IDEAS home Printed from https://ideas.repec.org/p/wyi/wpaper/002487.html
   My bibliography  Save this paper

Revisiting Evidence on Habits and Heterogeneity in Demands

Author

Listed:
  • Markus Fritsch
  • Andrew Adrian Pua
  • Joachim Schnurbus

Abstract

We conduct a narrow replication of Browning and Collado (Journal of Applied Econometrics 2007; 22(3): 625–640). They estimate a linear panel AR(1) version of an Engel curve for six consumption composites using iterated GMM. We find that the coefficient estimates and standard errors differ from the reported results when we use their instrument set; in particular, we find habit formation in non-durable services and no state dependence in small durables. Despite finding evidence for weak instruments, our results support most of the claims made in the original paper and we are unable to detect intertemporal dependence strong enough to resolve existing macro puzzles.

Suggested Citation

  • Markus Fritsch & Andrew Adrian Pua & Joachim Schnurbus, 2019. "Revisiting Evidence on Habits and Heterogeneity in Demands," Working Papers 2019-07-09, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    • Handle: RePEc:wyi:wpaper:002487
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    4. Arellano, Manuel & Hansen, Lars Peter & Sentana, Enrique, 2012. "Underidentification?," Journal of Econometrics, Elsevier, vol. 170(2), pages 256-280.
    5. Sebastian Kripfganz, 2019. "Generalized method of moments estimation of linear dynamic panel-data models," London Stata Conference 2019 17, Stata Users Group.
    6. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    7. Giles, David E. A., 1984. "Instrumental variables regressions involving seasonal data," Economics Letters, Elsevier, vol. 14(4), pages 339-343.
    8. Lawrence J. Christiano & Michele Boldrin & Jonas D. M. Fisher, 2001. "Habit Persistence, Asset Returns, and the Business Cycle," American Economic Review, American Economic Association, vol. 91(1), pages 149-166, March.
    9. M. Dolores Collado & Martin Browning, 2007. "Habits and heterogeneity in demands: a panel data analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 625-640.
    10. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    11. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2019. "Revisiting habits and heterogeneity in demands," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-78-19, University of Passau, Faculty of Business and Economics.
    2. Fotis, Panagiotis & Karkalakos, Sotiris & Asteriou, Dimitrios, 2017. "The relationship between energy demand and real GDP growth rate: The role of price asymmetries and spatial externalities within 34 countries across the globe," Energy Economics, Elsevier, vol. 66(C), pages 69-84.
    3. Shokoohi, Zeinab & Saghaian, Sayed, 2022. "Nexus of energy and food nutrition prices in oil importing and exporting countries: A panel VAR model," Energy, Elsevier, vol. 255(C).
    4. Alfonso Mendoza-Velázquez & Luis Carlos Ortuño-Barba & Luis David Conde-Cortés, 2022. "Corporate governance and firm performance in hybrid model countries," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 21(1), pages 32-58, February.
    5. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    6. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    7. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    8. Blundell, Richard & Bond, Stephen, 2023. "Reprint of: Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 234(S), pages 38-55.
    9. José María ARRANZ & Carlos GARCÍA SERRANO & Virginia HERNANZ, 2013. "Active labour market policies in Spain: A macroeconomic evaluation," International Labour Review, International Labour Organization, vol. 152(2), pages 327-348, June.
    10. W.N.W Azman‐Saini & Peter Smith, 2011. "Finance And Growth: New Evidence On The Role Of Insurance," South African Journal of Economics, Economic Society of South Africa, vol. 79(2), pages 111-127, June.
    11. Yoshitsugu Kitazawa, 2003. "Dynamic Panel Data Model and Moment Generating Function," Discussion Papers 13, Kyushu Sangyo University, Faculty of Economics.
    12. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    13. Elya Nabila Abdul Bahri & Abu Hassan Shaari Md Nor & Tamat Sarmidi & Nor Hakimah Haji Mohd Nor, 2019. "The Role of Financial Development in the Relationship Between Foreign Direct Investment and Economic Growth: A Nonlinear Approach," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-32, June.
    14. Schneider, Sophie Therese, 2018. "North-South trade agreements and the quality of institutions: Panel data evidence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 27-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    15. Sylvester C. W. Eijffinger & Benedikt Goderis, 2008. "The Effect of Monetary Policy on Exchange Rates during Currency Crises: the Role of Debt, Institutions, and Financial Openness," Review of International Economics, Wiley Blackwell, vol. 16(3), pages 559-575, August.
    16. Baumann Robert & Engelhardt Bryan & Matheson Victor A., 2012. "Employment Effects of the 2002 Winter Olympics in Salt Lake City, Utah," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 308-317, June.
    17. Robertson, Donald & Sarafidis, Vasilis, 2015. "IV estimation of panels with factor residuals," Journal of Econometrics, Elsevier, vol. 185(2), pages 526-541.
    18. Piotr Gretszel & Henryk Gurgul & £ukasz Lach & Stefan Schleicher, 2020. "Testing for the economic and environmental impacts of EU Emissions Trading System: A panel GMM approach," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 21(2), pages 99-125.
    19. Joan Costa-Font & Cristina Vilaplana-Prieto, 2023. "‘Investing’ in care for old age? An examination of long-term care expenditure dynamics and its spillovers," Empirical Economics, Springer, vol. 64(1), pages 1-30, January.
    20. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wyi:wpaper:002487. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: WISE Technical Team (email available below). General contact details of provider: https://www.wise.xmu.edu.cn/english/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.