This paper considers nonparametric identification of nonlinear dynamic models for panel data with unobserved voariates. Including such unobserved covariates may control for both the individual-specific unobserved heterogeneity and the endogeneity of the explanatory variables. Without specifying...

Many studies use matched employer-employee data to estimate a statistical model of earnings determination where log-earnings are expressed as the sum of worker effects, firm effects, covariates, and idiosyncratic error terms. Estimates based on this model have produced two influential yet...

Often, the moment of a treatment and the moment at which the outcome of interest occurs are realizations of stochastic processes with dependent unobserved determinants. Notably, both treatment and outcome are characterized by the moment they occur. We compare different methods of inference of...

In this paper we survey methods to control for regression model error that is correlated within groups or clusters, but is uncorrelated across groups or clusters. Then failure to control for the clustering can lead to understatement of standard errors and overstatement of statistical...

In this paper we survey methods to control for regression model error that is correlated within groups or clusters, but is uncorrelated across groups or clusters. Then failure to control for the clustering can lead to understatement of standard errors and overstatement of statistical...

This study shows that the presence of imperfect competition in the banking system propagates external shocks and amplifies the business cycle. Strategic limit pricing, aimed at protecting retail niches from potential competitors, generates countercyclical bank markups. Markup increments during...

Using data on border enforcement and macroeconomic indicators from the United States and Mexico, we estimate a two-country business cycle model of labor migration and remittances. The model matches the cyclical dynamics of unskilled migration and documents the insurance role of remittances in...

We study how total factor productivity (TFP), energy prices, and the Great Moderation are linked. First we estimate a joint stochastic process for the energy price and TFP and establish that until the second quarter of 1982, energy prices negatively affected productivity. This spillover has...

The purpose of this paper is to advance in the construction and calibration/estimation of an intermediate DSGE model with two policy rules for Argentina and explore to what extent two policy rules can be better than one. The BCRA´s research department currently uses a very small and non-micro...

Dynamic and Stochastic General Equilibrium (DSGE) models have become a frequent choice of modeling methodology for complex dynamic and stochastic phenomena in different branches of economics. They are increasingly used by decision-makers to analyze various policy decisions or to generate...