ALTERNATIVE FUNCTIONAL FORMS AND ERRORS OF PSEUDO DATA ESTIMATION.
The article presents some results from a pseudo data analysis of a small hypothetical process model that casts doubt about the usefulness of the approach. In the article, the authors discusses the statistical properties of the errors, the question of the appropriate norm for approximation errors; th...
| Publicado en: | Review of Economics & Statistics Vol. 62; no. 2; pp. 323 - 328 |
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| Autores principales: | , |
| Formato: | Artículo |
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MIT Press
May80
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=4652403&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 4652403 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00346535 RMS jtl: Review of Economics & Statistics issn: 00346535 maglogo: N pubinfo: dt: May80 vid: 62 iid: 2 pid: 776 pub: MIT Press artinfo: ui: 4652403 10.2307/1924768 ppf: 323 ppct: 5 formats: tig: atl: ALTERNATIVE FUNCTIONAL FORMS AND ERRORS OF PSEUDO DATA ESTIMATION. aug: au: Maddala, G.S. Roberts, R. Blaine su: Economic forecasting Error analysis in mathematics Elasticity (Economics) Prices Diversification in industry Labor Model validation Quantitative research Cost estimates sug: subj: Economic forecasting Error analysis in mathematics Elasticity (Economics) Prices Diversification in industry Labor Model validation Quantitative research Cost estimates ab: The article presents some results from a pseudo data analysis of a small hypothetical process model that casts doubt about the usefulness of the approach. In the article, the authors discusses the statistical properties of the errors, the question of the appropriate norm for approximation errors; the alternative functional forms; and the issue of single versus multiple equation methods of estimation. An illustrative analysis of a small process model and the resulting elasticities are presented. The purpose of the "pseudo data approach" is to condense the technical information in a complex process analysis model into a single equation. This single equation summarization is supposed to give estimates of several price and substitution elasticities as well as input-output coefficients which can presumably be used in other modeling exercises. The authors states that their examples illustrates the fact that the elasticity estimates obtained from the single equation summarization of the data generated from the process model are likely to be unstable and thus, not of much use. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1980 holdings: @attributes: islocal: N |
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