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


Abdelhak Senhadji


International Monetary Fund (IMF) - Asia and Pacific Department

October 1997

IMF Working Paper No. 97/132

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.

Number of Pages in PDF File: 29

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

JEL Classification: F14, F41, E21, C22

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Date posted: February 15, 2006  

Suggested Citation

Senhadji, Abdelhak, Time-Series Estimation of Structural Import Demand Equations: A Cross-Country Analysis (October 1997). IMF Working Paper, Vol. , pp. 1-29, 1997. Available at SSRN: http://ssrn.com/abstract=882687

Contact Information

Abdelhak Senhadji (Contact Author)
International Monetary Fund (IMF) - Asia and Pacific Department ( email )
700 19th Street NW
Washington, DC 20431
United States
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