Using a maximum entropy technique, the authors estimate the market shares of each firm in an industry using the available government summary statistics such as the four-firm concentration ratio and the Herfindahl-Hirschmann Index. They show that their technique is very effective in estimating...

Given the objective of estimating the unknown parameters of a possibly nonlinear dynamic model using a finite (and relatively small) data set, it is common to use a Kalman filter Maximum Likelihood (ML) approach, ML-type estimators or more recently a GMM (Imbens, Spady and Johnson, 1998), BMOM...

Given aggregated data, a framework for estimating the entries of a social accounting matrix (SAM), or any large matrix of expenditures, trade or income flows, is developed. Under this framework it is possible to evaluate the contribution of structural and supply-side information, as well as...

This paper uses an integrated employer-employee data-set to answer two key questions: (i) What is the equilibrium amount of worker reallocation? (ii) How much does firm-level job reallocation affect worker reallocation? About 26% of workers who had previously exhibited a substantial degree of...