WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Institution Author: search.filters.institutionAuthor.Duran, Hasan Engin

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  • Article
    The Future of Urban Hierearchy and Zipf Law: Arima and Bats Forecasting
    (Springer Heidelberg, 2025) Duran, Hasan Engin
    Zipf's Law is recognized as a power law which is used to identify the extent and the evolution of the urban hierarchies. The existing studies have mostly adopted a retrospective view by analysing the past patterns. However, we would like to shed a light onto the future trajectories. Therefore, the aim of this study is to investigate the future of Urban Hierarchies and Zipf's Law for the U.S. Metropolitan Statistical Areas (MSA) and the period 1969-2070. Having applied, two forecasting methods; i."ARIMA (Autoregressive Integrated Moving Average)", ii. "BATS (Exponential smoothing state space model Box-Cox transformation, ARMA errors, Trend and Seasonal components)" and the estimation of rank-size rule, we obtained crucial conclusions (Box and Jenkins in: Time series analysis: forecasting and control, Holden-Day, San Francisco, 1970; Box et al. in: Time series analysis: forecasting and control, Wiley, New Jersey, 2016; Kinney in Acc Rev 53:48-60, 1978; Hyndman et al. in R package version 8.24.0, https://cran.r-project.org/web/packages/forecast/forecast.pdf, 2025; De Livera in: Automatic forecasting with a modified exponential smoothing state space framework, Department of Econometrics & Business Statistics, Monash University (Working Papers 10/10). https://www.monash.edu/business/econometrics-and-business%20statistics/research/publications/ebs/wp10-10.pdf, 2010; De Livera et al. in: Forecasting time series with complex seasonal patterns using exponential smoothing. (Working paper 15/09), Department of Econometrics & Business Statistics, Monash University. https://robjhyndman.com/papers/ComplexSeasonality.pdf, 2010; De Livera et al. in J Am Stat Assoc 106:1513-1527, 2011). We provide evidence that the Zipf's Law is observed not to hold over the last century and, if existing conditions hold, it is not expected to be valid in the next 50 years. Pareto exponent is found significantly below the Pareto level, historically, currently and prospectively.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    The Future of Regional Inequalities: an Arima Forecast
    (Springer Heidelberg, 2024) Duran, Hasan Engin
    The existing stream of empirical literature on regional inequalities has always adopted a retrospective look by analyzing the past evolution. We depart from the main stream by adopting a future perspective: Will regional inequalities shrink over time? How will the shape of income distribution evolve? Will spatial dependency increase? In the current paper, we forecast the long-term trajectory of per capita real personal income for U.S. states using the ARIMA model. We estimate the future of disparity level (for 2050 and 2090), the shape and spatial pattern of income distribution, convergence trend and spatial dependence by the help of inequality indexes (Atkinson, Coefficient of Variation, Theil) Kernel probability density distributions, explorative maps and Moran's I test. The dataset includes 48 coterminous U.S. states over the period 1929-2022. A set of important results appeared to emerge as an outcome of the empirical analyses: First, income disparities are expected to increase over the long-term period that implies a divergence pattern. Second, the forecasted shape of the income distribution is bi-modal and polarized, therefore, pointing to a widening of the inequalities. Third, the geography of the prosperity is projected to change in a way that the geographical position of high and low-income areas will change. Fourth, spatial dependence in per capita income is expected to fade away in the future. From a political stand point, additional resources should be devoted to the states that are expected to become backward (for some states in Northeast and Southwest) in order to maintain territorial cohesion.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Region-Specific Turning Points in Territorial Economic Resilience: A Business Cycle Approach To Turkey
    (Routledge, 2024) Duran, H.E.; Elburz, Z.; Kourtit, K.; Nijkamp, P.
    Almost all regional economic resilience studies measure resilience by referring to national time patterns of recessions. This study of region-specific patterns of resilience of 81 Turkish regions in the period 2009–20 and their underlying economic/demographic determinants in regions in Turkey shows that ignoring the different timings of regional and national economy recessions leads to misleading/biased results. The study shows first that provincial employment cycles are asynchronous. Second, the geographical pattern of resistance to the last 2018 economic crisis changes considerably when using province-specific rather than national turning points. Third, those provinces that are more open to trade, export- oriented, highly urbanised, and with a low level of human capital and entrepreneurial activities were more resistant to the recession. © 2023 Regional Studies Association.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    State-Level Taylor Rule and Monetary Policy Stress
    (Instytut Badan Gospodarczych/Institute of Economic Research (Poland), 2023) Duran, Hasan Engin; Gajewski, Pawel
    Research background: Taylor rule is a widely adopted approach to follow monetary policy and investigate various mechanisms related to or triggered by monetary policy. To date, no in-depth examination of scale, determinants and spillovers of state-level monetary policy stress, stemming from the Federal Reserve Board's (Fed's) policy has been performed. Purpose of the article: This paper aims to investigate the nature of monetary policy stress on US States delivered by the single monetary policy by using a quarterly dataset spanning the years between 1989 and 2017. Methods: We apply a wide array of time series and panel regressions, such as unit root tests, co-integration tests, co-integrating FMOLS and DOLS regressions, and Spatial Panel SAR and SEM models. Findings & value added: When average stress imposed on states is calculated, it is observed that the level of stress is moderate, but the distribution across states is asymmetric. The cross-state determinants behind the average stress show that states with a higher percentage of working-age and highly educated population, as well as those with higher population density and more export-oriented are negatively stressed (i.e. they experience excessively low interest rates), whereas higher unemployment rate contributes to a positive stress (too high interest rates). To the best of our knowledge, the contribution of this paper lies in estimating monetary policy stress at the state level and unveiling some of the determinants of this stress. Moreover, the paper makes the first attempt to empirically test spatial spillovers of the stress, which are indeed found significant and negative.
  • Article
    Citation - WoS: 12
    Citation - Scopus: 12
    Economic Resilience and Regionally Differentiated Cycles: Evidence From a Turning Point Approach in Italy
    (Wiley, 2023) Duran, Hasan Engin; Fratesi, Ugo
    The literature on regional resilience often neglects the timing of recessions and simply uses national cycles. Region-specific cycles and turning points might bias the results, however, and affect the choice of regions to target with policies. This paper investigates the geography and determinants of regional resilience with a regional turning point approach, using data for Italy, a country with a well-known and sizeable regional divide. The results show that the timing of regional cycles varies substantially and that the detected resilience determinants are different across the two approaches, implying that the policy levers may be wrongly estimated with national turning points.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Region-Specific Turning Points in Territorial Economic Resilience: a Business Cycle Approach To Turkey
    (Routledge, 2023) Duran, Hasan Engin; Elburz, Zeynep; Kourtit, Karima; Nijkamp, Peter
    Almost all regional economic resilience studies measure resilience by referring to national time patterns of recessions. This study of region-specific patterns of resilience of 81 Turkish regions in the period 2009-20 and their underlying economic/demographic determinants in regions in Turkey shows that ignoring the different timings of regional and national economy recessions leads to misleading/biased results. The study shows first that provincial employment cycles are asynchronous. Second, the geographical pattern of resistance to the last 2018 economic crisis changes considerably when using province-specific rather than national turning points. Third, those provinces that are more open to trade, export- oriented, highly urbanised, and with a low level of human capital and entrepreneurial activities were more resistant to the recession.
  • Article
    Citation - WoS: 8
    Citation - Scopus: 13
    Heterogenous Responses To Monetary Policy Regimes: a Regional Analysis for Turkey, 2009-2019
    (Hungarian Central Statistical Office, 2022) Duran, Hasan Engin; Karahasan, Burhan Can
    The heterogeneous response of regions to interest rate shocks is a severe issue that reduces the effectiveness of monetary policy. While the impact of interest rate shocks is central on policymaking, less has been discussed about the spatial heterogeneity in influencing macroeconomic policy implementations. In order to fill this gap, the authors explore regional responses to monetary policy in developing countries, such as Turkey. The main aim of the paper is to investigate how different regions adjust the extent of real economic activity in response to an exogenous country-wide shock in the interest rate policy. The analyses cover 81 Turkish provinces using monthly data from January 2009 to November 2019. To consider temporal and spatial patterns in the same framework, time-series analyses via unit root, co-integration, and VAR with spatial methods have been combined, including exploratory spatial data analysis and spatial econometric models. Preliminary findings validate that regional economic activity measured by employment responses is heterogeneous across provinces and policy regimes. Among the different determinants in assessing responsiveness to monetary policy shocks, interest rate, broad credit channels, and certain regional demographics have explanatory power. Moreover, sizeable spatial spillovers have been detected, which are believed to be crucial in evaluating the externalities and the exact impact of the country-wide policy shock in Turkey. Combined results indicate that the macroeconomic policy impact and spatial externalities are visible only during monetary expansion periods.
  • Article
    Citation - WoS: 8
    Citation - Scopus: 8
    Validity of Okun’s Law in a Spatially Dependent and Cyclical Asymmetric Context
    (Savez Ekonomista Vojvodine, 2022) Duran, Hasan Engin
    The current article analyzes the validity of Okun’s Law and sizable distortions that can occur in the estimation when spatial dependence and cyclical asymmetric impacts are not considered, which is a concern commonly ignored by the existing literature. Primarily spatial panel regressions (SDM, SAR, and SEM) and nonparametric regressions along with specification tests are adopted in terms of the methodology (such as panel unit root tests, panel cointegration, Moran’s I and Geary’s C tests of global spatial dependence, spatial LM, and Hausman tests). Additionally, spatial heterogeneity and cross-regional variation in Okun’s Law are investigated by adopting geographically weighted regression, LISA (local indicators for spatial association), and local Geary’s C analysis. A panel of 26 Turkish NUTS-2 regions from 2004 to 2018 was analyzed. The results clearly revealed that failing to incorporate spatial proximity and asymmetric cycle impacts leads to the biased estimation of Okun’s coefficient, such that during the downswing years of the national economy, Okun’s Law holds robustly: unemployment increases quickly in response to a decline in output. In contrast, during upswing years, the size of Okun’s coefficient is relatively much lower. Moreover, spatial dependence and heterogeneity are sizably evident. Okun’s coefficient is demonstrated to vary significantly across regions that have different industrial and labor market characteristics. As a policy implication, it has been understood that the reduction of unemployment is more difficult than initially understood, as economic growth itself does not provide a solution during upswing periods. The necessary special and region-specific policies are discussed throughout the text.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 5
    The Revival of the Feldstein-Horioka Puzzle and Moderation of Capital Flows After the Global Financial Crisis
    (Elsevier, 2022) Duran, Hasan Engin; Ferreira-Lopes, Alexandra
    This study investigates the recent trend of the Feldstein-Horioka puzzle and the underlying reasons for moderation in capital flows. This issue is analysed quite inadequately for the period after the Global Financial Crisis, which represents a crucial turning point for economic climate and policies. The Feldstein-Horioka Puzzle is estimated using the World's 13 largest economies, with panel GMM regression, between 1996 and 2016. We uncover that the Global Financial Crisis had a persistent detrimental effect on capital liberalization, after which the Feldstein-Horioka puzzle has revived and capital mobility has decreased. We suggest two possible explanations for such moderation in capital flows: the increasing risk perception and risk aversion behaviour of fund supplying countries, which increases the home bias, and capital controls against free flow of capital that have been applied after the Global Financial Crisis of 2008/2009.
  • Article
    Citation - WoS: 8
    Citation - Scopus: 9
    The Distribution of City Sizes in Turkey: a Failure of Zipf's Law Due To Concavity
    (Wiley, 2021) Duran, Hasan Engin; Cieslik, Andrzej
    The linearity of the distribution of city sizes is often assumed in the existing literature. Although different functional forms were tried, almost all of them impose a certain functional shape. In this study, we investigate the urban hierarchy and Zipf's law using data for 973 Turkish subprovincial cities in 2019. We contribute to the literature in several ways. We force no definite functional form to observe the natural shape and employ nonparametric and quadratic regressions. We incorporate formal procedures of spatial dependence in regression models. We demonstrate that the linear model overestimates the Pareto exponent for small cities and underestimates it for bigger cities. We show that city sizes are unevenly distributed in Turkey. The rank-size rule is not valid in Turkey, either above or below a certain city-size truncation level. Thus, the Pareto exponent estimated from the linear model is not a reliable indicator as quadratic regressions perform much better.