Data and code for the publication "Risk management under climate change and its implication on technical efficiency: Evidence from Senegal"

This repository contains code and data for the reproduction of analysis from: Collins-Sowah, Peron A., Adjin, Kougblenou C., Henning, Christian H.C.A. and Kanu, Edmond A. (2023) Data included: Estimation data for the sample selection stochastic frontier and it's ancillary model, and the meta-frontier model: LIM_B6_2.csv Code included: SSFA_Estimation.lim - code to estimate the sample selection stochastic production frontier and it's ancillary model (control function approach). LIMDEP/NLOGIT is required for the estimation Meta_frontier_RM&TE.R - code to estimate the meta-frontier using linear programming in R. TGR&MTE_RMT_B6_Summary.do - Stata do file to summarized the technology gap ratios and meta-technical efficiencies for the different risk management strategies.