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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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    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. Aloui, Rym, 2024. "Habit formation and the government spending multiplier," Economic Modelling, Elsevier, vol. 132(C).
    6. 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.
    7. 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.
    8. 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.
    9. 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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