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Does advertising increase labour supply? Time series evidence from the UK

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  • Stuart Fraser
  • David Paton

Abstract

Wages in industrialized countries have risen considerably during the last 50 years, whereas hours worked, for manual workers at least, have decreased only marginally. In Europe, one policy response has been to attempt to protect workers from pressure to work long hours by placing legal restrictions on the amount of hours that may be worked each week. This paper examines the possibility that, in fact, observed hours may be the result of a desire of workers to work longer due to a shift in their preferences from leisure to increased consumption, caused by the huge increase in mass media advertising. A cointegrating VAR framework is used to test this hypothesis on UK time series data for both males and females from 1952 to 1997. Advertising is shown to be positively associated with hours worked for both male and female series. Causality tests indicate unidirectional causality, for males and females, from advertising to hours worked. These results suggest that the European policy response is more likely to restrict employee rather than employer discretion over hours.

Suggested Citation

  • Stuart Fraser & David Paton, 2003. "Does advertising increase labour supply? Time series evidence from the UK," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1357-1368.
    • Handle: RePEc:taf:applec:v:35:y:2003:i:11:p:1357-1368
    DOI: 10.1080/0003684032000100346
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    References listed on IDEAS

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    1. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-1393, November.
    2. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
    3. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    4. Johansen, Soren, 1995. "Identifying restrictions of linear equations with applications to simultaneous equations and cointegration," Journal of Econometrics, Elsevier, vol. 69(1), pages 111-132, September.
    5. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, Decembrie.
    6. Phillips, Peter C B, 1996. "Econometric Model Determination," Econometrica, Econometric Society, vol. 64(4), pages 763-812, July.
    7. Taylor, Lester D & Weiserbs, Daniel, 1972. "Advertising and the Aggregate Consumption Function," American Economic Review, American Economic Association, vol. 62(4), pages 642-655, September.
    8. Stephen Leybourne & Paul Newbold & Dimitrios Vougas, 1998. "Unit roots and smooth transitions," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(1), pages 83-97, January.
    9. David George, 1997. "Working Longer Hours: Pressure from the Boss or Pressure from the Marketers?," Review of Social Economy, Taylor & Francis Journals, vol. 55(1), pages 33-65.
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    Cited by:

    1. Benedetto Molinari & Francesco Turino, 2009. "Advertising, Labor Supply and the Aggregate Economy. A long run Analysis," Working Papers 09.16, Universidad Pablo de Olavide, Department of Economics.
    2. Baker Matthew J. & George Lisa M, 2010. "The Role of Television in Household Debt: Evidence from the 1950's," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-38, May.
    3. Schalembier, Benjamin & Bleys, Brent & Van Ootegem, Luc & Verhofstadt, Elsy, 2020. "How the income of others affects the life satisfaction of materialists," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 64-74.
    4. Lonnie Golden, 2009. "A Brief History of Long Work Time and the Contemporary Sources of Overwork," Journal of Business Ethics, Springer, vol. 84(2), pages 217-227, January.
    5. Benedetto Molinari & Francesco Turino, 2018. "Advertising and Aggregate Consumption: A Bayesian DSGE Assessment," Economic Journal, Royal Economic Society, vol. 128(613), pages 2106-2130, August.
    6. Tariq Mahmood, 2015. "Mediating Effect of Advertising Expenditure on Labour Productivity - A Case of Manufacturing Industries in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(1), pages 1-15.
    7. Mevlut Tatliyer & Nurullah Gur, 2022. "Individualism and Working Hours: Macro-Level Evidence," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(2), pages 733-755, January.

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