IDEAS home Printed from https://ideas.repec.org/p/cem/doctra/869.html

Competition and product diferentiation in the argentine chocolate bar industry

Author

Listed:
  • Germán Coloma

Abstract

This paper analyzes the behavior of the Argentine chocolate bar industry during the period 2019-2022. It mainly focuses on the level of competition between the firms in the industry, estimating conduct parameters that signal the existence of harder or softer competition. The estimations change considerably under different demand specifications, and also if we explicitly model product differentiation at the level of the supplying firms. This allows discarding extreme hypotheses such as perfect competition and collusion, and it slightly favors the existence of quantity (Cournot) competition over price (Bertrand) competition.

Suggested Citation

  • Germán Coloma, 2024. "Competition and product diferentiation in the argentine chocolate bar industry," CEMA Working Papers: Serie Documentos de Trabajo. 869, Universidad del CEMA.
    • Handle: RePEc:cem:doctra:869
    as

    Download full text from publisher

    File URL: https://ucema.edu.ar/sites/default/files/2024-05/dt869.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    2. Germán Coloma, 2023. "Demand estimation and market definition in quality-differentiated products: The case of beer in Argentina," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 48-64.
    3. Perloff,Jeffrey M. & Karp,Larry S. & Golan,Amos, 2007. "Estimating Market Power and Strategies," Cambridge Books, Cambridge University Press, number 9780521011143, January.
    4. Coloma, German, 2009. "Estimation of Demand Systems Based on Elasticities of Substitution," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(01-2), pages 1-18, March.
    5. Steven Puller, 2009. "Estimation of competitive conduct when firms are efficiently colluding: addressing the Corts critique," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1497-1500.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Germán Coloma, 2025. "Market definition through demand-and-supply estimations, with an application to the Argentine dishwashing detergent industry," CEMA Working Papers: Serie Documentos de Trabajo. 913, Universidad del CEMA.

    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. Levent Kutlu & Robin C. Sickles, 2017. "Measuring market power when firms price discriminate," Empirical Economics, Springer, vol. 53(1), pages 287-305, August.
    2. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    3. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Correction to: Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3093-3093, December.
    4. Devin Garcia & Levent Kutlu & Robin C. Sickles, 2022. "Market Structures in Production Economics," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 13, pages 537-574, Springer.
    5. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    6. Kutlu, Levent & Sickles, Robin C., 2012. "Estimation of market power in the presence of firm level inefficiencies," Journal of Econometrics, Elsevier, vol. 168(1), pages 141-155.
    7. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    8. Mustafa U. Karakaplan & Levent Kutlu, 2019. "Estimating market power using a composed error model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 489-510, September.
    9. Germán Coloma, 2025. "Market definition through demand-and-supply estimations, with an application to the Argentine dishwashing detergent industry," CEMA Working Papers: Serie Documentos de Trabajo. 913, Universidad del CEMA.
    10. Luis Orea & Jevgenijs Steinbuks, 2018. "Estimating Market Power In Homogenous Product Markets Using A Composed Error Model: Application To The California Electricity Market," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1296-1321, April.
    11. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    12. Andreas Nastansky, 2025. "Einfluss der Vermögenspreise auf die Gewinne im deutschen Bankensektor: Eine ökonometrische Analyse," Statistische Diskussionsbeiträge 60, Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät.
    13. Ghosh, Soumya Kanti & Nath, Hiranya K., 2023. "What determines private and household savings in India?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 639-651.
    14. Hovhannisyan, Vardges & Stiegert, Kyle W. & Bozic, Marin, 2013. "On Endogeneity Of Retail Market Power In An Equilibrium Analysis: A Control Function Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149830, Agricultural and Applied Economics Association.
    15. Chudik, Alexander & Pesaran, M. Hashem, 2019. "Mean group estimation in presence of weakly cross-correlated estimators," Economics Letters, Elsevier, vol. 175(C), pages 101-105.
    16. Francisco Paulo Filho & Nicolino Trompieri Neto & Ivan Castelar & Cristiano da Costa da Silva & Pablo Urano de Carvalho Castelar, 2025. "Have Agricultural Derivatives and International Trade Boost the Brazilian Agricultural Sector? Empirical Evidence via Long-Run Non-Causality Test," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 17(8), pages 1-36, August.
    17. Francisco Javier Forcadell & Fernando Úbeda, 2022. "Individual entrepreneurial orientation and performance: the mediating role of international entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 875-900, June.
    18. Emmanuel Anyigbah & Yusheng Kong & Bless Kofi Edziah & Ahotovi Thomas Ahoto & Wilhelmina Seyome Ahiaku, 2023. "Board Characteristics and Corporate Sustainability Reporting: Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    19. Nico Knuth & Andreas Nastansky, 2025. "Anwendung von Deep Learning in der Prognose der Volatilität des DAX: Ein Vergleich der Prognosegüte von GARCH und LSTM," Statistische Diskussionsbeiträge 59, Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät.
    20. Bowei Guo & Giorgio Castagneto Gissey, 2019. "Cost Pass-through in the British Wholesale Electricity Market: Implications of Brexit and the ETS reform," Working Papers EPRG1937, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cem:doctra:869. 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: Lucila Solla (email available below). General contact details of provider: https://edirc.repec.org/data/cemaaar.html .

    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.