trade, unemployment and inequality

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 Index  Ricardo  HOS  HOV  Technology & Human Capital  Melitz meets Pissarides  Inequality & Unemployment University of Washington Trade, Unemployment and Inequality  A quick review Jorge Rojas-Vallejos 2015 Jorge Rojas-V allejos (UW)  Trade, Unemployment & Inequality  2015 1 / 89

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International trade, unemployment, income inequality, wage inequality, Seminar Review, University of Washington.

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  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    University of Washington

    Trade, Unemployment and InequalityA quick review

    Jorge Rojas-Vallejos

    2015

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 1 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS

    HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Content

    Ricardo

    HOS HOV

    Technology

    Human Capital

    Melitz meets Pissarides

    Inequality & Unemp.

    Detour

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 2 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Trade

    International Trade

    1 Allocation of resources across economic activities,

    2 Distribution of incomes across factors of production.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 3 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Trade

    International Trade

    1 Allocation of resources across economic activities,

    2 Distribution of incomes across factors of production.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 3 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    The Ricardian Assumptions:1 Two countries, two goods, one factor (labor),

    2 Labor is immobile across countries and mobile across sectors,3 Constant returns to scale (CRS) production,4 Identical and homothetic preferences,5 Perfect Competition (all agents are price takers).

    RemarkThe basic idea applied is opportunity cost. In a two-goods economya country will produce the one that requires less unit labour.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 4 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    The Ricardian Assumptions:1 Two countries, two goods, one factor (labor),2 Labor is immobile across countries and mobile across sectors,

    3 Constant returns to scale (CRS) production,4 Identical and homothetic preferences,5 Perfect Competition (all agents are price takers).

    RemarkThe basic idea applied is opportunity cost. In a two-goods economya country will produce the one that requires less unit labour.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 4 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    The Ricardian Assumptions:1 Two countries, two goods, one factor (labor),2 Labor is immobile across countries and mobile across sectors,3 Constant returns to scale (CRS) production,

    4 Identical and homothetic preferences,5 Perfect Competition (all agents are price takers).

    RemarkThe basic idea applied is opportunity cost. In a two-goods economya country will produce the one that requires less unit labour.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 4 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    The Ricardian Assumptions:1 Two countries, two goods, one factor (labor),2 Labor is immobile across countries and mobile across sectors,3 Constant returns to scale (CRS) production,4 Identical and homothetic preferences,

    5 Perfect Competition (all agents are price takers).

    RemarkThe basic idea applied is opportunity cost. In a two-goods economya country will produce the one that requires less unit labour.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 4 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    The Ricardian Assumptions:1 Two countries, two goods, one factor (labor),2 Labor is immobile across countries and mobile across sectors,3 Constant returns to scale (CRS) production,4 Identical and homothetic preferences,5 Perfect Competition (all agents are price takers).

    RemarkThe basic idea applied is opportunity cost. In a two-goods economya country will produce the one that requires less unit labour.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 4 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    The Ricardian Assumptions:1 Two countries, two goods, one factor (labor),2 Labor is immobile across countries and mobile across sectors,3 Constant returns to scale (CRS) production,4 Identical and homothetic preferences,5 Perfect Competition (all agents are price takers).

    RemarkThe basic idea applied is opportunity cost. In a two-goods economya country will produce the one that requires less unit labour.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 4 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky?

    PPF = BC

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Qwine

    Qmeat

    LChileaChilew

    LChileaChilem

    CChilem = QChilem

    CChilew = QChilew

    What do we know its true in Autarky? PPF = BCJorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 5 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    In a trading equilibrium, assume PmeatPwine >aChmeataChwine

    Qwine

    Qmeat

    LChaChw

    LChaChm

    uaut

    slope= PmeatPwine

    utrade

    CChm

    CChw

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 6 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    In a trading equilibrium, assume PmeatPwine >aChmeataChwine

    Qwine

    Qmeat

    LChaChw

    LChaChm

    uaut

    slope= PmeatPwine

    utrade

    CChm

    CChw

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 6 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    In a trading equilibrium, assume PmeatPwine >aChmeataChwine

    Qwine

    Qmeat

    LChaChw

    LChaChm

    uaut

    slope= PmeatPwine

    utrade

    CChm

    CChw

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 6 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    In a trading equilibrium, assume PmeatPwine >aChmeataChwine

    Qwine

    Qmeat

    LChaChw

    LChaChm

    uaut

    slope= PmeatPwine

    utrade

    CChm

    CChw

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 6 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    In a trading equilibrium, assume PmeatPwine >aChmeataChwine

    Qwine

    Qmeat

    LChaChw

    LChaChm

    uaut

    slope= PmeatPwine

    utrade

    CChm

    CChw

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 6 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    QuestionSome argue that high relative wages in the North relative to theSouth are evidence of Northern exploitation of Southern workers.What can we say about it in this framework?

    Yes, in this model wages are larger in the trading equilibrium thanin the autarky one.

    multi-goods extension continuum of goods

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 7 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Ricardian Model

    QuestionSome argue that high relative wages in the North relative to theSouth are evidence of Northern exploitation of Southern workers.What can we say about it in this framework?

    Yes, in this model wages are larger in the trading equilibrium thanin the autarky one.

    multi-goods extension continuum of goods

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 7 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    A Continuum of Goods

    The Dornbusch, Fischer, and Samuelson model (1977).

    1 A continuous of goods index by j [0,1],

    2 ac(j) is the amount of labour required in country c to produceone unit of good j,

    3 A(j) = aB(j)

    aA(j) is a downward slope monotonic function represen-ting the ratio of these ac(j) in the two countries of the model.

    This model facilitates the analysis of the range of goods that a coun-try will export and import.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 8 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    DFS modelRemarkAn expansion of the labour endowment of one country relative toother will cause it to expand its exports, NOT JUST by exportingmore of what it already exported, BUT ALSO by exporting goodsthat it previously imported.

    =wA

    wB

    aA(j)wA < aB(j)wB good j is produce in A and exported to B

    So, we have:

    A(j) > good j is produce in A and exported to BA(j) < good j is produce in B and imported by A

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 9 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    DFS modelPutting everything together gives:

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 10 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    DFS model

    With this framework many comparative statics can be done. DFSalso include transport costs explaining non-traded goods. Thus,

    RemarkEach country has a fraction of goods that it will be able to produceas long as they cost less than imported goods including the transportcost.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 11 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Many countries and Ricardo

    Please see:Eaton and Kortum (2002) Technology, Geography, and Trade,Econometrica, pp: 1741-1779.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 12 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Heckscher-Ohlin-Samuelson Model

    We just saw in the Ricardian model that:1 everyone wins from trade,2 there is only one factor of production (labour),3 outcome is complete specialization,4 differences in technology are the underlying mechanism.

    Too simple right?!

    In HOS, we assume:1 2 2 2 Model: 2 Countries, 2 Goods (Outputs), 2 Factors

    (Inputs),2 No productivity differences. All countries share the same

    technology.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 13 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Heckscher-Ohlin-Samuelson Model

    We just saw in the Ricardian model that:1 everyone wins from trade,2 there is only one factor of production (labour),3 outcome is complete specialization,4 differences in technology are the underlying mechanism.

    Too simple right?!

    In HOS, we assume:1 2 2 2 Model: 2 Countries, 2 Goods (Outputs), 2 Factors

    (Inputs),2 No productivity differences. All countries share the same

    technology.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 13 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Heckscher-Ohlin-Samuelson Model

    3 Output can be produced with different input mixes,4 Factors are mobile across sectors but not across countries,5 Countries differ in their relative abundance of factors.

    Assumption (5) is the source of comparative advantages in the HOSmodel1.

    1AKA Factor proportions theory

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 14 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Rybczynski Theorem

    An expansion in one factor (input) leads to an absolute decline inthe output of the commodity that uses the other factor more inten-sively.

    Assuming that:

    aLMaTM

    >aLFaTF

    M is more labour intensive than F

    If L increases, then F will decrease.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 15 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Stolper-Samuelson Theorem

    Assume M is more labour intensive than F, and pF is constant. Anincrease in pM raises the return to the factor used intensively in theproduction of M by an even greater relative amount2.

    M is labour intensive and pM increases = dww >dpMpM

    2Jones (1965), Journal of Political Economy. Great paper!

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 16 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Generalization

    Input endowment magnification effect. General Rybczynski theo-rem.(aLF

    aTF>

    aLMaTM

    ) (dLL

    >dTT)

    = dFF

    >dLL

    >dTT

    >dMM

    Output price magnification effect. General Stolper-Samuelson theo-rem.(aLF

    aTF>

    aLMaTM

    ) (dpFpF

    >dpMpM

    )= dw

    w>

    dpFpF

    >dpMpM

    >drr

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 17 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    PPF in HOS

    QT

    QC

    Why the PPF is not a straight-line?

    Exactly! Imperfect substitutability across sectors.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 18 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    PPF in HOS

    QT

    QC

    Why the PPF is not a straight-line?

    Exactly! Imperfect substitutability across sectors.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 18 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Open to trade

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 19 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Factor Price Equalization

    This model leads to:

    Relative factor prices converge across countries eventhough factors are immobile across countries!

    Factors of production are immobile across countries but goods aremobile. Trade in goods is enough to lead to factor price convergence.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 20 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Factor Price Equalization

    This model leads to:

    Relative factor prices converge across countries eventhough factors are immobile across countries!

    Factors of production are immobile across countries but goods aremobile. Trade in goods is enough to lead to factor price convergence.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 20 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Heckscher-Ohlin-Vanek Model

    The setup is as follows:1 Many countries, indexed by i {1, . . . ,C},2 Many sectors, indexed by j {1, . . . ,N},3 Many factors, indexed by k {1, . . . ,M},4 Technologies and preferences are identical across countries,5 FPE prevails under free and frictionless trade.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 21 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Empirical Evidence

    How does HOV model perform?

    Quoting Davis et al. (NBER 5625). Empirically... it is a flop.

    Quoting Davis again ... relaxing the assumption of FPE yields adramatic improvement...

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 22 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Empirical Evidence

    How does HOV model perform?

    Quoting Davis et al. (NBER 5625). Empirically... it is a flop.

    Quoting Davis again ... relaxing the assumption of FPE yields adramatic improvement...

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 22 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Empirical Evidence

    How does HOV model perform?

    Quoting Davis et al. (NBER 5625). Empirically... it is a flop.

    Quoting Davis again ... relaxing the assumption of FPE yields adramatic improvement...

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 22 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology, Human Capital And Unemployment

    In this section we discuss some of the ideas in:

    Davis (1998) Technology, unemployment, and relative wagesin a global economy, European Economic Review, and

    Davis et al. (2000) Human capital, unemployment, and rela-tive wages in a global economy, Federal Reserve.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 23 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology, Human Capital And Unemployment

    So far, we have always assumed full employment of factors and non-market rigidities. However, there are two factor market develop-ments of interest that we would like to understand.

    1 The growing skilled-to-unskilled wage gap in the UnitedStates,

    2 The rise and persistence of unemployment in Europe.

    To understand this the usual approach was looking at each regionseparately, but Davis (1998) had the idea of looking at the problemin a unified model of a trading world. We are in a global economyand hence the dynamic system is integrated more than ever before.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 24 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology, Human Capital And Unemployment

    So far, we have always assumed full employment of factors and non-market rigidities. However, there are two factor market develop-ments of interest that we would like to understand.

    1 The growing skilled-to-unskilled wage gap in the UnitedStates,

    2 The rise and persistence of unemployment in Europe.

    To understand this the usual approach was looking at each regionseparately, but Davis (1998) had the idea of looking at the problemin a unified model of a trading world. We are in a global economyand hence the dynamic system is integrated more than ever before.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 24 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology, Human Capital And Unemployment

    So far, we have always assumed full employment of factors and non-market rigidities. However, there are two factor market develop-ments of interest that we would like to understand.

    1 The growing skilled-to-unskilled wage gap in the UnitedStates,

    2 The rise and persistence of unemployment in Europe.

    To understand this the usual approach was looking at each regionseparately, but Davis (1998) had the idea of looking at the problemin a unified model of a trading world. We are in a global economyand hence the dynamic system is integrated more than ever before.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 24 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology and Unemployment

    The structure of this economy is the HOS model, except that em-ployment of unskilled labour will be subject to a binding minimumwage. We (they) assume that skilled labour is fully employed. Thus,

    HX + HY = H (1)

    while the unskilled labour factor market constraint due to the min-imum wage regulation is,

    NX + NY + U = N + U = L (2)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 25 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology and UnemploymentDefine the relative goods price as P pX/pY and the relative worldendowment as h H/L. So,

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 26 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Technology and UnemploymentFor the United States (flexible wage),

    LUSX + LUSY = L

    US (3)

    For Europe (regulation min. wage),

    NEX + NEY + U = N

    E + U = LE (4)

    Figure: Trading equilibrium

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 27 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Neutral technical progress in X at fixed prices

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 28 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    American labour(unskilled) saving technicalprogress in X

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 29 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Human Capital and Unemployment

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 30 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Human Capital and Unemployment

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 31 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Melitz meets Pissarides

    Firm Heterogeneity, search unemployment and tradeliberalization

    by Felbermayr, Prat, and Schmerer.Working paper at The European Trade Study Group (2007).

    In this paper, they introduce unemployment a` la Pissarides (2000)into Melitz (2003).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 32 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The Model

    Assumptions:I HHs utility follows U = ln C + U,I Perfect financial markets,I r is exogenous,I Labour only factor of production,I Labour is inelastically supplied,I Perfect competition for final consumption good,I Monopolistic competition, at the intermediate inputs level,

    firms produce each a unique variety.

    They focus in the long-run, excluding the short-run dynamics.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 33 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The Model

    Production function:

    Y =[M

    1

    q()1 d

    ] 1

    , > 1 (5)

    where is the elasticity of substitution between any two varietiesand is the mass M of intermediate inputs.

    The price index dual is:

    P =[

    1M

    p()d]1/(1)

    (6)

    where p() is the price of input .

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 34 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The Model

    Quantities of intermediates inputs are:

    q() =YM

    p() (7)

    Total production costs are:

    c() = w()q()()

    + f (8)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 35 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The Model

    The labour market is characterized by search frictions. The aggre-gate matching function exhibits CRS.

    Firms

    Workers

    Some definitions: = v/u: vacancy-unemployment ratio,c: cost of posting vacancies

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 36 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Pricing Behaviour

    The market value of an intermediate producer with productivity is:

    J(l, ) = Maxv

    11 + r

    {p(q)qw(l, )l cv + (1 )J(l, )}

    subject to

    p(q) =(

    YM

    ) 1

    q1 (9)

    q = ll = (1 )l + m()v

    some firms will exit, and some worker-firm matches will be de-stroyed (probabilities).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 37 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Pricing Behaviour

    The market value of an intermediate producer with productivity is:

    J(l, ) = Maxv

    11 + r

    {p(q)qw(l, )l cv + (1 )J(l, )}

    subject to

    p(q) =(

    YM

    ) 1

    q1 demand

    q = l firm production functionl = (1 )l + m()v law of motion

    some firms will exit, and some worker-firm matches will be des-troyed (probabilities).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 37 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Pricing Rule

    After some algebra:

    p(l, ) =1

    (

    1)[

    w(l, ) +w(l, )

    ll +

    cm()

    (r + s1

    )](10)

    Second term is the over-employment effect, and third term is therecruitment cost.s + + is the rate of job destruction.

    Melitz (2003) was:

    p(l, ) =1

    (

    1)

    w(l, ) =w

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 38 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage BargainingThe bargaining process is summarized in an exogenous parameter .However, this could endogenized.

    Combining the Nash-bargainingcondition and using the envelope theorem for the pricing problemleads to:

    Job Creation equation:

    w(l, ) = p(l, )( 1

    )(

    r + s1

    )c

    m()(11)

    Wage Curve equation:

    w(l, ) = rU +(

    1 )(

    r + s1

    )c

    m()(12)

    (12) strikingly shows that wages are constant across firms! Why?Firms exploit their monopsony power till workers are paid their out-side option.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 39 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage BargainingThe bargaining process is summarized in an exogenous parameter .However, this could endogenized. Combining the Nash-bargainingcondition and using the envelope theorem for the pricing problemleads to:

    Job Creation equation:

    w(l, ) = p(l, )( 1

    )(

    r + s1

    )c

    m()(11)

    Wage Curve equation:

    w(l, ) = rU +(

    1 )(

    r + s1

    )c

    m()(12)

    (12) strikingly shows that wages are constant across firms! Why?Firms exploit their monopsony power till workers are paid their out-side option.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 39 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage BargainingThe bargaining process is summarized in an exogenous parameter .However, this could endogenized. Combining the Nash-bargainingcondition and using the envelope theorem for the pricing problemleads to:

    Job Creation equation:

    w(l, ) = p(l, )( 1

    )(

    r + s1

    )c

    m()(11)

    Wage Curve equation:

    w(l, ) = rU +(

    1 )(

    r + s1

    )c

    m()(12)

    (12) strikingly shows that wages are constant across firms! Why?

    Firms exploit their monopsony power till workers are paid their out-side option.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 39 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage BargainingThe bargaining process is summarized in an exogenous parameter .However, this could endogenized. Combining the Nash-bargainingcondition and using the envelope theorem for the pricing problemleads to:

    Job Creation equation:

    w(l, ) = p(l, )( 1

    )(

    r + s1

    )c

    m()(11)

    Wage Curve equation:

    w(l, ) = rU +(

    1 )(

    r + s1

    )c

    m()(12)

    (12) strikingly shows that wages are constant across firms! Why?Firms exploit their monopsony power till workers are paid their out-side option.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 39 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Entry, Exit And Autarky Equilibrium

    As in Melitz (2003), the entry process is in two stages.1 Develop new variety. Sunk cost fE, fixed costs f .2 Firm learns its productivity and decides {stay, exit}

    Similar math to the one in Melitz leads to the next to graphical re-lations.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 40 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Equilibrium Threshold Productivity

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 41 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Equilibrium Labour Market Tightness

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 42 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Trade Liberalization

    Next, we study the effects of trade liberalization on productivityand unemployment. They run the following comparative statics:

    1 Falling transport costs,

    2 Rising number of trade relations,

    3 Rising fixed costs for export.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 43 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Fall in Transport Costs

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 44 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Rise Trade Relations

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 45 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Rise Fixed Costs for Export

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 46 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Inequality: The famous Gini index

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 47 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    A Quick Look at Inequality

    Since 1947, when the General Agreement on Tariffs and Trade (GATT)was created, the world trading system has benefited from multilateraltrade liberalization (IMF website)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 48 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Gini World Today

    Source: World Bank

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 49 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Poverty $2 a day (PPP) Today

    Source: World Bank

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 50 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Inequality and Unemployment

    In this section we look at the model developed in:

    Helpman, Elhanan, Oleg Itskhoki, and Stephen Redding. (2010).Inequality And Unemployment In A Global Economy,

    Econometrica, 78(4), pp: 1239-1283.

    This model introduces search and matching frictions into a Melitz(2003) framework.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 51 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Inequality and Unemployment

    We will study the determinants of wage distributions, namely:

    1 Within-industry reallocation,

    2 Labour market frictions,

    3 Differences in workforce composition across firms.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 52 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Preview

    I The opening of trade enhances wage inequality, but can eitherraise or reduce unemployment,

    I Wage inequality is higher in a trade equilibrium than in au-tarky. BUT, gradual trade liberalization first increases and laterdecreases inequality.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 53 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Preview

    I The opening of trade enhances wage inequality, but can eitherraise or reduce unemployment,

    I Wage inequality is higher in a trade equilibrium than in au-tarky. BUT, gradual trade liberalization first increases and laterdecreases inequality.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 53 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Preview

    A trade friction can either raise or reduce wage inequality dependingupon the initial condition.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 54 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    What is new here?

    In this paper the new key feature is that they allow for an endoge-nous measure of matched workers for each firm rather than as-suming one-to-one matching between firms and workers.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 55 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    What is new here?

    In this paper the new key feature is that they allow for an endoge-nous measure of matched workers for each firm rather than as-suming one-to-one matching between firms and workers.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 55 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The Model

    Assumptions:1 Two countries, Home and Foreign (*),

    2 Continuous of workers ex-ante identical,

    3 Workers are risk-neutral (later they extend this to risk-averseones),

    4 Demand within the sector is defined over the consumption of acontinuum of horizontally differentiated varieties + CES.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 56 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The ModelReal consumption index for the sector is:

    Q =[

    jJq(j)dj

    ]1/, (0,1) (13)

    controls for the elasticity of substitution between varieties.

    Demand function for a given variety j is,

    q(j) = A1/(1)p(j)1/(1), A is a demand shifter (14)

    The equilibrium revenue of a firm is,

    r(j) = p(j)q(j) = Aq(j) (15)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 57 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actions

    fe > 0

    ac

    Exit

    Domestic

    D&E markets

    Bargaining over surplus

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 58 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms actionsWhere:fe: fixed entry cost (sunk) is i.d. following a Pareto Distribution

    G() = 1(min

    )z, min > 0, z > 1

    ac: screening threshold

    Tractable and a good approximation to observed data.Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 59 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Other costs in the model

    1 fd > 0: fixed cost of production,

    2 fx > 0: fixed cost of exporting,

    3 > 1: iceberg variable trade cost, basically, we need to ship so the foreign market gets 1 unit of our good.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 60 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Production Technology

    y = (h a) , (0,1) (16)

    where:y: output of each variety,: firms productivity,h: workers hired,a: average ability of these workers.

    Also, a Ga(a) with parameter k > 1. A key feature here is com-plementarity in worker ability. The productivity of a worker isincreasing in the abilities of other workers employed by the firm.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 61 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Production Technology

    y = (h a) , (0,1) (16)

    where:y: output of each variety,: firms productivity,h: workers hired,a: average ability of these workers.

    Also, a Ga(a) with parameter k > 1. A key feature here is com-plementarity in worker ability. The productivity of a worker isincreasing in the abilities of other workers employed by the firm.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 61 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Screening Technology

    We (they) assume that all firms have the same screening technol-ogy. Worker ability cannot be costlessly observed when firms andworkers are matched.

    Screening imprecise signal about a

    Screening cost is assumed to be:

    sc(ac) = cac, c, > 0 (17)

    Intuitive sense that higher ability higher cost of screening.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 62 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Workers hired

    a ac

    h = n(

    aminac

    )k a = k

    k 1ac

    This average ability into the production function yields,

    y = yna1kc , y =k

    k 1akc (18)

    The knife-edge condition such that firms screen is k (0,1)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 63 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Workers hired

    a ac h = n(

    aminac

    )k

    a = kk 1ac

    This average ability into the production function yields,

    y = yna1kc , y =k

    k 1akc (18)

    The knife-edge condition such that firms screen is k (0,1)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 63 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Workers hired

    a ac h = n(

    aminac

    )k a = k

    k 1ac

    This average ability into the production function yields,

    y = yna1kc , y =k

    k 1akc (18)

    The knife-edge condition such that firms screen is k (0,1)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 63 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Workers hired

    a ac h = n(

    aminac

    )k a = k

    k 1ac

    This average ability into the production function yields,

    y = yna1kc , y =k

    k 1akc (18)

    The knife-edge condition such that firms screen is k (0,1)

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 63 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms revenues

    r() rd() + rx()

    r() Y()1Ay()

    where Y() is the firms market access.

    Y() 1 + Ix()/(1)(

    A

    A

    )1/(1)where Ix() is an indicator function for exporting.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 64 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Firms revenues

    r() rd() + rx()

    r() Y()1Ay()

    where Y() is the firms market access.

    Y() 1 + Ix()/(1)(

    A

    A

    )1/(1)where Ix() is an indicator function for exporting.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 64 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Bargaining problem

    The outcome is:I Firms fraction is

    1(1 + )

    I Each worker gets1 1

    (1 + )

    The firm can perfectly anticipate this while maximizing profits.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 65 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    The Firms optimization problem

    Max pi()

    s.t. Production technology

    Total Revenue

    Firms market access

    or,

    pi() = Maxn,ac,Ix

    11 +

    [1 + Ix/(1)

    (A

    A

    )1/(1)]1

    A(yna1kc ) bn c

    ac fd Ixfx

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 66 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Access Market

    The presence of fixed production costs imply a zero-profit cutoff suchthat:

    Y() ={

    1 if d < < xYx if x

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 67 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    FOCs firm

    h

    n(a) Measure of workers sampled

    h

    ac(b) Screening a threshold

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 68 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Revenues and Wages

    The higher the productivity, the larger the revenues and the largerthe size of the firm. This depends on > k. We now that the shareof workers is /(1 + ). Hence,

    w() =

    1 + r()h()

    =subs.

    b[

    ac()amin

    ]k(19)

    In addition, the expected wage conditional on being sample is thesame across all firms, so

    w()h()n()

    = b = search cost (20)

    Thus, workers have no incentive to direct their search.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 69 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Revenues and Wages

    The higher the productivity, the larger the revenues and the largerthe size of the firm. This depends on > k. We now that the shareof workers is /(1 + ). Hence,

    w() =

    1 + r()h()

    =subs.

    b[

    ac()amin

    ]k(19)

    In addition, the expected wage conditional on being sample is thesame across all firms, so

    w()h()n()

    = b = search cost (20)

    Thus, workers have no incentive to direct their search.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 69 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Revenues and Wages

    Combining the above with FOCs, we get:

    ln w() = Constant +k

    k ln h() (21)

    If > k, then there is an employer-size wage premium.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 70 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Revenues and Productivity

    Using the FOCs into the revenue function, we get:

    r() = r[c(1k)/bY()A

    ]1/(22)

    From (22) we see that relative revenues of any two firms depend onlyon:

    1 relative productivities,2 relative market access.

    r(i)r(j)

    =

    (ij

    )/(Y(i)Y(j)

    )/

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 71 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Labour market tightness

    Search cost is assumed to be increasing in labour market tightness(x),

    b = 0x1 , 0 > 1, 1 > 0

    labour market tightness is,

    x =NL

    where N is workers sampled and L is workers searching for employ-ment in the sector. Thus, expected income in the sector is,

    = Expected wage prob. being sampled = bx (23)

    (23) uses risk-neutrality of workers.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 72 / 89

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    Wages as a function of firm productivity

    So, more productive firms NOT only have higher revenues, profitsand employment, as in the benchmark model of firm heterogeneityof Melitz (2003), BUT ALSO pay higher wages.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 73 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage Inequality in the Closed Economy

    w Gw(w) = 1(wmin

    w

    )1+1/

    PropositionIn the closed economy, is a sufficient statistic for sectoral wageinequality. In particular,

    i. the coefficient of variation of wages is /

    1 2ii. the Lorenz curve is represented by sw = 1 (1 sh)1/(1+), where

    sh is the fraction of workers and sw is the fraction of their wageswhen workers are ordered from low-to-high-wage earners,

    iii. the Gini coefficient is /(2 + ),iv. the Theil index is ln(1 + ).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 74 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage Inequality in the Closed Economy

    w Gw(w) = 1(wmin

    w

    )1+1/

    PropositionIn the closed economy, is a sufficient statistic for sectoral wageinequality. In particular,

    i. the coefficient of variation of wages is /

    1 2ii. the Lorenz curve is represented by sw = 1 (1 sh)1/(1+), where

    sh is the fraction of workers and sw is the fraction of their wageswhen workers are ordered from low-to-high-wage earners,

    iii. the Gini coefficient is /(2 + ),iv. the Theil index is ln(1 + ).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 74 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Wage Inequality in the Closed Economy

    PropositionIn the closed economy, inequality in the sectoral distribution of wagesis increasing in firm productivity dispersion (lower z) and increasingin worker ability dispersion (lower k) if and only if

    z1 + 1 + > 1

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 75 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Open versus Closed Economy

    Figure: Cumulative distribution function of wages

    Propositioni. Sectoral wage inequality in the open economy when some but

    not all firms export is strictly greater than in the closed economy,Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 76 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Open versus Closed Economy

    Propositionii. Sectoral wage inequality in the open economy when all firms

    export is the same as in the closed economy.

    This proposition highlights a new mechanism for wage inequalitydue to trade that is not present in HOS...

    Participation of some but not all firms in exporting

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 77 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Open versus Closed Economy

    Propositionii. Sectoral wage inequality in the open economy when all firms

    export is the same as in the closed economy.

    This proposition highlights a new mechanism for wage inequalitydue to trade that is not present in HOS...

    Participation of some but not all firms in exporting

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 77 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Open versus Closed EconomyCorollaryAn increase in the fraction of exporting firms,I raises sectoral wage inequality when the fraction of export-

    ing firms is sufficiently small,I reduces sectoral wage inequality when the fraction of export-

    ing firms is sufficiently large.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 78 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 79 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Open versus Closed Economy

    PropositionThe opening of the closed economy to trade amplifies differences inworkforce composition across firms.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 80 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Sectoral UnemploymentWorkers may be unemployed mainly for two reasons,

    1 They are not matched with a firm,

    2 Their match-specific ability draw a < ac(1) and (2) are frictional elements since workers cannot immediatelyachieve another match or another ability level.

    Sectoral unemployment rate u is defined as,

    u =LH

    L= 1 H

    N

    NL

    = 1 x (24)

    where H is the measure of hired workers, N matched workers, Lworkers seeking for employment in the sector, and is the sectoralhiring rate.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 81 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Sectoral Unemployment

    They smartly derived,

    = (,Yx)aut (25)

    then they analyze the () function,(0,Yx) = 10 < (,Yx) < 1, (0,1] since Yx > 1 > k

    Thus, they get the next proposition.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 82 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Sectoral Unemployment

    PropositionThe opening of the closed economy to trade has an ambiguousoverall effect on the sectoral unemployment rate:

    i. The tightness of the labour market can either remain constantor rise following the opening of trade, which leaves unchangedor reduces the rate of unemployment,

    ii. The hiring rate is strictly lower in the open economy than in theclosed economy, which raises the rate of unemployment.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 83 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Extensions of this model

    1 Heterogenous workers ex-ante The results on within-group wage inequality hold,

    Wage inequality between different groups may increase or de-crease,

    The rise of within-group inequality dominates, hence trade liber-alization raises overall wage inequality.

    2 Risk-averse workers Predictions for wage inequality are the same as for risk-neutral

    workers, The opening of trade has two effects,

    increases expected worker income (),increases labour market tightness (x) and search costs (b).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 84 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Extensions of this model

    1 Heterogenous workers ex-ante The results on within-group wage inequality hold, Wage inequality between different groups may increase or de-

    crease,

    The rise of within-group inequality dominates, hence trade liber-alization raises overall wage inequality.

    2 Risk-averse workers Predictions for wage inequality are the same as for risk-neutral

    workers, The opening of trade has two effects,

    increases expected worker income (),increases labour market tightness (x) and search costs (b).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 84 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Extensions of this model

    1 Heterogenous workers ex-ante The results on within-group wage inequality hold, Wage inequality between different groups may increase or de-

    crease, The rise of within-group inequality dominates, hence trade liber-

    alization raises overall wage inequality.

    2 Risk-averse workers Predictions for wage inequality are the same as for risk-neutral

    workers, The opening of trade has two effects,

    increases expected worker income (),increases labour market tightness (x) and search costs (b).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 84 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Extensions of this model

    1 Heterogenous workers ex-ante The results on within-group wage inequality hold, Wage inequality between different groups may increase or de-

    crease, The rise of within-group inequality dominates, hence trade liber-

    alization raises overall wage inequality.2 Risk-averse workers

    Predictions for wage inequality are the same as for risk-neutralworkers,

    The opening of trade has two effects,increases expected worker income (),increases labour market tightness (x) and search costs (b).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 84 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Extensions of this model

    1 Heterogenous workers ex-ante The results on within-group wage inequality hold, Wage inequality between different groups may increase or de-

    crease, The rise of within-group inequality dominates, hence trade liber-

    alization raises overall wage inequality.2 Risk-averse workers

    Predictions for wage inequality are the same as for risk-neutralworkers,

    The opening of trade has two effects,increases expected worker income (),

    increases labour market tightness (x) and search costs (b).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 84 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Extensions of this model

    1 Heterogenous workers ex-ante The results on within-group wage inequality hold, Wage inequality between different groups may increase or de-

    crease, The rise of within-group inequality dominates, hence trade liber-

    alization raises overall wage inequality.2 Risk-averse workers

    Predictions for wage inequality are the same as for risk-neutralworkers,

    The opening of trade has two effects,increases expected worker income (),increases labour market tightness (x) and search costs (b).

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 84 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    THANKS!

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 85 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Why do we care?

    Figure: President Salvador Allende (1971) with Chilean workers

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 86 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Why do we care?

    Figure: Coup detat (1973) in Chile. A democratic government wasoverthrown!

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 87 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Why do we care?

    Figure: Some of us were lucky. Others still do not know where theirrelatives are!

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 88 / 89

  • Index Ricardo HOS HOV Technology & Human Capital Melitz meets Pissarides Inequality & Unemployment

    Why do we care?

    Figure: Some advised the new government.

    Without Equality of Opportunity, Freedom is the privileged of a fewand Oppression the reality of everyone else.

    Jorge Rojas-Vallejos (UW) Trade, Unemployment & Inequality 2015 89 / 89

    IndexRicardoHOSHOVTechnology & Human CapitalMelitz meets PissaridesInequality & Unemployment