IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Assessing the evidence on neighborhood effects from Moving to Opportunity

  • Aliprantis, Dionissi

This paper investigates the assumptions under which various parameters can be identified by the Moving to Opportunity (MTO) housing mobility experiment. Joint models of potential outcomes and selection into treatment are used to clarify the current interpretation of empirical evidence, distinguishing program effects from neighborhood effects. It is shown that MTO only identifi es a restricted subset of the neighborhood effects of interest, with empirical evidence presented that MTO does not identify effects from moving to high quality neighborhoods. One implication is that programs designed around measures other than poverty might have larger effects than MTO.

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: https://www.clevelandfed.org/en/Newsroom%20and%20Events/Publications/Working%20Papers/~/media/1C822BAB707C4CD88457D14DACEDF3A0.ashx
File Function: Full text
Download Restriction: no

File URL: https://www.clevelandfed.org/~/media/content/newsroom%20and%20events/publications/working%20papers/2011/wp%201122%20assessing%20the%20evidence%20of%20neighborhood%20effects%20from%20moving%20to%20opportunity%20pdf.pdf
File Function: Full text
Download Restriction: no

File URL: https://www.clevelandfed.org/~/media/content/newsroom%20and%20events/publications/working%20papers/2012/wp%201233%20assessing%20the%20evidence%20on%20neighborhood%20effects%20from%20moving%20to%20opportunity%20pdf.pdf
File Function: Full text
Download Restriction: no

Paper provided by Federal Reserve Bank of Cleveland in its series Working Paper with number 1122R.

as
in new window

Length: 30 pages
Date of creation: 2012
Date of revision: 30 Dec 2012
Handle: RePEc:fip:fedcwp:1122:x:1
Note: This paper has been substantially revised. For the new version see WP no. 1233.
Contact details of provider: Postal:
1455 East 6th St., Cleveland OH 44114

Phone: 216.579.2000
Web page: http://www.clevelandfed.org/

More information through EDIRC

Order Information: Email:


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. Brock,W.A. & Durlauf,S.N., 2004. "Identification of binary choice models with social interactions," Working papers 2, Wisconsin Madison - Social Systems.
  2. Pedro Carneiro & James Heckman & Edward Vytlacil, 2010. "Estimating marginal returns to education," CeMMAP working papers CWP29/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  3. Neal, Derek A & Johnson, William R, 1996. "The Role of Premarket Factors in Black-White Wage Differences," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 869-95, October.
  4. Robert J. LaLonde, 1995. "The Promise of Public Sector-Sponsored Training Programs," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 149-168, Spring.
  5. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  6. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February.
  7. Micere Keels & Greg Duncan & Stefanie Deluca & Ruby Mendenhall & James Rosenbaum, 2005. "Fifteen years later: Can residential mobility programs provide a long-term escape from neighborhood segregation, crime, and poverty," Demography, Springer, vol. 42(1), pages 51-73, February.
  8. James J. Heckman & Sergio Urzua, 2009. "Comparing IV With Structural Models: What Simple IV Can and Cannot Identify," NBER Working Papers 14706, National Bureau of Economic Research, Inc.
  9. Lisa Sanbonmatsu & Jeffrey R. Kling & Greg J. Duncan & Jeanne Brooks-Gunn, 2006. "Neighborhoods and Academic Achievement: Results from the Moving to Opportunity Experiment," NBER Working Papers 11909, National Bureau of Economic Research, Inc.
  10. Frölich, Markus, 2002. "Nonparametric IV Estimation of Local Average Treatment Effects with Covariates," IZA Discussion Papers 588, Institute for the Study of Labor (IZA).
  11. James J. Heckman & Paul A. LaFontaine, 2007. "The American High School Graduation Rate: Trends and Levels," NBER Working Papers 13670, National Bureau of Economic Research, Inc.
  12. Dionissi Aliprantis & Daniel R. Carroll, 2012. "Neighborhood dynamics and the distribution of opportunity," Working Paper 1212, Federal Reserve Bank of Cleveland, revised 01 Oct 2013.
  13. Edward Vytlacil, 2002. "Independence, Monotonicity, and Latent Index Models: An Equivalence Result," Econometrica, Econometric Society, vol. 70(1), pages 331-341, January.
  14. James J. Heckman & Sergio Urzua & Edward J. Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," NBER Working Papers 12574, National Bureau of Economic Research, Inc.
  15. Keane, Michael P & Wolpin, Kenneth I, 2000. "Eliminating Race Differences in School Attainment and Labor Market Success," Journal of Labor Economics, University of Chicago Press, vol. 18(4), pages 614-52, October.
  16. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
  17. Collins, William J. & Margo, Robert A., 2000. "Residential segregation and socioeconomic outcomes: When did ghettos go bad?," Economics Letters, Elsevier, vol. 69(2), pages 239-243, November.
  18. Quigley, John M. & Raphael, Steven, 2008. "Neighborhoods, Economic Self-Sufficiency, and the MTO Program," Berkeley Program on Housing and Urban Policy, Working Paper Series qt1nd2t0pw, Berkeley Program on Housing and Urban Policy.
  19. Dionissi Aliprantis & Francisca Richter, 2012. "Local average neighborhood effects from moving to opportunity," Working Paper 1208, Federal Reserve Bank of Cleveland.
  20. Brian A. Jacob, 2004. "Public Housing, Housing Vouchers, and Student Achievement: Evidence from Public Housing Demolitions in Chicago," American Economic Review, American Economic Association, vol. 94(1), pages 233-258, March.
  21. Justine S. Hastings & Jeffrey M. Weinstein, 2008. "Information, School Choice, and Academic Achievement: Evidence from Two Experiments," The Quarterly Journal of Economics, Oxford University Press, vol. 123(4), pages 1373-1414.
  22. Dionissi Aliprantis, 2010. "Redshirting, compulsory schooling laws, and educational attainment," Working Paper 1012, Federal Reserve Bank of Cleveland.
  23. Daniel Hartley, 2010. "Blowing it up and knocking it down: the effect of demolishing high concentration public housing on crime," Working Paper 1022, Federal Reserve Bank of Cleveland, revised 01 Oct 2014.
  24. Donald W. K. Andrews & Marcelo J. Moreira & James H. Stock, 2006. "Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression," Econometrica, Econometric Society, vol. 74(3), pages 715-752, 05.
  25. Alejandro Badel, 2010. "Understanding permanent black-white earnings inequality," Working Papers 2010-047, Federal Reserve Bank of St. Louis.
  26. Ludwig, Jens & Miller, Douglas L., 2006. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," IZA Discussion Papers 2111, Institute for the Study of Labor (IZA).
  27. 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.
  28. Heckman, James J. & Vytlacil, Edward J., 2000. "The relationship between treatment parameters within a latent variable framework," Economics Letters, Elsevier, vol. 66(1), pages 33-39, January.
  29. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, 09.
  30. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
  31. Sobel, Michael E., 2006. "What Do Randomized Studies of Housing Mobility Demonstrate?: Causal Inference in the Face of Interference," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1398-1407, December.
  32. Moreira, Marcelo J., 2009. "Tests with correct size when instruments can be arbitrarily weak," Journal of Econometrics, Elsevier, vol. 152(2), pages 131-140, October.
  33. Heckman, James J, 1996. "Randomization as an Instrumental Variable: Notes," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 336-41, May.
  34. Luiz M. Cruz & Marcelo J. Moreira, 2005. "On the Validity of Econometric Techniques with Weak Instruments: Inference on Returns to Education Using Compulsory School Attendance Laws," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).
  35. Jens Ludwig & Greg J. Duncan & Paul Hirschfield, 2001. "Urban Poverty and Juvenile Crime: Evidence from a Randomized Housing-Mobility Experiment," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 655-679.
  36. Aliprantis, Dionissi & Zenker, Mary, 2011. "Concentrated poverty," Economic Commentary, Federal Reserve Bank of Cleveland, issue Dec.
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:fip:fedcwp:1122:x:1. 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: (4D Library)

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.