Merino Troncoso, Carlos (2023): Introduction to Competition Economics.
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Abstract
The book is intended to be a reference book of Competition Economics for economists, consultants and/or practitioners. It is a modern review of demand and supply estimation, market structure, merger analysis, damage estimation, welfare loss, abuse of dominance, network effects, and a math and statistics review. Faced with potential multibillion fines, and thousands of damage claims firms are hiring and paying high fees to comply, defend or claim in antitrust cases. Complex economic and statistical issues appear in most cases and all the parties involved in cases are expected to have a good knowledge of them. This book tries to cover a demand of practitioners for a compact introductory level book on this field.
Item Type: | MPRA Paper |
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Original Title: | Introduction to Competition Economics |
English Title: | Introduction to Competition Economics |
Language: | English |
Keywords: | antitrust, competition policy, merger simulation, demand estimation |
Subjects: | L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L10 - General L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L11 - Production, Pricing, and Market Structure ; Size Distribution of Firms L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L13 - Oligopoly and Other Imperfect Markets L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L16 - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change ; Industrial Price Indices L - Industrial Organization > L4 - Antitrust Issues and Policies L - Industrial Organization > L4 - Antitrust Issues and Policies > L40 - General |
Item ID: | 115999 |
Depositing User: | Mr Carlos Merino |
Date Deposited: | 14 Apr 2023 06:57 |
Last Modified: | 14 Apr 2023 06:57 |
References: | Ackerberg, D., Benkard, C. L., Berry , S., & Pakes, A. (2007). Econometric tools for analyzing market outcomes. In Handbook of econometrics (pp. 4171-4276). Elsevier. Ackerberg, L. B. (2007). Econometric Tools for Analyzing Market Outcomes. In L. E. Heckman J, The Handbook of Econometrics (Vol. 6A Chapter 63, pp. 4171-4276). Amsterdam: North-Holland. A. Charnes, W. C. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. Angrist, J. D., & Krueger, A. B. (2001). Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments. Journal of Economic Perspectives, 15(4), 69-85. Bajari, P., Nekipelov, D., & Ryan, S. P. (2015). Machine Learning Methods for Demand Estimation. American Economic Review, 105(5), 481-85. Battese, G. E. (1992). Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics. Agricultural Economics, 7(3-4), 185-208. BAUMOL, W. J. (1977). Weak invisible hand theorem on the sustainability of multiproduct natural monopoly. American Economic Review, 60, 350 -365. Belloni, A., Chernozhukov, V., & Hansen , C. (2014). High-Dimensional Methods and Inference on Structural and Treatment Effects. Journal of Economic Perspectives, 28(2), 1-23. Berry, S., Levinston , J., & Pakes, A. (1995). Automobile Prices in Market Equilibrium. Econometrica, 63(4), 841-890. Bresnahan, T. F. (1987). Competition and Collusion in the American Automobile Industry: The 1955 Price War. The Journal of Industrial Economics, 35(4), 457-482. Davis, P., & Garcés, E. (2009). Quantitative Techniques for Competition and Antitrust Analysis. Princeton University Press. Deaton, A., & Muellbauer, J. (1980). An Almost Ideal Demand System. American Economic Review, 70(3), 312-326. Christensen, L. R., & Greene, W. H. (1976, August). Economies of Scale in U.S. Electric Power Generation. The Journal of Political Economy, 84(4), 655-672. Davis, P., & Garcés, E. (2009). Quantitative Techniques for Competition and Antitrust Analysis. Princeton University Press. Evans, D. S. (1984). Test for Subadditivity of the Cost Function with an Application to the Bell System. The American Economic Review, 74(4), 615-623. Farrell, M. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120(3), 253-290. Greene, W. H. (2018). Econometric Analysis, 8th Edition. Stern School of Business, New York University. Greer, M. (2010). Electricity Cost Modelling Calculations. Academic Press. Henningsen, A. (2015). Introduction to Econometric Production Analysis with R. Collection of Lecture Notes. Department of Food and Resource Economics, University of Copenhagen. Available at http://leanpub.com/ProdEconR/ . 2. Copenhaguen: Department of Food and Resource Economics, University of Copenhagen. Available at http://leanpub.com/ProdEconR/ . James Levinsohn, A. P. (2003, Abril). Estimating Production Functions Using Inputs to Control for Unobservables. The Review of Economic Studies, 70(2), 317-341. Marschak, J. &. (1944, Jul-Oct.). Random Simultaneous Equations and the Theory of Production. Econometrica, 12(3/4), 143-205. Marshall, A. (1890). Principles Of Economics; an Introductory Volume. London: Macmillan. Mas-Collell, A., Whinston, M. D., & Green, J. (1995). Microeconomic Theory. Oxford University Press. Merino Troncoso, C. (2019). Market power and welfare loss . Retrieved from mpra.ub.uni-muenchen.de. Nerlove, M. (1961). Returns to scale in electricity supply. nstitute for mathematical studies in the social sciences. Nevo, A. (2000). A practitioner's guide to estimation of random‐coefficients logit models of demand. Journal of economics & management strategy, 9(4), 513-548. Olley, G. S. (1996). he Dynamics of Productivity in the Telecommunications Equipment Industry. Econometrica, 64(6), 1263-1297. Rasmusen, & Rasmusen, E. (2006). The BLP Method of Demand Curve Estimation in Industrial Organization. Retrieved from http://www.rasmusen.org/papers/blp-rasmusen.pdf Röller, L.-H. (1990b). Proper Quadratic Cost Functions with an Application to the Bell System.”. The REview of Economics and Statistics, 72, 202–210. Rovigatti, G. (2017). Retrieved from prodest: Production Function Estimation in R. R package.: https://cran.r-project.org/web/packages/prodest/index.html Rovigatti, G. a. (2018). Theory and practice of total-factor productivity estimation: The control function approach using Stata. The Stata Journal, 18(3), 618-662. Sheppard, R. W. (1953). Theory of Cost and Production Functions. Princeton University Press. Sraffa, P. (1926). The laws of returns under competitive conditions. The Economic Journal , 535-550. Spence, A. (1976). Product Selection, Fixed Costs, and Monopolistic Competition. Review of Economic Studies, 43(2), 217-235. Syverson, C. (2011). What Determines Productivity? Journal of Economic Literature, 49(2), 326-365. Varian, H. (2014). Big data:New tricks of Econometrics. journal of Economic Perspectives, 28(2), 3-28. Viner, J. (1932). Cost curves and supply curves. Zeitschrift für Nationalökonomie, 3(1), 23-46. Wales, W. E. (1987). Flexible Functional Forms and Global Curvature Conditions. Econometrica, 55, 43-68. Worthington, A. C. (2012). A review of frontier approaches to efficiency and productivity measurement. Griffith University, Department of Accounting, Finance and Economics, Queensland. Working, E. (1927). What Do Statistical "Demand Curves" Show? The Quarterly Journal of Economics, 212-235. Working, H. (1925, August 1925). The Statistical Determination of Demand Curves. The Quarterly Journal of Economics, 39(4), 503-543. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/115999 |