We examine how structural reforms relate to income inequality. We employ many indicators of structural reforms and use data for market and net income inequality. The dataset includes up to 135 countries since 1960. The results do not suggest that market-oriented structural reforms were...

We examine how trade openness influences income inequality within countries. The sample includes 139 countries over the period 1970-2014. We employ predicted openness as instrument to deal with the endogeneity of trade openness. The effect of trade openness on income inequality differs across...

This paper re-examines the link between globalization and income inequality. We use data for 140 countries over the period 1970-2014 and employ an IV approach to deal with the endogeneity of globalization measures. We find that the link between globalization and income inequality differs across...

We examine how structural reforms relate to income inequality. We employ many indicators of structural reforms and use data for market and net income inequality. The dataset includes up to 135 countries since 1960. The results do not suggest that market-oriented structural reforms were...

We examine how trade openness influences income inequality within countries. The sample includes 139 countries over the period 1970-2014. We employ predicted openness as instrument to deal with the endogeneity of trade openness. The effect of trade openness on income inequality differs across...

We introduce DOSE - Dynamically Optimized Sequential Experimentation - and use it to estimate individual-level loss aversion in a representative sample of the U.S. population (N = 2,000). DOSE elicitations are more accurate, more stable across time, and faster to administer than standard...

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N = 3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...

We introduce DOSE - Dynamically Optimized Sequential Experimentation - and use it to estimate individual-level loss aversion in a representative sample of the U.S. population (N = 2;000). DOSE elicitations are more accurate, more stable across time, and faster to administer than standard methods....

We measure individual-level loss aversion using three incentivized, representative surveys of the U.S. population (combined N = 3,000). We find that around 50% of the U.S. population is loss tolerant, with many participants accepting negative-expected-value gambles. This is counter to earlier...

We introduce DOSE⸻Dynamically Optimized Sequential Experimentation⸻to elicit preference parameters. DOSE starts with a model of preferences and a prior over the parameters of that model, then dynamically chooses a customized question sequence for each participant according to an...