Discussing anthropogenic global warming from an econometric perspective: a change scenario based on the Arima paleoclimate time series model

Global warming has divided the scientific community worldwide with predominance for anthropogenic alarmism. This article aims to project a climate change scenario using a stochastic model of paleotemperature time series and compare it with the dominant thesis. The ARIMA model, an integrated autoregressive process of moving averages, popularly known as Box-Jenkins, was used for this purpose. The results showed that the estimates of the model parameters were below 1 degree Celsius for a scenario of 100 years which suggests a period of temperature reduction and a probable cooling, contrary to the prediction of the IPCC and the anthropogenic current of an increase in 1,50 degree to 2,0 degree Celsius by the end of this century. Thus, we hope with this study to contribute to the discussion by adding a statistical element of paleoclimate in counterpoint to the current consensus and to placing the debate in a long term historical dimension, in line with other research already present in the scientific literature.