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Journal articles on the topic 'The Survey of Consumer Finances'

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Published: 4 June 2021
Last updated: 8 February 2022

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1

Kennickell, Arthur B. "Multiple imputation in the Survey of Consumer Finances." Statistical Journal of the IAOS 33, no. 1 (March 2, 2017): 143–51. http://dx.doi.org/10.3233/sji-160278.

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2

Gans, Joshua, Andrew Leigh, Martin Schmalz, and Adam Triggs. "Inequality and market concentration, when shareholding is more skewed than consumption." Oxford Review of Economic Policy 35, no. 3 (2019): 550–63. http://dx.doi.org/10.1093/oxrep/grz011.

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AbstractEconomic theory suggests that monopoly prices hurt consumers but benefit shareholders. But in a world where individuals or households can be both consumers and shareholders, the impact of market power on inequality depends in part on the relative distribution of consumption and corporate equity ownership across individuals or households. The paper calculates this distribution for the United States, using data from the Survey of Consumer Finances and the Consumer Expenditure Survey, spanning nearly three decades from 1989 to 2016. In 2016, the top 20 per cent consumed approximately as much as the bottom 60 per cent, but had 15 times as much corporate equity. Because ownership is more skewed than consumption, increased mark-ups increase inequality. Moreover, over time, corporate equity has become even more skewed relative to consumption.
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3

Kennickell, Arthur B., Martha Starr-McCluer, and Annika E. Sunden. "Family Finance in the U.S.: Recent Evidence from the Survey of Consumer Finances." Federal Reserve Bulletin 83, no. 1 (1997): 0. http://dx.doi.org/10.17016/bulletin.1997.83-1.

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4

Hanna, Sherman D., Kyoung Tae Kim, and Suzanne Lindamood. "Behind the Numbers: Understanding the Survey of Consumer Finances." Journal of Financial Counseling and Planning 29, no. 2 (November 2018): 410–18. http://dx.doi.org/10.1891/1052-3073.29.2.410.

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The Survey of Consumer Finances (SCF) is the most frequently used dataset for research in this journal, but many researchers and readers do not fully understand some of the dataset’s complex details. This article provides insight into important issues that researchers and readers need to understand to accurately conduct and interpret SCF-based research. The issues addressed include the primary economic unit versus the household, identifying the respondent versus the head, limitations of variables in the survey, imputation and implicates, shadow variables, the public dataset versus the full dataset, weighting of analyses, and the use of replicate weights.
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5

Straight, Ronald L. "Survey of Consumer Finances: Asset Accumulation Differences by Race." Review of Black Political Economy 29, no. 2 (September 2001): 67–81. http://dx.doi.org/10.1007/s12114-001-1003-7.

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6

Kennickell, Arthur B., Martha Starr-McCluer, and Brian J. Surette. "Recent Changes in U.S. Family Finances: Results from the 1998 Survey of Consumer Finances." Federal Reserve Bulletin 86, no. 1 (2000): 0. http://dx.doi.org/10.17016/bulletin.2000.86-1.

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7

Amel, Dean F., Arthur B. Kennickell, and Kevin B. Moore. "Banking Market Definition : Evidence from the Survey of Consumer Finances." Finance and Economics Discussion Series 2008, no. 35 (2008): 1–24. http://dx.doi.org/10.17016/feds.2008.35.

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8

Huston, Sandra J., Michael S. Finke, and Hyrum Smith. "A financial sophistication proxy for the Survey of Consumer Finances." Applied Economics Letters 19, no. 13 (September 2012): 1275–78. http://dx.doi.org/10.1080/13504851.2011.619485.

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9

Bhutta, Neil, Jesse Bricker, Andrew C. Chang, Lisa J. Dettling, Sarena Goodman, Joanne W. Hsu, Kevin B. Moore, Sarah Reber, Alice Henriques Volz, and Richard A. Windle. "Changes in U.S. Family Finances from 2016 to 2019: Evidence from the Survey of Consumer Finances." Federal Reserve Bulletin 106, no. 5 (September 2020): 1–42. http://dx.doi.org/10.17016/bulletin.2020.106.

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The Federal Reserve Board’s Survey of Consumer Finances for 2019 provides insights into the evolution of family income and net worth since the previous time the survey was conducted in 2016. The survey shows that over the 2016–19 period, the median value of real (inflation-adjusted) family income before taxes rose 5 percent, and mean income decreased 3 percent. Real median net worth increased 18 percent, and mean net worth rose 2 percent. This survey marks the first in the aftermath of the Great Recession in which between-survey changes in the median outpaced changes in the mean for either measure, indicating that families in large parts of both distributions enjoyed gains in economic well-being. And, while the data also reveal some disparities in the evolution of income and net worth since 2016 across families differentiated by economic characteristics, such as income or wealth, and demographic characteristics, such as age, education, or race and ethnicity, many groups with historically lower income and net worth saw relatively large gains. This article reviews these and other changes in the financial condition of U.S. families, including developments in assets, liabilities, debt payments, and credit market experiences. The findings in this article do not reflect the effects of the COVID-19 pandemic on family finances, as almost all of the data in the 2019 survey were collected before the onset of the pandemic.
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10

Coulibaly, Brahima, and Geng Li. "Choice of Mortgage Contracts : Evidence from the Survey of Consumer Finances." Finance and Economics Discussion Series 2007, no. 50 (October 2007): 1–18. http://dx.doi.org/10.17016/feds.2007.50.

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11

Thompson, Jeffrey P., and Gustavo A. Suarez. "Exploring the Racial Wealth Gap Using the Survey of Consumer Finances." Finance and Economics Discussion Series 2015, no. 76 (September 2015): 1–62. http://dx.doi.org/10.17016/feds.2015.076.

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12

Janet L. Yellen. "Perspectives on Inequality and Opportunity from the Survey of Consumer Finances." RSF: The Russell Sage Foundation Journal of the Social Sciences 2, no. 2 (2016): 44. http://dx.doi.org/10.7758/rsf.2016.2.2.02.

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13

Lyons, Angela C., and Tansel Yilmazer. "Health and Financial Strain: Evidence from the Survey of Consumer Finances." Southern Economic Journal 71, no. 4 (April 1, 2005): 873. http://dx.doi.org/10.2307/20062085.

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14

Jinjarak, Yothin, and Jie Zhou. "New Evidence on Asset Location from the Survey of Consumer Finances." Public Finance Review 39, no. 4 (April 17, 2011): 594–615. http://dx.doi.org/10.1177/1091142111403619.

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15

LINDAMOOD, SUZANNE, SHERMAN D. HANNA, and LAN BI. "Using the Survey of Consumer Finances: Some Methodological Considerations and Issues." Journal of Consumer Affairs 41, no. 2 (September 14, 2007): 195–222. http://dx.doi.org/10.1111/j.1745-6606.2007.00075.x.

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16

LINDAMOOD, SUZANNE, SHERMAN D. HANNA, and LAN BI. "Using the Survey of Consumer Finances: Some Methodological Considerations and Issues." Journal of Consumer Affairs 41, no. 2 (December 2007): 195–214. http://dx.doi.org/10.1111/j.1745-6606.2007.00075_1.x.

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17

Coulibaly, Brahima, and Geng Li. "Choice of Mortgage Contracts: Evidence from the Survey of Consumer Finances." Real Estate Economics 37, no. 4 (December 2009): 659–73. http://dx.doi.org/10.1111/j.1540-6229.2009.00259.x.

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18

DeBoer, Dale R., and Edward C. Hoang. "Inheritances and Bequest Planning: Evidence from the Survey of Consumer Finances." Journal of Family and Economic Issues 38, no. 1 (November 1, 2016): 45–56. http://dx.doi.org/10.1007/s10834-016-9509-0.

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19

Lyons, Angela C., and Tansel Yilmazer. "Health and Financial Strain: Evidence from the Survey of Consumer Finances." Southern Economic Journal 71, no. 4 (April 2005): 873–90. http://dx.doi.org/10.1002/j.2325-8012.2005.tb00681.x.

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20

Aizcorbe, Ana M., Arthur B. Kennickell, and Kevin B. Moore. "Recent Changes in U.S. Family Finances: Evidence from the 1998 and 2001 Survey of Consumer Finances." Federal Reserve Bulletin 89, no. 1 (2003): 0. http://dx.doi.org/10.17016/bulletin.2003.89-1.

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21

Bucks, Brian, Arthur B. Kennickell, and Kevin B. Moore. "Recent Changes in U.S. Family Finances: Evidence from the 2001 and 2004 Survey of Consumer Finances." Federal Reserve Bulletin 92, no. 3 (2006): 0. http://dx.doi.org/10.17016/bulletin.2006.92-3-1.

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22

Bucks, Brian, Arthur B. Kennickell, Traci L. Mach, and Kevin B. Moore. "Changes in U.S. Family Finances from 2004 to 2007: Evidence from the Survey of Consumer Finances." Federal Reserve Bulletin 95, no. 2 (2009): 0. http://dx.doi.org/10.17016/bulletin.2009.95-2.

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23

Bricker, Jesse, Arthur B. Kennickell, Kevin B. Moore, and John Edward Sabelhaus. "Changes in U.S. Family Finances from 2007 to 2010: Evidence from the Survey of Consumer Finances." Federal Reserve Bulletin 98, no. 2 (2012): 0. http://dx.doi.org/10.17016/bulletin.2012.98-2.

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24

Bricker, Jesse, Lisa J. Dettling, Alice M. Henriques, Joanne W. Hsu, Kevin B. Moore, John Edward Sabelhaus, Jeffrey P. Thompson, and Richard Windle. "Changes in U.S. Family Finances from 2010 to 2013: Evidence from the Survey of Consumer Finances." Federal Reserve Bulletin 100, no. 4 (2014): 0. http://dx.doi.org/10.17016/bulletin.2014.100-4.

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25

Bricker, Jesse, Lisa J. Dettling, Alice M. Henriques, Joanne W. Hsu, Lindsay Jacobs, Kevin B. Moore, Sarah Pack, John Edward Sabelhaus, Jeffrey P. Thompson, and Richard Windle. "Changes in U.S. Family Finances from 2013 to 2016: Evidence from the Survey of Consumer Finances." Federal Reserve Bulletin 103, no. 3 (2017): 0. http://dx.doi.org/10.17016/bulletin.2017.103-3.

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26

Avery, Robert B., Gregory E. Elliehausen, and Arthur B. Kennickell. "MEASURING WEALTH WITH SURVEY DATA: AN EVALUATION OF THE 1983 SURVEY OF CONSUMER FINANCES." Review of Income and Wealth 34, no. 4 (December 1988): 339–69. http://dx.doi.org/10.1111/j.1475-4991.1988.tb00575.x.

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27

Moore, Kevin B., and Michael G. Palumbo. "The Finances of American Households in the Past Three Recessions : Evidence from the Survey of Consumer Finances." Finance and Economics Discussion Series 2010, no. 06 (2010): 1–40. http://dx.doi.org/10.17016/feds.2010.06.

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28

Kennickell, Arthur B. "Using range techniques with CAPI in the 1995 Survey of Consumer Finances." Statistical Journal of the IAOS 33, no. 1 (March 2, 2017): 131–41. http://dx.doi.org/10.3233/sji-160283.

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29

Kennickell, Arthur B. "Interviewers and data quality: Evidence from the 2001 survey of consumer finances." Statistical Journal of the IAOS 33, no. 1 (March 2, 2017): 153–63. http://dx.doi.org/10.3233/sji-160314.

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30

Kim, Kyoung Tae, and Yoonkyung Yuh. "Financial Knowledge and Household Saving: Evidence from the Survey of Consumer Finances." Family and Consumer Sciences Research Journal 47, no. 1 (September 2018): 5–24. http://dx.doi.org/10.1111/fcsr.12270.

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31

Castronova, Edward, and Paul Hagstrom. "The Demand for Credit Cards: Evidence from the Survey of Consumer Finances." Economic Inquiry 42, no. 2 (April 2004): 304–18. http://dx.doi.org/10.1093/ei/cbh062.

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32

Kennickell, Arthur B., and Myron L. Kwast. "Who Uses Electronic Banking? Results from the 1995 Survey of Consumer Finances." Finance and Economics Discussion Series 1997, no. 35 (1997): 1–48. http://dx.doi.org/10.17016/feds.1997.35.

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33

Abbott, Brant, and Robin Brace. "Has consumption inequality mirrored wealth inequality in the Survey of Consumer Finances?" Economics Letters 193 (August 2020): 109289. http://dx.doi.org/10.1016/j.econlet.2020.109289.

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34

Shin, Su Hyun, Martin C. Seay, and Kyong Tae Kim. "Measurement of diversification between asset classes in the Survey of Consumer Finances." Economics Letters 156 (July 2017): 22–26. http://dx.doi.org/10.1016/j.econlet.2017.04.007.

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35

Perry, Vanessa Gail, and Sheila Ards. "Creditsmart© Research: A Study of Consumer Financial Knowledge and Implications for Social Marketing." Social Marketing Quarterly 8, no. 3 (September 2002): 3–16. http://dx.doi.org/10.1080/15245000214133.

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This paper describes a corporate-sponsored research effort whose goal was to help consumers obtain and maintain good credit through consumer education. Freddie Mac in collaboration with five historically Black colleges and universities (HBCUs) and three national nonprofit consumer organizations sponsored this initiative, known as CreditSmart©, which involves research, curriculum development, and outreach. In order to inform the curriculum and outreach, the authors evaluate the effectiveness of learning about finances through formal, informal, and experiential sources. They also examine whether there are ethnic or cultural differences in these effects. The proposed model of consumer financial knowledge was tested using the 1999 Consumer Credit Survey (CCS) data collected from approximately 12,000 consumers. This dataset includes a variety of questions about childhood experiences with money, financial knowledge, attitudes, and experiences, as well as assets, debts, and demographic characteristics. Findings suggest that formal training and childhood financial experiences are significant predictors of financial knowledge across the sample population as a whole, while informal, word-of-mouth sources have a significant additional impact among African-American consumers. Implications for social marketing and consumer education are discussed.
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36

Kilic, O., C. Akbay, and G. Yildiz Tiryaki. "Factors affecting packed and unpacked fluid milk consumption." Agricultural Economics (Zemědělská ekonomika) 55, No. 11 (November 20, 2009): 557–63. http://dx.doi.org/10.17221/594-agricecon.

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This article identifies consumer characteristics associated with preferences toward fluid milk alternatives. Using consumer survey data from Samsun province of Turkey and Multinomial Logit model, unpacked and packed fluid milk preferences were analyzed. Based on the results, 14.1% of respondents consumed only unpacked fluid milk, 58.2% consumed only packed fluid milk and 27.7% of respondents consumed both unpacked and packed fluid milk at least once a weak. Multinomial Logit model results indicated that better educated household head, higher income households, younger and female household head and people who agree with “unpacked milk is not healthy” consume more packed fluid milk than do others. Moreover, consumers who agree with statement “price of packed milk is expensive compare to unpacked milk” were less likely to consume packed fluid milk than do others.
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37

Bricker, Jesse, Alice Henriques, Jacob Krimmel, and John Sabelhaus. "Estimating Top Income and Wealth Shares: Sensitivity to Data and Methods." American Economic Review 106, no. 5 (May 1, 2016): 641–45. http://dx.doi.org/10.1257/aer.p20161020.

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Administrative income tax data indicate that U.S. top income and wealth shares are both substantial and larger than shares observed in household surveys. However, these estimates are sensitive to the unit of analysis, the income concept measured in tax records, and, in the case of wealth, to assumptions about the correlation between income and wealth. We constrain a household survey--the Survey of Consumer Finances--to be conceptually comparable to tax records and are able to reconcile the much of the difference between the survey and administrative estimates. Wealth estimates from administrative income tax data are sensitive to model parameters.
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38

Aizcorbe, Ana M., Martha A. Starr, and James T. Hickman. "The Replacement Demand for Motor Vehicles : Evidence from the Survey of Consumer Finances." Finance and Economics Discussion Series 2003, no. 44 (July 2003): 1–20. http://dx.doi.org/10.17016/feds.2003.44.

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39

Bergstresser, Daniel, and James Poterba. "Asset allocation and asset location: household evidence from the survey of consumer finances." Journal of Public Economics 88, no. 9-10 (August 2004): 1893–915. http://dx.doi.org/10.1016/j.jpubeco.2003.07.001.

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40

Shin, Su Hyun, and Sherman D. Hanna. "Accounting for Complex Sample Designs in Analyses of the Survey of Consumer Finances." Journal of Consumer Affairs 51, no. 2 (March 8, 2016): 433–47. http://dx.doi.org/10.1111/joca.12106.

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41

Grinstein-Weiss, Michal, Clinton Key, and Shannon Carrillo. "Homeownership, the Great Recession, and Wealth: Evidence From the Survey of Consumer Finances." Housing Policy Debate 25, no. 3 (February 24, 2015): 419–45. http://dx.doi.org/10.1080/10511482.2014.971042.

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42

Doherty Bea, Megan. "Racial and Ethnic Differences in Consumers’ Economic Expectations." Socius: Sociological Research for a Dynamic World 5 (January 2019): 237802311881527. http://dx.doi.org/10.1177/2378023118815270.

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Consumers’ expectations about the future of their own finances and the macroeconomy are used to forecast consumption, but forecasts do not typically account for differences by race and ethnicity. In this report, the author asks (1) whether there is consistent racial and ethnic variation in consumers’ economic expectations, (2) if differences can be explained by economic experiences, and (3) how the scope of expectations matters. The author uses the Survey of Consumer Finances to examine variation in the likelihood of positive national and personal economic expectations among individuals who identify as black, white, or Hispanic. The author finds that national expectations have substantial racial and ethnic variation net of economic experiences. For personal expectations, initial racial and ethnic variation in the likelihood of positive expectations disappears once economic experiences are accounted for. These findings have important implications for consumption forecasts, especially as the racial and ethnic composition of the United States changes.
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43

Poterba, James M. "Stock Market Wealth and Consumption." Journal of Economic Perspectives 14, no. 2 (May 1, 2000): 99–118. http://dx.doi.org/10.1257/jep.14.2.99.

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This paper explores the link between changes in the aggregate value of corporate stock and changes in consumer spending. It presents data on the distribution of corporate stock ownership based on the 1998 Survey of Consumer Finances. It also uses time-series evidence on the comovement of stock market wealth and various categories of consumer spending to calibrate “the wealth effect.” It concludes that in the year after a change in stock market values, consumer spending is likely to rise by between one and two cents for each dollar increase in the value of corporate stock.
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44

Kennickell, Arthur B., and Martha Starr-McCluer. "Retrospective Reporting of Household Wealth: Evidence from the 1983-1989 Survey of Consumer Finances." Journal of Business & Economic Statistics 15, no. 4 (October 1997): 452. http://dx.doi.org/10.2307/1392491.

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45

Bertaut, Carol C. "Stockholding Behavior of U.S. Households : Evidence from the 1983-89 Survey of Consumer Finances." International Finance Discussion Paper 1996, no. 558 (July 1996): 1–45. http://dx.doi.org/10.17016/ifdp.1996.558.

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46

Kennickell, Arthur B. "Wealth measurement in the survey of consumer finances: Methodology and directions for future research." Statistical Journal of the IAOS 33, no. 1 (March 2, 2017): 23–39. http://dx.doi.org/10.3233/sji-160274.

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47

Kennickell, Arthur B., and Martha Starr-McCluer. "Retrospective Reporting of Household Wealth: Evidence From the 1983–1989 Survey of Consumer Finances." Journal of Business & Economic Statistics 15, no. 4 (October 1997): 452–63. http://dx.doi.org/10.1080/07350015.1997.10524723.

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48

Pence, Karen M. "401(k)s and Household Saving : New Evidence from the Survey of Consumer Finances." Finance and Economics Discussion Series 2001, no. 06 (December 2001): 1–40. http://dx.doi.org/10.17016/feds.2002.06.

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49

Bertaut, Carol C. "Stockholding Behavior of U.S. Households: Evidence from the 1983–1989 Survey of Consumer Finances." Review of Economics and Statistics 80, no. 2 (May 1998): 263–75. http://dx.doi.org/10.1162/003465398557500.

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50

Fisher, Patti J., and Catherine P. Montalto. "Loss Aversion and Saving Behavior: Evidence from the 2007 U.S. Survey of Consumer Finances." Journal of Family and Economic Issues 32, no. 1 (April 2, 2010): 4–14. http://dx.doi.org/10.1007/s10834-010-9196-1.

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