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Does Rigidity of Prices Hide Collusion?

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  • Juan Jiménez

    ()

  • Jordi Perdiguero

    ()

Abstract

Cartel detection is one of the most basic and most complicated tasks of competition authorities. In recent years, however, variance filters have provided a fairly simple tool for rejecting the existence of price-fixing, with the added advantage that the methodology requires only a low volume of data. In this paper we analyze two aspects of variance filters: (i) the relationship that can be established between market structure and price rigidity, and (ii) the use of different benchmarks for implementing the filters. This paper addresses these two issues by applying a variance filter to a gasoline retail market that is characterized by a set of unique features. Our results confirm the positive relationship between monopoly and price rigidity, and confirm the variance filter’s ability to detect non-competitive behavior when an appropriate benchmark is used. Our findings should serve to promote the implementation of this methodology among competition authorities, albeit in the awareness that a more exhaustive complementary analysis is required. Copyright Springer Science+Business Media, LLC. 2012

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File URL: http://hdl.handle.net/10.1007/s11151-012-9337-9
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Bibliographic Info

Article provided by Springer in its journal Review of Industrial Organization.

Volume (Year): 41 (2012)
Issue (Month): 3 (November)
Pages: 223-248

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Handle: RePEc:kap:revind:v:41:y:2012:i:3:p:223-248

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Web page: http://www.springerlink.com/link.asp?id=100336

Related research

Keywords: Competition policy; Gasoline; Gibbs sampling; Variance filter; L13; L59; L71;

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Cited by:
  1. Ernest Miguélez & Rorina Moreno, 2012. "“What attracts knowledge workers? The role of space, social connections, institutions, jobs and amenities”," IREA Working Papers 201204, University of Barcelona, Research Institute of Applied Economics, revised Feb 2012.
  2. Jordi López-Tamayo & Vicente Royuela & Jordi Suriñach, 2012. "“Building a “quality in work” index in Spain”," AQR Working Papers 201204, University of Barcelona, Regional Quantitative Analysis Group, revised Feb 2012.
  3. Juan Luis Jiménez & Jordi Perdiguero, 2012. "“Mergers and difference-in-difference estimator: why firms do not increase prices?”," IREA Working Papers 201205, University of Barcelona, Research Institute of Applied Economics, revised Feb 2012.
  4. Juan Luis Jiménez & Jordi Perdiguero, 2013. "“One more lie: the ‘Monday effect’ in Spain’s retail petrol market”," IREA Working Papers 201324, University of Barcelona, Research Institute of Applied Economics, revised Dec 2013.
  5. Ana María Osorio & Catalina Bolancé & Manuela Alcañiz, 2011. "Measuring early childhood health: a composite index comparing Colombian departments," IREA Working Papers 201122, University of Barcelona, Research Institute of Applied Economics, revised Oct 2011.
  6. Belles-Sampera, Jaume & Merigó, José M. & Guillén, Montserrat & Santolino, Miguel, 2013. "The connection between distortion risk measures and ordered weighted averaging operators," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 411-420.
  7. Jordi Perdiguero & Juan Luis Jiménez, 2012. "“Policy options for the promotion of electric vehicles: a review”," IREA Working Papers 201208, University of Barcelona, Research Institute of Applied Economics, revised Mar 2012.
  8. Jordi Perdiguero, 2011. "Vertical relations and local competition: an empirical approach," IREA Working Papers 201124, University of Barcelona, Research Institute of Applied Economics, revised Dec 2011.
  9. Daniel Albalate, 2012. "“The Institutional, Economic and Social Determinants of Local Government Transparency”," IREA Working Papers 201210, University of Barcelona, Research Institute of Applied Economics, revised May 2012.

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