Türkiye için Demografik Mikrosimülasyon Modeli

Author:

DULKADİR Barış1ORCID,ERYURT Mehmet Ali1ORCID

Affiliation:

1. HACETTEPE ÜNİVERSİTESİ, NÜFUS ETÜTLERİ ENSTİTÜSÜ

Abstract

This paper focuses on the use of microsimulation methodology to generate reliable population estimations for Türkiye. Microsimulation closely mimics life course dynamics and is therefore well-suited for predicting demographic changes. Using data from the 2018 Türkiye Demographic Health Survey, we developed a new microsimulation method that allows for greater customization and accuracy without relying on external patterns or models. The resulting population simulation includes age, education, marital status, usual residence, and labour force status for each individual until 2030. Our study demonstrates the flexibility and adaptability of microsimulation for demography and argues that it provides a coherent and meaningful way to estimate and project population attributes that other tools cannot provide. Ultimately, the dynamic simulation model has the potential to inform important policy decisions related to the population in Türkiye.

Funder

Yok

Publisher

OPUS - Uluslararasi Toplum Arastirmalari Dergisi

Reference24 articles.

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2. Dekkers, G. (2015). The simulation properties of microsimulation models. International Journal of Microsimulation, 97-109. DHS Program. (2022, 12 28). Retrieved from DHS Program: https://dhsprogram.com/data/Guide-to-DHS-Statistics/Organization_of_DHS_Data.htm

3. Dupriez, O. (2017). Synthetic Data for Micro-simulation. ESCAP Expert Meeting. Bangkok: ESCAP .

4. Elder, S., & Dorothea, S. (2004). Global employment trends for women. Employment Analysis Unit, Employment Strategy Department, International Labour Office.

5. Epstein, J. M., & Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Brookings Institution Press.

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