Health Econometrics Research: A Bibliometric Analysis from 1991 to 2020
Ebru Çağlayan Akay (),
Merve Ertok Onurlu and
Özlem Ergüt ()
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Ebru Çağlayan Akay: Marmara University, Faculty of Economics, Department of Econometrics, İstanbul, Turkiye
Özlem Ergüt: Canakkale Onsekiz Mart University, Biga Faculty of Economics and Administrative Sciences, Çanakkale Turkiye
EKOIST Journal of Econometrics and Statistics, 2023, vol. 0, issue 38, 243-264
Abstract:
As a discipline, econometrics provides quantitative insights for many fields of economics, and as a result, many subfields of econometrics have emerged over time. Health Econometrics is one of those subfields, which employs econometric theory for the issues in health economics. The number of studies gathering econometrics and health economics, and thereby health econometrics, increased over time, particularly during the 1990s. There is a substantial body of literature in health economics that shares insights on published materials. However, the number of research that use bibliometric analysis to study trends and the present state of health econometrics is limited. This research intends to investigate published materials in health econometrics from a variety of perspectives. To do this, data from publications with appropriate subject characteristicsin the EconLit database were collected between January 1991 and December 2020. The primary methodologies in the study were bibliometric analysis and scientific mapping. The overall findingsindicate that the number of publications has grown significantly over the previous 60 years, with the highest contributing writers primarily based in American institutions. In other words, health econometrics is gaining popularity among academics in the United Kingdom and the United States.
Keywords: Health Econometrics; Bibliometric Analysis; Science Mapping; EconLit (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ist:ekoist:v:0:y:2023:i:38:p:243-264
DOI: 10.26650/ekoist.2023.38.1242702
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