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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