We study how a demand shock in an export market propagates to the exporting country's banking system. Using the dual shocks of sanctions and falling oil prices suffered by Russia in 2014, we investigate the effects on Italian firms and banks more exposed to the Russian market. This event implied...

We review theoretical and empirical work on the economic effects of the United States and China trade relations during the last decades. We first discuss the origins of the China shock, its measurement, and present methods used to study its economic effects on different outcomes. We then focus...

We characterize sabotage, exemplified by recent U.S. policies concerning China's semiconductor industry, as trade policy. For some (but not all) goods, completely destroying foreigners' productivity increases domestic real income by shifting the location of production and improving the terms of...

We construct a model of offshoring with externalities and firm heterogeneity. Due to the presence of externalities, temporary shocks like the Y2K problem can have permanent effects, i.e., they can permanently raise the extent of offshoring in an industry. Also, the initial advantage of a country...

Intense US-China commercial rivalry is quantified in this paper with novel non-parametric relative resistance sufficient statistics. The accounting method minimizes the demand specification error variance in revealed resistances. China's manufacturing seller incidence falls (seller price rises)...

We develop a dynamic spatial growth model to explore the role of trade and internal migration in the process of spatial development and aggregate growth. Growth is shaped by the best global and local ideas that contribute to the local stock of knowledge. Global ideas diffuse more to locations...

We provide sufficient statistics for nominal and real wage exposure to productivity shocks in a constant elasticity economic geography model. These exposure measures summarize the first-order general equilibrium elasticity of nominal and real wages in each location with respect to productivity...

Consider a bipartite network where <i>N</i> consumers choose to buy or not to buy <i>M</i> different products. This paper considers the properties of the logistic regression of the <i>N</i> × <i>M</i> array of "i-buys-j" purchase decisions, <i>[Y_ij]_{1≤i≤N,≤j≤M}</i>, onto known functions of consumer and product attributes...