Many questions in economics involve long-run or trend variation and covariation in time series. Yet, time series of typical lengths contain only limited information about this long-run variation. This paper suggests that long-run sample information can be isolated using a small number of...

The main econometric issue in testing the Lucas hypothesis (1973) in a times series context is the estimation of the variance conditional on past information. The ARCH model, proposed by Engle (1982), is one way of specifying the conditional variance. But the assumption underlying the ARCH...

In many time series models, an infinite number of moments can be used for estimation in a large sample. I supply a technically undemanding proof of a condition for optimal instrumental variables use of such moments in a parametric model. I also illustrate application of the condition in...

Recently there has been a great deal of interest in studying monetary policy under model uncertainty. We point out that different assumptions about the uncertainty may result in drastically different robust' policy recommendations. Therefore, we develop new methods to analyze uncertainty about...

This paper develops and compares nonnested hypothesis tests for linear regression models with first-order serially correlated errors. It extends the nonnested testing procedures of Pesaran, Fisher and McAleer, and Davidson and MacKinnon, and compares their performance on four conventional models...

This paper builds on this earlier work by deriving the asymptotic distribution of the measurement error. This allows us to approximate the measurement accuracy of ARCH conditional variance estimates and compare the efficiency achieved by different ARCH models. We are also able to characterize...

While it is by now well known that the privatization of township- and village-run enterprises (TVREs) has been rapidly and widely taking place in China, it is much less known whether and to what extent privatization has improved resource allocation and productivity. As a first step toward the...

The new trade theory emphasizes the role of market-share reallocations across firms ("stealing") in driving productivity growth, while the older literature focused on average productivity improvements ("learning"). We use comprehensive, firm-level data from India's organized manufacturing sector...

We build up from the plant level an "aggregate(d)" Solow residual by estimating every U.S. manufacturing plant's contribution to the change in aggregate final demand between 1976 and 1996. Our framework uses the Petrin and Levinsohn (2010) definition of aggregate productivity growth, which...

We develop a dynamic multi-country general equilibrium model to investigate forces acting on the global economy during the Great Recession and ensuing recovery. Our multi-sector framework accounts completely for countries' trade, investment, production, and GDPs in terms of different sets of...