Testing j curve hypothesis with macroeconomic variables: Panel data analysis

One of the factors that affect the growth and development of their economies is foreign trade. In the global world, we expect economies to generate more income by increasing the added value of their goods in order to improve their foreign trade. Attention should be paid to the dry regime of the country for support for the foreign country's economy. Short and long periods on foreign exchange trading are not fully understood. It is a matter of curiosity what kind of a movement in foreign trade in the countries where this increasing money has. It is being discussed on which agenda to develop so that the trade of the devaluation will be positively affected. From the perspective of Bickerdike (1920), Robinson(1947) and Metzler(1948) from the first perspective, it is the model designed as BRM from the second perspective. Marshall-Lerner factory will express positively in terms of foreign trade, which is in a large-scale situation, in order to evaluate the exporters and importers. In this study, it is tested with the J-curve simulation of Lerner's friend in the period 1992-2020 with the Selected G-20. Panel data analysis was used in the study. In this context, CADF unit root test, matching test, PDOLS estimator and Granger causality test are considered together. Keywords: Foreign trade, J curve, Marshall-Lerner Condition, Panel Data Analysis