PANEL DATA ANALYSIS: THE INFLUENCE OF CLIMATIC VARIABLES ON MEDICINES SALES IN SOUTHERN BRAZIL
DOI:
https://doi.org/10.22456/2176-5456.86618Keywords:
Retail, Climate, Drugstore, Sales, EconometricsAbstract
This paper proposes a model for the analysis of the impact of climatic variables on medicines sales in the southern region of Brazil. For this study, sales data of
262 pharmacies were collected, representing more than 80 million commercial transactions, and meteorological data from 26 cities through the national institute of meteorology during the period of January 2012 and June 2016. Using the fixed-effects
panel data model, a methodology characterized by the combined use of time series and
cross-sections, it is estimated that the variables with the greatest influence on sales are
temperature and precipitation. The main hypothesis tested in this study, that climatic
variables have a significant effect on sales, could be confirmed for some categories of
medicines, with different influences between them.