scholarly journals Political Risk and Real Exchange Rate: What Can We Learn from Recent Developments in Panel Data Econometrics for Emerging and Developing Countries?

2019 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Thouraya Hadj Amor ◽  
Ridha Nouira ◽  
Christophe Rault
2020 ◽  
pp. 7-7
Author(s):  
Ahmet Kaya

In this study, the effect of real exchange rate on bilateral trade balance between Turkey and its 25 main trade partners is investigated for the period of 1996 - 2015 with heterogeneous panel data techniques. Trade balance model is estimated by using Mean Group (MG) estimator, which allows parameter heterogeneity, Common Correlated Effects Mean Group (CCEMG), and Augmented Mean Group (AMG) estimators, which both allow cross-section dependency and heterogeneity. Results indicate that the real exchange rate elasticity of the trade balance ranges between -0.40 and -0.45 and Marshall-Lerner (ML) condition is valid for Turkey. According to the results, the foreign income elasticity of trade balance ranges between 1.54 and 2.84, while for domestic income elasticity, it is found between -0.75 and -1.38. Country-specific results show that ML condition is valid for the USA, Belgium, Spain, Switzerland, Romania, and Russia at the bilateral level according to both CCEMG and AMG estimators.


Author(s):  
Fiona Tregenna ◽  
Kevin Nell ◽  
Chris Callaghan

Global evidence suggests that, for many countries, manufacturing typically has an inverted U-shaped relationship with development. But unlike the historical experience of most developed countries, for most developing countries the turning point of this relationship is occurring sooner in the development process, and at substantially lower levels of income. This is termed ‘premature deindustrialization’. The consequences of this may be particularly important if such countries can no longer rely on manufacturing-led development. Why are some countries more industrialized, or more deindustrialized, than other comparable countries? To explore these issues, this chapter uses panel-data econometric techniques to analyse the determinants of the share of manufacturing in GDP, across countries and across time. Domestic determinants include investment, government consumption, population size, human capital, democracy, and natural resource endowments. External determinants include trade openness, capital account liberalization, and exchange rate depreciation.


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