Name:

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.

Variables:

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.

Link To Google Sheets:

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Columns:

Files:

License Type:

References/Notes/Attributions:

Source

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

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

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