Persistency of Turkish export shocks: a quantile autoregression (QAR) approach


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Berument M. H., Dinçer N. N., Yasar P.

EMPIRICA, vol.43, no.3, pp.445-460, 2016 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 43 Issue: 3
  • Publication Date: 2016
  • Doi Number: 10.1007/s10663-015-9301-7
  • Journal Name: EMPIRICA
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.445-460
  • Keywords: Export demand, Unit root, Quantile autoregression
  • TED University Affiliated: Yes

Abstract

This study analyzes the persistency of total and disaggregated Turkish exports for different shock magnitudes using the quantile autoregression (QAR) method in line with Koenker and Xiao (J Am Stat Assoc 99:775-787, 2004). The results suggest that the persistence of shocks are not similar across different quantiles of Total Exports and disaggregated export sectors, indicating an asymmetry in the case of negative and positive shocks across different export sectors. The persistency behavior of Total Exports as well as Food and Beverages, Chemicals, Basic Metals, Raw Materials, Motor Vehicles and Radio & TV exports are asymmetric to negative versus positive shocks, which cannot be captured by traditional unit root tests. Thus, sound interpretation of QAR results is necessary for policy makers to identify shock characteristics and thereby pursue appropriate policies for overcoming adverse impacts on the economy.