Abstract
Abctract. The increase in refugee inflows due to war and violence in the world has revealed the necessity of dealing refugee inflows internationally. The aim of the study is to investigate the impact of refugee inflows on host economies. In this study, 36 OECD countries were analyzed with panel data method for the period 1993-2017. In the model, the number of refugees is independent; economic growth, inflation and government expenditures are dependent variables. In the first stage of the analysis, panel unit root tests were applied to test the stationary of the variables. Then, Gengenbach, Urbain and Westerlund panel cointegration tests were performed to test the cointegration relationship between the variables. To estimate the long-term relationships between variables, the Dynamic Ordinary Least Squares Mean Group (DOLSMG) estimator was used and a negative relationship was found between refugee inflows and economic growth, while a positive correlation was found between refugee inflows and inflation, also between refugee inflows and government expenditures. Finally, the Dumitrescu-Hurlin panel Granger causality test was used to estimate the causality relationship between the variables. According to the causality test results, while there was no causality relationship between refugee inflows and economic growth, a mutual causality relationship was found between refugee inflows and government expenditures. However, it has been observed that unidirectional Granger causality running from refugee inflows to inflation.
Keywords. Refugee inflows, Economic development, Macroeconomics, Panel data analysis.
JEL. F22, O10, E20, C33.
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