Beveridge Egrisi ve Eslesme Fonksiyonu: Turkiye Ornegi

Birol Kanık, Enes Sunel and Temel Taskin

CBT Research Notes in Economics from Research and Monetary Policy Department, Central Bank of the Republic of Turkey

Abstract: [TR] Bu notta emek piyasasi dinamikleri hakkinda onemli ipuclari veren Beveridge egrisi, Turkiye ekonomisi ozelinde incelenmistir. Kuramsal cercevenin ozetlenmesinin ardindan yapilan ampirik analizde, 2005 : A1-2012 : A3 icin Beveridge egrisinin emek ekonomisi kuramlari ile ortusur sekilde acik isler ve issizlik arasinda negatif iliski onerdigi bulunmustur. Soz konusu donem kuresel finansal kriz etrafinda alt donemlere ayrildiginda, yine kuramsal yazin ile tutarli olarak, Beveridge egrisinin kriz sonrasi toparlanma surecinde saat yonunun tersi bir yonelimde oldugu gosterilmistir. “Kariyer.net†firmasi verileri ile yapilan olcut analiz ISKUR verileri ile tekrarlandiginda da isgucu piyasasinin dinamikleri acisindan benzer sonuclara varilmistir. Calismada ayrica Beveridge egrisinin temelini olusturan eslesme fonksiyonu “kariyer.net†ve ISKUR verileri icin tahmin edilmis ve analiz sonucu uygulamali iktisadi yazinla uyumlu bulgulara ulasilmistir. [EN] This note studies the Turkish Beveridge curve, which reveals important clues about the labor market dynamics in Turkey. The empirical analysis, which follows a brief discussion of the theoretical background of the Beveridge curve, documents that the Beveridge curve for the 2005 : M1- 2012 : M3 period suggests a negative relationship between unemployment and vacancies. When the analysis period is divided into sub-groups around the recent global financial crisis, the Beveridge curve is found to follow a counter-clockwise pattern during the economic recovery. The theoretically consistent results of the benchmark analysis, which uses the data from the employment firm ‘kariyer.net’ are robust to using ISKUR data. Lastly, the matching function, from which the Beveridge curve is derived, is estimated and the estimation results are shown to resemble the findings in the empirical literature.

Date: 2012
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