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The Distributional Impact of Inflation in Pakistan: A Case Study of a New Price Focused Microsimulation Framework, PRICES

  1. Cathal O’Donoghue  Is a corresponding author
  2. Beenish Amjad
  3. Jules Linden
  4. Nora Lustig
  5. Denisa M Sologon
  6. Yang Wang
  7. Zeynep Gizem Can
  1. University of Galway, Ireland
  2. CEQ Institute, Tulane University, United States
  3. Luxembourg Institute for Social and Economic Research, Luxembourg
Research article
Cite this article as: C. O’Donoghue, B. Amjad, J. Linden, N. Lustig, D. M Sologon, Y. Wang, Z. Gizem Can; 2025; The Distributional Impact of Inflation in Pakistan: A Case Study of a New Price Focused Microsimulation Framework, PRICES; International Journal of Microsimulation; 18(3); 102-131. doi: 10.34196/ijm.00327
2 figures and 7 tables

Figures

Structure of a Price based Microsimulation Model.
Expenditure Category specific Price Growth November 2020-November 2022.

Source: Pakistan Bureau of Statistics Consumer Price Index. Ordered by COICOP category.

Tables

Table 1
Budget and Own Price Elasticities.
BudgetPrice
Food and Non-alcoholic beverages0.760-0.626
Alcoholic beverages*..
Tobacco0.455-0.275
Clothing and footwear0.718-0.469
Domestic Energy0.165-0.099
Electricity0.477-0.285
Rents1.020-0.617
Household services1.784-1.060
Health0.833-0.514
Private transport1.120-0.671
Public transport1.071-0.650
Communication0.845-0.512
Recreation and culture0.284-0.171
Education1.529-0.919
Restaurants and hotels1.103-0.664
Other goods and services1.068-0.694
Childcare costs*..
Motor fuels0.723-0.450
Durables1.800-1.068
  1. *

    Alcoholic beverages and Childcare costs are not included in the Pakistan HBS.

Table 2
Drivers of Inflation by High Level Expenditure Groups.
Budget ShareAverage Inflation Rate (in %)Contribution to total inflation (in %)
Food0.41742.8917.89
Motor Fuels0.04779.273.74
Domestic Energy and Electricity0.00763.650.44
Other Goods and Services0.52936.6119.36
Total1.00041.4341.43
Table 3
Budget Shares of expenditure components across equivalised expenditure quintiles (as a share of total expenditure).
QuintileFoodMotor FuelsDomestic Energy and ElectricityOther Goods and ServicesRelative Expenditure
10.5110.0310.0080.4500.42
20.4870.0410.0070.4640.62
30.4670.0430.0070.4830.82
40.4440.0490.0070.5001.11
50.3420.0530.0060.5992.03
Average0.4500.0440.0070.4991.00
Table 4
Budget Shares before and after Inflation without behaviour.
QuintileFoodMotor FuelsDomestic Energy and ElectricityOther Goods and Services
BeforeAfterBeforeAfterBeforeAfterBeforeAfter
10.5110.5240.0310.0270.0080.0070.450.442
20.4870.4990.0410.0360.0070.0060.4640.459
30.4670.4760.0430.0380.0070.0060.4830.481
40.4440.4500.0490.0430.0070.0060.50.501
50.3420.3310.0530.0460.0060.0050.5990.618
Average0.450.4560.0440.0380.0070.0060.4990.500
  1. Columns show the composition of the inflation (shown in the last column) in terms of the inflation in each expenditure category across equivalised expenditure quintiles

Table 5
Distributional impact of inflation across equivalised expenditure quintiles.
QuintileFoodMotor FuelsDomestic Energy and ElectricityOther Goods and ServicesAverage
10.2150.0250.0050.1630.408
20.2060.0330.0050.1650.409
30.1980.0340.0040.1700.407
40.1900.0390.0040.1780.412
50.1490.0420.0040.2260.422
Average0.1920.0350.0050.1810.411
Columns show the composition of the inflation (shown in the last column) in terms of the inflation in each expenditure category across equivalised expenditure quintiles.
Table 6
Welfare losses decomposition into price and behavioural adjustment.
Equivalised Expenditure
Quintile
InflationRelative CVBehaviour
10.40870.4053-0.0034
20.41050.4068-0.0037
30.40870.4060-0.0027
40.41310.4123-0.0009
50.42150.4197-0.0017
Total0.41250.4100-0.0025
Table A2
Fuel Prices used in Analysis in Local Currency.
Year2018
Diesel per litre73.4
Petrol per litre87.3
Electricity per kwh10.4
Kerosene per litre83.6
LPG per litre50.2
Coal per kg11.3

Data and code availability

The WIOD environmental accounts data is freely available can be downloaded from Economic, environmental and social effects of globalisation - European Commission (europa.eu) Household Budget survey data can be requested from the Pakistan Statistical office. Further information can be accessed on Data Dissemination | Pakistan Bureau of Statistics (pbs.gov.pk) The World Input Output Database (WIOD) data is freely available and downloadable from World Input-Output Database | WIOD | Groningen Growth and Development Centre | University of Groningen (rug.nl)

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