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Dynamic Econometric Models

Detection of Collusion Equilibrium in an Industry with Application of Wavelet Analysis
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Detection of Collusion Equilibrium in an Industry with Application of Wavelet Analysis

Authors

  • Sylwester Bejger Nicolaus Copernicus University in Toruń
  • Joanna Bruzda Nicolaus Copernicus University in Toruń

DOI:

https://doi.org/10.12775/DEM.2011.011

Keywords

explicit and tacit collusion, supergame with a fixed structure of market shares, price variance, wavelet analysis

Abstract

In thepresent paper an attempt was made to verify the possibilities of the use of
a marker of structural changes of market price variance in the detection of trade collusion between
business players. We used the theoretical model of strategic behaviour of trade players with the assumption of exogenous and time-constant cartel quota (market shares), which justifies the application of a marker for business with specific parameters. The paper contains empirical employment of a marker for a sequence of average Lysine price on the USA market in 1990–1996.
Wavelet analysis was applied, for the first time in this context, as the econometric method for the detection of structural changes in the variance.

 

 

References

Abrantes-Metz, R., Froeb, L., Geweke, J., Taylor, C. (2006), A variance screen for collusion, International Journal of Industrial Organization 24, 467–486

Athey, S., Bagwell, K., Sanchirico, C. (2004), Collusion and price rigidity, Review of Economic Studies, 71, 317–349.

Bejger, S. (2010), Collusion and seasonality of market price – a case of fixed market shares, Business and Economic Horizons, vol 2, 48–59.

Bejger, S. (2009), Econometric tools for collusion detection, AUNC Ekonomia XXXIX, 125–132.

Bolotova, Y., Connor, J. M., Miller, D. J. (2008), The impact of collusion on price behavior: Empirical results from two recent cases, International Journal of Industrial Organization 26, 1290–1307.

Connor, J. (2001), Our customers are our enemies”: the lysine cartel of 1992–1995, Review of Industrial Organization, 18, 5–21.

Connor, J. (2000), Archer Daniels Midland: Price-fixer to the World, Staff paper No. 00-11, Department of Agricultural Economics, Purdue University, West Lafayette, IN.

Daubechies, I. (1992), Ten Lectures on Wavelets, SIAM, Philadelphia.

Gençay, R. F., Selçuk, F., Whitcher, B. (2002), An Introduction to Wavelets and Other Filtering Methods in Finance and Economics, Academic Press, San Diego.

Harrington, J. E. (2005), Detecting cartels, Working Paper, John Hopkins University.

Inclán, C., Tiao, G. C. (1994), Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance, Journal of the American Statistical Association, 89, 913–923.

Percival, D. B., Walden, A. T. (2000), Wavelet Methods for Time Series Analysis, Cambridge University Press, Cambridge.

West, K. D., Cho, D. (1995), The Predictive Ability of Several Models of Exchange Rate Volatility, Journal of Econometrics, 69, 367–391.

Whitcher, B. (1998), Assessing Nonstationary Time Series Using Wavelets, PhD thesis, University of Washington.

Whitcher, B., Byers, S. D., Guttorp, P., Percival, D. B. (2002), Testing for Homogeneity of Variance in Time Series: Long Memory, Wavelets and the Nile River, Water Resources Research, 38 , 1054–1070.

Whitcher, B., Guttorp, P., Percival, D. B. (2000), Multiscale Detection and Location of Multiple Variance Changes in the Presence of Long Memory, Journal of Statistical Computation and Simulation, 68, 65–88.

Dynamic Econometric Models

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Published

2011-12-10

How to Cite

1.
BEJGER, Sylwester and BRUZDA, Joanna. Detection of Collusion Equilibrium in an Industry with Application of Wavelet Analysis. Dynamic Econometric Models. Online. 10 December 2011. Vol. 11, pp. 155-170. [Accessed 6 July 2025]. DOI 10.12775/DEM.2011.011.
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Vol. 11 (2011)

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The journal provides an Open Access to its content based on the non-exclusive licence Creative Commons (CC BY-ND 4.0).

To enable the publisher to disseminate the author's work to the fullest extent, the author must agrees to the terms and conditions of the License Agreement with Nicolaus Copernicus University.

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