Abstract
This study integrates the sociological and economic approaches in explaining mobility. Households are hypothesized to be more likely to move when they have experienced some unforeseen change in their short-run equilibrium. Linear probability modelsof mobility are estimated using the Zellner-Lee joint estimation technique for a pooled time-series of data collected on a cross section of 3187 San Francisco households. Households make their residential and workplace mobility decisions interdependently. The probability of residential mobility increases with a change in workplace, family size, and changes in family size and decreases with age and housing market tightness. The probability of workplace mobility increases with a change in residence and labor market tightness, decreases with age, and varies by occupation. The effects of income and education are unclear.
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