IDEAS home Printed from https://ideas.repec.org/a/sae/pubfin/v44y2016i4p415-445.html
   My bibliography  Save this article

Economic Stimulus and the Tax Code

Author

Listed:
  • James M. Williamson
  • John L. Pender

Abstract

This article investigates the impact of geographically targeted Federal tax relief enacted after Hurricane Katrina in 2005. The relief included provisions to replace lost income, mitigate uninsured losses, and stimulate business activity. Using propensity score and Mahalanobis metric (MM) matching methods, we develop difference-in-differences (DD) estimates of the impacts of these tax incentives on income and employment growth in the Gulf Opportunity Zone. Results show that per capita personal income, including earnings, increased more rapidly in counties treated with the tax provisions than in similar untreated counties, though the results only apply to counties with minimal damage. We do not find strong evidence of impacts on employment or population growth.

Suggested Citation

  • James M. Williamson & John L. Pender, 2016. "Economic Stimulus and the Tax Code," Public Finance Review, , vol. 44(4), pages 415-445, July.
  • Handle: RePEc:sae:pubfin:v:44:y:2016:i:4:p:415-445
    DOI: 10.1177/1091142114557724
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1091142114557724
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1091142114557724?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. Hanson, Andrew, 2009. "Local employment, poverty, and property value effects of geographically-targeted tax incentives: An instrumental variables approach," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 721-731, November.
    4. Pender, John & Reeder, Richard, 2011. "Impacts of Regional Approaches to Rural Development: Initial Evidence on the Delta Regional Authority," Economic Research Report 262240, United States Department of Agriculture, Economic Research Service.
    5. Sarah Hamersma, 2008. "The effects of an employer subsidy on employment outcomes: A study of the work opportunity and welfare-to-work tax credits," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 498-520.
    6. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    7. Christopher L. House & Matthew D. Shapiro, 2008. "Temporary Investment Tax Incentives: Theory with Evidence from Bonus Depreciation," American Economic Review, American Economic Association, vol. 98(3), pages 737-768, June.
    8. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pender, John & Reeder, Richard, 2011. "Impacts of Regional Approaches to Rural Development: Initial Evidence on the Delta Regional Authority," Economic Research Report 262240, United States Department of Agriculture, Economic Research Service.
    2. Krishnan, Pramila & Krutikova, Sofya, 2013. "Non-cognitive skill formation in poor neighbourhoods of urban India," Labour Economics, Elsevier, vol. 24(C), pages 68-85.
    3. Barbara Casu & Andrew Clare & Anna Sarkisyan & Stephen Thomas, 2013. "Securitization and Bank Performance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1617-1658, December.
    4. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    5. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    6. Wagstaff, Adam & Yu, Shengchao, 2007. "Do health sector reforms have their intended impacts?: The World Bank's Health VIII project in Gansu province, China," Journal of Health Economics, Elsevier, vol. 26(3), pages 505-535, May.
    7. Eduardo Fajnzylber & Gonzalo Reyes, 2015. "Knowledge, Information, and Retirement Saving Decisions: Evidence from a Large-Scale Intervention in Chile," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 83-117, February.
    8. Anne Stevenot & Loris Guery & Geoffrey Wood & Chris Brewster, 2018. "Country of Origin Effects and New Financial Actors: Private Equity Investment and Work and Employment Practices of French Firms," British Journal of Industrial Relations, London School of Economics, vol. 56(4), pages 859-881, December.
    9. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    10. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2018. "Are farms in less favored areas less efficient?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 3-12, January.
    11. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    12. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    13. Simone Bertoli & Francesca Marchetta, 2014. "Migration, Remittances and Poverty in Ecuador," Journal of Development Studies, Taylor & Francis Journals, vol. 50(8), pages 1067-1089, August.
    14. Bakucs Zoltán & Fertő Imre, 2019. "Convergence or Divergence? Analysis of Regional Development Convergence in Hungary," Eastern European Countryside, Sciendo, vol. 25(1), pages 121-143, December.
    15. Johar, Meliyanni, 2009. "The impact of the Indonesian health card program: A matching estimator approach," Journal of Health Economics, Elsevier, vol. 28(1), pages 35-53, January.
    16. Jin, Hyun Joung & Cho, Sung Min, 2021. "Effects of cigarette price increase on fresh food expenditures of low-income South Korean households that spend relatively more on cigarettes," Health Policy, Elsevier, vol. 125(1), pages 75-82.
    17. Fertő, Imre & Bakucs, Zoltán & Varga, Ágnes, 2016. "Impact of EU subsidies on the of rural areas in Hungary," 160th Seminar, December 1-2, 2016, Warsaw, Poland 249826, European Association of Agricultural Economists.
    18. Abebaw, Degnet & Haile, Mekbib G., 2013. "The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia," Food Policy, Elsevier, vol. 38(C), pages 82-91.
    19. Miguel Angel Malo & Fernando Muñoz-Bullón, 2006. "Employment promotion measures and the quality of the job match for persons with disabilities," Hacienda Pública Española / Review of Public Economics, IEF, vol. 179(4), pages 79-111, September.
    20. Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:pubfin:v:44:y:2016:i:4:p:415-445. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.