IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/9764c47724f64b8c85f0b9a58c68cafc.html
   My bibliography  Save this paper

Work Incentive Simplification Pilot (WISP): Recommendations of the Technical Advisory Panel Regarding the Evaluation Design

Author

Listed:
  • David Wittenburg
  • David R. Mann
  • David C. Stapleton

Abstract

Still in its early design stages, the Work Incentive Simplification Pilot is a Social Security Administration demonstration to test major simplifications to the Social Security Disability Insurance work incentives.

Suggested Citation

  • David Wittenburg & David R. Mann & David C. Stapleton, "undated". "Work Incentive Simplification Pilot (WISP): Recommendations of the Technical Advisory Panel Regarding the Evaluation Design," Mathematica Policy Research Reports 9764c47724f64b8c85f0b9a58, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:9764c47724f64b8c85f0b9a58c68cafc
    as

    Download full text from publisher

    File URL: https://www.mathematica.org/-/media/publications/pdfs/disability/wisp_fnlrpt.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:mpr:mprres:6588 is not listed on IDEAS
    2. Steven Glazerman & Dan M. Levy & David Myers, 2003. "Nonexperimental Versus Experimental Estimates of Earnings Impacts," The ANNALS of the American Academy of Political and Social Science, , vol. 589(1), pages 63-93, September.
    3. repec:mpr:mprres:7005 is not listed on IDEAS
    4. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    5. repec:mpr:mprres:5780 is not listed on IDEAS
    6. Jody Schimmel & David C. Stapleton & Jae Song, 2010. "How Common is "Parking" Among Social Security Disability Insurance (SSDI) Beneficiaries? Evidence from the 1999 Change in the Level of Substantial Gainful Activity (SGA)," Working Papers wp220, University of Michigan, Michigan Retirement Research Center.
    7. Charles Michalopoulos & Howard S. Bloom & Carolyn J. Hill, 2004. "Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 156-179, February.
    8. Kristin Andrews & Bob Weathers & Su Liu, "undated". "How Do Medicaid Buy-In Participants Who Collect Social Security Disability Insurance Benefits Use SSA Work Incentive Programs?," Mathematica Policy Research Reports a3f8d9405e0c41d4b9a4c2849, Mathematica Policy Research.
    9. repec:mpr:mprres:4778 is not listed on IDEAS
    10. repec:mpr:mprres:3694 is not listed on IDEAS
    11. Charles Michalopoulos & David Wittenburg & Dina A. R. Israel & Jennifer Schore & Anne Warren & Aparajita Zutshi & Stephen Freedman & Lisa Schwartz, "undated". "The Accelerated Benefits Demonstration and Evaluation Project: Impacts on Health and Employment at Twelve Months," Mathematica Policy Research Reports 00f10b2f7afb4f56b0e79bb01, Mathematica Policy Research.
    12. Anu Rangarajan & Thomas Fraker & Todd Honeycutt & Arif Mamun & John Martinez & Bonnie O'Day & David Wittenburg, "undated". "The Social Security Administration's Youth Transition Demonstration Projects: Evaluation Design Report," Mathematica Policy Research Reports dc181046c9a041e6b63bb1b57, Mathematica Policy Research.
    13. repec:mpr:mprres:7006 is not listed on IDEAS
    14. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    15. repec:mpr:mprres:7173 is not listed on IDEAS
    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. repec:mpr:mprres:7471 is not listed on IDEAS
    2. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    3. Plamen Nikolov & Hongjian Wang & Kevin Acker, 2020. "Wage premium of Communist Party membership: Evidence from China," Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 309-338, August.
    4. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    5. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    6. Quỳnh Tiên Nguyên Lê & Morgan S. Polikoff, 2021. "Do English Language Development Curriculum Materials Matter for Students’ English Proficiency?," SAGE Open, , vol. 11(3), pages 21582440211, July.
    7. Chakravarty, Shubha & Lundberg, Mattias & Nikolov, Plamen & Zenker, Juliane, 2019. "Vocational training programs and youth labor market outcomes: Evidence from Nepal," Journal of Development Economics, Elsevier, vol. 136(C), pages 71-110.
    8. Roberto Gabriele & Anna Giunta, 2012. "R&D Incentives: The Effectiveness Of A Place-Based Policy," Departmental Working Papers of Economics - University 'Roma Tre' 0169, Department of Economics - University Roma Tre.
    9. Elizabeth Ty Wilde & Robinson Hollister, 2007. "How close is close enough? Evaluating propensity score matching using data from a class size reduction experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 455-477.
    10. Janice Tripney & Jorge Hombrados & Mark Newman & Kimberly Hovish & Chris Brown & Katarzyna Steinka‐Fry & Eric Wilkey, 2013. "Technical and Vocational Education and Training (TVET) Interventions to Improve the Employability and Employment of Young People in Low‐ and Middle‐Income Countries: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 9(1), pages 1-171.
    11. David H. Greenberg & Charles Michalopoulos & Philip K. Robin, 2006. "Do experimental and nonexperimental evaluations give different answers about the effectiveness of government-funded training programs?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 523-552.
    12. Ali, Akhter & Hussain, Imtiaz & Rahut, Dil Bahadur & Erenstein, Olaf, 2018. "Laser-land leveling adoption and its impact on water use, crop yields and household income: Empirical evidence from the rice-wheat system of Pakistan Punjab," Food Policy, Elsevier, vol. 77(C), pages 19-32.
    13. Jason K. Luellen & William R. Shadish & M. H. Clark, 2005. "Propensity Scores," Evaluation Review, , vol. 29(6), pages 530-558, December.
    14. Vivian C. Wong & Peter M. Steiner & Kylie L. Anglin, 2018. "What Can Be Learned From Empirical Evaluations of Nonexperimental Methods?," Evaluation Review, , vol. 42(2), pages 147-175, April.
    15. Reynold V. Galope, 2016. "A Different Certification Effect of the Small Business Innovation Research (SBIR) Program," Economic Development Quarterly, , vol. 30(4), pages 371-383, November.
    16. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    17. 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.
    18. Balima, Wenéyam Hippolyte & Combes, Jean-Louis & Minea, Alexandru, 2017. "Sovereign debt risk in emerging market economies: Does inflation targeting adoption make any difference?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 360-377.
    19. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    20. Apps, Patricia & Mendolia, Silvia & Walker, Ian, 2013. "The impact of pre-school on adolescents’ outcomes: Evidence from a recent English cohort," Economics of Education Review, Elsevier, vol. 37(C), pages 183-199.
    21. Slottje, Daniel J. & Millimet, Daniel L. & Buchanan, Michael J., 2007. "Econometric analysis of copyrights," Journal of Econometrics, Elsevier, vol. 139(2), pages 303-317, August.

    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:mpr:mprres:9764c47724f64b8c85f0b9a58c68cafc. 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: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.html .

    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.