A model is developed for peasant households in land abundant areas who choose between two technologies for land preparation: a manual one and one using draught animals. For draught a minimum number of animals is required so that a technological non convexity exists. It follows that certain...

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in predicting poverty using alternative objective...

This paper offers a tool box of disaggregative measures of distributional change, including population shares, income shares, quantile mean incomes and relative mean incomes of different income groups. It highlights median-based measures along with quintiles and deciles. It also offers formulas...

The paper discusses the main issues related to negative and zero incomes that are relevant for the measurement of poverty. It shows the prevalence of non-positive incomes in high- and middle-income countries, provides an analysis of the sources and structure of these incomes, outlines the...

The key challenge in making distributional comparisons with ordinal data is the lack of commensurability of the distances between the ordered categories. This chapter provides a critical review of the most recent theoretical developments addressing this challenge and providing methods for...

This paper applies the tool box measures of disaggregative income inequality characterization and the statistical methodology of Beach (2021) to percentile-based distribution statistics such as quintile income shares and decile means typically published by official statistical agencies. It...

This paper provides the tools and procedures for empirically implementing several dominance criteria for social welfare comparisons and broad income inequality comparisons. Dominance criteria are expressed in terms of vectors of quantile ordinates based on income shares or quantile means....

Poverty prediction models are used by economists to address missing data issues in a variety of contexts such as poverty profiling, targeting with proxy-means tests, cross-survey imputations such as poverty mapping, or vulnerability analyses. Based on the models used by this literature, this...

We ask individuals for their reservation price of a specified lotteryand deduce their Arrow-Pratt measure of risk aversion.This allows direct testing of common hypotheses on risk attitudes inthree datasets. We find that risk aversion indeed fallswith income and wealth. Entrepreneurs are less...

We analyze the empirical violation of the Hillman condition, a necessary and sufficient condition for the correspondence between comparative advantage and pre-trade relative prices. Our comprehensive data set allows us to investigate the Hillman condition for virtually all countries of the...