Appendix 6A:
Logit Analysis
An ordinary linear regression equation is of the form:
Y = a + b X
Here Y is the dependent variable and X is the independent
variable. In a logit analysis the regression equation takes the form:
log (P/(1-P) = a + b log(X)
Here P is some probability, e.g. the probability of a
borrower defaulting and log is the natural logarithm.
Appendix 6B:
Home Mortgages ($
billions)
1970 292
1971 3181972 357
1973 400
1974 435
1975 474
1976 535
1977 628
1978 738
1979 856
1980 958
1981 1,030
1982 1,070
1983 1,186
1984 1,321
1985 1,526
1986 1,729
1987 1,928
1988 2,162
1989 2,387
1990 2,623
1991 2,790
1992 2,956
1993 3,115
1994 3,293
1995 3,461
1996 3,684
1997 3,919
1998 4,276
1999 4,702
2000 5,129
2001 5,681
2002 6,437
2003 7,231
2004 8,272
2005 9,387
2006 10,434
2007 11,122
2008 11,030
Board of Governors of the Federal Reserve System: Flow of
Funds Accounts of the United States
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