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Consumer Expenditure Survey, 2000: Interview Survey and Detailed Expenditure Files

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
2002-05-29
Language
English
Free Keywords
consumer behavior; consumer expenditures; consumption; household budgets; household expenditures; household income; purchasing
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, or expenditures that occur on a fairly regular basis, such as rent, utilities, or insurance premiums. 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 Detailed Expenditure Files were created from all the major expenditure sections of the Interview Survey questionnaires and contain the most detailed expenditure data from the Interview Survey. Parts 69-72 contain processing files used by the program in Part 73. Part 73, Documentation File, includes a sample program and lists all of the data file variables by start position. Part 74 is a SAS program that generates means, variances, standard errors, and coefficients of variation.
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Consumer Unit Characteristics and Income, First Quarter, 2000
    • DS2: Member Characteristics and Income, First Quarter, 2000
    • DS3: Detailed Expenditures, First Quarter, 2000
    • DS4: Income File, First Quarter, 2000
    • DS5: Consumer Unit Characteristics and Income, Second Quarter, 2000
    • DS6: Member Characteristics and Income, Second Quarter, 2000
    • DS7: Detailed Expenditures, Second Quarter, 2000
    • DS8: Income File, Second Quarter, 2000
    • DS9: Consumer Unit Characteristics and Income, Third Quarter, 2000
    • DS10: Member Characteristics and Income, Third Quarter, 2000
    • DS11: Detailed Expenditures, Third Quarter, 2000
    • DS12: Income File, Third Quarter, 2000
    • DS13: Consumer Unit Characteristics and Income, Fourth Quarter, 2000
    • DS14: Member Characteristics and Income, Fourth Quarter, 2000
    • DS15: Detailed Expenditures, Fourth Quarter, 2000
    • DS16: Income File, Fourth Quarter, 2000
    • DS17: Consumer Unit Characteristics and Income, First Quarter, 2001
    • DS18: Member Characteristics and Income, First Quarter, 2001
    • DS19: Detailed Expenditures, First Quarter, 2001
    • DS20: Income File, First Quarter, 2001
    • DS21: Major Household Appliances
    • DS22: Rented Living Quarters
    • DS23: Owned Living Quarters (Detailed Property Description)
    • DS24: Owned Living Quarters (Disposed-of Property)
    • DS25: Owned Living Quarters (Mortgage Payments)
    • DS26: Owned Living Quarters (Lump-Sum Home Equity Loans)
    • DS27: Owned Living Quarters (Line of Credit Home Equity Loans)
    • DS28: Owned Living Quarters (Ownership Costs)
    • DS29: Utilities and Fuels (Telephone Expenses)
    • DS30: Utilities and Fuels (Screening Questions)
    • DS31: Utilities and Fuels (Detailed Questions)
    • DS32: Construction, Repairs, Alterations, and Maintenance of Property (Screening Questions)
    • DS33: Construction, Repairs, Alterations, and Maintenance of Property (Job Description)
    • DS34: Appliances, Household Equipment, and Other Selected Items (Purchase of Appliances)
    • DS35: Appliances, Household Equipment, and Other Selected Items (Other Household Equipment)
    • DS36: Household Equipment Repairs and Service Contracts
    • DS37: Furniture Repair and Reupholstering
    • DS38: Home Furnishings and Related Household Items (Purchases)
    • DS39: Home Furnishings and Related Household Items (Rental or Leasing of Furniture)
    • DS40: Clothing and Sewing Materials (Clothing)
    • DS41: Clothing and Sewing Materials (Infants' Clothing, Watches, Jewelry, and Hairpieces)
    • DS42: Clothing and Sewing Materials (Sewing Materials)
    • DS43: Clothing and Sewing Materials (Clothing Services)
    • DS44: Rented and Leased Vehicles (Screening Questions)
    • DS45: Rented and Leased Vehicles (Detailed Questions for Leased Vehicles)
    • DS46: Owned Vehicles (Detailed Questions)
    • DS47: Owned Vehicles (Disposed-of Vehicles)
    • DS48: Vehicle Operating Expenses (Vehicle Maintenance and Repair)
    • DS49: Vehicle Operating Expenses (Licensing, Registration, and Inspection of Vehicles)
    • DS50: Vehicle Operating Expenses (Other Vehicle Operating Expenses)
    • DS51: Insurance Other Than Health (Detailed Questions)
    • DS52: Hospitalization and Health Insurance (Detailed Questions)
    • DS53: Hospitalization and Health Insurance (Medicare, Medicaid, and Other Plans Not Paid by CU)
    • DS54: Medical and Health Expenditures (Payments for Medical Expenses)
    • DS55: Medical and Health Expenditures (Reimbursements for Medical Expenses)
    • DS56: Educational Expenses
    • DS57: Subscriptions, Memberships, Books, and Entertainment Expenses (Subscriptions and Memberships)
    • DS58: Subscriptions, Memberships, Books, and Entertainment Expenses (Books and Entertainment Expenses)
    • DS59: Trips and Vacations (Not Fully Reimbursed)
    • DS60: Trips and Vacations (Fully Reimbursed)
    • DS61: Trips and Vacations (Trip Expenses for Non-Consumer Unit Members)
    • DS62: Trips and Vacations (Local Overnight Stays)
    • DS63: Miscellaneous Expenses
    • DS64: Expense Patterns for Food, Beverages, and Other Selected Items (Food and Beverages)
    • DS65: Expense Patterns for Food, Beverages, and Other Selected Items (Selected Services and Goods)
    • DS66: Credit Liability (Credit Balances, Second Quarter Only)
    • DS67: Credit Liability (Credit Balances, Fifth Quarter Only)
    • DS68: Credit Liability (Finance Charges, Fifth Quarter Only)
    • DS69: Aggregation File
    • DS70: Label File
    • DS71: Universal Classification Codes
    • DS72: Vehicle Make and Model
    • DS74: SAS Variance Program for Single Specified Expenditure Item
Temporal Coverage
  • Time period: 2000
Geographic Coverage
  • United States
Sampled Universe
Noninstitutional civilian population of the United States.
Sampling
National probability sample of households designed to represent the total noninstitutional civilian population.
Collection Mode
  • Starting with the 1994 collection, the Interview Survey and the Detailed Expenditure Files (EXPN) are released together in one data collection by the Bureau of Labor Statistics.

    This release includes files from the first quarter of 2001 in addition to the files containing data from interviews conducted during the four quarters of 2000.

    The codebook and data collection instrument are provided by the data producer as Portable Document Format (PDF) files and the codebook is also provided as a MSWord file.

Note
2006-01-12 All files were removed from dataset 77 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 76 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 75 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 73 and flagged as study-level files, so that they will accompany all downloads.2003-07-25 Errors were identified in the input statements for Consumer Unit Characteristics and Income (FMLY) files. Part 73, Documentation File has been corrected and replaced.2002-08-13 The data for Part 45, Rented and Leased Vehicles (Detailed Questions for Leased Vehicles), has been replaced.
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
  • 3396 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR03396.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)
  • Fisher, Jonathan D., Marchand, Joseph. Does the Retirement Consumption Puzzle Differ Across the Distribution?. Center for Economic Studies Working Papers.CES 11-09, Washington, DC: Center for Economic Studies, U.S. Census Bureau. 2011.
    • ID: http://www.ces.census.gov/index.php/ces/cespapers?down_key=101952 (URL)
  • Garner, Thesia I., Short, Kathleen S.. Identifying the poor: Poverty measurement for the U.S. from 1996 to 2005. Review of Income and Wealth.56, (2), 237-258.2010.
    • ID: 10.1111/j.1475-4991.2009.00374.x (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)
  • Pizer, William, Sanchirico, James N., Batz, Michael. Regional patterns of U.S. household carbon emissions. Climatic Change.99, (1/2), 47-63.2010.
    • ID: 10.1007/s10584-009-9637-8 (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)
  • 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.
  • Heim, Bradley T.. The effect of tax rebates on consumption expenditures: Evidence from state tax rebates. National Tax Journal.60, (4), 685-710.2007.
  • Hong, Seung-Hyun. The recent growth of the internet and changes in household-level demand for entertainment. Information Economics and Policy.19, (3-4), 304-318.2007.
    • ID: 10.1016/j.infoecopol.2007.06.004 (DOI)
  • James, Russell N., III, Sharpe, Deanna L.. Is time running out? Savings and investments of renters nearing retirement age. Financial Counseling and Planning.18, (2), 61-75.2007.
  • Johnson, David S., Parker, Jonathan A., Souleles, Nicholas S.. Household expenditure and the income tax rebates of 2001. American Economic Review.96, (5), 1589-1610.2006.
    • ID: 10.1257/aer.96.5.1589 (DOI)
  • 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.
  • Yin, Wen, DeVaney, Sharon A., Stahura, John. Determinants of household expenditure on computer hardware and software. Journal of Consumer Affairs.39, (2), 254-275.2006.
    • ID: 10.1111/j.1745-6606.2005.00014.x (DOI)
  • Sanyal, Debarshi. On the Dynamics of Household Consumption Over a Life Cycle: Theory and Evidence. Dissertation, Northern Illinois University. 2005.
  • Busch, Susan H., Jofre-Bonet, Mireia, Falba, Tracy A., Sindelar, Jody L.. Burning a hole in the budget: Tobacco spending and its crowd-out of other goods. Applied Health Economics and Health Policy.3, (4), 263-272.2004.
    • ID: 10.2165/00148365-200403040-00009 (DOI)
  • 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)
  • Salim, Juma K.. Expenditure Patterns Within an Occupational Group: Teachers and Non-Teachers. Dissertation, Texas Tech University. 2004.
  • Yin, Wen. Determinants of Households' Computer Expenditure. Dissertation, Purdue University. 2003.

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

United States Department of Labor. Bureau of Labor Statistics (2002): Consumer Expenditure Survey, 2000: Interview Survey and Detailed Expenditure Files. Version 1. Consumer Expenditure Survey Series. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR03396.v1