program magister kependudukan & ketenagakerjaan universitas indonesia ekonomi kependudukan, 13...
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Program Magister Kependudukan & Ketenagakerjaan
Universitas IndonesiaEkonomi Kependudukan,
13 Desember 2011
The origin of gender difference The economics of gender Blinkers in economic theory Gender difference in labor market Example of gender bias policies
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Sex: perbedaan secara biologisLaki-laki (male) vs perempuan (female)
Gender: Characteristics attributed that are socially (and psychologically) associated with being female and maleFeminineMasculine
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Sumber: http://www.flyfishingdevon.co.uk/salmon/year3/psy364gender-nature-nurture/psy364gender-nature-nurture.htm#nature_nurture
Sumber: http://www.flyfishingdevon.co.uk/salmon/year3/psy364gender-nature-nurture/psy364gender-nature-nurture.htm#nature_nurture
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Integrating gender concept into economic theory (e.g. time allocation)
Interaksi agen ekonomi dalam keluarga, perusahaan, pasar, berbeda antara laki-laki dan perempuan
What perspective: economic approach to gender differences
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Prinsip ekonomi (does it apply to everyone?): Decision making under constraints (scarcity) Humans are asumed to be rational, imply:
Consistent: act the same way in identical situation Foresight: consider long run implications and
indirect effects on their behavior
Debate over sexual division of labor: biologically or culturally determined (social construction)
Economic principle: max own utility-altruism? (family utility?); father’s choice vs mother’s choice (mis: susu anak vs rokok)
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Macroeconomic policy is gender blind: Pursue aggregate goals, blind to
differential impacts on all individuals (by gender, sector, location, race, religion, culture, etc)
The omission of gender concerns:Generates policy with inefficient macro-
level outcomesGive unpredicted micro-level consequences
for women, children and families
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Globalization: macro policy assign primary importance to: international trade (export-led development strategy), economics liberalisation, operation of free markets
All economic agents are affected by these macroeconomic policies; but: Women & children are vulnerable to these policies.
Old days: Women didn’t enter the market, rely on cash povided by men (?)
Resources within subsistence economy, then become more subject to macro policy
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Basic needs (health and education) formerly met within the household, move into public sector met by the government
Basic needs became more monetize, sophisticated – expensive
Facts: In many developing countries, under
externally imposed structural adjustment and stabilisation regime, the instruments of macroeconomic policy reduces access of women and children to basic goods and services;
Contoh: traktor, sophisticated machinery, etc.02/12/2011ELP & DHA 13
1. Boundary Blinkers: Invalid assumption about the nature & importance of boundary between the household and market
Microeconomic theory concerns with behaviour in consumption & production activities that are constrained by scarcity resources: Only activities that have market or exchange value (!)
Boundary blinkers, failure to correctly specified the “base population” for the measurement of economic activity.
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Consequences:Movements of productive activities from
household to market are intepreted as an increase in production because the basis for comparison is not the total universe of economic activity (only the monetised ones)
Clearly seen in:National accounting systemMeasurement of economic growth
Taking account this problem:New household economics (NHE): time
allocation02/12/2011ELP & DHA 15
‘…women initially took on time‑consuming, labor‑intensive tasks in the home to contribute their fair share to the domestic economy in lieu of monetary contributions. But subsequently, when they began to contribute financially, they were still held responsible for these tasks, either by providing the services themselves or by contributing additional money to buy substitutes. This additional assessment is the gender tax.(H. E. Baber, 1999)
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2. Measurement Blinkers: Not recognizing contribution of household production and women in the household to social and economic welfare Contribution of women: under-enumerated,
especially their participation in the labor force and their role in biological reproduction & care (and household production)
Simple microeconomic theory asume work or not decision is only about allocation of time between work or leisure (valid mostly for men?)
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3. The Specification Problem: Problem arise from the failure of conventional economics to identify & take into account the opportunity cost of women’s time.Nonmarket activities: treated as costless &
ignored, considered as unpriced resources.Conventional economics are restricted on
monetary transactions & its principal actorsThe key: to use opportunity cost of
nonmonetised activities as women’s domestic activities, create human capital (health and education and quality of future generation) therefore contribute to economic production
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4. The Efficiency Problem: Due to gender bias, the resource allocation is not effective
Effect of gender bias: Acts as subsidy: unpaid household
inputs are unpaid the true value (remember gender tax!)
Women’s unpaid family labor subsidized economic production generally
Unequal access on control of resources.
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Effect of gender bias (ctd.): Inability to move between jobs, and to
search higher returns, lack the incentives for HH to provide complementary physical capital or technology to raise women’s labor productivity
Value of women’s reproductive role undervalued
Lower lifetime earnings, lead to no incentive to undertake human capital investment among women
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5. Contextual Blinkers: Is blinked to the economic significance of social and institutional context in which economic activity takes place & neglecting the role of : families, households, social and cultural norms, conventions and institutions.
Family and household considered as moral economy: individual decision to max utility;
Values, attitudes, social conventions, behavioral norms and cultural mores are overlooked
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This blinker made women to be ignored by social and institutions.
Contextual blinkers: blind to the fact that social conventions are other sources of allocative inefficiency, restricting free movement of female resources to their most productive use.
By increasing social and psychological cost and reducing the benefit of market work for women.
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Rata-rata Upah Menurut Pendidikan & Jenis Kelamin, 2007
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No PendidikanLaki-laki
(Rp)Perempuan
(Rp)Jumlah
1 >SD1,421,217 1,078,925
1,401,267
2 SMP1,549,586 1,059,262
1,424,618
3 SMA2,342,967 1,806,685
2,196,896
4Akademi/Diploma 3,275,466 2,537,911
2,915,758
5 Universitas2,496,516 1,664,763
2,193,644
Rata-rata 958,972 715,414 88,393
Sumber: BPS, Sakernas 2007, dikutip dari Fa’atin (2010)
Rata-rata Upah Menurut Jenis Pekerjaan & Jenis Kelamin, 2006
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Sumber: BPS, Sakernas 2006, dikutip dari Fa’atin (2010)
No Jenis Pekerjaan UtamaLaki-laki
(Rp)Perempuan
(Rp)
1 Tenaga Profesional 1,342,653 1,020,413
2 Tenaga Kepemimpinan 2,442,855 1,731,417
3 Tenaga Tata Usaha 1,239,736 1,039,248
4 Tenaga Usaha Penjualan 472,697 553,359
5 Tenaga Usaha Jasa 774,889 376,806
6 Tenaga Usaha Pertanian 416,401 215,148
7 Tenaga Produksi 749,498 504,935
8 Lainnya 1,515,132 1,197,637
Rata-rata 1,119,233 829,870
Angka Pengangguran Terbuka Menurut Jenis Kelamin, 2004-2008
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Sumber: BPS, dikutip dari Fa’atin (2010)
Jenis Kelamin 2004 2005 2006 2007 2008
Laki-laki 8,1 9,3 8,5 8,1 7,6
Perempuan 12,9 14,7 13,4 10,8 9,7
Total 9,9 11,2 10,3 9,1 8,4
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Source: US Census Bureau, Census 2000 Special Equal Employment Opportunity (EEO) Tabulation for Rhode island, cited from http://www.dlt.ri.gov/lmi/pdf/gender.pdf
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Sumber: Dikutip dari Zulminarni(2001)
CONTOH KEBIJAKAN DAN DAMPAKNYA PADA PERANEKONOMI PEREMPUAN
Poverty allevation: Unconditional Cash Transfer (Bantuan
Langsung Tunai/BLT) vs Conditional Cash Transfer (Program
Keluarga Harapan/PKH) Fiscal stimulus programs:
Labor creation through infrastructure investment Employment Urban Rural Total
Share Male Female Male Female Male Female Total Economy wide 25.4% 15.6% 36.9% 22.1% *62.3% *37.7% 100.0%
Construction 46.9% 1.6% 50.8% 0.8% *97.7% *2.4%**100.1
%
Sumber: DySAM output cf. Chatani and Ernst (2011), (*mistakes found corrected; ** due to number rounding up)
Gender biased taxation: Direct tax
Lower rates for (married) men (with families or dependants)
Joint income: higher rates for lower income earner
Tax exemption benefits men as they are usually who run business, house owners, share holders
Indirect tax (VAT tax) Women tend to buy commodities related to
health, education, nutrition compared to men Contoh Indonesia: Konsumsi rokok vs susu
anak02/12/2011ELP & DHA 32
Gender Based Taxation (GBT): Direct tax
Lower tax rate for women (due to the more elastic supply of labor and more substitutable market work for household work)
Higher tax for men (less substitutable of work for for household work)
With assumption of marriage is universal, higher marginal tax for men is optimal (Alesina, Ichino, Karabarbounis, 2010)
Indirect tax Adjusted for the gender bias purchase
behavior?
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Bias jender tampak dalam perilaku ekonomi dalam rumah tangga maupun pasar tenaker
Kebijakan makro bisa ‘buta jender’ Perspektif jender memperkaya sudut
pandang dalam memahami dan menganalisis masalah dan juga membantu dalam menelurkan kebijakan yang tepat
Lalu…Apakah Anda setuju bahwa bias jender (termasuk juga bias sektoral, bias wilayah, bias urban, bias SARA) harus dikoreksi oleh pemerintah?
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