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Applied Economics
Article . 2019 . Peer-reviewed
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Import demand in heterogeneous panel data with cross-sectional dependence

Authors: gregori tullio; giansoldati marco;

Import demand in heterogeneous panel data with cross-sectional dependence

Abstract

We investigate the long-run income and price elasticity of import demand functions with a heterogeneous unbalanced panel of 34 countries over the period 1985:q1-2018:q3. To estimate world elasticities the model is tested with the activity variables derived from the theoretical and empirical literature: GDP, GDP minus exports, Private Demand, Aggregate Domestic Demand, National Cash Flow, and Import intensity-Adjusted Demand (IAD). First, we evaluate time series properties using second generation panel unit root and cointegration tests. Second, we rely on the dynamic common correlated effects mean groups (CCEMG) estimator to deal with cross-sectional dependence (CSD). We find that the IAD, whose world elasticity is close to one, is the best performing specification. Our results confirm that the most appropriate activity variable to assess import demand should encompass intermediate goods as suggested by the recent literature on global supply chains. Moreover, we partially solve the puzzle of the recent trade slowdown since, taking stock of the role of intermediates, the time needed to resort to the long run equilibrium in the aftermath of a global turmoil is greater than that predicted by previous studies.

Country
Italy
Related Organizations
Keywords

import income elasticity, world import function; import income elasticity; import price elasticity; IAD; CCEMG, import price elasticity, IAD, CCEMG, world import function

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Green