Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Subject: search.filters.subject.Nonparametric regressions

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  • Article
    Citation - Scopus: 11
    Non-Linear Regional Income Divergence and Policies: Turkey Case
    (Hellenic Association of Regional Scientists, 2015) Duran, Hasan Engin; 01. Izmir Institute of Technology; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture
    The literature on economic convergence is strongly influenced by Neo-Classical Growth model. It describes a monotone saddle path along which each economy converges towards a unique steady state. Commonly employed method in convergence analysis is the linear cross-sectional regressions which links the annual growth rate of regions to their initial income level. Ignoring the non-linearities is important from a policy perspective that implications obtained from a linear regression can be very different to the policies learned from a nonlinear case. Aim of the present study is to analyze regional income convergence in Turkey by using nonparametric convergence regressions. We implement our study for 67 provinces and a period 1975-2000. We find that the relationship between initial income and growth takes a inverted-U shape which means that the very low-income and high-income group of provinces experince a slow growth pattern compared to middle-income group. This has several implications for regional economic policies. First, middle-income provinces are able to stimulate their economies and fulfill their potential for convergence by market forces. Second, however, the very low-income provinces need a substantial help and assistance.It, therefore, becomes a natural necessity to direct policy instruments such as subsidies, direct and indirect income transfers, tax exemptions and other resources to these areas. In this way, nonparametric estimations provide a very useful guide to the way how the resources should be allocated across provinces. © 2015 Hellenic Association of Regional Scientists. All rights reserved.
  • 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; Duran, Hasan Engin; 02.03. Department of City and Regional Planning; 02. Faculty of Architecture; 01. Izmir Institute of Technology
    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.