We test for whether, once "basic needs" are satisfied, there is happiness adaptation to further gains in income using three data sets. Individual German Panel Data from 1985-2000, and data on the well-being of over 600,000 people in a panel of European countries from 1975-2002, shows different...

A general equilibrium model featuring multiple realistic sources of financial frictions is developed to study how different constraints interact in equilibrium. We highlight, distinguish, and evaluate their differential impacts and rich interactions. The economic impact of financial inclusion...

We use unique data from 600 Indonesian communities on what individuals know about the poverty status of others to study how network structure influences information aggregation. We develop a model of semi-Bayesian learning on networks, which we structurally estimate using within-village data....

What is the pathway to development in a world with less international integration? We answer this question within a model that emphasizes the role of demand-side constraints on national development, which we identify with sustained poverty reduction. In this framework, development is linked to...

Sweden has a remarkable record in reducing inequality and virtually eliminating poverty. This paper shows that: 1) Sweden achieved its egalitarian income distribution and eliminated poverty largely because of its system of earnings and income determination, not because of the homogeneity of the...

Standard measures of poverty may reveal nothing about whether the poorest of the poor are being lifted-up or left-behind, yet this is a widespread concern among policy makers and citizens. The paper assesses whether public spending on social protection benefits the poorest and hence lifts the...

In the new millennium, the Western aid effort towards Africa has surged due to writings by well-known economists, a celebrity mass advocacy campaign, and decisions by Western leaders to make Africa a major foreign policy priority. This survey contrasts the predominant "transformational" approach...

Big data on job-vacancy postings reveal several dimensions of the impact of COVID-19 on the U.S. job market. Firms have cut back on postings for high-skill jobs more than for low-skill jobs, with small firms nearly halting their new hiring altogether. New-hiring cuts and downskilling are most...

This paper presents a semiparametric procedure to analyze the effects of institutional and labor market factors on recent changes in the U.S. distribution of wages. The effects of these factors are estimated by applying kernel density methods to appropriately 'reweighted' samples. The procedure...