Recent empirical evidence shows that most international prices are sticky in dollars. This paper studies the optimal policy implications of this fact in the context of an open economy model, allowing for an arbitrary structure of asset markets, general preferences and technologies, time-or...

Trade costs are crucial in new economic geography (NEG) models. The unavailability of actual trade costs data requires the approximation of trade costs. Most NEG studies do not deal with the ramifications of the particular trade costs specification used. This paper shows that the specification...

In this paper, we investigate the impact of trade and financial liberalization on the degree of stock market co-movement among emerging economies. Using a sample of 25 developing countries observed over 15 years, we estimate the impact of reforms which aim at opening these countries to trade and...

The financial crisis of 2007-2008 had major implications for the foreign exchange market. We review events and implications for exchange rates, volatility, returns to currency investing, and transaction costs. This blow-by-blow" narrative is intended to be a resource for researchers seeking a...

We examine the formation of multilateral, hub-and-spoke and bilateral international R&D strategic alliances (overlapping climate clubs) to reduce CO2 emissions. R&D provision in clubs produces two types of positive externalities: a global public good (i.e., reduction of CO2 emissions) and...

This study exploits the confiscation and auctioning off of Church property that occurred during the French Revolution to assess the role played by transaction costs in delaying the reallocation of property rights in the aftermath of fundamental institutional reform. French districts with a...

This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...

This paper considers the problem of identification, estimation and inference in the case of spatial panel data models with heterogeneous spatial lag coefficients, with and without (weakly) exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation...

Multicollinearity, especially in combination with errors-in-variables, can increase the likelihood of a Type-I error by inflating the value of the estimated coefficients by more than it magnifies their standard errors, thereby increasing the likelihood of obtaining statistically significant...