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
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)
Economists have traditionally assumed that individual behavior is motivated exclusively by extrinsic incentives. Social psychologists, in contrast, stress that intrinsic motivations are also important. In recent work, economic theorists have started to build psychological factors, like intrinsic motivations, into their models. Besley and Ghatak (2005) propose that individuals are differently motivated in that they have different "missions," and their self-selection into sectors or organizations with matching missions enhances organizational efficiency. We test Besley and Ghatak's model using data from a unique cohort study. We generate two proxies for intrinsic motivations: a survey-based measure of the health professionals philanthropic motivations and an experimental measure of their pro-social motivations. We find that both proxies predict health professionals' decision to work in the non-profit sector. We also find that philanthropic health workers employed in the non-profit sector earn lower wages than their colleagues.
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