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G604 IO II Eric Rasmusen, [email protected] 11 April 2006 11 April, Tuesday. Exclusive Dealing     John Asker, "Diagnosing Foreclosure Due to Exclusive Dealing," October 14, 2004, Leonard N. Stern School of Business, NYU. Do this with overheads, not a comptuter projector. Readings.

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G604 IO II

Eric Rasmusen, [email protected]

11 April 2006

11 April, Tuesday. Exclusive Dealing     John Asker, "Diagnosing Foreclosure Due to Exclusive Dealing," October 14, 2004, Leonard N. Stern School of Business, NYU.

Do this with overheads, not a comptuter projector


Readings
Readings

  • 11 April, Tuesday. Exclusive Dealing     John Asker, "Diagnosing Foreclosure Due to Exclusive Dealing," October 14, 2004, Leonard N. Stern School of Business, NYU.


Do exclusive dealing contracts hurt the excluded firms
Do Exclusive-Dealing Contracts Hurt the Excluded Firms?

  • Brewers sell beer to distributors, who resell to retailers (e.g., grocery store chains)

  • If brewer X requires a distributor to sell only X’s beer, does brewer Y end up with a higher-cost distributor?


Suppose brewer X requires distributor G to sell only X’s beer, and brewer Y end up with a higher-cost distributor, H

  • Efficient: The exclusivity reduces G’s costs (Telser, Klein idea)

  • Inefficient: The exclusivity prevents brewer Y from using the lowest-cost distributor.


The test in words
The Test: in words X’s beer, and brewer Y end up with a higher-cost distributor, H

  • If brewer b1 is excluded from dsitributor d1, does he use an undesirable distributor, d4, while everything else stays the same?


The test
The test: X’s beer, and brewer Y end up with a higher-cost distributor, H

No Foreclosure

B1 went to d4, but there’s other shifting going on too

3: ME, d1 is now made exclusive,FORECLOSURE

b1

B1 had to go to d4, the undesirable distributor


The chicago beer market
The Chicago Beer Market X’s beer, and brewer Y end up with a higher-cost distributor, H

  • All Anheuser distributors just distribute Anheuser

  • Half of Miller distributors just distribute Miller

  • So Asker compares the Miller-exclusive and the non-Miller-exclusive markets


Distributors
Distributors X’s beer, and brewer Y end up with a higher-cost distributor, H



Identification problems how might miller exclusive markets be special
Identification Problems: How might Miller-exclusive markets be special?

  • 1. Strong dislike for beer there

  • 2. Miller exclusive distributors are the ones good at promotion

  • Foreclosure

  • Me: Is there any reason why Miller might only want low-cost distributors to be exclusives?


The data
THE DATA be special?

  • Scanner data for grocery sales, n=138,213

  • Household income and age by zip code, from the Census (Age not used, it seems)

  • Distributor areas from the Illinois govt.

  • Which deals are exclusive: vague sources

(address wrong in the paper)

http://www.gsb.uchicago.edu/kilts/research/db/dominicks/


A blp model
A BLP Model be special?

  • Each consumer type buys one unit of beer per week (everybody buys the same quantity, or zero)

  • Instruments for Price: prices lagged and led by 4 weeks

  • That’s to avoid the effect of a week’s price being high because there is a lot of advertising (unobservable) that week


Two step procedure p 17
Two-Step Procedure (p. 17) be special?

  • What if cost unobservables are correlated with demand unobservables? Example: People like Green Beer on St. Patrick’s Day, but it is costly to color the beer green.

  • Then we’d think the mark-up was higher on St. Patrick’s day (more market power), but we’d be wrong.

  • So, instrument for price using our first-step

    cost estimate

    Using a two-step procedure we need to adjust the standard errors for the extra stage error


Data be special?

  • 138,213 observations on price and sales

  • 73 brands, 12 brewers, 71 stores, 42 distributions (Table 1)

  • Consumer prices from .19 to 2.97, mean .60

  • Retailer prices from .15 to 1.11, mean .50.

  • Markups from -.34 to 2.49, mean 10 cents.

  • Market size– number of customers– is usually based on population. Here, it is number of shoppers for *any* product, or a forecast of that number.

  • Product characteristics: alcohol (4.4%), calories, serving size (keg vs. bottle). Light beer. Ice beer (see Table 5)

  • Whether there was a “promotion” or not


Blp and logit elasticity about 3 4
BLP and Logit (elasticity about 3.4) be special?

logit

Logit,IV

BLP,IV

BLP, IV

Y-variable: Market share. Note the use of small font for standard errors. Model B

isn’t rejected by C or D, using a chi-squared test for whether the het.coeffs are zero.


Promotional foreclosure simple logit
Promotional Foreclosure (simple logit) be special?

Excluded brewers

Get MORE sales!

So there is no

Foreclosure.

What is happening?

ID problem:

Excluded:

Excluded AB:


Promotional foreclosure simple logit1
Promotional Foreclosure (simple logit) be special?

All Exclusive Markets: a product sold by a distributor who only sells in markets where

Both Miller and AB use exclusive contracts.



A link to the course website be special?

http://www.rasmusen.org/g604/0.g604.htm


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