Using Panel Data to Estimate Risk Effects in Seemingly Unrelated Production Functions
AbstractIn this paper, production functions in the form of seemingly unrelated regressions (SUR) with errors that are heteroscedastic and that contain cross-section and time components are proposed. These functions are distinguished from others in that they allow the risks (indicated by variances) of outputs to change in any direction in response to input changes. The SUR are then applied in the analysis of cross-section time-series data for rice, wheat, and maize production in China.
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Bibliographic InfoArticle provided by Springer in its journal Empirical Economics.
Volume (Year): 17 (1992)
Issue (Month): 1 ()
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- Badi Baltagi & Alain Pirotte, 2011.
"Seemingly unrelated regressions with spatial error components,"
Springer, vol. 40(1), pages 5-49, February.
- Badi H. Baltagi & Alain Pirotte, 2010. "Seemingly Unrelated Regressions with Spatial Error Components," Center for Policy Research Working Papers 125, Center for Policy Research, Maxwell School, Syracuse University.
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- Tai-Hsin Huang, 2004. "Empirical estimation of production risk using a cost function with panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 297-301.
- Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
- Tveteras, Ragnar & Flaten, Ola & Lien, Gudbrand D., 2008. "Production risk in multi-output industries: estimates from Norwegian dairy farms," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43958, European Association of Agricultural Economists.
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