Technical and allocative efficiencies of rice farmers in Bangladesh: Data and STATA codes

Published: 17 May 2021| Version 1 | DOI: 10.17632/hd964vvjgp.1
Subir Bairagi


This dataset contains household-level data collected from the two greater Rangpur and Mymensingh regions (Lalmonirhat, Kurigram, Rangpur, Gaibandha, Jamalpur, and Sherpur districts) of northwest Bangladesh in 2016. To collect data, a multi-stage stratified random sampling technique was employed: (i) each district mentioned above was divided into two strata, flood-prone and not flood-prone, based on historical flood information from the Bangladesh Bureau of Statistics (BBS), making 12 sub-districts; (ii) five local administrative units from each sub-district were selected, which are called Unions; (iii) from each Union, several villages were randomly selected; (iv) an equal number of rice farmers (twenty-five) were randomly selected and interviewed from each village with a structured questionnaire; (v) finally, a total of 1,500 farmers were face-to-face interviewed. In this study, a total of 998 samples were used, excluding observations that feature missing information and outliers.



Rice, Stochastic Frontier Modeling, Bangladesh, Efficiency Analysis, Allocative Efficiency