Tarkan Cavusoglu
Hacettepe University
12 Papers
41 Citations
Tarkan Cavusoglu is an academic researcher from Hacettepe University. The author has contributed to research in topics: Economic inequality & Inflation. The author has an hindex of 5, co-authored 12 publications.
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Papers
•Posted Content
Credit transmission mechanism in Turkey: An empirical investigation
TL;DR: In this paper, bank lending behavior of 58 deposit money banks in the Turkish banking system over the period 1988-1999 has been investigated to empirically test the presence of a bank lending channel in Turkish economy.
Political instability, political freedom and inflation
TL;DR: In this paper, the authors used a dynamic panel data approach to estimate the impact of political and institutional factors on inflation in developed and low-inflation countries and found that when political freedom is taken into account, political instability appears to be influential on inflation also for developing countries and turns out to be significant only for high inflation countries.
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Does decentralization reduce income inequality? Only in rich states
TL;DR: This article investigated the relationship between decentralization and income inequality using data from U.S. states over three and a half decades and found that fiscal decentralization does reduce income inequality, but only in rich states.
22
Long-run monetary neutrality: evidence from high inflation countries
Erdinc Telatar,Tarkan Cavusoglu +1 more
- 01 Jan 2005
TL;DR: In this article, the authors investigate issues of long-run neutrality and long run superneutrality of money using data of high inflation countries (Argentina, Brazil, Ecuador, Mexico, Uruguay and Turkey).
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Modeling inflation uncertainty in transition economies: The case of Russia and the former Soviet Republics
Serkan Erkam,Tarkan Cavusoglu +1 more
TL;DR: In this paper, the linkage between inflation and uncertainty in seven transitional economies (Armenia, Azerbaijan, Georgia, Kazakhstan, the Kyrgyz Republic, the Russian Federation and the Ukraine) was investigated in the ARCH modeling framework by using both conventional Granger noncausality testing and the Holmes-Hutton approach, which has significant small-and large-sample power advantages over the former.