exports concentration and RER in developing countries 1991-2014

Principal Investigator(s):  View help for Principal Investigator(s) Silvia Vazquez, Instituto Desarrollo; Andres Jung, Universidad Catolica del Uruguay

Version:  View help for Version V1

Version Title:  View help for Version Title Export concentration in developing countries: do real exchange rate misalignments matter?

Name File Type Size Last Modified
Export concentration and RER misalignment.dta application/x-stata-dta 159.7 KB 07/21/2022 05:02:PM

Project Citation: 

Vazquez, Silvia , and Jung, Andres. exports concentration and RER in developing countries 1991-2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-07-21. https://doi.org/10.3886/E175961V1

Project Description

Summary:  View help for Summary We analyse the relation between Real Exchange Rates (RER) misalignments (i.e., RER overvaluation) and export concentration in developing countries. 
We explore a non-linear relation between these variables by analyzing episodes of “deep” RER misalignment, distinguishing between episodes of profound over and undervaluation. The methodology is based on a dynamic model (2S-SGMM estimator) where the concentration of manufactured exports is explained by a lagged RER misalignment, conditional to a set of structural variables, for a panel data of 97 developing countries during 1991-2014. 

Scope of Project

Subject Terms:  View help for Subject Terms Export concentration; RER misalignment
Geographic Coverage:  View help for Geographic Coverage 97 developing countries
Time Period(s):  View help for Time Period(s) 1991 – 2014 (Triennia)
Collection Date(s):  View help for Collection Date(s) 2019 – 2020
Universe:  View help for Universe 97 developing countries, excluding countries with less than 0.5 million inhabitants
Data Type(s):  View help for Data Type(s) aggregate data
Collection Notes:  View help for Collection Notes variables built with information from COMTRADE and PWT 9.0

Methodology

Response Rate:  View help for Response Rate public information available from the countries
Sampling:  View help for Sampling Given that the extant literature identifies a “hump” in the relation between export diversification and GDP per capita (Klinger & Lederman, 2006; Cadot et al., 2013; Cadot et al., 2011; Sekkat, 2016), we include in the sample only those countries with a GDP per capita lower than USD 30.000 (i.e. those located to the left of the “hump”)

In PPP prices (mill. 2011 US$) PWT 9.0. Criteria to classify countries as ‘developed’, ‘industrialised’, ‘OECD’, do not imply necessarily an order by GDPpc and show differences about which countries are ‘in’ or ‘out’. Similar as Parteka (2013), we adopt this ad-hoc criteria, excluding from the sample 30 ‘high income’ countries. Additionally, to avoid distortions originated in small cases, we excluded countries with a population below 500 thousand inhabitants.
Data Source:  View help for Data Source World Penn Tables (WPT) 9.0
COMTRADE
WDI, World Bank
Collection Mode(s):  View help for Collection Mode(s) other
Scales:  View help for Scales Original data base
Weights:  View help for Weights No weights
Unit(s) of Observation:  View help for Unit(s) of Observation Countries
Geographic Unit:  View help for Geographic Unit Developing countries

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V1 [2022-07-21]

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