The conditions under which ordinary least squares (OLS) is an unbiased and consistent estimator of the linear probability model (LPM) are unlikely to hold in many instances. Yet the LPM still may be the correct model or a good approximation to the probability generating process. A sequential...

The conditions under which ordinary least squares (OLS) is an unbiased and consistent estimator of the linear probability model (LPM) are unlikely to hold in many instances. Yet the LPM still may be the correct model or a good approximation to the probability generating process. A sequential...

This paper considers estimation of a panel data model with disturbances that are autocorrelated across cross-sectional units. It is assumed that the disturbances are spatially correlated, based on some geographic or economic proximity measure. If the time dimension of the data is large, feasible...

The Family Support Act allows states to reimburse child care costs up to the 75th percentile of local market price for child care. States must carry out surveys to estimate these 75th percentiles. This estimation problem raises two major statistical issues: (1) picking a sample design that will...

Problems with mortgage financing are widely considered to be a major cause of the recent financial meltdown. Several modern programs have been designed to mimic the Home Owners' Loan Corporation of the 1930s. The HOLC replaced the toxic assets on the balance sheets of financial institutions by...

**Revised version 2005** This paper empirically examines the New Deal's impact on local economic activity, as measured by retail sales, during the 1930s. Using a recently-uncovered data set that describes over 30 federal New Deal spending, loan, and mortgage insurance programs across all U.S....

** Revised version 2005** Using a recently-uncovered data set that describes over 30 federal New Deal spending, loan, and mortgage insurance programs across all U.S. counties from 1933 to 1939, this paper empirically examines the New Deal's impact on inter-county migration from 1930 to 1940. We...

This paper considers estimation of a panel data model with disturbances that are autocorrelated across cross-sectional units. It is assumed that the disturbances are spatially correlated, based on some geographic or economic proximity measure. If the time dimension of the data is large, feasible...