Marketing Budget Allocation Across Countries: The Role of International Business Cycles

Published Online:https://doi.org/10.1287/mksc.2017.1046

References

  • Ataman MB, van Heerde HJ, Mela CF (2010) The long-term effect of marketing strategy on brand sales. J. Marketing Res. 47(5):866–882.CrossrefGoogle Scholar
  • Backus DK, Kehoe PJ (1992) International evidence on the historical properties of business cycles. Amer. Econom. Rev. 82(4):864–888.Google Scholar
  • Campo K, Gijsbrechts E, Goossens T, Verhetsel A (2000) The impact of location factors on the attractiveness and optimal space shares of product categories. Internat. J. Res. Marketing 17(4):255–279.CrossrefGoogle Scholar
  • Christiano LJ, Fitzgerald TJ (2003) The band pass filter. Internat. Econom. Rev. 44(2):435–465.CrossrefGoogle Scholar
  • Crampon LJ (1966) A new technique to analyse tourist markets. J. Marketing 30(2):27–31.CrossrefGoogle Scholar
  • Crouch GI (1996) Demand elasticities in international marketing: A meta-analytic application to tourism. J. Bus. Res. 36(2):117–136.CrossrefGoogle Scholar
  • Danaher PJ, Bonfrer A, Dhar S (2008) The effect of competitive advertising interference on sales for packaged goods. J. Marketing Res. 45(2):211–225.CrossrefGoogle Scholar
  • Dekimpe MG, Peers Y, Van Heerde HJ (2016) The impact of the business cycle on service providers: Insights from international tourism. J. Service Res. 19(1):22–38.CrossrefGoogle Scholar
  • Deleersnyder B, Dekimpe MG, Sarvary M, Parker PM (2004) Weathering tight economic times: The sales evolution of consumer durables over the business-cycle. Quant. Marketing Econom. 2(4):347–383.CrossrefGoogle Scholar
  • Deleersnyder B, Dekimpe MG, Steenkamp J-BEM, Leeflang PSH (2009) The role of national culture in advertising’s sensitivity to business cycles: An investigation across categories. J. Marketing Res. 46(5):623–636.CrossrefGoogle Scholar
  • Dorfman R, Steiner PO (1954) Optimal advertising and optimal quality. Amer. Econom. Rev. 44(5):826–836.Google Scholar
  • Economist, The (2002) Special report on “back to basics.” (March 7), http://www.economist.com/node/1010280.Google Scholar
  • Edelson H (2012) Selling America abroad. New York Times (April 2). http://www.nytimes.com/2012/04/03/business/with-brand-usa-us-in-big-drive-to-attract-foreign-tourists.html.Google Scholar
  • Farris PW, West DC (2007) A fresh view of the advertising budget process. Tellis GJ, Ambler T, eds. The SAGE Handbook of Advertising (Sage Publications, Thousand Oaks, CA), 316–332.CrossrefGoogle Scholar
  • Fischer M, Albers S, Wagner N, Frie M (2011) Dynamic marketing budget allocation across countries, products, and marketing activities. Marketing Sci. 30(4):568–585.LinkGoogle Scholar
  • Gamerman D, Migon HS (1993) Dynamic hierarchical models. J. Royal Statist. Soc. Ser. B (Methodological) 55(3):629–642.Google Scholar
  • Gatignon H (1993) Marketing-mix models. Eliashberg J, Lilien GL, eds. Handbooks of Operations Research and Management Science, Marketing, Vol. 5 (North-Holland, Amsterdam), 697–732.Google Scholar
  • Gearing CE, Swart WW, Var T (1973) Determining the optimal investment policy for the tourism sector of developing countries. Management Sci. 20(4):487–497.LinkGoogle Scholar
  • Geurts MD, Ibrahim IB (1975) Comparing the Box–Jenkins approach with the exponentially smoothed forecasting model application to Hawaii tourists. J. Marketing Res. 12(2):182–188.CrossrefGoogle Scholar
  • Gielens K (2012) New products: The antidote to private label growth? J. Marketing Res. 49(3):408–423.CrossrefGoogle Scholar
  • Gordon BR, Goldfarb A, Li Y (2013) Does price elasticity vary with economic growth? A cross-category analysis. J. Marketing Res. 50(1):4–23.CrossrefGoogle Scholar
  • Greene WH (2000) Econometric Analysis, 4th ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • Hanssens DM (1980) Market response, competitive behavior and time-series analysis. J. Marketing Res. 17(4):470–485.CrossrefGoogle Scholar
  • Hanssens DM, Parsons LJ, Schultz RL (2001) Market Response Models: Econometric and Time Series Analysis, Second ed. (Kluwer Academic Publishers, Boston).Google Scholar
  • Hanssens DM, Pauwels K, Srinivasan S, Vanhuele M, Yildirim G (2014) Consumer attitude metrics for guiding marketing mix decisions. Marketing Sci. 33(4):534–550.LinkGoogle Scholar
  • Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. J. Econometrics 115(1):53–74.CrossrefGoogle Scholar
  • Kamakura WA, Du RY (2012) How economic contractions and expansions affect expenditure patterns. J. Consumer Res. 39(2):229–247.CrossrefGoogle Scholar
  • Katona G (1975) Psychological Economics (Elsevier, New York).Google Scholar
  • Kulendran N, Dwyer L (2009) Measuring the return from Australian tourism marketing expenditure. J. Travel Res. 47(3):275–284.CrossrefGoogle Scholar
  • Kumar V, Umashankar KH, Kim KH, Bhagwat Y (2014) Assessing the influence of economic and customer experience factors on service purchase behaviors. Marketing Sci. 33(5):673–692.LinkGoogle Scholar
  • Lamey L (2014) Hard economic times: A dream for discounters. Eur. J. Marketing 48(3/4):641–656.CrossrefGoogle Scholar
  • Lamey L, Deleersnyder B, Dekimpe MG, Steenkamp J-BEM (2007) How business cycles contribute to private-label success: Evidence from the United States and Europe. J. Marketing 71(1):1–15.CrossrefGoogle Scholar
  • Lamey L, Deleersnyder B, Dekimpe MG, Steenkamp J-BEM (2012) The effect of business-cycle fluctuations on private-label share: What has marketing conduct got to do with it? J. Marketing 76(1):1–19.CrossrefGoogle Scholar
  • Leone RP (1995) Generalizing what is known about temporal aggregation and advertising carryover. Marketing Sci. 14(3):G141–G150.LinkGoogle Scholar
  • Li G, Wong KKF, Song H, Witt SF (2006) Tourism demand forecasting: A time varying parameter error correction model. J. Travel Res. 45(2):175–185.CrossrefGoogle Scholar
  • Ma Y, Ailawadi LKL, Gauri DK, Grewal D (2011) An empirical investigation of the impact of gasoline prices on grocery shopping behavior. J. Marketing 75(2):18–35.CrossrefGoogle Scholar
  • Marketing Science Institute (2014) Research priorities 2014–2016. Marketing Science Institute, Cambridge, MA.Google Scholar
  • Marn MV, Roegner EV, Zawada CC (2003) The power of pricing. McKinsey Quart. 1(1):26–40.Google Scholar
  • Mazanec JA (1986) A decision support system for optimizing advertising policy of a national tourist office model outline and case study. Internat. J. Res. Marketing 3(2):63–77.CrossrefGoogle Scholar
  • Mehra YP (2001) The wealth effect in empirical life-cycle aggregate consumption equations. Federal Reserve Bank Richmond Econom. Quart. 87(2):45–68.Google Scholar
  • Neelamegham R, Chintagunta P (2004) Modeling and forecasting the sales of technology products. Quant. Marketing Econom. 2(3):195–232.CrossrefGoogle Scholar
  • Nevo A (2001) Measuring market power in the ready-to-eat cereal industry. Econometrica 69(2):307–342.CrossrefGoogle Scholar
  • Sethuraman R, Tellis GJ, Briesch R (2011) How well does advertising work? Generalizations from meta-analysis of brand advertising elasticities. J. Marketing Res. 48(3):457–471.CrossrefGoogle Scholar
  • Siems TM (2012) Branding the great recession. Financial Institution Relationship Management 1(1):1–3.Google Scholar
  • Song H, Witt SF, Li G (2009) The Advanced Econometrics of Tourism Demand (Routledge, New York).Google Scholar
  • Srinivasan R, Lilien GL, Sridhar S (2011) Should firms spend more on research and development and advertising during recessions? J. Marketing 75(3):49–65.CrossrefGoogle Scholar
  • Statistics New Zealand (2015) Tourism Satellite Account: 2015 (Statistics New Zealand, Wellington, NZ).Google Scholar
  • Steenkamp J-BEM, Fang E (2011) The impact of economic contractions on the effectiveness of R&D and advertising: Evidence from U.S. companies spanning three decades. Marketing Sci. 30(4):628–645.LinkGoogle Scholar
  • Stock JH, Watson MW (1999) Business cycle fluctuations in U.S. macroeconomic time series. Taylor J, Woodford M, eds. Handbook of Macroeconomics, Vol. 1 (North-Holland, Amsterdam), 3–64.CrossrefGoogle Scholar
  • Talay MB, Pauwels K, Seggie SH (2012) To launch or not to launch in recessions? Evidence from over 60 years of the automobile industry. MSI Report 12-109, Marketing Science Institute, Cambridge, MA.Google Scholar
  • Tellis GJ, Tellis K (2009) Research on advertising in a recession. A critical review and synthesis. J. Advertising Res. 49(3):304–327.CrossrefGoogle Scholar
  • Ter Braak A, Deleersnyder B, Geyskens I, Dekimpe MG (2013) Does private-label production by national-brand manufacturers create discounter goodwill? Internat. J. Res. Marketing 30(4):343–357.CrossrefGoogle Scholar
  • Tourism New Zealand (1992) Report of the New Zealand Tourism Board for the Period 1 November 1991 to 30 June 1992. Tourism New Zealand Library, Wellington, NZ.Google Scholar
  • Tourism New Zealand (2000) Tourism New Zealand Annual Report 1999–2000. Tourism New Zealand Library, Wellington, NZ.Google Scholar
  • Tourism New Zealand (2011) Tourism New Zealand Annual Report 2010–2011. http://www.tourismnewzealand.com/media/1534/tnz-annual-report-2010-2011.pdf.Google Scholar
  • Tull DS, Wood VR, Duhan D, Gillpatrick T, Robertson KR, Helgeson JG (1986) “Leveraged” decision making in advertising: The flat maximum principle and its implications. J. Marketing Res. 23(1):25–32.CrossrefGoogle Scholar
  • UNWTO (2013a) International tourism receipts grew by 4% in 2012 (Press release). UNWTO, Madrid.Google Scholar
  • UNWTO (2013b) UNWTO Tourism highlights 2013 edition. UNWTO, Madrid.Google Scholar
  • Van Heerde HJ, Gijsenberg MJ, Dekimpe MG, Steenkamp J-BEM (2013) Price and advertising effectiveness over the business cycle. J. Marketing Res. 50(2):177–193.CrossrefGoogle Scholar
  • West M, Harrison J (1999) Bayesian Forecasting and Dynamic Models, 2nd ed. (Springer-Verlag, New York).Google Scholar
  • Wright M (2009) A new theorem for optimizing the advertising budget. J. Advertising Res. 49(2):164–169.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.