Determinants of price per ounce of cola. Cathy Schaefer, a student of mine, estimated the following regression

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Determinants of price per ounce of cola. Cathy Schaefer, a student of mine, estimated the following regression from cross-sectional data of 77 observations:

Pi = β0 + β1D1i + β2D2i + β3D3i + μi

Where

Pi = price per ounce of cola

D1i = 001 if discount store

      = 010 if chain store

      = 100 if convenience store

D2i = 10 if branded good

      = 01 if unbranded good

D3i = 0001 if 67.6 ounce (2 liter) bottle

      = 0010 if 28€“33.8 ounce bottles (33.8 oz = 1 liter)

      = 0100 if 16-ounce bottle

      = 1000 if 12-ounce can

The results were as follows:

P; = 0.0143 – 0.000004D|; + 0.0090D2; + 0.00001D3; (0.00000) (5.8125) R? = 0.6033 %3D (0.00001) (-0.3837) (0.00011) (8


The standard errors are shown only to five decimal places.
a. Comment on the way the dummies have been introduced in the model.
b. Assuming the dummy setup is acceptable, how would you interpret the results?
c. The coefficient of D3 is positive and statistically significant. How do you rationalize this result?

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Basic Econometrics

ISBN: 978-0073375779

5th edition

Authors: Damodar N. Gujrati, Dawn C. Porter

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