This paper analyzes the implications of heterogeneity in price setting for both price and inflation inertia. Standard models based on Taylor- or Calvo-style price setting usually assume ex-ante identical firms, while Calvo's approach implies only ex-post heterogeneity. While it is known that...

The purpose of this paper is to examine whether the stock wealth effect of consumption exhibits structural change(s) or behaves asymmetrically over business cycles. We first perform a general test of linearity for the behavior of aggregate consumption in response to changes in stock wealth based...

Empirical studies of economic growth across countries are abundant and rich in conclusions, some of them widely accepted. This is not the case, however, with the empirics of business cycles. Particularly, there exists little evidence explaining why some countries take more time than others...

In this paper we use optimal-instrument and new finite-sample methods to test the empirical relevance of the New Keynesian Phillips curve (NKPC) equation. Unlike generalized method of moments-based methods, these generalized Anderson-Rubin tests are immune to the presence of weak instruments,...

We investigate the extent to which firm-level data are consistent with the microeconomic foundations of the benchmark financial accelerator model of Bernanke, Gertler, and Gilchrist (1999). To that purpose, we construct a new dataset that directly links firm-specific balance sheet variables to...

In this paper, we propose the use of bootstrapping methods to obtain correct critical values for dating breaks. Following the procedure proposed in Banerjee, Lazarova and Urga (1998), we consider the case of estimating a system with two or more marginal processes and a conditional process....

This paper considers the nonlinear regression with integrated regressors that are contemporaneously correlated with the regression error. We, in particular, establish the consistency and derive the limiting distribution of the nonlinear least squares estimator under such endogeneity for the...

This paper analyzes conditions under which various k-class estimators are asymptotically normal in a simultaneous equations framework with many weak instruments. In particular, our paper extends the many instruments asymptotic normality results obtained by Morimune (1983), Bekker (1994), Angrist...

We consider a semiparametric log periodogram regression estimation of memory parameter $d$ for non-stationary fractional time series using wavelet transformation. We propose wavelet-based log periodogram regression estimator, and obtain the asymptotic mean squared error, consistency and...

This paper develops a dynamic stochastic model to examine the joint patent application and renewal behavior under an international patent protection regime. This framework makes it possible to utilize both the cross-sectional (multi-country filing) and the time-series (patent renewal) dimensions...