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Table 2 Data sources, variables, and their uses in estimation

From: Using electronic transaction data to add geographic granularity to official estimates of retail sales

Data source Variables Uses
First Data (FD) Transaction value, or spend, by geography, industry, and month Number of merchants by geography, industry, and month Adjusting FD spend for FD merchant coverage Calculating dependent variables
U.S. Census Bureau Monthly Retail Trade Survey (MRTS) Retail sales for the United States by industry and month Calculating dependent variables Benchmarking
U.S. Census Bureau 2012 Economic Census (EC) Retail sales by state and industry for 2012 Accounting for suppressed FD spend Model covariates Validating experimental estimates
U.S. Census Bureau County Business Patterns (CBP) Number of employer establishments by state and industry for 2015 and 2016 Adjusting FD spend for FD merchant coverage
U.S. Census Bureau Nonemployer Statistics (NES) Number of nonemployer establishments by state and industry for 2015 and 2016 Adjusting FD spend for FD merchant coverage
U.S. Census Bureau Population Estimates Program (PEP) Resident population by state and year Model covariates
Bureau of Economic Analysis State Personal Income (SPI) Accommodation and food earnings by state and quarter Construction earnings by state and quarter Retail trade earnings by state and quarter Model covariates
Bureau of Labor Statistics Quarterly Census of Earnings and Wages (QCEW) Number of employees by state, industry, and month Validating experimental estimates