Package index • JPselection

Package overview

JPselection-package JPselection: JPselection: Just-Pope Production Functions with Heckman Selectivity Correction

Full pipeline

Wrappers for the complete three-step procedure with vs. without selectivity correction.

jp_fit(): Fit the full Koundouri-Nauges (2005) three-step pipeline
jp_compare(): Compare jp_fit specifications across functional forms

S3 methods

Extracting coefficients and plotting fitted objects.

plot(<jpfit>): Plot the risk-function coefficients of a fitted `jpfit` object
coef(<jpfit>): Extract risk-function coefficients

Individual stages

The estimation steps exposed for finer control.

estimate_selection(): Estimate the crop-choice selection equation and compute the Inverse Mills Ratio
estimate_mean_function(): Estimate the Just-Pope mean production function with selectivity correction
estimate_risk_function(): Estimate the Just-Pope variance (risk) function

Export

Write results to Excel, LaTeX, or CSV for papers and slides.

jp_export(): Export a fitted `jpfit` object to Excel, LaTeX, or CSV

Example and reference data

Synthetic and packaged datasets used for demonstration.

simulate_kiti_data(): Simulate a Kiti-Cyprus-like farm dataset
prepare_caf_data(): Prepare Chilean Agricultural Census (CAF 2021) data for [jp_fit()]
caf2021_docs(): Open the CAF 2021 documentation bundled with the package
caf2021_g2_groups(): Default mapping of G2 codes to broad activity groups