New-Keynesian models are characterized by the presence of expectations as explanatory variables. To use these models for policy evaluation, the econometrician must estimate the parameters of expectation terms. Standard estimation methods have several drawbacks, including possible lack of...

This paper develops a method to analyse large cross-sections with non-trivial time dimensions. The method: (i) identifies the number of common shocks in a factor analytic model; (ii) estimates the unobserved common dynamic component; (iii) shows how to test for fundamentality of the common...

This Paper reviews recent econometric work on factor models in large cross-sections of time series. In this literature, traditional factor analysis is adapted to develop parsimonious estimation methods for high dimension time series models. The review covers problems of consistency and rates –...

We study the role of domestic and global factors on payoffs of portfolios built to mimic carry, dollar carry and momentum strategies. We construct domestic and global factors from a large dataset of macroeconomic and financial variables and find that global equity market factors render strong...

This paper analyses output and productivity for 450 US industries from 1958 to 1986. We make the following contributions. (i) We develop a method based on dynamic principal components to identify the number of common shocks to our data set. (ii) We propose a simple method for the estimation of...

The effects of Regional Trade Agreements (RTAs) are disputed. In this paper, we assess these effects using capital market data and an event-study approach, using a daily data set covering a thousand announcements spanning over eighty economies and a hundred RTAs over twenty recent years. We...

I examine the hypothesis that membership in the World Trade Organization (WTO) and its predecessor the General Agreement on Tariffs and Trade (GATT) has increased the stability and predictability of trade flows. I use a large dataset covering annual bilateral trade flows between over 175...