Akademik Veri Yönetim Sistemi
Yönetim Bilimleri Dergisi, cilt.22, sa.51, ss.161-175, 2024 (Hakemli Dergi)
Cliometric analysis refers to the use of econometric analysis tools to study the connection between variables in a certain era, in addition to they have historical significance and seek to offer information about the period. The aim of the study is to examine the period that started after the proclamation of the Republic until the 1980 coup, which can be described as the crisis period. Therefore, the republican period between 1923 and 1980 will be subjected to cliometric analysis in this The variables to be analysed in the study are sectoral employment data taking into account agriculture, industry and services sectors and GDP data defining economic growth. By examining the relationship between variables, the existence of jobless growth will be tested on a sectoral basis, and the data sets will be examined in two separate analyses. The tests to be applied in the study will be carried out by applying both traditional analysis methods and new generation analysis methods. The first of the tests to be applied in the study can be expressed as the traditional Augmented Dickey Fuller (ADF) unit root test and the Fourier Granger Causality test to determine the causality relationship between variables. The use of the Fourier analysis method, which is among the new generation analysis methods, in the applied tests shows that the study will contribute to the literature. When the Augmented Dickey Fuller test results are examined, it is seen that the independent variables consisting of agriculture, industry and service sectors and the dependent variable consisting of the growth rate each contain unit roots at their level values but are purified from the unit root as a result of taking the first order difference. The results obtained from the Fourier Granger causality test of the study show that growth without employment was valid in the service sector between 1923 and 1980, while growth without employment was invalid in the agricultural and industrial sectors.