The purpose of this paper is to investigate the impact of various environmental pollutants and gas emissions on economic growth in OECD countries. The research was conducted in 38 countries over a period of 22 years, the data are presented for the years 1997-2018. Years after 2018. were not used in the work due to the lack of data for certain countries and variables and were not included in the analysis. After descriptive analysis, in the ppaper was applied panel analyisthrough three models, a pooled model, a model with fixed effects and a model with random effects. The dependent variable in all models is the same, economic growth, or GDP, which is an indicator of the economic growth of countries, while we count 8 independent variables in the model. So the impact of GDP on methane emissions in agriculture, agricultural carbon nitrogen emissions, CO2 emissions, methane emissions, methane emissions in the energy sector, nitrogen oxide emissions, nitrogen oxide emissions in the energy sector and total greenhouse gas emissions is looked at. To select the best model from the three listed, three tests are used, the F-test, the Hausman test and the Breusch-Pagan LM test. After the tests, a model with random effects was selected. Breusch-Godfrey/Wooldridge tests were performed on the model to see if there is an autocorrelation problem and Breusch-Pagano test to test for heteroscedasticity problems. The model has an autocorrelation problem up to the second order.