Ekonomi Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1936

Browse

Filters

20242

Settings

Start date: 2021Publisher: search.filters.publisher.Türkiye Ekonomi Kurumu Vakfı

Search Results

Now showing 1 - 2 of 2
  • Article
    Borders of socio-economic development in Türkiye
    (Türkiye Ekonomi Kurumu Vakfı, 2024) Karahasan, Burhan Can; Can, Burhan
    Turkish economy is characterized by a dual regional structure. Historically, western regions form the relatively more developed and rich geography of the country. In the meantime, landlocked eastern regions are realizing a period of marginalization pushing majority of these regions toward full isolation from rest of the country. Our knowledge on this dual pattern departs mostly from monetary indicators. In this study, I use the socio-economic development index (SDI) which is first constructed by the State Planning Organization (SPO). The main objective is to use spatial tools for the period of 1963-2017 and to explore the historical evolution of spatial externalities and heterogeneity. This aims to visualize the socio-economic borders of Turkish provinces. While our findings confirm the spatial inertia for the under-developed eastern regions, they also show rising spatial spillovers among the developed western geography. However, this positive impact is geographically bounded by the central part of the country.
  • Review
    The role of pearl’s causal framework in empirical research
    (Türkiye Ekonomi Kurumu Vakfı, 2024) Bilgel, Fırat
    This paper underscores the necessity of formulating precise research questions that clarify causal relationships rather than simply identifying correlations and highlights the perils of relying solely on regression analysis in tackling complex causal inquiries without causal diagrams or structural causal models. It introduces Judea Pearl's causal epistemology, including causal graphs, structural causal models, and do-calculus as vital tools for estimating causal effects. It extends to the challenges of confounding and collider effects, the application of do-calculus with basic examples from Law & Economics and the advancements in causal discovery methods through constraint-based algorithms. The paper also offers a brief roadmap on best practices for identification and estimation.