Skip to main content

Advertisement

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