![]() Paid at an hourly rate in both the current month and a year ago.Therefore, job switching is defined only in a geographically local sense. Note: Because the Current Population Survey is a survey of addresses, if a person moves to a new address they will be missing from the data.In a different occupation or industry than a year ago or has changed employers or job duties in the past three months.Usually works 35 hours per week or more.In an industry other than construction, mining, or manufacturing.Trade and transportation: Trade, Transportation, Warehousing, Utilities.Leisure and hospitality: Leisure, Hospitality, Other services.Finance and business services: Finance, Information, Professional and business services.Low-skill: Food Preparation and Serving, Cleaning, individual Care Services, Protective Services.Middle-skill: Office and Administration, Operators, Production, Sales.High-skill: Managers, Professionals, Technicians.We also report Wage Growth Tracker measures for several job and demographic characteristics listed below (unless otherwise noted, the definitions refer to the individual’s status in the current month): Wage Growth Tracker by select employment and demographic characteristics Older, more educated workers are more likely to be continuously employed than other wage and salary earners. This is primarily due to the requirement that the individual has earnings in both the current and prior year. Note that our matched dataset has a slightly greater share of older, more educated workers in professional jobs than does the sample of all wage and salary earners. We then compute the median of the distribution of individual 12-month wage changes for each month. The matching algorithm results in about 2,000 individual wage growth observations per month. Once we have constructed the individual hourly earnings data, we match the hourly earnings of individuals observed in both the current month and 12 months earlier. Constructing the wage growth tracker statistic These restrictions yield an average of 9,300 earnings observations each month. Individuals employed in agricultural occupations (such as farm workers). ![]() ![]() ![]() Individuals whose hourly pay is below the current federal minimum wage for tip-based workers ($2.13).(See, for example, Hirsch and Schumacher 2001 and Bollinger and Hirsch 2006 for research showing that using imputed wage data can be problematic.) Individuals with earnings information that has been imputed by the BLS because of missing earnings data.We exclude wages of top-coded individuals because top-coded earnings will show up as having zero wage growth, which is unlikely to be accurate. The top-code is such that the product of usual hours times usual hourly wage does not exceed an annualized wage of $100,000 before 2003 and $150,000 in the years 2003 forward. Individuals whose earnings are top-coded.We further restrict the sample by excluding the following: We convert weekly earnings to hourly by dividing usual weekly earnings by usual weekly hours or actual hours if usual hours is missing. The Census Bureau reports earnings on either a per-hour or a per-week basis. Earnings are pretax and before other deductions. The earnings data are for wage and salary earners, and refer to an individual's main job (earnings data are not collected for self-employed people). The methodology is broadly similar to that used by Daly, Hobijn, and Wiles (2012). We use the information in these two interviews, spaced 12 months apart, to compute our wage growth statistic. Respondents answer questions about the wage and salary earnings of household members in the fourth and the last month they are surveyed. Each month, one-eighth of the households are in the sample for the first time, one-eighth for the second time, and so forth. Surveyed households are in the CPS sample four consecutive months, not interviewed for next eight months, and then in the survey again four consecutive months. (You can find an overview of the CPS on the Census website.) The survey features a rotating panel of households. Census Bureau for the Bureau of Labor Statistics. The data we use to compute the Atlanta Fed's Wage Growth Tracker are from the monthly Current Population Survey (CPS), administered by the U.S. Southeastern Rental Affordability Tracker.Community Development at the Federal Reserve.Survey and Diary of Consumer Payment Choice.Center for Workforce and Economic Opportunity.Center for Quantitative Economic Research (CQER).Center for Financial Innovation and Stability (CenFIS).Advancing Careers for Low-Income Families.Research REIN New Orleans Request Information.Research REIN Nashville Request Information.Research REIN Miami Request Information.Research REIN Jacksonville Request Information.Research REIN Birmingham Request Information.Research REIN Atlanta Request Information.
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