Economics Graduate Program

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Essays On Estimation Methods

(Institute of Social Sciences, 2019) Kütük, Yasin ; Güloğlu, Bülent ; 582356 ; Economics ; İktisat

In this study, new estimation methods have been investigated as the title of the dissertation suggests. These methods, at the time of writing this dissertation, are classified in Artificial Intelligence. Three articles have been completed for this purpose. These articles are not only new in terms of estimation methods, but also have many innovations in terms of data sets that are created and used. In addition, the methods used are also compared with econometric methods. The methods to be used in all the articles have been examined in detail in the first chapter. This chapter consists of two main sections. In the first section, the methodologies used in this study but mostly by artificial intelligence are examined. In the second section, econometric methodology to be used for comparison are examined. The first article is about estimating the likelihood of individuals transitioning from unemployment to employment. For this purpose, Household Labor Force Surveys in between 2004-2016 are utilized by matching the questions and the answers semantically which are changed year by year. On the side of machine learning, since the problem is described as classification, estimation methods and their algorithms used for this purpose selected in accordance with classification.