Labor market informality is a pervasive feature of most developing economies. Motivated by the empirical regularity that the labor informality rate falls with GDP per capita, both at business cycle frequency and in a cross-section of countries, and that the Okun's coefficient falls with the...

We explore the long-term impact of economic booms on labor market outcomes using a novel approach based on revisions to professional forecasts over the past 30 years for 34 advanced economies. We find that when employment rises unexpectedly, forecasters typically raise their long-term forecasts...

We combine a structural model with cross-sectional micro data to identify the causes and consequences of rising concentration in the US economy. Using asset prices and industry data, we estimate realized and anticipated shocks that drive entry and concentration. We validate our approach by...

We study the robustness of the Lerner symmetry result in an open economy New Keynesian model with price rigidities. While the Lerner symmetry result of no real effects of a combined import tariff and export subsidy holds up approximately for a number of alternative assumptions, we obtain...

As of 2015, U.S. log output per capita was 12 percent below what its pre-2008 linear trend would predict. To understand why, I develop and estimate a model of the US with demographics, real and monetary shocks, and the occasionally binding ZLB on nominal rates. Demographic changes generate...

The structural model in this paper proposes a micro-founded framework that incorporates an active banking sector with an oil-producing sector. The primary goal of adding a banking sector is to examine the role of an interbank market on shocks, introduce a national development fund and study its...

This paper develops a new empirical framework for analyzing the dynamics of the trade balance in response to different types of macroeconomic shocks. The model provides a synthetic perspective on the conditional correlations between the business cycle and the trade balance that are generated by...

This paper identifies turning points for the U.S. business cycle using different time series. The model, a multivariate Markov-Swiching model, assumes that each series is characterized by a mixture of two normal distributions (a high and low mean) with switching determined by a common Markov...