Estimating models with sample selection bias: a survey.
This paper surveys the available methods for estimating models with sample selection bias. I initially examine the fully parameterized model proposed by Heckman (1979) before investigating departures in two directions. First, I consider the relaxation of distributional assumptions. In doing so I...
| Published in: | Journal of Human Resources Vol. 33; no. 1; pp. 127 - 170 |
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| Format: | Article |
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University of Wisconsin Press
Winter98
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507618831&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507618831 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0022166X JHR jtl: Journal of Human Resources issn: 0022166X maglogo: N pubinfo: dt: Winter98 vid: 33 iid: 1 pid: 249 pub: University of Wisconsin Press artinfo: ui: 507618831 10.2307/146317 ppf: 127 ppct: 43 formats: fmt: – @attributes: type: T – @attributes: type: P size: 11MB tig: atl: Estimating models with sample selection bias: a survey. aug: au: Vella, Francis su: Estimation theory Statistical sampling Econometric models Panel analysis sug: subj: Estimation theory Statistical sampling Econometric models Panel analysis ab: This paper surveys the available methods for estimating models with sample selection bias. I initially examine the fully parameterized model proposed by Heckman (1979) before investigating departures in two directions. First, I consider the relaxation of distributional assumptions. In doing so I present the available semi-parametric procedures. Second, I investigate the ability to tackle different selection rules generating the selection bias. Finally, I discuss how the estimation procedures applied in the cross-sectional case can be extended to panel data. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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