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Determinants of Entertainment and Apparel Expenditures in an American Household

Author

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  • Belinda Luna-Pulido

    (University of the Incarnate Word)

  • Kruti Lehenbauer

    (University of the Incarnate Word)

Abstract

Distinct characteristics of households play an important role in the decisions made regarding expenditures. This study identifies what specific characteristics of households drive the decisions to make specific purchases such as entertainment and apparel using the Consumer Expenditure Survey Data from the Bureau of Labor Statistics (BLS, 2018) for the years 2016-17. First, we follow the log-lin regression model methodology to identify if there are clear disparities in purchasing decisions based upon the gender of the head of household (HH) and then present sub-models to identify the determinants of expenditures on apparel and entertainment for a household based upon characteristics such as income of the household, age of the head of the household, family size, number of children below age five in the household, number of earners in the household, education of the head of the household, and race and ethnicity of the head of the household as our primary independent variables. Primary model results show that there are clear differences in the determinants of total expenditures based on the sex of the head of the household. Our sub-models show that male-headed households spend more on entertainment, whereas female-headed households spend more on apparel than their counterparts.

Suggested Citation

  • Belinda Luna-Pulido & Kruti Lehenbauer, 2019. "Determinants of Entertainment and Apparel Expenditures in an American Household," Proceedings of the 12th International RAIS Conference, April 3-4, 2019 7BL, Research Association for Interdisciplinary Studies.
    • Handle: RePEc:smo:cpaper:7bl
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    References listed on IDEAS

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    3. Usman YOUSAF & Mohsin ALTAF & Noman SARWAR & Syed Ali Hassan SHAH, 2012. "Hesitancy Towards Online Shopping, A Study Of Pakistani Consumers," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 273-284, November.
    4. Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492, September.
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