Quantitative Techniques for Competition and Antitrust Analysis

Peter Davis, Eliana Garcés, Eliana Garces-Tolon

• Publisher: Princeton University Press
• Year: 2009
• Print ISBN:
  9780691142579
• eBook ISBN:
  9781400831869
• Topic: Economics
• Subtopic: Economic Theory
• Index: Economics

This book combines practical guidance and theoretical background for analysts using empirical techniques in competition and antitrust investigations. Peter Davis and Eliana Garcés show how to integrate empirical methods, economic theory, and broad evidence about industry in order to provide high-quality, robust empirical work that is tailored to the nature and quality of data available and that can withstand expert and judicial scrutiny. Davis and Garcés describe the toolbox of empirical techniques currently available, explain how to establish the weight of pieces of empirical work, and make some new theoretical contributions.


The book consistently evaluates empirical techniques in light of the challenge faced by competition analysts and academics--to provide evidence that can stand up to the review of experts and judges. The book's integrated approach will help analysts clarify the assumptions underlying pieces of empirical work, evaluate those assumptions in light of industry knowledge, and guide future work aimed at understanding whether the assumptions are valid. Throughout, Davis and Garcés work to expand the common ground between practitioners and academics.

1

The Determinants of Market Outcomes

A solid knowledge of both econometric and economic theory is crucial when designing and implementing empirical work in economics. Econometric theory provides a framework for evaluating whether data can distinguish between hypotheses of interest. Economic theory provides guidance and discipline in empirical investigations. In this chapter, we first review the basic principles underlying the analysis of demand, supply, and pricing functions, as well as the concept and application of Nash equilibrium. We then review elementary oligopoly theory, which is the foundation of many of the empirical strategies discussed in this book. Continuing to develop the foundations for high-quality empirical work, in chapter 2 we review the important elements of econometrics for investigations. Following these first two review chapters, chapters 3–10 develop the core of the material in the book. The concepts reviewed in these first two introductory chapters will be familiar to all competition economists, but it is worthwhile reviewing them since understanding these key elements of economic analysis is crucial for an appropriate use of quantitative techniques.

1.1 Demand Functions and Demand Elasticities

The analysis of demand is probably the single most important component of most empirical exercises in antitrust investigations. It is impossible to quantify the likelihood or the effect of a change in firm behavior if we do not have information about the potential response of its customers. Although every economist is familiar with the shape and meaning of the demand function, we will take the time to briefly review the derivation of the demand and its main properties since basic conceptual errors in its handling are not uncommon in practice. In subsequent chapters we will see that demand functions are critical for many results in empirical work undertaken in the competition arena.

1.1.1 Demand Functions

We begin this chapter by reviewing the basic characteristics of individual demand and the derivation of aggregate demand functions.

Figure 1.1. (Inverse) demand function.

1.1.1.1 The Anatomy of a Demand Function

An individual’s demand function describes the amount of a good that a consumer would buy as a function of variables that are thought to affect this decision such as price P_i and often income y. Figure 1.1 presents an example of an individual linear demand function for a homogeneous product: Q_i = 50 − 0.5P_i or rather for the inverse demand function, P_i = 100 − 2Q_i. More generally, we may write Q_i = D(P_i, y).¹ Inverting the demand curve to express price as a function of quantity demanded and other variables yields the “inverse demand curve” P_i = P(Q_i, y). Standard graphs of an individual’s demand curve plot the quantity demanded of the good at each level of its own price and take as a given the level of income and the level of the prices of products that could be substitutes or complements. This means that along a given plotted demand curve, those variables are fixed. The slope of the demand curve therefore indicates at any particular point by how much a consumer would reduce (increase) the quantity purchased if the price increased (decreased) while income and any other demand drivers stayed fixed.

In the example in figure 1.1, an increase in price, ΔP, of

10 will decrease the demand for the product by 5 units shown as ΔQ. The consumer will not purchase any units if the price is above 100 because at that point the price is higher than the value that the customer assigns to the first unit of the good.

One interpretation of the inverse demand curve is that it shows the maximum price that a consumer is willing to pay if she wants to buy Q_i units of the good. While a consumer may value the first unit of the good highly, her valuation of, say, the one hundredth unit will typically be lower and it is this diminishing marginal valuation which ensures that demand curves typically slope downward. If our consumer buys a unit only if her marginal valuation is greater than the price she must pay, then the inverse demand curve describes our consumer’s marginal valuation curve.

Given this interpretation, the inverse demand curve describes the difference between the customer’s valuation of each unit and the actual price paid for each unit. We call the difference between what the consumer is willing to pay for each unit and what he or she actually pays the consumer’s surplus available from that unit. For concreteness, I might be willing to pay a maximum of

10 for an umbrella if it’s raining, but may nonetheless only have to pay

5 for it, leaving me with a measure of my benefit from buying the umbrella and avoiding getting wet, a surplus of

5. At any price P_i, we can add up the consumer surplus available on all of the units consumed (those with marginal valuations above P_i) and doing so provides an estimate of the total consumer surplus if the price is P_i.

In a market with homogeneous products, all products are identical and perfectly substitutable. In theory this results in all products having the same price, which is the only price that determines the demand. In a market with differentiated products, products are not perfectly substitutable and prices will vary across products sold in the market. In those markets, the demand for any given product is determined by its price and the prices of potential substitutes. In practice, markets which look homogeneous from a distance will in fact be differentiated to at least some degree when examined closely. Homogeneity may nonetheless be a reasonable modeling approximation in many such situations.

1.1.1.2 The Contribution of Consumer Theory: Deriving Demand

Demand functions are classically derived by using the behavioral assumption that consumers make choices in a way that can be modeled as though they have an objective, to maximize their utility, which they do subject to the constraint that they cannot spend more than they earn. As is well-known to all students of microeconomic theory, the existence of such a utility function describing underlying preferences may in turn be established under some nontrivial conditions (see, for example, Mas-Colell et al. 1995, chapter 1). Maximizing utility is equivalent to choosing the most preferred bundle of goods that a consumer can buy given her wealth.

More specifically, economists have modeled a customer of type (y_i, θ_i) as choosing to maximize her utility subject to the budget constraint that her total expenditure cannot be higher than her income:

where p_j and q_j are prices and quantities of good j, u_i (q₁, q₂, q_J; θ_i) is the utility of individual i associated with consuming this vector of quantities, y_i is the disposable income of individual i, and θ_i describes the individual’s preference type. In many empirical models using this fram...

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Dedication
• Contents
• Preface
• Acknowledgments
• 1 The Determinants of Market Outcomes
• 2 Econometrics Review
• 3 Estimation of Cost Functions
• 4 Market Definition
• 5 The Relationship between Market Structure and Price
• 6 Identification of Conduct
• 7 Damage Estimation
• 8 Merger Simulation
• 9 Demand System Estimation
• 10 Quantitative Assessment of Vertical Restraints and Integration
• Conclusion
• References
• Index