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Restaurant Consumption as an Economic Indicator

Author

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  • Aleksandar M. Velkoski

    (Marketing Analytics & Research, Rewards Network, Inc, 2 N. Riverside Plaza, Suite 200, Chicago, IL 60606, USA)

Abstract

This study investigates the relationship between restaurant consumption and aggregate macroeconomic activity in the USA. Using a set of 2005 chained US dollar quarterly same store sales data for restaurant consumption from Q1 2007 through Q1 2012, it empirically examines whether restaurant consumption is an aggregate macroeconomic indicator. Two categories of restaurant consumption are examined: non-incentivized spend and incentivized spend. Aggregate macroeconomic activity is measured by gross domestic product. Non-incentivized spend is found to be a procyclical coincident indicator of aggregate macroeconomic activity in the USA. Coincident indicators are comprehensive measures of economic performance that help to confirm whether a nation is prosperous or depressed. The study found no relationship between incentivized spend and aggregate macroeconomic activity.

Suggested Citation

  • Aleksandar M. Velkoski, 2015. "Restaurant Consumption as an Economic Indicator," Tourism Economics, , vol. 21(2), pages 325-339, April.
  • Handle: RePEc:sae:toueco:v:21:y:2015:i:2:p:325-339
    DOI: 10.5367/te.2013.0349
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    References listed on IDEAS

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    1. Campbell, Sean D. & Diebold, Francis X., 2009. "Stock Returns and Expected Business Conditions: Half a Century of Direct Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 266-278.
    2. Scott E. Harrington, 2009. "The Financial Crisis, Systemic Risk, and the Future of Insurance Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(4), pages 785-819, December.
    3. Tsiang, S C, 1969. "The Precautionary Demand for Money: An Inventory Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 77(1), pages 99-117, Jan./Feb..
    4. Waud, Roger N, 1975. "Net Outlay Uncertainty and Liquidity Preference as Behavior toward Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 7(4), pages 499-506, November.
    5. James H. Stock & Mark W. Watson, 2003. "How did leading indicator forecasts perform during the 2001 recession?," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 89(Sum), pages 71-90.
    6. Saul H. Hymans, 1973. "On the Use of Leading Indicators to Predict Cyclical Turning Points," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 4(2), pages 339-384.
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