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Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research
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This paper exploits the history of Reconstruction after the American Civil War to estimate the causal effect of politician race on public finance. I overcome the endogeneity between electoral preferences and black representation using the number of free blacks in the antebellum era (1860) as an instrument for black political leaders during Reconstruction. IV estimates show that an additional black official increased per capita county tax revenue by $0.20, more than an hour's wage at the time. The effect was not persistent, however, disappearing entirely at Reconstruction's end. Consistent with the stated policy objectives of black officials, I find positive effects of black politicians on land tenancy and show that exposure to black politicians decreased the black-white literacy gap by more than 7%. These results suggest that politician race has large effects on public finance and individual outcomes over and above electoral preferences for redistribution.
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Year: 2005 Publisher: Cambridge, Mass. NBER
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Year: 2007 Publisher: Cambridge, Mass. NBER
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Year: 2008 Publisher: Cambridge, Mass. NBER
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Year: 2008 Publisher: Cambridge, Mass. NBER
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Year: 2008 Publisher: Cambridge, Mass. NBER
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ISBN: 9781316423899 9781107128736 9781107569577 Year: 2017 Publisher: New York Cambridge University Press
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Year: 2012 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Laboratory experiments have established the existence of cognitive biases, but their explanatory power in real-world economic settings has been difficult to measure. We estimate the extent of a cognitive bias, confirmatory bias, among experts in a real-world environment. In the Associated Press Top 25 College Football Poll expert pollsters are tasked with assessing team quality, and their beliefs are treated week-to-week with game results that serve as signals about an individual team's quality. We exploit the variation provided by actual game results relative to market expectations to develop a novel regression-discontinuity approach to identify confirmatory bias in this real-world setting. We construct a unique personally-assembled dataset that matches more than twenty years of individual game characteristics to poll results and betting market information, and show that teams that slightly exceed and barely miss market expectations are exchangeable. The likelihood of winning the game, the average number of points scored by teams and their opponents, and even the average week of the season are no different between teams that slightly exceed and barely miss market expectations. Pollsters, however, significantly upgrade their beliefs about a team's quality when a team slightly exceeds market expectations. The effects are sizeable-- nearly half of the voters in the poll rank a team one slot higher when they slightly exceed market expectations; one-fifth of the standard deviation in poll points in a given week can be attributed to confirmatory bias. This type of updating suggests that even when informed agents make repeated decisions they may act in a manner which is consistent with confirmatory bias.
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