MagazinePrices: Magazine Prices

Description

yearly observations of 38 magazines from 1940 to 1980

number of observations : 1262

number of time-series : 41

country : United States

JEL codes: L82

Chapter : 08

Usage

data(MagazinePrices)

Arguments

Format

A dataframe containing:

year: the year
magazine: the magazine name
price: the price of the magazine in january
change: has the price changed between january of the current year and january of the following year ?
length: number of years since the previous price change
cpi: gdp deflator index
cuminf: cummulative change in inflation since the previous price change
sales: single copy sales of magazines for magazine industry
cumsales: cumulative change in magazine industry sales since previous price change
included: is the observation included in the econometric analysis ?
id: group index numbers used for the conditional logit estimation

References

Willis, Jonathan L. (2006) “Magazine Prices Revisited”, Journal of Applied Econometrics, 21(3), 337-344, 10.1002/jae.836 .

Cecchetti, Stephen G. (1986) “The Frequency of Price Adjustment, a Study of Newsstand Prices of Magazines”, Journal of Econometrics, 31, 255-274, 10.1016/0304-4076(86)90061-8 .

Examples

Run this code

# NOT RUN {
#### Example 8-3

## ------------------------------------------------------------------------
data("MagazinePrices", package = "pder")
logitS <- glm(change ~ length + cuminf + cumsales, data = MagazinePrices, 
              subset = included == 1, family = binomial(link = 'logit'))
logitD <- glm(change ~ length + cuminf + cumsales + magazine, 
              data = MagazinePrices, 
              subset = included == 1, family = binomial(link = 'logit'))
library("survival")
logitC <- clogit(change ~ length + cuminf + cumsales + strata(id), 
                 data = MagazinePrices,
                 subset = included == 1)
library("texreg")
screenreg(list(logit = logitS, "FE logit" = logitD,
"cond. logit" = logitC), omit.coef = "magazine")
# }

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