Based on a standard idea-based model of endogenous growth we test the hypothesis that regional innovative activity is path-dependent, and investigate the geographical scope of knowledge spillovers. Using data for West-German regions, two alternative indicators of the stock of knowledge are...

This paper shows that regional policies can decrease populist support. We focus on the "development objective" (Objective-1) of the European Regional Development Fund (ERDF), meant to support lagging-behind regions. For causal inference, we exploit three sources of quasi-exogenous variation in a...

We estimate the long-term effect of public R&D on growth in manufacturing by analyzing new data from the Cold War era Space Race. We develop a novel empirical strategy that leverages US-Soviet rivalry in space technology to isolate windfall R&D spending. Our results demonstrate that public R&D...

Since 1980, US wage growth has been fastest in large cities. Empirically, we show that most of this urban-biased growth reflects wage growth at large Business Services firms, which are also the most intensive users of information and communications technology (ICT) capital in the US economy. We...

We examine the recent literature that studies the spatial distribution of economic activity across both space and time. We discuss the methodological advances enabling the incorporation of dynamic forces of economic activity--such as endogenous innovation, forward-looking location choices,...

This paper estimates the aggregate productivity effects of Marshallian externalities generated by foreign direct investments (FDI) in the US. In contrast to earlier work, this paper puts special emphasis on controlling for Marshallian externalities and other intra- and inter-regional spillovers...

We test a New Economic Geography (NEG) model for U.S. counties, employing a new strategy that allows us to bring the full NEG model to the data, and to assess selected elements of this model separately. We find no empirical support for the full NEG model. Regional wages in the U.S. do not...

We develop a framework to estimate the economic value of a recent zoning reform in the city of Sao Paulo, which altered maximum permitted construction at the city-block level. Using a spatial regression discontinuity design, we find that developers file for more multi-family construction permits...

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output data with geospatial data, such as ambient air pollutants, nighttime lights, and temperature, we...