npsf

Nonparametric efficiency measurement and statistical inference via DEA type estimators (see Färe, Grosskopf, and Lovell (1994) doi:10.1017/CBO9780511551710, Kneip, Simar, and Wilson (2008) doi:10.1017/S0266466608080651 and Badunenko and Mozharovskyi (2020) doi:10.1080/01605682.2019.1599778) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see Kumbhakar and Lovell (2003) doi:10.1017/CBO9781139174411, Badunenko and Kumbhakar (2016) doi:10.1016/j.ejor.2016.04.049). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Last 30 days

This package has been downloaded 281 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18 times.

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Last 365 days

This package has been downloaded 3,829 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Nov 07, 2024 with 98 downloads.

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