IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Jumpy or Kinky? Regression Discontinuity without the Discontinuity

  • Yingying Dong

    ()

    (Department of Economics, University of California-Irvine)

Regression Discontinuity (RD) models identify local treatment effects by associating a discrete change in the mean outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This paper shows that it is possible to identify the RD model treatment effect without a discontinuity. In particular, identification can come from a slope change (a kink) instead of a discrete level change (a jump) in the treatment probability. The intuition is based on L'hopital's rule. The identification results can also be interpreted using instrumental variables models. Estimators are proposed that can be applied in the presence or absence of a discontinuity, by exploiting either a jump, or a kink, or both. The proposed estimators are applied to investigate the "retirement-consumption puzzle." In particular, I estimate the impact of retirement on household food consumption by exploiting changes in the retirement probability at 62, the early retirement age in the US.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.economics.uci.edu/files/docs/workingpapers/2011-2012/dong-07.pdf
Download Restriction: no

Paper provided by University of California-Irvine, Department of Economics in its series Working Papers with number 111207.

as
in new window

Length: 55 pages
Date of creation: Nov 2011
Date of revision:
Handle: RePEc:irv:wpaper:111207
Contact details of provider: Postal:
Irvine, CA 92697-3125

Phone: (949) 824-5788
Web page: http://www.economics.uci.edu/

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Michael Hurd & Susann Rohwedder, 2003. "The Retirement-Consumption Puzzle: Anticipated and Actual Declines in Spending at Retirement," NBER Working Papers 9586, National Bureau of Economic Research, Inc.
  2. Agar Brugiavini & Erich Battistin, & Enrico Rettore & Guglielmo Weber, 2007. "The Retirement Consumption Puzzle: Evidence from a Regression Discontinuity Approach," Working Papers 2007_27, Department of Economics, University of Venice "Ca' Foscari".
  3. Yingying Dong & Arthur Lewbel, 2010. "Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models," Boston College Working Papers in Economics 759, Boston College Department of Economics, revised 15 Dec 2012.
  4. Nielsen, Helena Skyt & Sørensen, Torben & Taber, Christopher, 2008. "Estimating the Effect of Student Aid on College Enrollment: Evidence from a Government Grant Policy Reform," IZA Discussion Papers 3785, Institute for the Study of Labor (IZA).
  5. B. Douglas Bernheim & Jonathan Skinner & Steven Weinberg, 1997. "What Accounts for the Variation in Retirement Wealth Among U.S. Households?," NBER Working Papers 6227, National Bureau of Economic Research, Inc.
  6. Brian A. Jacob & Lars Lefgren, 2002. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," NBER Working Papers 8918, National Bureau of Economic Research, Inc.
  7. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, 01.
  8. John Ameriks & Andrew Caplin & John Leahy, 2002. "Retirement Consumption: Insights from a Survey," NBER Working Papers 8735, National Bureau of Economic Research, Inc.
  9. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Technical Working Papers 0337, National Bureau of Economic Research, Inc.
  10. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
  11. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-98, June.
  12. Lemieux, Thomas & Milligan, Kevin, 2008. "Incentive effects of social assistance: A regression discontinuity approach," Journal of Econometrics, Elsevier, vol. 142(2), pages 807-828, February.
  13. Jonathan Guryan, 2001. "Does Money Matter? Regression-Discontinuity Estimates from Education Finance Reform in Massachusetts," NBER Working Papers 8269, National Bureau of Economic Research, Inc.
  14. Imbens, Guido W. & Kalyanaraman, Karthik, 2009. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," IZA Discussion Papers 3995, Institute for the Study of Labor (IZA).
  15. Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
  16. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
  17. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-58, December.
  18. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs in Economics," NBER Working Papers 14723, National Bureau of Economic Research, Inc.
  19. Yingying Dong & Arthur Lewbel, 2011. "Regression Discontinuity Marginal Threshold Treatment Effects," Working Papers 111205, University of California-Irvine, Department of Economics.
  20. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, December.
  21. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  22. repec:oup:restud:v:79:y::i:3:p:933-959 is not listed on IDEAS
  23. Emma Aguila & Orazio P. Attanasio & Costas Meghir, 2008. "Changes in Consumption at Retirement," Working Papers 621, RAND Corporation.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:irv:wpaper:111207. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jennifer dos Santos)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.