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Time Spent Exercising and Obesity: An Application of Lewbel’s Instrumental Variables Method

Author

Listed:
  • Charles Courtemanche
  • Joshua C. Pinkston
  • Jay Stewart

Abstract

This paper examines the role physical activity plays in determining body mass using data from the American Time Use Survey. Our work is the first to address the measurement error that arises when time use during a single day—rather than average daily time use over an extended period—is used as an explanatory variable. We show that failing to account for day-to-day variation in activities results in the effects of time use on a typical day being understated. Furthermore, we account for the possibility that physical activity and body mass are jointly determined by implementing Lewbel’s instrumental variables estimator that exploits first-stage heteroskedasticity rather than traditional exclusion restrictions. Our results suggest that, on average, physical activity reduces body mass by less than would be predicted by simple calorie expenditure-to-weight formulas, implying compensatory behavior such as increased caloric intake.

Suggested Citation

  • Charles Courtemanche & Joshua C. Pinkston & Jay Stewart, 2020. "Time Spent Exercising and Obesity: An Application of Lewbel’s Instrumental Variables Method," Economic Working Papers 521, Bureau of Labor Statistics.
  • Handle: RePEc:bls:wpaper:521
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    10. Abrahamsson, Sara & Bütikofer, Aline & Karbownik, Krzysztof, 2023. "Swallow This: Childhood and Adolescent Exposure to Fast Food Restaurants, BMI, and Cognitive Ability," CEPR Discussion Papers 18213, C.E.P.R. Discussion Papers.
    11. Ntsiful, Enoch & Dramani, John Bosco & Adusah-Poku, Frank & Frimpong, Prince Boakye, 2024. "Effect of electricity access on the value of women’s labour and time in Ghana," World Development Perspectives, Elsevier, vol. 35(C).
    12. Roy, Soumyadip & Orazem, Peter F., 2021. "Active leisure, passive leisure and health," Economics & Human Biology, Elsevier, vol. 43(C).

    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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