Bottom Incomes and the Measurement of Poverty and Inequality

Author:

Hlasny Vladimir1,Ceriani Lidia2,Verme Paolo3

Affiliation:

1. Ewha Womans University

2. Georgetown University

3. The World Bank

Publisher

Wiley

Subject

Economics and Econometrics

Reference34 articles.

1. Machine Learning Methods That Economists Should Know About

2. Top Incomes in the Long Run of History;Atkinson A. B.;Journal of Economic Literature,2011

3. Alternative Approaches to Evaluation in Empirical Microeconomics;Blundell R.;Journal of Human Resources,2009

4. Random Forests;Breiman L.;Machine Learning,2001

5. Why are Households that Report the Lowest Incomes So Well‐Off?;Brewer M.;The Economic Journal,2017

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3. Climate change and the nonlinear impact of precipitation anomalies on income inequality;Proceedings of the National Academy of Sciences;2022-10-17

4. Polish inequality statistics reconsidered: are the poor really that poor?;Statistics in Transition New Series;2022-09-01

5. The Impact of Top Incomes Biases on the Measurement of Inequality in the United States;Oxford Bulletin of Economics and Statistics;2021-12-07

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