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- W3137903230 abstract "Federal place-based policy could improve efficiency if it targets areas with large amenity or agglomeration externalities. We begin by showing that positive shocks to federal spending in a county and their associated economic stimulus substantially decrease crime, an important amenity. We then employ two machine learning algorithms---causal trees and causal forests---to conduct a data-driven search for heterogeneity in this effect. The effect is larger in below-median income counties, and the difference is economically and statistically significant. This heterogeneity likely improves the efficiency of the many place-based policies that target such areas." @default.
- W3137903230 created "2021-03-29" @default.
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- W3137903230 date "2017-01-01" @default.
- W3137903230 modified "2023-09-27" @default.
- W3137903230 title "Heterogeneous Amenity Spillovers of Local Economic Shocks" @default.
- W3137903230 doi "https://doi.org/10.2139/ssrn.3059137" @default.
- W3137903230 hasPublicationYear "2017" @default.
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