Are production risk and labour market risk covariant?
While in a given situation the production risk that farmers face may well be independent of the labour market risk, in general these may be highly related in the context of the local labour market. The strength of this relationship has important implications not only for the correct specification of the household model under risk, but also for addressing the issue whether the farm household can use the labour market as a hedge against production uncertainty. Clearly, if the two risks are covariant, the possibility of doing so may be very small. If, instead, they are independent, the farm household may avail of the local casual labour market to balance the production risk it faces. Using a large sample of farmers we find that labour market risk and production risk are not causally related in the Granger sense. © 1998 John Wiley & Sons, Ltd.
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Volume (Year): 10 (1998)
Issue (Month): 1 ()
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- Sargent, Thomas J, 1976. "A Classical Macroeconometric Model for the United States," Journal of Political Economy, University of Chicago Press, vol. 84(2), pages 207-237, April.
- Guilkey, David K & Salemi, Michael K, 1982. "Small Sample Properties of Three Tests for Granger-Causal Ordering in a Bivariate Stochastic System," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 668-680, November.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Peter C.B. Phillips, 1985.
"Time Series Regression with a Unit Root,"
Cowles Foundation Discussion Papers
740R, Cowles Foundation for Research in Economics, Yale University, revised Feb 1986.
- Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
- Peter C.B. Phillips & Pierre Perron, 1986.
"Testing for a Unit Root in Time Series Regression,"
Cowles Foundation Discussion Papers
795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
- Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
- Tom Doan, "undated". "PPUNIT: RATS procedure to perform Phillips-Perron Unit Root test," Statistical Software Components RTS00160, Boston College Department of Economics.
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