Value of Sample Separation Information in a Sequential Probit Model: Another Look at SSA's Disability Determination Process
Abstract
We have estimated a 4-step sequential probit model with and without sample separation information to characterize SSA's disability determination process. Under the program provisions, different criteria dictate the outcomes at different steps of the process. We used data on health, activity limitations, demographic traits, and work from 1990 SIPP exact matched to SSA administrative records on disability determinations. Using GHK Monte Carlo simulation technique, our estimation results suggest that the correlations in errors across equations that may arise due to unobserved individual heterogeneity are not statistically significant. In addition, we examined the value of administrative data on the basis for allow/deny determinations at each stage of the process. Following the marginal likelihood approach adopted by Benitez-Silva, Buchinsky, Chan, Rust, and Sheidvasser (1999), we also estimated the above sequential probit model without the sample separation information for the purpose of direct comparison. We found that without the detailed administrative information on outcomes at each stage of the screening process, we could not properly evaluate the importance of a large number of program-relevant survey-based explanatory variables. In terms of both in-sample and jackknife-type out-of-sample predictive analysis, the value of modeling the sequential structure of the determination process in generating correct eligibility probabilities is confirmed.Download Info
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Paper provided by University at Albany, SUNY, Department of Economics in its series Discussion Papers with number 01-12.Length:
Date of creation: 2001
Date of revision:
Handle: RePEc:nya:albaec:01-12
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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
Phone: (518) 442-4735
Fax: (518) 442-4736
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Postal: Department of Economics, BA 110 University at Albany State University of New York Albany, NY 12222 U.S.A.
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Web: http://www.albany.edu/economics/research/workingp/index.shtml
Related research
Keywords: Disability; Method of Simulated Movements; Multivariate Probit; Social Security;Other versions of this item:
- Chuanming Gao & Kajal Lahiri & Bernard Wixon, 2000. "Value of Sample Separation Information in a Sequential Probit Model: Another Look at SSA's Disability Determination Process," Econometric Society World Congress 2000 Contributed Papers 0340, Econometric Society.
References
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Dimitris Christelis & Dimitris Georgarakos & Michael Haliassos, 2010.
"Stockholding: From Participation to Location and to Participation Spillovers,"
Working Papers
2010_17, Department of Economics, University of Venice "Ca' Foscari".
- Dimitris Christelis & Dimitris Georgarakos & Michael Haliassos, 2009. "Stockholding: From Participation to Location and to Participation Spillovers," CFS Working Paper Series 2009/02, Center for Financial Studies.
- Dimitrios Christelis & Dimitris Georgarakos & Michael Haliassos, 2009. "Stockholding: From Participation to Location and to Participation Spillovers," CSEF Working Papers 230, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
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