Dynamic Equilibrium Selection: A General Uniqueness Result

This paper shows that in a dynamic context, under weak assumptions, the presence of payoff shocks can shrink the equilibrium set to a singleton. We study a model with a continuum of fully rational agents who switch between two actions or states over time (e.g., working in different sectors, employment vs. unemployment, etc.). An agent's incentive to pick a given action is greater if others do the same. Agents receive chances to change actions at random times and may influence the rate at which these chances arrive. Payoff shocks may follow any of a large class of stochastic processes that includes both seasonal and mean-reverting processes. In this general setting, payoff shocks give rise to a unique equilibrium. One implication is that the introduction of aggregate shocks leads to a unique equilibrium in two well-known macroeconomic search models with multiple equilibria (Diamond and Fudenberg, Howitt and McAfee).

Adaptive Expectations and Stock Market Crashes

A theory is developed that explains how the stock market can crash in the absence of news about fundamentals, and why crashes are more common than frenzies. A crash occurs via the interaction of rational and naive investors. Naive traders believe in a simple (but reasonable) statistical model of stock prices: that prices follow a random walk with serially correlated volatility. They predict future volatility adaptively, as a weighted average of past squared price changes. In a crash, the naive traders lower their demand in response to the apparent increase in volatility. This lowers the risk bearing capacity of the market, so that the lower crash price clears the market. Unlike other explanations of market crashes, this mechanism is fundamentally asymmetric: the stock price cannot rise sharply, so frenzies or bubbles cannot occur.Stock market crashes; adaptive expectations; volatility feedback; excess volatility

Adaptive Expectations and Stock Market Crashes

A theory is developed that explains how stocks can crash without fundamental news and why crashes are more common than frenzies. A crash occurs via the interaction of rational and naive investors. Naive traders believe that prices follow a random walk with serially correlated volatility. Their expectations of future volatility are formed adaptively. When the market crashes, naive traders sell stock in response to the apparent increase in volatility. Since rational traders are risk averse as well, a lower price is needed to clear the market: the crash is a self-fulfilling prophecy. Frenzies cannot occur in this model.

Measuring Segregation

We propose a set of axioms for the measurement of school-based segregation with any number of ethnic groups. These axioms are motivated by two criteria. The first is evenness: how much do ethnic groups’ distributions across schools differ? The second is representativeness: how different are schools’ ethnic distributions from one another? We prove that a unique ordering satisfies our axioms. It is represented by an index that was originally proposed by Henri Theil (1971). This “Mutual Information Index” is related to Theil’s better known Entropy Index, which violates two of our axioms.Segregation; measurement; schools; education; indices; peer effects; equal opportunity

Measuring School Segregation

Using only ordinal axioms, we characterize several multigroup school segregation indices:� the Atkinson Indices for the class of school districts with a given fixed number of ethnic groups and the Mutual Information Index for the class of all districts.� Properties of other school segregation indices are also discussed.� In an empirical application, we document a weakening of the effect of ethnicity on school assignment from 1987/8 to 2007/8.� We also show that segregation between districts within cities currently accounts for 33% of total segregation.� Segregation between states, driven mainly by the distinct residental patterns of Hispanics, contributes another 32%.Segregation; measurement; indices

MEASURING SEGREGATION

We propose a set of axioms for the measurement of school-based segregation with any number of ethnic groups. These axioms are motivated by two criteria. The first is evenness: how much do ethnic groups’ distributions across schools differ? The second is representativeness: how different are schools’ ethnic distributions from one another? We prove that a unique ordering satisfies our axioms. It is represented by an index that was originally proposed by Henri Theil (1971). This “Mutual Information Index” is related to Theil’s better known Entropy Index, which violates two of our axioms.Segregation, indices, measurement, peer effects, schools, education, equal opportunity.