Researcher:
Yeşiltaş, Sevcan

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Sevcan

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Yeşiltaş

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Yeşiltaş, Sevcan

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20222

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Researcher Of Publications: search.filters.isAuthorOfPublication.d10c9c25-57ff-4108-a3d0-e6cd5601fe78

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    PublicationOpen Access
    Role of institutional, cultural, and economic factors on the effectiveness of the lockdown measures
    (Elsevier, 2022) Department of Economics; Çakmaklı, Cem; Demiralp, Selva; Ergönül, Önder; Yeşiltaş, Sevcan; Yıldırım, Muhammed Ali; Faculty Member; Faculty Member; Faculty Member; Faculty Member; Faculty Member; Department of Economics; School of Medicine; College of Administrative Sciences and Economics; 107818; 42533; 110398; N/A; 219280
    Objective: this study considered the role of institutional, cultural and economic factors in the effectivemess of lockdown measures during the coronavirus pandemic. Earlier studies focusing on cross-sectional data found an association between low case numbers and a higher level of cultural tightness. Meanwhile, institutional strength and income levels revealed a puzzling negative relationship with the number of cases and deaths. Methods: data available at the end of September 2021 were used to analyse the dynamic impact of these factors on the effectiveness of lockdowns. The cross-sectional dimension of country-level data was combined with the time-series dimension of pandemic-related measures, using econometric techniques dealing with panel data. Findings: greater stringency of lockdown measures was associated with fewer cases. Institutional strength enhanced this negative relationship. Countries with well-defined and established laws performed better for a given set of lockdown measures compared with countries with weaker institutional structures. Cultural tightness reduced the effectiveness of lockdowns, in contrast to previous findings at cross-sectional level. Conclusion: institutional strength plays a greater role than cultural and economic factors in enhancing the performance of lockdowns. These results underline the importance of strengthening institutions for pandemic control.
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    PublicationOpen Access
    A Twitter-based economic policy uncertainty index: expert opinion and financial market dynamics in an emerging market economy
    (Frontiers, 2022) Altuğ, Sumru; Department of Economics; Yeşiltaş, Sevcan; Şen, Anıl; Arslan, Beyza; Faculty Member; Department of Economics; College of Administrative Sciences and Economics; Graduate School of Social Sciences and Humanities; 258768; N/A; N/A
    In this paper, we construct a Twitter-based high-frequency Economic Policy Uncertainty (TEPU) index built on a select set of Twitter user accounts whose tweets are considered to reflect expert opinion on the topic. We study the relationship between the TEPU index and a set of key financial indicators for tracking financial developments in Turkey over the sample period 2013–2021. Based on the results from a vector autoregressive analysis, we find evidence that changes in expert opinion described by fluctuations in the TEPU index interact with fluctuations in financial indicators such as the exchange rate and the stock market index to capture information about high frequency events during our sample period. Second, fluctuations in the TEPU index emerge as a key indicator that helps to predict the country risk premium measured by the CDS spread. We also find evidence that the conditional volatility of the different series reflects salient events that occurred over our sample period.