We develop a dynamic spatial model in which heterogeneous workers are imperfectly mobile and forward-looking and yet all structural fundamentals can be inverted without assuming that the economy is in a stationary spatial equilibrium. Exploiting this novel feature of the model, we show that the...

Service inputs are a key component of the costs of exporting, and contribute to explain the process of internationalization of firms. A new dataset on the participation of French firms in global value chains reveals that firms with longer export experience in a market are more likely to source...

Oil market VAR models have become the standard tool for understanding the evolution of the real price of oil and its impact in the macro economy. As this literature has expanded at a rapid pace, it has become increasingly difficult for mainstream economists to understand the differences between...

We study the effect of spatial inequality on economic activity. Given that the relationship is highly simultaneous in nature, we use exogenous variation in geographic features to construct an instrument for spatial inequality, which is independent from any man-made factors. Inequality measures...

This paper uses unique Finnish firm-level micro data on service imports, work-force composition, and firm characteristics to examine changes in employment composition and performance of Finnish service importers during a period of a significant increase in services imports (2002-2012). We use...

Corruption is one of the world’s most widespread political problems. It can be found on international, national and sub-national level. Access to education and other socio-economic services is of utmost importance for all humans. It is still not exclusively based on merit, but often rather...

Empirical evidence from the U.S. and the European Union suggests that regions which contribute to interregional redistribution face weaker borrowing constraints than regions which benefit from interregional redistribution. This paper presents an argument in favor of such differentiated budgetary...

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...