Disaggregated Imports Demand Functions: An Empirical Analysis for Pakistan

Malik Muhammad () and Umar Riaz
Additional contact information
Malik Muhammad: International Institute of Islamic Economics, IIIE International Islamic University, Islamabad, Pakistan
Umar Riaz: International Institute of Islamic Economics, IIIE International Islamic University, Islamabad, Pakistan

Journal of Quantitative Methods, 2018, vol. 2, issue 2, 7-27

Abstract: Given the importance of international trade in the economic performance of a country, voluminous research work has been carried out on the determinants of aggregate exports and imports. The present study departs from the conventional approach by analyzing demand of imports in a commodity-wise disaggregated fashion. As different products respond differently to trade policies and exchange rates, therefore policy makers can focus on the particular products when designing their policies for imports. Specifically, this study attempts to analyze the impact of prices, income level, foreign exchange reserves, exchange rate and trade liberalization program on 26 commodities defined by SITC 3-digit classification in which Pakistan has been most often a net importer. Using data for the period 1982 to 2010, GMM estimates reveal inelastic response of the major commodities to their own prices and are growth driven.

Keywords: Imports; Commodities; Elasticities; GMM (search for similar items in EconPapers)
JEL-codes: F14 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ojs.umt.edu.pk/index.php/jqm/article/view/24/22 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:jqmumt:0013

Access Statistics for this article

Journal of Quantitative Methods is currently edited by Sajid Ali

More articles in Journal of Quantitative Methods from University of Management and Technology, Lahore, Pakistan Department of Quantitative Methods, School of Business and Economics, University of Management and Technology, Lahore, Pakistan. Contact information at EDIRC.
Bibliographic data for series maintained by Romila Qamar ().