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Long-run labour flexibility in hospitality: A dynamic common correlated effects approach

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  • Fikru Kefyalew Alemayehu

    (University of Stavanger, Norway)

  • Sigbjørn Landazuri Tveteraas

    (University of Stavanger, Norway)

Abstract

Matching staff level to demand is a key lever for utilizing resources efficiently and raising productivity in hospitality. The aim of the current study is to measure the long-run labour flexibility – that is – how quickly labour adjust to demand changes. We estimate the short and long-run labour flexibility at the firm and department levels of hospitality organizations. To account for endogeneity, unobserved heterogeneity and unobserved common shocks, we used the dynamic common correlated effects model on daily performance data of 94 hotels and restaurants from Norway over 12 years, but with gaps. We found that these hotels and restaurants operated at suboptimal levels in the long run. The findings suggest that the organizations can enhance labour flexibility in each department and, in particular, in food and beverages.

Suggested Citation

  • Fikru Kefyalew Alemayehu & Sigbjørn Landazuri Tveteraas, 2020. "Long-run labour flexibility in hospitality: A dynamic common correlated effects approach," Tourism Economics, , vol. 26(4), pages 704-718, June.
  • Handle: RePEc:sae:toueco:v:26:y:2020:i:4:p:704-718
    DOI: 10.1177/1354816619864802
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    as
    1. Gronroos, Christian & Ojasalo, Katri, 2004. "Service productivity: Towards a conceptualization of the transformation of inputs into economic results in services," Journal of Business Research, Elsevier, vol. 57(4), pages 414-423, April.
    2. Caballero, Ricardo J. & Cowan, Kevin N. & Engel, Eduardo M.R.A. & Micco, Alejandro, 2013. "Effective labor regulation and microeconomic flexibility," Journal of Development Economics, Elsevier, vol. 101(C), pages 92-104.
    3. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    4. Tom Fangyun Tan & Serguei Netessine, 2014. "When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity," Management Science, INFORMS, vol. 60(6), pages 1574-1593, June.
    5. Alejandro Cuñat & Marc J. Melitz, 2012. "Volatility, Labor Market Flexibility, And The Pattern Of Comparative Advantage," Journal of the European Economic Association, European Economic Association, vol. 10(2), pages 225-254, April.
    6. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    7. Jan Ditzen, 2018. "Estimating dynamic common-correlated effects in Stata," Stata Journal, StataCorp LP, vol. 18(3), pages 585-617, September.
    8. Saravanan Kesavan & Bradley R. Staats & Wendell Gilland, 2014. "Volume Flexibility in Services: The Costs and Benefits of Flexible Labor Resources," Management Science, INFORMS, vol. 60(8), pages 1884-1906, August.
    9. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    10. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    11. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    12. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
    13. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    14. Barbara J. Craig & Philip G. Pardey, 1996. "Productivity Measurement in the Presence of Quality Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1349-1354.
    15. Michael Riley & Edith Szivas, 2009. "The Valuation of Skill and the Configuration of HRM," Tourism Economics, , vol. 15(1), pages 105-120, March.
    16. Romina Giuliano & Stephan Kampelmann & Benoît Mahy & François Rycx, 2017. "Short Notice, Big Difference? The Effect of Temporary Employment on Firm Competitiveness across Sectors," British Journal of Industrial Relations, London School of Economics, vol. 55(2), pages 421-449, June.
    17. Jeroen Klijs & Jack Peerlings & Wim Heijman, 2017. "Introducing labour productivity changes into models used for economic impact analysis in tourism," Tourism Economics, , vol. 23(3), pages 561-576, May.
    18. Park, Sangwon & Yaduma, Natina & Lockwood, Andrew J. & Williams, Allan M., 2016. "Demand fluctuations, labour flexibility and productivity," Annals of Tourism Research, Elsevier, vol. 59(C), pages 93-112.
    19. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    20. A. Georges Assaf & Frank W. Agbola, 2011. "Modelling the Performance of Australian Hotels: A DEA Double Bootstrap Approach," Tourism Economics, , vol. 17(1), pages 73-89, February.
    21. Chiang-Ming Chen & Yu-Chen Lin & Yu-Hsun Liao, 2014. "Research Note: Revenue and Labour Demand in the Hotel Industry: An Investigation of Endogeneity," Tourism Economics, , vol. 20(2), pages 439-446, April.
    22. Rogelio Oliva & John D. Sterman, 2001. "Cutting Corners and Working Overtime: Quality Erosion in the Service Industry," Management Science, INFORMS, vol. 47(7), pages 894-914, July.
    23. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    24. Nathan McLellan, 2004. "Measuring Productivity using the Index Number Approach: An Introduction," Treasury Working Paper Series 04/05, New Zealand Treasury.
    25. Dreyer, Bent & Gronhaug, Kjell, 2004. "Uncertainty, flexibility, and sustained competitive advantage," Journal of Business Research, Elsevier, vol. 57(5), pages 484-494, May.
    26. Krishnan S. Anand & M. Faz{i}l Paç & Senthil Veeraraghavan, 2011. "Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services," Management Science, INFORMS, vol. 57(1), pages 40-56, January.
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    Cited by:

    1. Alemayehu, Fikru K. & Kumbhakar, Subal C. & Landazuri Tveteraas, Sigbjørn, 2022. "Estimation of staff use efficiency: Evidence from the hospitality industry," Technological Forecasting and Social Change, Elsevier, vol. 178(C).

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