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Modelling Gender Dimensions of the Impact of Economic Reforms in Pakistan

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  • Rizwana Siddiqui

Abstract

Recently, gender-aware computable general equilibrium models (CGE) have been developed to analyse the impact of trade liberalization, with focus on a gender-disaggregated analysis of the production side of the economy. However, these studies ignore the gender-specific consumption effects due to the paucity of gender disaggregated data. We introduce intra-household allocation for the first time in a CGE-framework. The data is arranged in a gender-aware social accounting matrix, which reveals the hidden work of women (market and non-market). This study analyses the gender dimensions of the impact of economic reforms using three types of poverty indicators - FGT, capability, and relative time poverty - calculated on the basis of the simulation results. The study mainly found out that both trade liberalization and cuts in government expenditure are pro-rich. Within poor households, both policies hurt women more than men. Despite declines in absolute poverty in both exercises, the gender composition of the poor population changes in the majority of households. In the trade liberalization exercise, poverty among women relative to men increases in poor households and decreases among the rich, leading to an overall increase in the relative poverty of women in Pakistan. However, in the fiscal adjustment exercise, the incidence of poverty remains constant. In both exercises, time poverty among women relative to men increases in rural areas and decreases in urban areas, leading to an increase in relative poverty among women in Pakistan. The poverty of capabilities among men and women increases in a similar way after trade liberalization when measured by the infant mortality rate, but it affects women more negatively when measured by the literacy rate. Cuts in government expenditure also increase capability poverty among women more than men in both regions and in Pakistan as a whole. The study concludes that prosperity (increase in income), as well as education, can help reduce the gender gap as poverty decreases in relatively rich households, whether it is measured in monetary terms, capability terms, or in terms of time-use.

Suggested Citation

  • Rizwana Siddiqui, 2007. "Modelling Gender Dimensions of the Impact of Economic Reforms in Pakistan," Working Papers MPIA 2007-13, PEP-MPIA.
  • Handle: RePEc:lvl:mpiacr:2007-13
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    File URL: https://portal.pep-net.org/documents/download/id/13522
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    References listed on IDEAS

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    Cited by:

    1. Latorre, María C., 2016. "A CGE Analysis of the Impact of Foreign Direct Investment and Tariff Reform on Female and Male Workers in Tanzania," World Development, Elsevier, vol. 77(C), pages 346-366.
    2. Mukhopadhyay, Ujjaini & Chaudhuri, Sarbajit, 2011. "Economic liberalization, gender wage inequality and welfare – a theoretical analysis," MPRA Paper 32954, University Library of Munich, Germany.
    3. Kebede, Sindu & Fekadu, Belay & Aredo, Dejene, 2011. "Trade Liberalization and Poverty: A Macro-Micro Analysis in Ethiopia," Proceedings of the German Development Economics Conference, Berlin 2011 44, Verein für Socialpolitik, Research Committee Development Economics.
    4. Inés Terra & Marisa Bucheli & Carmen Estrades, 2007. "Trade Openness and Gender in Uruguay: a CGE Analysis," Documentos de Trabajo (working papers) 2407, Department of Economics - dECON.
    5. Kebede W. Sindu & Belay Fekadu & Dejene Aredo, 2016. "Impact of Trade Liberalization on Poverty in Ethiopia: A Computable General Equilibrium Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 109-133.
    6. Latorre, Maria C., 2014. "CGE analysis of the impact of foreign direct investment and tariff reform on female and male wages," Policy Research Working Paper Series 7073, The World Bank.

    More about this item

    Keywords

    Pakistan; Gender; CGE; Trade Policy; Public Policy; Time Allocation; Household Production and Intra-House Allocation; Poverty and Capability Development;

    JEL classification:

    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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