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Household and Macroeconomic Effects of the Ehsaas Emergency Cash Programme in Pakistan

Hasnain Abbas Naqvi & Chang Yee Kwan

South Asian Journal of Macroeconomics and Public Finance2025https://doi.org/10.1177/22779787251370834article
AJG 1ABDC C
Weight
0.50

What the paper says

This article constructs a computable general equilibrium model calibrated to Pakistan’s social accounting matrix for 2010–2011 to examine the household and macroeconomic effects of an unconditional cash transfer—the Ehsaas Emergency Cash programme—during the COVID-19 pandemic. Simulation results find the programme to be Pareto improving by raising real incomes and consumption for all household types. However, it is also found that the cash transfer served to reallocate resources between sectors, reduce national income and increase the government budget deficit. Thus, despite the welfare gains, the outcomes on Pakistan’s fiscal and macroeconomic indicators suggest that enthusiasm for the programme’s continuation needs to be tempered. Instead, the programme may be better considered for inclusion as an automatic stabilizer in fiscal and social policy planning than as an additional component of social protection in Pakistan. A similar caution extends to other emerging economies facing concerns of rising public debt. JEL Classification: D58, H5, H84, E16

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https://doi.org/https://doi.org/10.1177/22779787251370834

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@article{hasnain2025,
  title        = {{Household and Macroeconomic Effects of the Ehsaas Emergency Cash Programme in Pakistan}},
  author       = {Hasnain Abbas Naqvi & Chang Yee Kwan},
  journal      = {South Asian Journal of Macroeconomics and Public Finance},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/22779787251370834},
}

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Household and Macroeconomic Effects of the Ehsaas Emergency Cash Programme in Pakistan

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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