What are the standard errors as reported in the Consumer Expenditure Survey standard error tables?
Sampling error is the difference between the survey estimate and the true population value. The most common measure of the magnitude of sampling error is the standard error. The primary purpose of standard errors is to provide users with a measure of the variability associated with the mean estimates. This variability measures how close different estimates would be to each other if it were possible to repeat the Consumer Expenditure Survey over and over using different samples of consumer units. A small standard error indicates that multiple samples would produce values that are consistently very close to each other, whereas a large standard error would indicate that multiple samples would produce values that are not close to each other. Beginning with year 2000 data, the Consumer Expenditure Survey program has made available standard error tables using integrated data from both surveys. These standard error tables correspond to the program s standard tables, except for the classificat
Related Questions
- I understand that, beginning with publication of the 2004 tables, the Consumer Expenditure Survey results include imputed income data. What does this mean for the typical user?
- What are the standard errors as reported in the Consumer Expenditure Survey standard error tables?
- How can I convert Consumer Expenditure Survey Text data tables into Excel format?