We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic discrete choice models. We construct and estimate a simplified dynamic structural model of education that captures some basic features of educational choices in the United States in...

This paper explores the existence and importance of financing constraints for R&D investments in large EU and US manufacturing companies over the 2000-2007 period. The main results obtained by estimating error-correction equations suggest that the sensitivity of R&D investments to cash flow...

This paper builds on the work of Acemoglu et al. (2012) and considers a production network with unobserved common technological factor and establishes general conditions under which the network structure contributes to aggregate fluctuations. It introduces the notions of strongly and weakly...

This paper presents Monte Carlo simulations which compare the empirical performance of two alternative single equation estimators of the equilibrium parameters in a dynamic relationship. The estimators considered are Stock and Watson's dynamic ordinary least squares (DOLS) estimator and Bewley's...