This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.
Consumer Expenditure Survey, 1988: Interview Survey (ICPSR 9451)
Principal Investigator(s): United States Department of Labor. Bureau of Labor Statistics
This data collection contains consumer information on relatively large purchases, such as those for property, automobiles, and major appliances, or expenditures that occur on a fairly regular basis, such as rent, utilities, or insurance premiums. Expenditures incurred while on trips are also covered by the survey. Excluded are nonprescription drugs, household supplies, and personal care items. Including global estimates on spending for food, it is estimated that about 90 to 95 percent of expenditures are covered in the Interview Survey. The Consumer Unit Characteristics and Income (FMLY) files in this collection contain consumer unit characteristics, consumer unit income, and characteristics and earnings of both the reference person and the spouse. Summary expenditure data are also provided. The Member Characteristics and Income (MEMB) files present selected characteristics for each consumer unit member, including reference person and spouse. Each record in the FMLY and MEMB files consists of three months of data. Detailed Expenditures (MTAB) files provide monthly data at the Universal Classification Code (UCC) level. In these files, expenditures for each consumer unit are classified according to UCC categories and are specified as gifts or nongifts. There may be more than one record for a UCC in a single month if that is what was reported to the interviewer. The Income (ITAB) files supply monthly data at the UCC level for consumer unit characteristics and income. Parts 21 through 25 of the collection offer consumer durables information for the following topics: household appliance purchases, inventory of appliances, vehicle inventory and purchases, vehicle disposals, and trip characteristics and expenses. Parts 26 and 27 are files designed for use with the printed publications based on these data. Part 28 contains Universal Classification Codes and their titles, Part 29 contains vehicle make and model codes, and Part 30 is the codebook documenting the data.
These data are available only to users at ICPSR member institutions. Because you are not logged in, we cannot verify that you will be able to download these data.
WARNING: Because this study has many datasets, the download all files option has been suppressed, and you will need to download one dataset at a time.
WARNING: This study is over 150MB in size and may take several minutes to download on a typical internet connection.
United States Department of Labor. Bureau of Labor Statistics. Consumer Expenditure Survey, 1988: Interview Survey. ICPSR09451-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1993. http://doi.org/10.3886/ICPSR09451.v2
Persistent URL: http://doi.org/10.3886/ICPSR09451.v2
Scope of Study
Subject Terms: automobile expenses, consumer behavior, consumer expenditures, consumption, debt, demographic characteristics, durable goods, employment, energy consumption, families, fixed income, food costs, household appliances, household budgets, household expenditures, household income, housing costs, insurance, purchasing, recreation expenses, taxes, unemployment benefits, vehicles, wages and salaries
Geographic Coverage: United States
Universe: Total civilian, noninstitutionalized population of the United States.
Data Types: survey data
Sample: The CES is based on a national probability sample of households. Households are selected from primary sampling units (PSUs), which consist of counties (or parts thereof), groups of counties, or independent cities. The set of sample PSUs used for the survey is composed of 109 areas, of which 91 urban areas have also been selected by the Bureau of Labor Statistics for the Consumer Price Index program. The sampling frame from which housing units were selected was generated from the 1980 Census 100-percent detail file, augmented by new construction permits and coverage improvement techniques used to eliminate recognized deficiencies in that census. The sample design is a rotating panel survey in which one-fifth of the sample is dropped and a new group added each quarter. Each panel is interviewed for five consecutive quarters and then dropped from the survey.
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Standardized missing values.
Original ICPSR Release: 1990-12-04
- 2006-01-12 All files were removed from dataset 36 and flagged as study-level files, so that they will accompany all downloads.
- 2006-01-12 All files were removed from dataset 35 and flagged as study-level files, so that they will accompany all downloads.
- 2006-01-12 All files were removed from dataset 34 and flagged as study-level files, so that they will accompany all downloads.
- 2006-01-12 All files were removed from dataset 33 and flagged as study-level files, so that they will accompany all downloads.
- 2006-01-12 All files were removed from dataset 32 and flagged as study-level files, so that they will accompany all downloads.
- 2006-01-12 All files were removed from dataset 31 and flagged as study-level files, so that they will accompany all downloads.
- 2006-01-12 All files were removed from dataset 30 and flagged as study-level files, so that they will accompany all downloads.
Related Publications (?)
- List all ~57 citations associated with this study
- View citations for the entire series
Most Recent Publications
- Citations exports are provided above.
Export Study-level metadata (does not include variable-level metadata)
If you're looking for collection-level metadata rather than an individual metadata record, please visit our Metadata Records page.