Shape-constrained kernel-weighted least squares : estimating production functions for Chilean manufacturing industries
Daisuke Yagi, Yining Chen, Andrew L. Johnson, Timo Kuosmanen
| Year of publication: |
2020
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|---|---|
| Authors: | Yagi, Daisuke ; Chen, Yining ; Johnson, Andrew L. ; Kuosmanen, Timo |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 38.2020, 1, p. 43-54
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| Subject: | Kernel estimation | Local polynomials | Multivariate convex regression | Nonparametric regression | Shape constraints. | Schätztheorie | Estimation theory | Produktionsfunktion | Production function | Regressionsanalyse | Regression analysis | Nichtparametrisches Verfahren | Nonparametric statistics | Industrie | Manufacturing industries | Chile | Kleinste-Quadrate-Methode | Least squares method | Schätzung | Estimation | Nichtparametrische Schätzung | Nonparametric estimation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2018.1431128 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012179500