kamil gregor: a bayesian model of ecological inferece (presentation for the 2012 eusoc conference)

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„Crazy 90s and boring 00s?“: The Stability of Structure of Individual-level behaviour in the Czech Republic Kamil Gregor

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This presentation was given by Kamil Gregor, data analyst with KohoVolt.eu, at the 2012 EUSOC Conference in Třebíč.

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Page 1: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

„Crazy 90s and boring 00s?“:The Stability of Structure of Individual-level behaviour

in the Czech Republic

Kamil Gregor

Page 2: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Why my paper sucks?

Page 3: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Why my paper sucks?

Page 4: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Why my paper sucks?

Page 5: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

The method…

Page 6: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Ecological inference problemBlacks Whites Total

1000600 400

? ? 400 Voters

? ? 600 Non-Voters

Page 7: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Ecological inference problemBlacks Whites Total

1000600 400

? ? 400 Voters

? ? 600 Non-Voters

Blacks Whites Total1000600 400

0 400 400 Voters

0 0 600 Non-Voters

Page 8: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Ecological inference problemBlacks Whites Total

1000600 400

? ? 400 Voters

? ? 600 Non-Voters

Blacks Whites Total1000600 400

0 400 400 Voters

0 0 600 Non-VotersBlacks Whites Total

1000600 400

400 0 400 Voters

200 400 600 Non-Voters

Blacks Whites Total1000600 400

200 200 400 Voters

400 200 600 Non-Voters

Page 9: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Basic Statistical Undeterminacy Problem

Pi = AiDi + Bi(1 – Di)

Whites BlacksTotal

1Pi 1 – Pi

Ai Di – Ai Di Voters

Bi(1 – Di) – Bi 1 – Di Non-Voters

Page 10: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

How to solve an unsolvable problem?

• Surveys – sometimes unavaliable– Lack of resources– Unreliable responces– Ex post research (I do not see dead people)

• Statistical models

Page 11: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

The model

Data Model Results

Page 12: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Model assumptions

• No changes in population• (No spatial autocorrelation)• A distribution of unobserved variables

corresponds to an a priori chosen distribution

Page 13: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Binomial Normal Distribution

Page 14: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Bayesian models

• Utilizing information on the distribution of observed variables to better assume a distribution of unobserved vatiables

Page 15: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

What is it good for?

• When dealing with aggregate data• Filling cells in a contingancy table

A B C

? ? ? α

? ? ? β

? ? ? γ

Page 16: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Examples in political science

• Social, economic and demographic characteristics of a population (e.g. an electorate of a political party)

• Voter transitions between elections• Ticket-splitting

Page 17: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

…and what to do with the method

Page 18: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Research question

• What the hell is going on?• The process of party system structuralization

in Central Europe in 1990s and 2000s• Central European party systems appear to be

unstructuralized but there might be a „hidden“ structure

• „Parties come and go but the structure remains the same (?)“

Page 19: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Research question

• Is there a stable underlying structure of electoral behaviour in Central Europe?

• The question is whether voters continually vote for political parties that occupy relatively similar position in a political space

Page 20: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

The thesis

• V4 countries• Parliamentary elections since early 1990s• Voter transition rates between political parties

in pairs of consequential elections

Page 21: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

The thesis

Non-voters VVČSSD KDU-ČSL KSČM ODS SUV SZ TOP09

Non-voters

ČSSD

ODS

KSČM

KDU-ČSL

SZ

Other

Page 22: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

A conceptualization of political space

An old leftist party

An old rightist party

An old rightist party

An old leftist party

A new leftist party

A new leftist party

An old rightist party

An old rightist party

Page 23: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Model A

An old leftist party

An old rightist party

An old rightist party

An old leftist party

A new leftist party

A new leftist party

An old rightist party

An old rightist party

Page 24: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Model B

An old leftist party

An old rightist party

An old rightist party

An old leftist party

A new leftist party

A new leftist party

An old rightist party

An old rightist party

1

Page 25: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Model C

An old leftist party

An old rightist party

An old rightist party

An old leftist party

A new leftist party

A new leftist party

An old rightist party

An old rightist party

Page 26: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Model D

An old leftist party

An old rightist party

An old rightist party

An old leftist party

A new leftist party

A new leftist party

An old rightist party

An old rightist party

Page 27: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Operationalization

• How to operationalize ideology?• How to operationalize „new“ and „old“?• Are these two concepts sufficient to describe a

political space?

Page 28: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Possible results

• „Crazy 1990s“ and „boring 2000s“?– Lack of structure in the 1990s and stability in

2000s• Why?

– Relative unexperience of voters– „Crystalization“ of parties‘ ideological profiles

Page 30: Kamil Gregor: A Bayesian model of ecological inferece (presentation for the 2012 EUSOC Conference)

Thanks for your attention

Kamil [email protected]