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    Chen, Jason Li Li, Gang Wu, Doris Chenguang and Shen, Shujie 2017. Forecasting Seasonal Tourism Demand Using a Multiseries Structural Time Series Method. Journal of Travel Research, p. 004728751773719.

    Shen, Shujie Li, Gang and Song, Haiyan 2009. Effect of Seasonality Treatment on the Forecasting Performance of Tourism Demand Models. Tourism Economics, Vol. 15, Issue. 4, p. 693.

    Selvanathan, Saroja Viswanathan, Brinda Selvanathan, E. A. and Mangai, Muthu 2009. Modelling the domestic and foreign tourist arrivals to Tamil Nadu (India). Applied Economics, Vol. 41, Issue. 24, p. 3131.

    Alleyne, Dillon 2006. Can Seasonal Unit Root Testing Improve the Forecasting Accuracy of Tourist Arrivals?. Tourism Economics, Vol. 12, Issue. 1, p. 45.

    Collins, Darrian and Tisdell, Clem 2004. Outbound Business Travel Depends on Business Returns: Australian Evidence. Australian Economic Papers, Vol. 43, Issue. 2, p. 192.

    Barrios, Salvador and Lucio, Juan Jose 2003. Economic Integration and Regional Business Cycles: Evidence from the Iberian Regions*. Oxford Bulletin of Economics and Statistics, Vol. 65, Issue. 4, p. 497.

    Lim, Christine and McAleer, Michael 1999. A seasonal analysis of Malaysian tourist arrivals to Australia. Mathematics and Computers in Simulation, Vol. 48, Issue. 4-6, p. 573.

    Cubadda, Gianluca 1999. Common cycles in seasonal non-stationary time series. Journal of Applied Econometrics, Vol. 14, Issue. 3, p. 273.

    Leong, Kenneth and McAleer, Michael 1999. Testing the life-cycle permanent income hypothesis using intra-year data for Sweden. Mathematics and Computers in Simulation, Vol. 48, Issue. 4-6, p. 551.

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  • Print publication year: 1994
  • Online publication date: January 2013

6 - The economics of seasonal cycles

Summary

INTRODUCTION

Since macroeconomists first began the systematic study of aggregate data, they have grappled with the fact that most economic time series exhibit substantial seasonal variation. In general, macroeconomists abstract from this seasonal variation, both in their models of cyclical behavior and in their empirical testing of these models. This standard practice is a useful simplification if two key conditions hold. The first is that there are no interactions between seasonal cycles and business cycles: they result from different exogenous factors and different economic propagation mechanisms. The second is that there are no important welfare issues attached to seasonal fluctuations per se: optimal government policy toward seasonsals is simply to leave them alone.

The purpose of this chapter is twofold. It first summarizes recent work demonstrating that seasonal cycles and business cycles are intimately related, displaying similar stylized facts and being driven by similar economic propagation mechanisms. The essay then discusses the possible welfare implications of seasonal cycles, suggesting there is no reasonable presumption they are uninteresting from a welfare or policy perspective. Taken together, these results imply the need for a significant reorientation in economists' treatment of seasonal fluctuations. Rather than a component of the data to be adjusted away and treated as noise, seasonal fluctuations represent a key topic of economic analysis. They contain significant information about the nature of business cycles, and they require analysis in their own right because they may induce significant welfare losses.

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Advances in Econometrics
  • Online ISBN: 9781139052030
  • Book DOI: https://doi.org/10.1017/CCOL0521444594
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