A Meta-Regression Analysis of Intergenerational Transmission of Income and the “Great- Gatsby Curve” MAER-NET Colloqium, Prague 2015 Francisco Perez-Arce.

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Presentation transcript:

A Meta-Regression Analysis of Intergenerational Transmission of Income and the “Great- Gatsby Curve” MAER-NET Colloqium, Prague 2015 Francisco Perez-Arce

Is there a relationship between inequality and inequality of opportunity? Concern that recent increases in inequality may make societies less “static” Are high levels of inequality consistent with the “American Dream”?

There is a cross-country correlation between income inequality and Intergenerational Elasticity (IGE) of Child to Parent Income IGE is a measure of Intergenerational Transmission of Income (IGTI). (From a regression of child income (in logs) to (parental income) The “Great Gabsy” Curve from Krueger (2012)

Futile to ask whether there is a causal relation Several mechanisms lie behind the relationship.

Taking the Great-Gatsby Curve further: Do different measures of Income Inequality and intergenerational transmission of income yield different results? Does the within country (across time) changes in inequality also related to changes in IGTI – (can be seen as the panel data version of the Great Gatsby) Do the methodology used in estimating IGTI influence the relationships.

Why a Meta-Regression Analysis? The IGE and other measures of IGTI are derived from research studies – there are no official and comparable statistics on it. It allows us to control for differences in methodology and context.

This is work in progress! Collect studies that estimate indicators of IGTI such as : IGE, parent-child correlations, income transition matrices, rank-rank correlations – From developed countries. Collect indicators on methodology that may affect results: – Gender of parents and children used – Type of income (family/or individual) – Number of years of parental income that is averaged – Number of observations, etc Match to Income Inequality data (our independent variable of interest).

Reproducing the “Great Gatsby”

The Great Gatsby with multiple observations per country

Different Measures of ITGI

Contemporaneous Inequality more strongly correlated than childhood inequality

We can expand this analysis to a regression framework

The Great Gatsby Curve Across Time (1/3)

The Great Gatsby Curve Across Time (2/3)

The Great Gatsby Curve Across Time (3/3) United Kingdom, Blanden and Machin (2008).

Using Country (and country/study) Fixed Effects

Conclusions The Cross-Country Correlation depicted in the Great- Gatsby Curve is: – Robust to controlling for methodology of studies – Robust to different measure of IGTI – Robust, but to different degrees of strength, to the “location” of Income Inequality There is no evidence that within-country changes in Income Inequality is equally related to IGTI Possible explanations are: – Lack of power – Differences in drivers of change – Corrective policies.