R Dataset / Package Ecdat / Somerville

On this R-data statistics page, you will find information about the Somerville data set which pertains to Visits to Lake Somerville . The Somerville data set is found in the Ecdat R package. You can load the Somerville data set in R by issuing the following command at the console data("Somerville"). This will load the data into a variable called Somerville. If R says the Somerville data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Somerville R data set. The size of this file is about 23,290 bytes.

Visits to Lake Somerville

Description

a cross-section from 1980

number of observations : 659

observation : individuals

country : United States

Usage

data(Somerville)

Format

A dataframe containing :

visits: annual number of visits to lake Somerville
quality: quality ranking score for lake Somerville
ski: engaged in water–skiing at the lake ?
income: annual household income
feeSom: annual user fee paid at lake Somerville ?
costCon: expenditures when visiting lake Conroe
costSom: expenditures when visiting lake Somerville
costHoust: expenditures when visiting lake Houston

Source

Seller, Christine, John R. Stoll and Jean–Paul Chavas (1985) “Valuation of empirical measures of welfare change : a comparison of nonmarket techniques”, Land Economics, 61(2), may, 156–175.

Gurmu, Shiferaw and Pravin K. Trivedi (1996) “ Excess zeros in count models for recreational trips”, Journal of Business and Economics Statistics, 14(4), october, 469–477.

Santos Silva, Jao M. C. (2001) “A score test for non–nested hypotheses with applications to discrete data models”, Journal of Applied Econometrics, 16(5), 577–597.

References

Journal of Business Economics and Statistics web site : http://amstat.tandfonline.com/loi/ubes20. Cameron, A.C. and Trivedi P.K. (1998) Regression analysis of count data, Cambridge University Press, http://cameron.econ.ucdavis.edu/racd/racddata.html, chapter 6.

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