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Erschienen in: Empirical Economics 2/2018

11.01.2017

Estimating export equations: a survey of the literature

verfasst von: Güzin Bayar

Erschienen in: Empirical Economics | Ausgabe 2/2018

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Abstract

Export is an important component of national income. It is one of the main determinants of the development level of countries. Both developed and developing countries formulate policies to increase their exports, to increase quality, technology and value added of exported products and to gain competitive advantage in world markets. Export equations provide valuable information regarding this decision making process. Aim of this study was to conduct a survey on extensive literature on estimation of export equations. The literature on export equations can be grouped mainly into four levels of analysis from macro to micro: aggregated level exports, country-level, sector-level and firm-level analyses. In this study, we have surveyed the literature on each level. In the last part, a survey of econometric techniques used in estimation of export equations has been provided, as well.

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Fußnoten
1
A rare exception to this is “giffen paradoks”. A product is called “giffen”, if for an inferior product, positive income effect due to increase in price of the product dominates the negative substitution effect. Thus, although the price of the product increases, it is demanded more.
 
2
AFTA-Asean Free Trade Area, CACM-Central American Market, NAFTA-North American Free Trade Area, ACN-Andean Community, EU-European Union, EMU-European Monetary Union (Eurozone), MERCOSUR-Southern Common Market, MENA-Middle East North Africa, COMESA-Common Market for Eastern and Southern Africa, WTO-World Trade Organization.
 
3
With his VAR formulation, Sims shared Nobel Prize in Economic Sciences in 2011 with Sargent, “for their empirical research on cause and effect in the macroeconomy”.
 
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Metadaten
Titel
Estimating export equations: a survey of the literature
verfasst von
Güzin Bayar
Publikationsdatum
11.01.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Empirical Economics / Ausgabe 2/2018
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-016-1220-3

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