Do Market Shocks Generate Gender Differentiated Impacts? Policy Implications from a Quasi-Natural Experiment in a Developing Country

Published: 10 March 2019| Version 1 | DOI: 10.17632/9fcbj4y2rp.1
Khondoker Mottaleb


This dataset is constructed from two successive Household Income and Expenditure Surveys (HIES) conducted in 2005 and 2010 by the Bangladesh Bureau of Statistics (BBS). After independence in 1971, the BBS conducted the first round of HIES in 1973-74. Since then until the HIES 2010 rounds, the BBS has successfully conducted 15 rounds of HIES, but information on consumption was not included until 2000 round. Since the HIES 2000, BBS started including detailed information on household incomes and particularly expenditures on food and non-food items. The expenditure on food and nonfood items includes both in-kind expenditures in the form of the monetary value of the self-produced item and non-farm food bought from the market. With the financial and technical support of the World Bank, the BBS uses a two-stage stratified random sampling process in which, in the first stage, the BBS selects primary sampling units (PSUs) consisting of specific geographical areas both in the rural and urban areas, and in the second stage, randomly selects 20 households from each PSU. The HIES 2005 survey included 504 PSUs and 10,080 households randomly selected from 8 divisions, 64 districts and 364 sub-districts. Finally, the HIES 2010 survey randomly selected 1000 PSUs and 12,240 households from all nine administrative divisions, 64 districts and 372 sub-districts. However, out of the aggregate 22,320 sampled households across two waves, nine households had to drop for the lack of information on food and non-food expenditures. The present study is thus based on information collected from 22,311 households in 2005 and 2010, of which 9,036 were from urban areas, and 13,275 were from rural areas; females headed 7,789 households and males headed 19,522.


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Centro Internacional de Mejoramiento de Maiz y Trigo


Economics, Econometrics, Gender, Household