We investigate how the number and size of local political jurisdictions in an area is determined. Our model focuses on the tradeoff between the benefits of economies of scale and the costs of a heterogeneous population. We consider heterogeneity in income, race, ethnicity, and religion, and we...

It is often argued that tax competition may lead to a "race to the bottom". Such a race may hold indeed in the case of the pure case of factor mobility (such as capital mobility). However, in this paper we emphasize the unique feature of labor migration, that may nullify the "race to the bottom"...

We present a model where heterogeneous districts choose both whether to experiment and the policies to experiment with. Since districts learn from each other, the first-best requires that policy experiments converge so that innovations are useful also for neighbors. However, the equilibrium...

An important element in considering school finance policies is that households are not passive. Instead they respond to policies with a combination of modified residential choice and political choice of tax levels. The highly stylized decision models of most existing analyses, however, lead to...

This paper studies how to design a fiscal constitution that, by capitalizing intergenerational spillovers into land values, is able to protect future generations from expropriation and to generate optimal investment in intergenerational public goods. In particular, we study how to accomplish...

Empirical evidence suggesting that a considerable amount of horizontal strategic interaction exists amongst governments is important in light of recent devolutionary trends of many important public programs. The empirical approach in these studies typically relies on estimating reaction...

While the Sharpe ratio is still the dominant measure for ranking risky assets, a substantial effort has been made over the past three decades to find a way to account for non-Normally distributed risks. This paper derives a generalized ranking measure which, under a regularity condition,...

We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables empirically contribute to the resulting rank, and population and spatial correlation are incorporated into a measure of uncertainty. We use county-level data from Texas and Wisconsin...

Rankings have become increasingly popular on various markets, e.g. the market for study programs. We analyze their welfare implications. Consumers have to choose between two goods of unknown quality with exogenous presence or absence of an unbiased informative ranking. The existence of the...