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Consumer Expenditure Survey, 1989: Interview Survey

Version
v1
Resource Type
Dataset : survey data
Creator
  • United States Department of Labor. Bureau of Labor Statistics
Other Title
  • Version 1 (Subtitle)
Collective Title
  • Consumer Expenditure Survey Series
Publication Date
1992-03-10
Language
English
Free Keywords
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
Description
  • Abstract

    The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Interview Survey was designed to collect data on major items of expense, household characteristics, and income. The expenditures covered by the survey are those that respondents can recall fairly accurately for three months or longer. In general, these expenditures include 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 xreported to the interviewer. The Income (ITAB) files supply monthly data at the UCC level for consumer unit characteristics and income.
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: 1989 First Quarter: Family Characteristics and Income
    • DS2: 1989 First Quarter: Member Characteristics and Income
    • DS3: 1989 First Quarter: Monthly Expenditures
    • DS4: 1989 First Quarter: Monthly Income
    • DS5: 1989 Second Quarter: Family Characteristics and Income
    • DS6: 1989 Second Quarter: Member Characteristics and Income
    • DS7: 1989 Second Quarter: Monthly Expenditures
    • DS8: 1989 Second Quarter: Monthly Income
    • DS9: 1989 Third Quarter: Family Characteristics and Income
    • DS10: 1989 Third Quarter: Member Characteristics and Income
    • DS11: 1989 Third Quarter: Monthly Expenditures
    • DS12: 1989 Third Quarter: Monthly Income
    • DS13: 1989 Fourth Quarter: Family Characteristics and Income
    • DS14: 1989 Fourth Quarter: Member Characteristics and Income
    • DS15: 1989 Fourth Quarter: Monthly Expenditures
    • DS16: 1989 Fourth Quarter: Monthly Income
    • DS17: 1990 First Quarter: Family Characteristics and Income
    • DS18: 1990 First Quarter: Member Characteristics and Income
    • DS19: 1990 First Quarter: Monthly Expenditures
    • DS20: 1990 First Quarter: Monthly Income
    • DS21: 1989-1990: Purchases of Household Appliances
    • DS22: 1989-1990: Inventory of Household Appliances
    • DS23: 1989-1990: Inventory and Purchases of Owned Vehicles
    • DS24: 1989-1990: Disposal of Owned Vehicles
    • DS25: 1989-1990: Trips and Vacations
    • DS26: 1989-1990: Publication Aggregation
    • DS27: 1989-1990: Publication Labels
    • DS28: 1989-1990: Universal Classification Codes and Titles
    • DS29: 1989-1990: Vehicle Make/Model Codes and Titles
    • DS30: 1989-1990: Codebook Text for All Parts
    • DS31: May 1991 Errata
    • DS32: March 1992 Errata
    • DS33: August 1992 Errata
    • DS34: November 1992 Errata
Temporal Coverage
  • Time period: 1989
Geographic Coverage
  • United States
Sampled Universe
Total civilian, noninstitutionalized population of the United States.
Sampling
The Consumer Expenditure Survey 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.
Note
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.
Availability
Download
This study is freely available to ICPSR member institutions via web download.
Alternative Identifiers
  • 9712 (Type: ICPSR Study Number)
Publications
  • Aguiar, Mark A., Bils, Mark. Has Consumption Inequality Mirrored Income Inequality?. NBER Working Paper Series.16807, Cambridge, MA: National Bureau of Economic Research. 2011.
    • ID: http://www.nber.org/papers/w16807.pdf (URL)
  • Attanasio, Orazio P., Paiella, Monica. Intertemporal consumption choices, transaction costs and limited participation in financial markets: Reconciling data and theory. Journal of Applied Econometrics.26, (2), 322-343.2011.
    • ID: 10.1002/jae.1154 (DOI)
  • Gervais, Martin, Klein, Paul. Measuring consumption smoothing in CEX data. Journal of Monetary Economics.57, (8), 988-999.2010.
    • ID: 10.1016/j.jmoneco.2010.08.009 (DOI)
  • Heathcote, Jonathan, Perri, Fabrizio, Violante, Giovanni L.. Unequal we stand: An empirical analysis of economic inequality in the United States, 1967-2006. Review of Economic Dynamics.13, (1), 15-51.2010.
    • ID: 10.1016/j.red.2009.10.010 (DOI)
  • Gelber, Alexander M., Mitchell, Joshua W.. Taxes and Time Allocation: Evidence from Single Women. NBER Working Paper Series.15583, Cambridge, MA: National Bureau of Economic Research. 2009.
    • ID: http://www.nber.org/papers/w15583.pdf (URL)
  • Primiceri, Giorgio E., van Rens, Thijs. Heterogeneous life-cycle profiles, income risk and consumption inequality. Journal of Monetary Economics.56, (1), 20-39.2009.
    • ID: 10.1016/j.jmoneco.2008.10.001 (DOI)
  • Blundell, Richard, Pistaferri, Luigi, Preston, Ian. Consumption inequality and partial insurance. American Economic Review.98, (5), 1887-1921.2008.
    • ID: 10.1257/aer.98.5.1887 (DOI)
  • Polkovnichenko, Nataliya. Empirical Tests of Consumption-Based Asset Pricing Models Using Household-Level Consumption Data. Dissertation, University of Minnesota. 2008.
  • Stephens, Melvin, Jr.. The consumption response to predictable changes in discretionary income: Evidence from the repayment of vehicle loans. Review of Economics and Statistics.90, (2), 241-252.2008.
    • ID: 10.1162/rest.90.2.241 (DOI)
  • Ding, Li. United States Households Consumption, a Comprehensive Analysis. Dissertation, University of Maryland-College Park. 2007.
  • Grant, Charles. Estimating credit constraints among US households. Oxford Economic Papers.59, 583-605.2007.
    • ID: 10.1093/oep/gpm024 (DOI)
  • Rajeev, Dehejia, Thomas, Deleire, Erzo, Luttmer F P. Insuring consumption and happiness through religious organizations. Journal of Public Economics.91, (1-2), 259-279.2007.
  • Krueger, Dirk, Perri, Fabrizio. Does income inequality lead to consumption inequality? Evidence and theory. Review of Economic Studies.73, (254), 163-193.2006.
    • ID: 10.1111/j.1467-937X.2006.00373.x (DOI)
  • LaLumia, Sara M.. Household Responses to Tax and Spending Policies. Dissertation, University of Michigan. 2006.
  • DeLeire, Thomas, Kalil, Ariel. How do cohabiting couples with children spend their money?. Journal of Marriage and Family.67, (2), 286-295.2005.
    • ID: 10.1111/j.0022-2445.2005.00116.x (DOI)
  • Dehejia, Rajeev, DeLeire, Thomas, Luttmer, Erzo F.P.. Insuring Consumption and Happiness Through Religious Organizations. Faculty Research Working Paper Series.RWP05-047, Cambridge, MA: Harvard University, John F. Kennedy School of Government. 2005.
    • ID: http://ksgnotes1.harvard.edu/Research/wpaper.nsf/rwp/RWP05-047/$File/rwp%5F05%5F047%5Fluttmer.pdf (URL)
  • Dehejia, Rajeev, Deleire, Thomas, Luttmer, Erzo FP. Insuring Consumption and Happiness through Religious Organizations. NBER Working Paper No. 11576.Cambridge, MA: National Bureau of Economic Research. 2005.
    • ID: http://www.nber.org/papers/w11576 (URL)
  • Fan, Jessie X., Zick, Cathleen D.. The economic burden of health care, funeral, and burial expenditures at the end of life. Journal of Consumer Affairs.38, (1), 35-55.2004.
    • ID: 10.1111/j.1745-6606.2004.tb00464.x (DOI)
  • Miller, Richard D., Jr.. Estimating the compensating differential for employer-provided health insurance. International Journal of Health Care Finance and Economics.4, (1), 27-41.2004.
    • ID: 10.1023/B:IHFE.0000019259.74756.65 (DOI)
  • Fan, Jessie X., Sharpe, Deanna L., Hong, Gong-Soog. Health care and prescription drug spending by seniors. Monthly Labor Review.126, (3), 16-26.2003.
  • Nicol, C.J.. Elasticities of demand for gasoline in Canada and the United States. Energy Economics.25, (2), 201-214.2003.
    • ID: 10.1016/S0140-9883(03)00002-1 (DOI)
  • Vissing-Jørgensen, Annette. Limited asset market participation and the elasticity of intertemporal substitution. Journal of Political Economy.110, (4), 825-853.2002.
    • ID: 10.1086/340782 (DOI)
  • Bils, Mark, Klenow, Peter J.. Quantifying quality growth. American Economic Review.91, (4), 1006-1030.2001.
    • ID: 10.1257/aer.91.4.1006 (DOI)
  • Nicol, Christopher J.. The rank and model specification of demand systems: An empirical analysis using United States microdata. Canadian Journal of Economics.34, (1), 259-289.2001.
    • ID: 10.1111/0008-4085.00074 (DOI)
  • Barrow, Lisa, McGranahan, Leslie. The effects of the earned income credit on the seasonality of household expenditures. National Tax Journal.53, (4), 1211-1243.2000.
  • Souleles, Nicholas S.. College tuition and household savings and consumption. Journal of Public Economics.77, (2), 185-207.2000.
    • ID: 10.1016/S0047-2727(99)00068-7 (DOI)
  • Parker, Jonathan A.. The reaction of household consumption to predictable changes in social security taxes. American Economic Review.89, (4), 959-973.1999.
    • ID: 10.1257/aer.89.4.959 (DOI)
  • Souleles, Nicholas S.. The response of household consumption to income tax refunds. American Economic Review.89, (4), 947-958.1999.
    • ID: 10.1257/aer.89.4.947 (DOI)
  • Fan, Jessie X.. Ethnic differences in household expenditure patterns. Family and Consumer Sciences Research Journal.26, (4), 371-400.1998.
    • ID: 10.1177/1077727X980264001 (DOI)
  • Fan, Jessie X., Zuiker, Virginia Solis. A comparison of household budget allocation patterns between Hispanic Americans and non-Hispanic White Americans. Journal of Family and Economic Issues.19, (2), 151-174.1998.
    • ID: 10.1023/A:1022900707619 (DOI)
  • Garner, Thesia I., Short, Kathleen, Shipp, Stephanie, Nelson, Charles, Paulin, Geoffrey. Experimental poverty measurement for the 1990s. Monthly Labor Review.121, (3), 39-61.1998.
    • ID: http://stats.bls.gov/opub/mlr/1998/03/art4full.pdf (URL)
  • Short, Kathleen, Shea, Martina, Johnson, David, Garner, Thesia I.. Poverty-Measurement Research Using the Consumer Expenditure Survey and the Survey of Income and Program Participation. American Economic Review.88, (2), 352-356.1998.
  • Fan, Jessie X.. An approach to adding price information to the Consumer Expenditure Survey. Consumer Interests Annual.42, 197-202.1996.
  • Rubin, Rose M., Koelin, Kenneth. Elderly and nonelderly expenditures on necessities in the 1980s. Monthly Labor Review.119, (9), 24-31.1996.
    • ID: http://stats.bls.gov/opub/mlr/1996/09/art4full.pdf (URL)
  • Anonymous. The future of spending. American Demographics.17, (1), 12 -1995.
  • Attanasio, Orazio P., Weber, Guglielmo. Is Consumption Growth Consistent with Intertemporal Optimization. Journal of Political Economy.103, (6), 1121-1157.1995.
    • ID: 10.1086/601443 (DOI)
  • Citro, Connie F., Michael, Robert T.. Measuring Poverty: A New Approach. Washington: National Academy Press. 1995.
  • Koelln, Kenneth, Rubin, Rose M., Picard, Marion Smith. Vulnerable Elderly Households: Expenditures on Necessities by Older Americans. Social Science Quarterly.76, (3), 619-633.1995.
  • Oh, Dong-Hoon. Housing Budget Share, Housing Expenditure, and Housing Affordability of U.S. Urban Households by Housing Tenure. Dissertation, Ohio State University. 1995.
  • Paulin, Geoffrey D.. A comparison of consumer expenditures by housing tenure. Journal of Consumer Affairs.29, (1), 164 -1995.
    • ID: 10.1111/j.1745-6606.1995.tb00044.x (DOI)
  • Pol, Louis G., Pak, Sukgoo. Consumer unit types and expenditures on food away from home. Journal of Consumer Affairs.29, (2), 403 -1995.
    • ID: 10.1111/j.1745-6606.1995.tb00054.x (DOI)
  • Rubin, Rose M., Koelln, Kenneth, Speas, Roger K., Jr.. Out-of-pocket health expenditures by elderly households: Change over the 1980s. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.50, (Bn5), S291 -1995.
  • Sabelhaus, John, Manchester, Joyce. Baby boomers and their parents: How does their economic well-being compare in middle age?. Journal of Human Resources.30, (4), 791-806.1995.
    • ID: http://www.jstor.org/stable/146232 (URL)
  • Wilkes, Robert E.. Household life-cycle stages, transitions, and product expenditures. Journal of Consumer Research.22, (1), 27-42.1995.
    • ID: 10.1086/209433 (DOI)
  • Attanasio, Orazio P.. Personal Saving in the United States. International Comparisons of Household Saving.Chicago: University of Chicago Press. 1994.
  • Attanasio, Orazio P., Weber, Guglielmo. Is Consumption Growth Consistent with Intertemporal Optimization? Evidence from the Consumer Expenditure Survey. NBER Working Paper Series.4795, Cambridge, MA: National Bureau of Economic Research. 1994.
    • ID: http://papers.nber.org/papers/w4795.pdf (URL)
  • Branch, E. Raphael. The Consumer Expenditure Survey: A Comparative Analysis. Monthly Labor Review.117, (12), 47-55.1994.
    • ID: http://stats.bls.gov/opub/mlr/1994/12/art6full.pdf (URL)
  • Cage, Robert. How does rental assistance influence spending behavior?. Monthly Labor Review.117, (5), 17-28.1994.
    • ID: http://stats.bls.gov/opub/mlr/1994/05/art4full.pdf (URL)
  • Caspersen, Erik, Metcalf, Gilbert. Is a Value Added Tax Regressive? Annual Versus Lifetime Incidence Measures. National Tax Journal.47, (4), 731-746.1994.
  • Del Boca, Daniela, Flinn, Christopher J.. Expenditure decisions of divorced mothers and income composition. Journal of Human Resources.29, (3), 742-761.1994.
  • Haller, H. Brandon, Norpoth, Helmut. Let the good times roll: The economic expectations of U.S. voters. American Journal of Political Science.38, (3), 625-650.1994.
    • ID: http://www.jstor.org/stable/2111600 (URL)
  • Lino, Mark. Income and spending patterns of single-mother families. Monthly Labor Review.117, (5), 29-37.1994.
    • ID: http://stats.bls.gov/opub/mlr/1994/05/art5full.pdf (URL)
  • Rubin, Rose M., Riney, Bobye J.. Workig Wives and Dual-Earner Families. Westport: Praeger. 1994.
  • Mayer, Susan, Jencks, Christopher. Recent trends in economic inequality in the United States: Income versus expenditure versus material wellbeing. Poverty and Prosperity in the U.S.A. the late twentieth century.New York: St. Martin's. 1993.
  • Reise, Elizabeth M.. A Look at Private Health Insurance Coverage of Families with Children under 18 Using Data from the Consumer Expenditure Interview Survey for 1989-91. Winter Meetings of the American Statistical Association.Ft. Lauderdale, FL. 1993.
  • Sabelhaus, John. What is the distributional burden of taxing consumption?. National Tax Journal.46, (3), 331-344.1993.
  • Slesnick, Daniel T.. Gaining Ground: Poverty in the Postwar United States. Journal of Political Economy.101, (1), 1-38.1993.
    • ID: 10.1086/261864 (DOI)
  • Anonymous. Financing Basics, Part 1: What You Should Know About Home Mortgages. Consumers' Research Magazine.75, (2), 16 -1992.
  • Crispell, Diane. Finding New Magazine Markets. Folio: The Magazine for Magazine Management.21, (5), 104 -1992.
  • Dinkins, Julia M., Edlow, M. Dianna. Expenditures for food away from home. Family Economics Review.5, (3), 9-17.1992.
  • Gray, Maureen Boyle. Consumer Spending on Durables and Services in the 1980's. Monthly Labor Review.115, (5), 18-26.1992.
    • ID: http://stats.bls.gov/opub/mlr/1992/05/art3full.pdf (URL)
  • Joung, Soon-Hee. Market Substitutes for Housework: Variations in Use. Dissertation, University of Illinois-Urbana-Champaign. 1992.
  • Peng, Ruijue. The Use of the Consumer Expenditure Survey in the Analysis of Renovation and Repair Expenditures. Working Paper.W92-5, Joint Center for Housing Studies of Harvard University. 1992.
  • Schwenk, F.N.. Income and expenditures of older widowed, divorced, and never-married women who live alone. Family Economics Review.5, (1), 2-8.1992.
  • Campanelli, Melissa. The African-American Market: Community, Growth, and Change. Sales and Marketing Management.143, (5), 75 -1991.
  • Exter, Thomas. Old Bucks in the Woods. American Demographics.13, (5), 6 -1991.
  • Guadagno, Mary Ann Noecker. Economic status of two-parent families with employed teens and young adults. Family Economics Review.4, (4), 2-10.1991.
  • Lino, Mark. Changes in income and expenditures for families with children in the 1980s. Family Economic Well-being in the Next Century: Challenges, Changes, Continuity.St. Paul, MN: University of Minnesota. 1991.

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

United States Department of Labor. Bureau of Labor Statistics (1992): Consumer Expenditure Survey, 1989: Interview Survey. Version 1. Consumer Expenditure Survey Series. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR09712.v1