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Consumer Expenditure Survey, 1986: 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
1989-03-03
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 panel survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary or recordkeeping 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.
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: 1986 First Quarter: Family Characteristics and Income
    • DS2: 1986 First Quarter: Member Characteristics and Income
    • DS3: 1986 First Quarter: Monthly Expenditures
    • DS4: 1986 First Quarter: Monthly Income
    • DS5: 1986 Second Quarter: Family Characteristics and Income
    • DS6: 1986 Second Quarter: Member Characteristics and Income
    • DS7: 1986 Second Quarter: Monthly Expenditures
    • DS8: 1986 Second Quarter: Monthly Income
    • DS9: 1986 Third Quarter: Family Characteristics and Income
    • DS10: 1986 Third Quarter: Member Characteristics and Income
    • DS11: 1986 Third Quarter: Monthly Expenditures
    • DS12: 1986 Third Quarter: Monthly Income
    • DS13: 1986 Fourth Quarter: Family Characteristics and Income
    • DS14: 1986 Fourth Quarter: Member Characteristics and Income
    • DS15: 1986 Fourth Quarter: Monthly Expenditures
    • DS16: 1986 Fourth Quarter: Monthly Income
    • DS17: 1987 First Quarter: Family Characteristics and Income
    • DS18: 1987 First Quarter: Member Characteristics and Income
    • DS19: 1987 First Quarter: Monthly Expenditures
    • DS20: 1987 First Quarter: Monthly Income
    • DS21: 1986-1987: Purchases of Household Appliances
    • DS22: 1986-1987: Inventory of Household Appliances
    • DS23: 1986-1987: Inventory and Purchases of Owned Vehicles
    • DS24: 1986-1987: Disposal of Owned Vehicles
    • DS25: 1986-1987: Trips and Vacations
    • DS26: 1986-1987: Publication Aggregation
    • DS27: 1985-1986: Publication Labels
    • DS28: 1986-1987: Universal Classification Code Titles
    • DS29: 1986-1987: Vehicle Make/Model Code Titles
Temporal Coverage
  • Time period: 1986
Geographic Coverage
  • United States
Sampled Universe
Total civilian, noninstitutionalized population of the United States
Sampling
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 PSU's 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.
Collection Mode
  • The codebook for this collection is machine-readable only. Due to changes in the sample design introduced beginning in November 1985, users will not be able to link consumer units by the identification number (NEWID) between the 1985 tape and the 1986 tape. The Bureau of Labor Statistics suggests that users should use the 1984 and 1985 tapes or the 1986 and 1987 tapes (when available) for any micro-level longitudinal analysis. Users of 1985 tapes should be aware that 1986 first quarter data on the 1985 tape are from the old sample design, while 1986 first quarter data on the 1986 tape are from the new sample design. Consequently, the data are not the same. Users of pre-1986 tapes should also be aware that files have been re-alphabetized in the 1986 files, with the result that variable positions for 1986 will be different from those in previous years. Several variables have been added since the release of the 1985 tape. MEDICOV, an indicator variable, has been added to the MEMB file. This variable has a value of "1" if Social Security deductions cover only Medicare and "0" otherwise. The variables ALIMOX and CHLDSUPX have been added to the FMLY file. They contain values for alimony and child support payments, respectively. 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.

Note
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.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
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 9113 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR09113.v2
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.
  • 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)
  • 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)
  • 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)
  • Derrick, Frederick W., Scott, Charles E.. Sales Tax Equity: Who Bears the Burden?. Quarterly Review of Economics and Finance.38, (2), 227-237.1998.
    • ID: 10.1016/S1062-9769(99)80114-8 (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)
  • Cavanaugh, Tim. Bargain pine boxes. American Demographics.18, (9), 21 -1996.
  • Fan, Jessie X.. An approach to adding price information to the Consumer Expenditure Survey. Consumer Interests Annual.42, 197-202.1996.
  • Goldberg, Pinelopi Koujianou. Dealer Price Discrimination in New Car Purchases: Evidence from the Consumer Expenditure Survey. Journal of Political Economy.104, (3), 622-654.1996.
    • ID: 10.1086/262035 (DOI)
  • 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)
  • Nieswiadomy, Michael, Rubin, Rose M.. Change in expenditure patterns of retirees: 1972-1973 and 1986-1987. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.50, (Bn5), S274 -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.
  • Rubin, Rose M., Nieswiadomy, Michael L.. Economic adjustments of households on entry into retirement. Journal of Applied Gerontology.14, (4), 467-482.1995.
    • ID: 10.1177/073346489501400407 (DOI)
  • Russell, Cheryl. The Official Guide to the American Marketplace, 2nd Edition. Ithaca: New Strategist Publications. 1995.
  • 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)
  • Caspersen, Erik, Metcalf, Gilbert. Is a Value Added Tax Regressive? Annual Versus Lifetime Incidence Measures. National Tax Journal.47, (4), 731-746.1994.
  • Dardis, Rachel, Soberon-Ferrer, Horacio. Consumer preferences for Japanese automobiles. Journal of Consumer Affairs.28, (1), 107 -1994.
    • ID: 10.1111/j.1745-6606.1994.tb00817.x (DOI)
  • 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)
  • Rubin, Rose M., Nieswiadomy, Michael. Expenditure patterns of retired and nonretired persons. Monthly Labor Review.117, (4), 10-21.1994.
    • ID: http://stats.bls.gov/opub/mlr/1994/04/art2full.pdf (URL)
  • Rubin, Rose M., Riney, Bobye J.. Workig Wives and Dual-Earner Families. Westport: Praeger. 1994.
  • Branch, E. Raphael. Short run income elasticity of demand for residential electricity using Consumer Expenditure Survey data. Energy Journal.4, (4), 111-121.1993.
  • Rubin, Rose M., Koelln, Kenneth. Determinants of Household Out-of-Pocket Health Expenditures. Social Science Quarterly.74, (4), 721-735.1993.
  • Rubin, Rose M., Kowlln, Kenneth. Out-of-Pocket Health Expenditure Differentials Between Elderly and Non-elderly Households. Gerontologist.33, (5), 595-602.1993.
    • ID: 10.1093/geront/33.5.595 (DOI)
  • 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)
  • Alhabeeb, Musaddak J.. The Interaction Between Quantity and Quality of Children in the Household Production Function: A Simultaneous Model. Dissertation, University of Illinois-Urbana-Champaign. 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)
  • Nunnikhoven, Thomas S.. Finding the optimal allocation to a health-care reimbursement account. Insurance: Mathematics and Economics.11, (3), 223-235.1992.
    • ID: 10.1016/0167-6687(92)90028-A (DOI)
  • 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.
  • 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.
  • Chung, Young S., Magrabi, E.M.. Age-Related Changes in Expenditure Patterns. Proceedings of the 36th Annual Conference of the American Council on Consumer Interests.Columbia, MO: ACCI (American Council on Consumer Interests). 1990.
  • Moehrle, Thomas. Expenditure Patterns of the Elderly: Workers and Nonworkers. Monthly Labor Review.113, (5), 34-41.1990.
    • ID: http://stats.bls.gov/opub/mlr/1990/05/art4full.pdf (URL)
  • Courtless, Joan C.. Households with expenditures for apparel services. Family Economics Review.2, (4), 10-14.1989.
  • Gallaway, Lowell, Vedder, Richard. When Spending, Rich and Poor Draw Closer. Wall Street Journal.1 -1989.

Update Metadata: 2015-08-05 | Issue Number: 3 | Registration Date: 2015-06-30

United States Department of Labor. Bureau of Labor Statistics (1989): Consumer Expenditure Survey, 1986: Interview Survey. Version 1. Consumer Expenditure Survey Series. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR09113.v1