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

Abdelhak Senhadji

No 1997/132, IMF Working Papers from International Monetary Fund

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: WP; dependent variable; income elasticity; Structural Import Demand; Income and Price Elasticities; Cointegration; Monte Carlo Methods; import demand equation; long-run elasticity; import demand elasticity estimate; t-statistic distribution; Imports; Price elasticity; Import prices; Personal income; Real exchange rates; Africa (search for similar items in EconPapers)
Pages: 29
Date: 1997-10-01
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:imf:imfwpa:1997/132

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