Back Matter
  • 1 https://isni.org/isni/0000000404811396, International Monetary Fund

Appendix A: Regression Results for Inequality

Table A1.

Drivers of Inequality (Advanced vs. Developing Economies)

article image
Driscoll-Kraay robust t-statistics in parentheses. They are robust to very general forms of cross-sectional and temporal dependence. Country fixed effects, time fixed effects and a constant term are included in each regression but are not reported.*** p<0.01, ** p<0.05, * p<0.1
Table A2.

Drivers of Inequality (Human Capital, Demographics, and Labor Market Institutions)

article image
t-statistics in parentheses*** p<0.01, ** p<0.05, * p<0.1

Appendix B: Robustness Checks of the Baseline Regression

A first robustness check (Table B1) accounts for the nature of the SWIID data being based on imputed values. The regression is a standard OLS regression without Driscoll-Kraay correction as the two commands cannot be combined. The regression is performed repeatedly using multiple Monte Carlo simulations and results are averaged. The results for the Net Gini support the previous findings. The three estimates with the highest significance remain significant. Those coefficients that were significant at the 10 percent level loose this significance.

A second robustness check (Table B2) is obtained by applying difference GMM, which also accounts for the persistence of the Gini. Due to high serial correlation we instrument with lags four and above. The same three variables remain significant. Additionally, technology is found to increase the net Gini.

Table B1.

Robustness Checks Using Multiple Monte Carlo Simulations and Difference GMM

article image
*** p<0.01, ** p<0.05, * p<0.1

Appendix C: Regression Results for Labor Share

Table C1.

Drivers of the Labor Share

article image
Driscoll-Kraay robust t-statistics in parentheses. They are robust to very general forms of cross-sectional and temporal dependence. The error structure is assumed to be heteroskedastic, autocorrelated up to two lags, and possibly correlated between the panels (countries).*** p<0.01, ** p<0.05, * p<0.1

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