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100			_aWang, Jia _954216
245			_aEconomic Development Incentives: _bWhat Can We Learn From Policy Regime Changes?/ _cJia Wang
260			_bSage, _c2020.
300			_aVol.34, issue 2, 2020: (116–125p.)
520			_aThe authors investigate state-level economic incentive policies in the United States using the Panel Database on Incentives and Taxes for economic development (PDIT). Although interest in evaluating the efficacy of tax and incentive programs is growing, data limitations are formidable: Tax policies and expenditures are difficult to track and administrators are not equipped to gather the data needed for rigorous evaluation. The PDIT covers 45 industries in 32 U.S. states, including the main cities in the 30 largest metropolitan areas. The PDIT simulates the value of an incentive in terms of value added of a hypothetical firm in a particular industry, state, and year from 1990 to 2015. The authors identify and exploit large, discrete changes in incentive policies (e.g., regime changes). Applying the difference-in-differences method, they investigate potential causal links between regime changes and medium-run economic outcomes, including employment, establishment counts, wages, and poverty rates.
650			_aEconomic Development _954217
650			_aPolicy Regime Changes _954218
650			_aState-level economic incentive policies _954219
700			_aYuan, Weici _eCo-author _954220
700			_aRogers, Cynthia _eCo-author _954221
773	0		_010589 _916747 _dSage Publisher _tEconomic development quarterly
856			_uhttps://doi.org/10.1177/0891242420909899
942			_2ddc _cART
999			_c13432 _d13432