R Dataset / Package car / Greene

On this R-data statistics page, you will find information about the Greene data set which pertains to Refugee Appeals. The Greene data set is found in the car R package. You can load the Greene data set in R by issuing the following command at the console data("Greene"). This will load the data into a variable called Greene. If R says the Greene data set is not found, you can try installing the package by issuing this command install.packages("car") 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 Greene R data set. The size of this file is about 23,274 bytes.

Refugee Appeals

Description

The Greene data frame has 384 rows and 7 columns. These are cases filed in 1990, in which refugee claimants rejected by the Canadian Immigration and Refugee Board asked the Federal Court of Appeal for leave to appeal the negative ruling of the Board.

Usage

Greene

Format

This data frame contains the following columns:

judge

Name of judge hearing case. A factor with levels: Desjardins, Heald, Hugessen, Iacobucci, MacGuigan, Mahoney, Marceau, Pratte, Stone, Urie.

nation

Nation of origin of claimant. A factor with levels: Argentina, Bulgaria, China, Czechoslovakia, El.Salvador, Fiji, Ghana, Guatemala, India, Iran, Lebanon, Nicaragua, Nigeria, Pakistan, Poland, Somalia, Sri.Lanka.

rater

Judgment of independent rater. A factor with levels: no, case has no merit; yes, case has some merit (leave to appeal should be granted).

decision

Judge's decision. A factor with levels: no, leave to appeal not granted; yes, leave to appeal granted.

language

Language of case. A factor with levels: English, French.

location

Location of original refugee claim. A factor with levels: Montreal, other, Toronto.

success

Logit of success rate, for all cases from the applicant's nation.

Source

Personal communication from Ian Greene, Department of Political Science, York University.

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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