Online Survey Data on Economic Effects of Lockdowns and Post-Stratification Data Adjustment: Evidence from Bulgaria

Abstract

This contribution aims to discuss an original survey methodology, conceived in lockdown conditions, when face to face interviewing was prohibited and economic and sociological research faced obstacles in obtaining empirical data. An original pseudo-longitudinal Covid-CAWI is conducted in two fully harmonized waves. The basic methodological principles are elucidated along with limitations and advantages within the context of anti-epidemic measures and lockdowns in Bulgaria. The article elaborates the steps of data cleaning, conducted as an essential pre-processing step to high level of data quality. Special focus is devoted to posterior data optimization, using post-stratification adjustments. A comparison between weighted and unweighted data on economic effects is analysed. The paper contributes to the scientific debate on methodology insofar as online surveys become the one and only research opportunity for quantitative research in a crisis situation. The presented analysis of subsequent optimization procedures in Internet studies aims to open a discussion, especially in the context of socioeconomic research in a crisis situation where there are physical distance constraints. The data from the Covid-CAWI survey will be available for open access, so all interested in research may analyse the effects of the pandemic on social and economic life and debate on survey methodology.