JPselection: Just-Pope Production Functions with Heckman Selectivity Correction

Reproduces the three-step estimation procedure of Koundouri & Nauges (2005, JARE 30(3):597-608) for Just-Pope (1978, 1979) stochastic production functions with crop-choice sample selection.

Quick start

Use [jp_fit()] for the full pipeline. Print, summarise, and plot the result with [print.jpfit()], [summary.jpfit()], and [plot.jpfit()].

Individual steps are also exposed for finer-grained workflows: [estimate_selection()] (Step 1), [estimate_mean_function()] (Step 2), [estimate_risk_function()] (Step 3).

A simulated farm dataset matching the structure of the Cyprus sample used in the paper is available via [simulate_kiti_data()].

References

Koundouri, P. and Nauges, C. (2005). On production function estimation with selectivity and risk considerations. Journal of Agricultural and Resource Economics, 30(3), 597-608.

Just, R. E. and Pope, R. D. (1978). Stochastic representation of production functions and econometric implications. Journal of Econometrics, 7, 67-86.

Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47, 153-161.

See also

Useful links:

• https://github.com/robcareta/JPselection

• Report bugs at https://github.com/robcareta/JPselection/issues

Author

Maintainer: Roberto Cardenas Retamal roberto.cardenasret@gmail.com