Tiebout Choice and the Voucher

This paper examines who is likely to gain and who is likely to lose under a universal voucher program. Following Epple and Romano (1998, 2003), and Nechyba (2000, 2003a), we focus on the idea that gains and losses under a universal voucher depend on two effects: changes in peer group composition and changes in housing values. We show that the direction and magnitude of each of these effects hinges critically on market structure, i.e., the amount of school choice that already exists in the public sector. In markets with little or no Tiebout choice, potential changes in peer group composition create an incentive for high-socioeconomic (SES) households to vote for the voucher and for low-SES households to vote against voucher. In contrast, in markets with significant Tiebout choice, potential changes in housing values create an incentive for high-SES households to vote against the voucher and for low-SES households to vote for the voucher. Using data on vote outcomes from California's 2000 voucher initiative, we find evidence consistent with those predictions.

Bank Performance: Market Power or Efficient Structure?

Regulatory change not seen since the Great Depression swept the U.S. banking industry beginning in the early 1980s, culminating with the Interstate Banking and Branching Efficiency Act of 1994. Significant consolidations have occurred in the banking industry. This paper considers the market-power versus the efficient-structure theories of the positive correlation between banking concentration and performance on a state-by-state basis. Temporal causality tests imply that bank concentration leads bank profitability, supporting the market-power, rather than the efficient-structure, theory of that positive correlation. Our finding suggests that bank regulators, by focusing on local banking markets, missed the initial stages of an important structural change at the state level.

Preference Structure and Random Paths to Stability in Matching Markets

This paper examines how preference correlation and intercorrelation combine to influence the length of a decentralized matching market's path to stability. In simulated experiments, marriage markets with various preference specifications begin at an arbitrary matching of couples and proceed toward stability via the random mechanism proposed by Roth and Vande Vate (1990). The results of these experiments reveal that fundamental preference characteristics are critical in predicting how long the market will take to reach a stable matching. In particular, intercorrelation and correlation are shown to have an exponential impact on the number of blocking pairs that must be randomly satisfied before stability is attained. The magnitude of the impact is dramatically different, however, depending on whether preferences are positively or negatively intercorrelated.