Time-Series Estimation of Structural Import Demand Equations: A Cross-Country Analysis

29 Pages Posted: 15 Feb 2006

Date Written: October 1997

Abstract

This paper derives a structural import demand equation and estimates it for a large number of countries, using recent time series techniques that address the problem of nonstationarity. Because the statistical properties of the different estimators have been derived only asymptotically, econometric theory does not offer any guidance when it comes to comparing different estimators in small samples. Consequently, the paper derives the small-sample properties of both the ordinary-least-squares (OLS) and the fully-modified (FM) estimators using Monte Carlo methods. It is shown that FM dominates OLS for both the short- and long-run elasticities.

Keywords: Structural Import Demand, Income and Price Elasticities, Cointegration, Monte Carlo Methods

JEL Classification: F14, F41, E21, C22

Suggested Citation

Senhadji, Abdelhak S., Time-Series Estimation of Structural Import Demand Equations: A Cross-Country Analysis (October 1997). IMF Working Paper No. 97/132, Available at SSRN: https://ssrn.com/abstract=882687

Abdelhak S. Senhadji (Contact Author)

International Monetary Fund (IMF)

700 19th Street, N.W.
Washington, DC 20431
United States

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