Suchergebnisse

This paper shows that social capital increases economic growth by raising government investment in human capital. We present a model of stochastic endogenous growth with imperfect political agency. Only some people correctly anticipate the future returns to current spending on public education. Greater social diffusion of information makes this knowledge more widespread among voters. As a result, we find it alleviates myopic political incentives to underinvest in human capital, and it helps the selection of politicians that ensure high productivity in public education. Through this mechanism, we show that social capital raises the equilibrium growth rate of output and reduces its volatility. We provide evidence consistent with the predictions of our model. Individuals with higher social capital are more informed about their government. Countries with higher social capital spend a higher share of output on public education.

Psychologists have long documented that we over-attribute people's actions to innate characteristics, rather than to luck or circumstances. Similarly, economists have found that both politicians and businessmen are rewarded for luck. In this paper, we introduce this "Fundamental Attribution Error" into two benchmark political economy models. In both models, voter irrationality can improve politicians' behavior, because voters attribute good behavior to fixed attributes that merit reelection. This upside or irrationality is countered by suboptimal leader selection, including electing leaders who emphasize objectives that are beyond their control. The error has particularly adverse consequences for institutional choice, where it generates too little demand for a free press, too much demand for dictatorship, and responding to endemic corruption by electing new supposedly honest leaders, instead of investing in institutional reform.

Will politics lead to over-building or under-building of transportation projects? In this paper, we develop a model of infrastructure policy in which politicians overdo things that have hidden costs and underperform tasks whose costs voters readily perceive. Consequently, national funding of transportation leads to overspending, since voters more readily perceive the upside of new projects than the future taxes that will be paid for distant highways. Yet when local voters are well-informed, the highly salient nuisances of local construction, including land taking and noise, lead to under-building. This framework explains the decline of urban mega-projects in the US (Altshuler and Luberoff, 2003) as the result of increasingly educated and organized urban voters. Our framework also predicts more per capita transportation spending in low-density and less educated areas, which seems to be empirically correct. ; We acknowledge financial support from the Taubman Center for State and Local Government, the European Research Council under the European Union's Horizon 2020 research and innovation program (grant agreement n. 714905), the Spanish Ministry of Economy and Competitiveness (grants RYC-2013-13838 and SEV-2015-0563), and the Government of Catalonia (CERCA program and grant 2014 SGR 830).

Will politics lead to over-building or under-building of transportation projects? In this paper, we develop a model of infrastructure policy in which politicians overdo things that have hidden costs and underperform tasks whose costs voters readily perceive. Consequently, national funding of transportation leads to overspending, since voters more readily perceive the upside of new projects than the future taxes that will be paid for distant highways. Yet when local voters are well-informed, the highly salient nuisances of local construction, including land taking and noise, lead to under-building.This framework explains the decline of urban mega-projects in the US (Altshuler and Luberoff 2003) as the result of increasingly educated and organized urban voters. Our framework also predicts more per capita transportation spending in low-density and less educated areas, which seems to be empirically correct.