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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/64680
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | Blundell, Richard | | en_US |
| dc.contributor.author | | Matzkin, Rosa L. | | en_US |
| dc.date.accessioned | | 2010-10-08 | | en_US |
| dc.date.accessioned | | 2012-10-16T13:12:18Z | | - |
| dc.date.available | | 2012-10-16T13:12:18Z | | - |
| dc.date.issued | | 2010 | | en_US |
| dc.identifier.pi | | doi:10.1920/wp.cem.2010.2810 | | en_US |
| dc.identifier.uri | | http://hdl.handle.net/10419/64680 | | - |
| dc.description.abstract | | The control function approach (Heckman and Robb (1985)) in a system of linear simultaneous equations provides a convenient procedure to estimate one of the functions in the system using reduced form residuals from the other functions as additional regressors. The conditions on the structural system under which this procedure can be used in nonlinear and nonparametric simultaneous equations has thus far been unknown. In this note, we define a new property of functions called control function separability and show it provides a complete characterization of the structural systems of simultaneous equations in which the control function procedure is valid. | | en_US |
| dc.language.iso | | eng | | en_US |
| dc.publisher | | Centre for Microdata Methods and Practice London | | en_US |
| dc.relation.ispartofseries | | cemmap working paper CWP28/10 | | en_US |
| dc.subject.jel | | C3 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | nonseparable models | | en_US |
| dc.subject.keyword | | simultaneous equations | | en_US |
| dc.subject.keyword | | control functions | | en_US |
| dc.title | | Conditions for the existence of control functions in nonseparable simultaneous equations models | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 636363082 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | en_US |
| Appears in Collections: | | cemmap working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (IFS)
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