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    <link>https://hdl.handle.net/10419/238776</link>
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    <pubDate>Tue, 22 Sep 2026 08:55:51 GMT</pubDate>
    <dc:date>2026-09-22T08:55:51Z</dc:date>
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      <title>Gibson paradox: Panel data analysis on ASEAN-T countries</title>
      <link>https://hdl.handle.net/10419/290175</link>
      <description>Title: Gibson paradox: Panel data analysis on ASEAN-T countries
Authors: Kabak, Seçkin; Dallı, Tuğçe
Abstract: The existence of a long-term positive relationship between the nominal interest rate and the general price level is called the Gibson paradox in the economics literature. The main purpose of this study is to test whether Gibson paradox is valid for ASEAN-T countries with quarterly data from 1993:Q1 to 2019:Q4 using panel data analysis. In this context, short- and long-term interest rates and consumer price index variables were used. We first examined our data to investigate whether there was a cross-section dependency in our data set. Because of the cross-section dependency in the series, the CADF unit root test, one of the second-generation panel unit root tests, was used. Panel ARDL (Autoregressive Distributed Lag) bounds test was carried out due to the different stationarity levels of the series. According to the panel ARDL bounds test findings, there is a positive relationship between the long-term interest rate and the consumer price index in both the short and long terms. Therefore, the Gibson paradox is valid in ASEAN-T countries in the period under study.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
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      <dc:date>2023-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Investigating the causal relationship between renewable energy consumption and life expectancy in Turkey: A Toda-Yamamoto causality test</title>
      <link>https://hdl.handle.net/10419/290174</link>
      <description>Title: Investigating the causal relationship between renewable energy consumption and life expectancy in Turkey: A Toda-Yamamoto causality test
Authors: Yılmaz, Ekrem; Şensoy, Fatma
Abstract: This study examines the causal relationship between renewable energy consumption and life expectancy in Turkiye using the Toda-Yamamoto causality test. By analyzing data from 1990 to 2019, the study explores the relationship between these variables. The results of the Toda-Yamamoto causality test indicate that there is no Granger causality relationship from renewable energy consumption to life expectancy, indicating that renewable energy consumption does not have a significant impact on life expectancy in Turkiye. However, the study found a Granger causality relationship from life expectancy to renewable energy consumption, suggesting that improving life expectancy could lead to an increase in renewable energy consumption in Turkiye. This study is significant as it provides insights into the relationship between renewable energy consumption and life expectancy in Turkiye. The results highlight the importance of considering factors other than renewable energy consumption when examining public health outcomes. The study's findings can inform policymakers in developing energy policies that prioritize public health outcomes and promote sustainable energy practices.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
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      <dc:date>2023-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Reviewing the relationship between dividend and free cash flow of nonfinancial firms of KSE 100</title>
      <link>https://hdl.handle.net/10419/290172</link>
      <description>Title: Reviewing the relationship between dividend and free cash flow of nonfinancial firms of KSE 100
Authors: Muddasir, Muhammad; Mughal, Saad Ullah
Abstract: Dividend payments are the primary concern of short-term investors, while free cash flow is for long-term investors. In accordance with, the first aim of the study is to the measures of long term and short-term investments and secondly, we have checked whether the dividend payout of the small fifty and big fifty firms are indifferent or not regarding free cash flow. For this research, the sample size we took was all the non-financial listed companies in the KSE 100 Index of Pakistan Stock Exchange (PSX), between the time period starting from 2009 to 2018. We developed four regression models in total to examine our hypothesis and developed our models into two different series. In the end our results came out as expected and we have been able to concur with our defined objectives. We can conclude that, first, there is a strong relationship between long-term and short-term investments and when it comes to payment of dividends, the firms are different depending upon their size. It implies that investors are likely to consider both factors when making investment decisions. This could mean that investors will prioritize companies that demonstrate both strong long-term growth potential and short-term financial stability.</description>
      <pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://hdl.handle.net/10419/290172</guid>
      <dc:date>2022-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Application of DEA method in measuring of market efficiency of banks in Bosnia and Herzegovina and reflection of the COVID-19</title>
      <link>https://hdl.handle.net/10419/290168</link>
      <description>Title: Application of DEA method in measuring of market efficiency of banks in Bosnia and Herzegovina and reflection of the COVID-19
Authors: Čivić, Beriz
Abstract: By using the DEA method, the paper measures market efficiency of the banks in Bosnia and Herzegovina in the period 2017-2020, in the context of challenges caused by the COVID-19. The aims of the research are: a) to measure market efficiency of the banks in Bosnia and Herzegovina and rank them using the DEA method (applying three models CCR-O, BCC-O, and Window-I-C), b) establish the effect of the COVID-19 pandemic on market efficiency of the observed banks, and c) established the link between the volume of digital banking services usage and market efficiency of the observed banks. The research results show that in 2020, when the COVID-19 appeared, CCR-O and BCC-O models revealed a decrease in market efficiency for 73.9% of the observed banks while Window-I-C model revealed lower market efficiency for all the observed banks. The regression analysis applied showed a significant link between the volume of digital banking services usage market efficiency of the observed banks. The regression model was established, pointing to a significant importance of independent variables for the prediction of the dependent variable.</description>
      <pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
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      <dc:date>2022-01-01T00:00:00Z</dc:date>
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