We estimate a linear approximation of the market potential function for Europe as derived in geography and trade models. Using a spatial econometric estimation approach, border effects are identified by a differential impact of other regions purchasing power, depending on whether two regions are...

Recently, there has been a growing interest in newly developed econometric tools to conduct counterfactual analysis when a treated unit experiences a policy intervention, and an artificial control group has to be constructed. Adopting novel penalized synthetic control methods, we quantify the...

Recently, there has been a growing interest in newly developed econometric tools to conduct counterfactual analysis when a treated unit experiences a policy intervention, and an artificial control group has to be constructed. Adopting novel penalized synthetic control methods, we quantify the...

This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional dependence due to spatial lags and due to unspecified common shocks. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices,...

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 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...

We show that the creation of the first integrated pan-European transport network during Roman times influences economic integration over two millennia. Drawing on spatially highly disaggregated data on excavated Roman ceramics, we document that interregional trade was strongly influenced by...

We propose and apply a new theory-consistent algorithm, which uses disaggregated inter-city trade data to identify a pyramidic city system with central places and associated hinterlands. Because central places possess more industries than the cities in their hinterlands, and because industries,...

We empirically examine how import competition affects sentiment toward China in local communities in the United States using a news-based index for sentiment. Results are threefold. First, U.S. sentiment toward China peaked in 2007 before turning negative. Second, communities more exposed to...

International trade is dominated by a small number of very large firms. Models of trade with heterogeneous firms have been developed to study the causes and consequences of this observation. The canonical model of trade with heterogeneous firms shows that trade leads to between-firm...