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...

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...

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...

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...

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...

With panel data important issues can be resolved that can not beaddressed with cross--sectional data. A major drawback is that paneldata suffer from more severe missing data problems. Adding a sampleconsisting of new units randomly drawn from the original populationas replacements for units who...

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...

Detecting heterogeneity within a population is crucial in many economic and financial applications. Econometrically, this requires a credible determination of multimodality in a given data distribution. We propose a straightforward yet effective technique for mode inference in discrete data...

We develop a novel argument why better public information can help countries to insure against idiosyncratic risk. Representative agents of developing and industrial countries receive public and private signals on their future income realization and engage in risk-sharing contracts with limited...