Work

On Production Function Estimation with Selectivity and Risk Considerations

Year: 2005
Type: article
Abstract: In the estimation of production functions, ignoring risk considerations can cause inefficient estimates, while biased parameter estimates arise in the presence of sample selection. In the presence of uncertainty and selection bias, the latter introduced by the endogeneity of qualitative characteristics of inputs in crop choice, we show that correcting for risk considerations (a la Just and Pope, 1978, 1979) but not selection bias, can produce incorrect inferences in terms of risk behavior. The arguments raised in this study have estimation and policy implications for stochastic production analysis applied to all goods whose qualitative characteristics can affect sample selection.
Language: English
Subfield: Safety Research
Open Access status: green
OpenAlex ID: W1515299845
FWCI:
Cites: 16
Cited by: 41
Related to: 10