No abstract

Many variables have been proposed by past studies as significant determinants of corruption. This paper asks if their estimated impact on corruption is robust to alteration of the information set. A "Global Sensitivity Analysis", based on the Leamer's Extreme-Bounds Analysis gives a clear answer: five variables are robustly related to corruption. Corruption is lower in richer countries, where democratic institutions have been preserved for a long continuous period, and the population is mainly Protestant. Corruption is instead higher where political instability is a major problem. Finally, a country's colonial heritage appears to be a significant determinant of present corruption.JEL Classification: D72, D73, H11

Corruption, Economic experiment, Social preferences, D73, C91, Z13,

Many variables have been proposed by past studies as significant determinants of corruption. This paper asks if their estimated impact on corruption is robust to alteration of the information set. A “Global Sensitivity Analysis”, based on the Leamer's Extreme-Bounds Analysis gives a clear answer: five variables are robustly related to corruption. Corruption is lower in richer countries, where democratic institutions have been preserved for a long continuous period, and the population is mainly Protestant. Corruption is instead higher where political instability is a major problem. Finally, a country's colonial heritage appears to be a significant determinant of present corruption. Copyright Springer Science + Business Media, Inc. 2006

We conducted a field experiment aimed at increasing the percentage of women majoring in economics. We exposed students enrolled in introductory classes to successful and charismatic women who majored in economics at the same university. The intervention significantly impacted female students’ enrollment in further economics classes, increasing their likelihood to major in economics by 8 percentage points. This is a large effect, given that only 9 percent of women were majoring in economics at baseline. Since the impacted women were previously planning to major in lower-earning fields, our low-cost intervention may have a positive effect on their future incomes. (JEL A22, C93, I23, I26, J16)