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Deep Habits in Consumption: A Spatial Panel Analysis Using Scanner Data

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  • B. VERHELST
  • D. VAN DEN POEL

Abstract

Using scanner data from a large European retailer, this paper empirically assesses deep habit formation in consumption. Deep habit formation constitutes a possible source of price stickiness and helps to mimic procyclical labour and real wage dynamics that are present in macro data. To gauge the existence and the extent of deep habits in consumption, we estimate a dynamic timespace simultaneous model for consumption expenditure at different levels of product aggregation. This spatial panel model enables us to test for both internal and external deep habit formation at the same time. The former captures inertia or persistence in consumption, and is included in the empirical specification as a time lag. The latter captures preference interdependence across households and is captured by a spatial lag. Our results show mixed evidence with respect to internal habit formation, whereas the external habit effect is almost always positive and significant.

Suggested Citation

  • B. Verhelst & D. Van Den Poel, 2012. "Deep Habits in Consumption: A Spatial Panel Analysis Using Scanner Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/823, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:12/823
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    1. Badi H. Baltagi, 2015. "Seemingly Unrelated Regressions," Springer Texts in Business and Economics, in: Solutions Manual for Econometrics, edition 3, chapter 0, pages 233-257, Springer.
    2. Francisco Alvarez-Cuadrado & Jose Maria Casado & Jose Maria Labeaga, 2016. "Envy and Habits: Panel Data Estimates of Interdependent Preferences," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 443-469, August.
    3. Alessie, Rob & Kapteyn, Arie, 1991. "Habit Formation, Interdependent References and Demographic Effects in the Almost Ideal Demand System," Economic Journal, Royal Economic Society, vol. 101(406), pages 404-419, May.
    4. B. Verhelst & D. Van Den Poel, 2012. "Implicit Contracts and Price Stickiness: Evidence from Customer-Level Scanner Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/776, Ghent University, Faculty of Economics and Business Administration.
    5. Bart J. Bronnenberg, 2005. "Spatial models in marketing research and practice," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(4‐5), pages 335-343, July.
    6. Maarten Dossche & Freddy Heylen & Dirk Van den Poel, 2010. "The Kinked Demand Curve and Price Rigidity: Evidence from Scanner Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(4), pages 723-752, December.
    7. Punnoose Jacob, 2015. "Deep Habits, Price Rigidities, and the Consumption Response to Government Spending," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 481-510, March.
    8. Badi H. Baltagi, 2021. "Seemingly Unrelated Regressions with Error Components," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 149-155, Springer.
    9. Eric Bradlow & Bart Bronnenberg & Gary Russell & Neeraj Arora & David Bell & Sri Duvvuri & Frankel Hofstede & Catarina Sismeiro & Raphael Thomadsen & Sha Yang, 2005. "Spatial Models in Marketing," Marketing Letters, Springer, vol. 16(3), pages 267-278, December.
    10. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    11. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    12. Morten Ravn & Stephanie Schmitt-Grohé & Martín Uribe, 2006. "Deep Habits," Review of Economic Studies, Oxford University Press, vol. 73(1), pages 195-218.
    13. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.
    14. Korniotis, George M., 2010. "Estimating Panel Models With Internal and External Habit Formation," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 145-158.
    15. Nakamura, Emi & Steinsson, Jón, 2011. "Price setting in forward-looking customer markets," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 220-233.
    16. B. Verhelst & D. Van Den Poel, 2010. "Price rigidity in Europe and the US: A comparative analysis using scanner data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/684, Ghent University, Faculty of Economics and Business Administration.
    17. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    18. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    19. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    20. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    21. Denzil Fiebig & Jae Kim, 2000. "Estimation and inference in sur models when the number of equations is large," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 105-130.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Daeha Cho & Kwang Hwan Kim, 2013. "Deep Habits, Rule-of-Thumb Consumers, and Fiscal Policy," Korean Economic Review, Korean Economic Association, vol. 29, pages 305-327.
    2. Inge van den Bijgaart, 2018. "Too Slow a Change? Deep Habits, Consumption Shifts and Transitory Tax Policy," CESifo Working Paper Series 6958, CESifo.
    3. Giovanni Melina & Stefania Villa, 2014. "Fiscal Policy And Lending Relationships," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 696-712, April.
    4. Yicong Li & Qiran Zhao & Tianchang Zhai & Wei Si, 2023. "Structural transition of protein intake in urban China: Stage characteristics and driving forces," Agribusiness, John Wiley & Sons, Ltd., vol. 39(S1), pages 1559-1577, December.
    5. Tzu-Ming Liu, 2020. "Habit formation or word of mouth: What does lagged dependent variable in tourism demand models imply?," Tourism Economics, , vol. 26(3), pages 461-474, May.
    6. van den Bijgaart, Inge, 2016. "Essays in environmental economics and policy," Other publications TiSEM 298bee2a-cb08-4173-9fe1-8, Tilburg University, School of Economics and Management.
    7. van den Bijgaart, I.M., 2017. "Too slow a change? Deep habits, consumption shifts and transitory tax," Working Papers in Economics 701, University of Gothenburg, Department of Economics.
    8. Xuepin Wu & Jiru Han, 2021. "Psychological Needs, Physiological Needs and Regional Comparison Effects," Sustainability, MDPI, vol. 13(16), pages 1-21, August.

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    More about this item

    Keywords

    Deep habits; Preference interdependence; Spatial panel;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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