127 research outputs found

    Even if it's not Bribery: The Case for Campaign Finance Reform

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    We develop a dynamic multidimensional signaling model of campaign finance in which candidates can signal their ability by enacting policy and/or by raising and spending campaign funds, both of which are costly. Our model departs from the existing literature in that candidates do not exchange policy influence for campaign contributions; rather, they must decide how to allocate their efforts between policymaking and fundraising. If high-ability candidates are better policymakers and better fundraisers, then they will raise and spend campaign funds even if voters care only about legislation. Campaign finance reform alleviates this phenomenon and improves voter welfare at the expense of politicians. Thus, we expect successful politicians to oppose true campaign finance reform. We also show that our model is consistent with findings in the empirical and theoretical campaign finance literature

    Explaining the Favorite-Longshot Bias: Is it Risk-Love or Misperceptions?

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    The favorite–long shot bias describes the long-standing empirical regularity that betting odds provide biased estimates of the probability of a horse winning: long shots are overbet whereas favorites are underbet. Neoclassical explanations of this phenomenon focus on rational gamblers who overbet long shots because of risk-love. The competing behavioral explanations emphasize the role of misperceptions of probabilities. We provide novel empirical tests that can discriminate between these competing theories by assessing whether the models that explain gamblers’ choices in one part of their choice set (betting to win) can also rationalize decisions over a wider choice set, including compound bets in the exacta, quinella, or trifecta pools. Using a new, large-scale data set ideally suited to implement these tests, we find evidence in favor of the view that misperceptions of probability drive the favorite–long shot bias, as suggested by prospect theory

    Explaining the Favorite-Longshot Bias: Is it Risk-Love or Misperceptions?

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    The favorite-longshot bias describes the longstanding empirical regularity that betting odds provide biased estimates of the probability of a horse winning – longshots are overbet, while favorites are underbet. Neoclassical explanations of this phenomenon focus on rational gamblers who overbet longshots due to risk-love. The competing behavioral explanations emphasize the role of misperceptions of probabilities. We provide novel empirical tests that can discriminate between these competing theories by assessing whether the models that explain gamblers' choices in one part of their choice set (betting to win) can also rationalize decisions over a wider choice set, including compound bets in the exacta, quinella or trifecta pools. Using a new, large-scale dataset ideally suited to implement these tests we find evidence in favor of the view that misperceptions of probability drive the favorite-longshot bias, as suggested by Prospect Theory.pricing under risk, probability weighting, compound lotteries, favorite-longshot bias

    Explaining the Favorite-Longshot Bias: Is it Risk-Love or Misperceptions?

    Get PDF
    The favorite-longshot bias describes the longstanding empirical regularity that betting odds provide biased estimates of the probability of a horse winning—longshots are overbet, while favorites are underbet. Neoclassical explanations of this phenomenon focus on rational gamblers who overbet longshots due to risk-love. The competing behavioral explanations emphasize the role of misperceptions of probabilities. We provide novel empirical tests that can discriminate between these competing theories by assessing whether the models that explain gamblers’ choices in one part of their choice set (betting to win) can also rationalize decisions over a wider choice set, including compound bets in the exacta, quinella or trifecta pools. Using a new, large-scale dataset ideally suited to implement these tests we find evidence in favour of the view that misperceptions of probability drive the favorite-longshot bias, as suggested by Prospect Theory.pricing under risk, probability, weighting, compound lotteries, favourite-longshot bias

    A MultiDimensional Signaling Model of Campaign Finance

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    We develop a dynamic multi-dimensional signaling model of campaign finance in which candidates can signal their ability by enacting policy and/or raising and spending campaign funds, both of which are costly. Our model departs from the existing literature in that candidates do not need to exchange policy influence for campaign contributions, rather, they must decide how to allocate their efforts between policymaking and fundraising. If highability candidates are better policymakers and fundraisers then they will raise and spend campaign funds even if voters care only about legislation. Voters’ inability to reward or punish politicians based on past policy allows fundraising to be used to signal quality at the expense of voter welfare. Campaign finance reform alleviates this phenomenon and improves voter welfare at the expense of high-ability politicians. Thus, we expect successful politicians to oppose true campaign finance reform. We also show our model is consistent with findings in the empirical and theoretical campaign finance literature.Campaign Finance, Multi-Dimensional Signaling, Repeated Elections

    Party influence in congress and the economy

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    To understand the extent to which partisan majorities in Congress influence economic policy, we compare financial market responses in recent midterm elections to Presidential elections. We use prediction markets that track election outcomes as a means of precisely timing and calibrating the arrival of news, allowing substantially more precise estimates than a traditional event study methodology. We find that equity values, oil prices, and Treasury yields are slightly higher with Republican majorities in Congress, and that a switch in the majority party in a chamber of Congress has an impact that is only 10%-30% of that of the Presidency. We also find evidence inconsistent with the popular view that divided government is better for equities, finding instead that equity valuations increase monotonically, albeit slightly, with the degree of Republican control

    How Prediction Markets can Save Event Studies

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    Event studies have been used in political science to study the cost of regulation (Schwert, 1981), the value of political connections (Roberts, 1990a; Fisman, 2001), the effect of political parties on defense spending (Roberts, 1990b), the importance of rules in congressional committees (Gilligan and Krehbiel, 1988), the reaction of different interests to trade legislation (Schnietz, 2000), how party control in parliamentary systems affects broad-based stock indices (Herron, 2000), the value of defense contracts (Rogerson, 1989), the effect of the political party of the US President and congressional majorities on particular industry segments (Mattozzi, 2008; Knight, 2006; Herron et al., 1999; Den Hartog and Monroe, 2008; Monroe, 2008; Jayachandran, 2006), and other questions

    Sociotropic Voting and the Media

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    The literature on economic voting notes that voters' subjective evaluations of the overall state of the economy are correlated with vote choice, whereas personal economic experiences are not (Kinder and Kiewiet 1979, 1981). Missing from this literature is a description of how voters acquire information about the general state of the economy and use that information to form perceptions. To begin understanding this process, we asked a series of questions on the 2006 ANES Pilot Study about respondents' perceptions of the average price of gas and the unemployment rate in their home states. In this chapter, we analyze both the determinants and political consequences of respondents' perceptions of these economic variables. Questions about gas prices and unemployment show differences in respondents' sources of information about these two economic variables. We found evidence consistent with the idea that information about unemployment rates comes from media sources, and is biased by partisan factors, and that information about gas prices comes only from everyday experiences. While information about both indicators shows effects from demographics, only estimates of unemployment rates are correlated with a respondent's political outlook. Moreover, perceptions of unemployment rates can be used to isolate the effect of economics on partisan preferences

    Information (In)Efficiency in Prediction Markets

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    We analyze the extent to which simple markets can be used to aggregate dispersed information into efficient forecasts of unknown future events. From the examination of case studies in a variety of financial settings we enumerate and suggest solutions to various pitfalls of these simple markets. Despite the potential problems, we show that market-generated forecasts are typically fairly accurate in a variety of prediction contexts, and that they outperform most moderately sophisticated benchmarks. We also show how conditional contracts can be used to discover the markets belief about correlations between events, and how with further assumptions these correlations can be used to make decisions

    Partisan impacts on the economy: evidence from prediction markets and close elections

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    Political economists interested in discerning the effects of election outcomes on the economy have been hampered by the problem that economic outcomes also influence elections. We sidestep these problems by analyzing movements in economic indicators caused by clearly exogenous changes in expectations about the likely winner during election day. Analyzing high frequency financial fluctuations on November 2 and 3 in 2004, we find that markets anticipated higher equity prices, interest rates, and oil prices and a stronger dollar under a Bush presidency than under Kerry. A similar Republican-Democrat differential was also observed for the 2000 Bush-Gore contest. Prediction market based analyses of all presidential elections since 1880 also reveal a similar pattern of partisan impacts, suggesting that electing a Republican president raises equity valuations by 2-3 percent, and that since Reagan, Republican presidents have tended to raise bond yields.Federal government ; Political science ; Economic policy
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