The Impact of Capital Subsidies: New Estimations under Continuous Treatment
Most of the relevant literature on the evaluation of the impact of public subsidies to private firms deals with the estimation of causal effects of a binary treatment. However, several policies allow for different levels of subsidies, depending on the investment project, the firm dimension, the region and also on the firms’ choice. The aim of the paper is to evaluate the causal effect of a policy intervention in the case of a continuous treatment, exploring the impact of differences in treatment level on policy outcome. As an empirical application, we estimated the impact of subsidies allocated by L. 488/1992, the main regional policy in Italy, in the southern regions of the country in the period 1996-2000. We compare two estimation methods: a parametric method, based on a more traditional DID estimator adapted to the continuous treatment case, and a non parametric estimator, based on a novel two-step matching method developed in our recent work (Adorno, Bernini and Pellegrini, 2007a). On average, our results support the conclusions derived from methods based on the binary treatment: subsidies have a positive and often statistically significant effect on employment, fixed assets and turnover. However, the strong heterogeneity of the treatment outcome with respect to different levels of treatment is highlighted. We find that higher the level of incentive, higher the policy effect until a certain point, from which the marginal impact decreases. The results are robust to changes in the estimation method.
Volume (Year): 66 (2007)
Issue (Month): 1 (March)
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- Richard Blundell & Mónica Costa Dias, 2008.
"Alternative Approaches to Evaluation in Empirical Microeconomics,"
CEF.UP Working Papers
0805, Universidade do Porto, Faculdade de Economia do Porto.
- Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
- Blundell, Richard & Costa Dias, Monica, 2008. "Alternative Approaches to Evaluation in Empirical Microeconomics," IZA Discussion Papers 3800, Institute for the Study of Labor (IZA).
- Richard Blundell & Monica Costa Dias, 2008. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers CWP26/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Richard Blundell & Monica Costa Dias, 2002. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers CWP10/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Raffaello Bronzini & Guido De Blasio, 2005. "Evaluating the impact of investment incentives - the case of the Italian Law 488," ERSA conference papers ersa05p649, European Regional Science Association.
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
- repec:rie:review:v:8:y:2003:i:2:n:5 is not listed on IDEAS
- Roper, Stephen & Hewitt-Dundas, Nola, 1999.
"Grant Assistance and Small Firm Development in Northern Ireland and the Republic of Ireland,"
ERSA conference papers
ersa99pa396, European Regional Science Association.
- Roper, Stephen & Hewitt-Dundas, Nola, 2001. "Grant Assistance and Small Firm Development in Northern Ireland and the Republic of Ireland," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(1), pages 99-117, February.
- Susan Athey & Guido W. Imbens, 2002.
"Identification and Inference in Nonlinear Difference-In-Differences Models,"
NBER Technical Working Papers
0280, National Bureau of Economic Research, Inc.
- Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, 03.
- Susan Athey & Guido Imbens, 2003. "Identification and Inference in Nonlinear Difference-in-Differences Models," Levine's Working Paper Archive 506439000000000079, David K. Levine.
- Brown, Marilyn A. & Curlee, T. Randall & Elliott, Steven R., 1995. "Evaluating technology innovation programs: the use of comparison groups to identify impacts," Research Policy, Elsevier, vol. 24(5), pages 669-684, September.
- Jere R. Behrman & Yingmei Cheng & Petra E. Todd, 2004. "Evaluating Preschool Programs When Length of Exposure to the Program Varies: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 108-132, February.
- Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
- Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
- Lu B. & Zanutto E. & Hornik R. & Rosenbaum P.R., 2001. "Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1245-1253, December.
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