Price Dispersion in the Gasoline Market Chandra and Tappata (2009) - - PowerPoint PPT Presentation

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Price Dispersion in the Gasoline Market Chandra and Tappata (2009) - - PowerPoint PPT Presentation

Price Dispersion in the Gasoline Market Chandra and Tappata (2009) Beia Spiller Search Lunch Group October 2009 Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 1 / 26 Why do we see price dispersion in


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SLIDE 1

Price Dispersion in the Gasoline Market

Chandra and Tappata (2009) Beia Spiller

Search Lunch Group

October 2009

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 1 / 26

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SLIDE 2

Why do we see price dispersion in gasoline markets?

Di¤erent search protocols: Nonsequential search (Varian, 1980) Sequential search (Stahl, 1989) Di¤erent consumer types: Commuters: Nonsequential search Occasional Drivers/ Tourists: Sequential search

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 2 / 26

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SLIDE 3

Model

Homogenous good n …rms: compete on prices, constant unit production cost c unit mass of consumers: inelastic demands, valuation v λ 2 (0, 1): zero search cost consumers- Shoppers µ 2 (0, 1): search intensity

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 3 / 26

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SLIDE 4

Equilibrium

Given µ, unique symmetric NE of mixed strategies. Firms draw simultaneously from price distribution: F(p; c, v, n) = 1 (1 µ) (v p) µn (p c)

  • 1

(n1)

where: p 2

  • p = cnµ + (1 µ) v

1 + (n 1) µ , v

  • as µ !1: p* = c (competition)

as µ !0: p* = v (monopoly)

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 4 / 26

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SLIDE 5

Equilibrium

Amount of search is consistent with …rms’ pricing strategies Consumers calculate gains from search: GS = E [p pminjµ, c, v, n] =

v

Z

p

p h 1 n [1 F (p; c, v, n)]n1i dF (p; c, v, n) Gains from search is a concave function of µ (GS=0 if µ= (0,1)), and increases with number of …rms. Search costs are drawn from distribution G (si) with si 2 [0, s] Equilibrium:

  • 1. Indi¤erent consumer: GS = e

s

  • 2. Search intensity: µ = λ + G (e

s)

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 5 / 26

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SLIDE 6

Search Intensity, Price Dispersion and Number of Firms

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 6 / 26

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SLIDE 7

Search Intensity and Price Dispersion

b µ : search intensity that maximizes GS µ < b µ : (+) search intensity = ) (+) price dispersion µ > b µ : (+) search intensity = ) (-) price dispersion Any relation between search costs and price dispersion is consistent with search. Need to compare price dispersion for products with di¤erent search costs

Can identify e¤ect of number of …rms, production costs, and consumer search on price dispersion and price levels.

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 7 / 26

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SLIDE 8

Entry and Exit on GS

If search intensity is exogenous: As n increases: fraction of uninformed consumers decreases probability of being lowest price decreases ) …rms more likely to set extreme prices: price dispersion increases with n gains from low prices < gains from high prices = ) price distribution shift towards higher prices

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 8 / 26

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SLIDE 9

Entry and Exit on GS

If search intensity can change: As n increases, price dispersion increases If µ < b µ: (+) search = ) (+) price dispersion If µ > b µ: (+) search = ) (-) price dispersion, but can’t o¤set (+) e¤ect of n. However, increased search decreases price, so cannot sign total e¤ect on average prices. Final sign: relationship between average price and n is non-monotonic

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 9 / 26

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SLIDE 10

Production Costs and Price Dispersion

Holding µ constant: As costs increase, pm-p* decreases = ) …rms set higher, less dispersed prices Allowing µ to change: As costs increase, searching decreases. New equilibrium: higher and less dispersed prices

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 10 / 26

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SLIDE 11

Search Costs and Price Dispersion

Higher search costs: less shoppers; change in distribution of search costs. Di¤erent fuels have di¤erent search costs:

Premium fuels SC > Regular fuels SC

Greater SC = ) (-) µ = ) (+) Prices Price dispersion depends on initial equilibrium

  • µ Q b

µ

  • If initial equilibrium µ < b

µ: higher search costs = ) (-) dispersion If initial equilibrium µ > b µ: higher search costs = ) (+) dispersion

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 11 / 26

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SLIDE 12

Search Costs and Price Dispersion

Need to identify local equilibrium of price dispersion and search intensity

Use the di¤erence in search costs between Regular and Premium to identify equilibrium

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 12 / 26

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Data

Gasoline Data: Oil Price Information Service Daily service station data for 120,000 stations, in 4 states Station-date-fuel-type triple Costs: Spot prices from Energy Information Administration Proxy for changes in wholesale costs faced by stations

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 13 / 26

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SLIDE 14

Data

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 14 / 26

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SLIDE 15

Data

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 15 / 26

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SLIDE 16

Data

Market de…nitions: Market center: gas station reporting prices on a given date Entire market: center station plus all surrounding stations falling within a speci…ed region.

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 16 / 26

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SLIDE 17

Results: Price Dispersion and Search Intensity

Observed data: price dispersion is 43% higher for Premium Fuel than for Regular Fuel

This implies µ > b µ Thus, gasoline market is closer to a competitive outcome than monopoly Search intensity decreases price dispersion

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 17 / 26

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SLIDE 18

Temporal Price Dispersion

Consumer search models predict sales because of mixed strategies. Look at price ranking over time: sales and price dispersion would ‡ip ranking of stores. Rank reversals between stations i and j: rij = 1 T

Tij

t=1

Ifpjt > pitg >90% of all station pairs have positive rank reversals

Cheaper station charges higher price 15% of the time High average price spread, increases with rating: intensity of price competition is di¤erent across fuel types.

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 18 / 26

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SLIDE 19

Temporal Price Dispersion

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 19 / 26

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Imperfect Information and Price Dispersion

Test: is imperfect information driving observed price dispersion? Natural Experiment: compare separate stations with kitty-corner stations

  • 1. Kolmogorov-Smirnov Test: F1(r) > F2(r)

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 20 / 26

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SLIDE 21

Imperfect Information and Price Dispersion

  • 2. OLS/Quantile Regression:

rij = β0 + β1I (cornerij) + β2Xij where Xij are controls

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 21 / 26

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SLIDE 22

Results: Price Dispersion and Key Parameters

How do costs a¤ect price dispersion? PRICEDISPjt = β0 + β1MCt + β2AVPRICEjt

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 22 / 26

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SLIDE 23

Results: Price Dispersion and Key Parameters

PRICEDISPjt = β0 + β1STATEAVERAGEt + β2AVPRICEjt

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 23 / 26

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SLIDE 24

Results: Prices and Number of Firms

More …rms = ) more price dispersion Test the concavity of this relationship How do number of …rms a¤ect markup? MARKUPit = β0 + β1MCt + β2STATIONSi

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 24 / 26

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SLIDE 25

Robustness Checks

Work with cleaned prices rather than actual/raw prices

Regress prices on station FE, then run the original regression with residuals

Assign single price observation to many overlapping markets = ) correlation in regressors and error term

Run model on non-overlapping markets

Beia Spiller (Search Lunch Group) Price Dispersion in the Gasoline Market 10/09 25 / 26

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Conclusion

Price dispersion and …rms’ markups are non-monotonic functions of:

Search costs Number of …rms in market

But, only if allow consumers to adjust search intensity

Production costs:

Decrease price dispersion Decrease markups

Consumers could save 5% by shopping around for 1 mile

Sources that alleviate imperfect information will reduce prices and price dispersion

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