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Selecting correct functional form in consumption function: Analysis of energy demand at household level
Hafsa Hina1, Faisal Abbas1, Unbreen Qayyum1
1Pakistan Institute of Development Economics Islamabad, Islamabad, Pakistan.
This study compares energy demand models, finding the Linear Approximate Almost Ideal Demand System (LA-AIDS) model superior to the double log model for residential energy demand. Accurate energy demand forecasting is crucial for Pakistan
Area of Science:
- Econometrics
- Energy Economics
- Applied Microeconomics
Background:
- Parametric econometric models are standard for energy demand estimation.
- Debate exists on the optimal functional form for energy demand models.
- Accurate modeling is vital for predicting future energy needs and informing policy.
Purpose of the Study:
- To compare the double log model and the Linear Approximate Almost Ideal Demand System (LA-AIDS) model for residential energy demand.
- To develop and apply non-nested tests for evaluating functional form validity.
- To provide insights for policymakers regarding energy resource allocation and investment.
Main Methods:
- Utilized non-nested hypothesis testing, specifically the C-test.
- Employed cross-sectional household data from Pakistan Social and Living Standards Measurement (PSLM) 2013-14 and Asian Development Bank (ADB) 2018.
- Estimated energy demand elasticities (own-price, cross-price, income).
Main Results:
- The LA-AIDS model demonstrated superior performance compared to the double log model.
- Estimated elasticities highlight the significance of price, income, family size, and equipment in energy spending.
- Electricity, natural gas, and firewood constitute major household budget shares.
Conclusions:
- The LA-AIDS model provides a more accurate representation of residential energy demand.
- Rising household per capita energy demand necessitates proactive energy-saving strategies.
- Failure to address energy demand trends may lead to shortages and increased import costs.
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