| HMDA {AER} | R Documentation |
Home Mortgage Disclosure Act Data
Description
Cross-section data on the Home Mortgage Disclosure Act (HMDA).
Usage
data("HMDA")Format
A data frame containing 2,380 observations on 14 variables.
- deny
Factor. Was the mortgage denied?
- pirat
Payments to income ratio.
- hirat
Housing expense to income ratio.
- lvrat
Loan to value ratio.
- chist
Factor. Credit history: consumer payments.
- mhist
Factor. Credit history: mortgage payments.
- phist
Factor. Public bad credit record?
- unemp
1989 Massachusetts unemployment rate in applicant's industry.
- selfemp
Factor. Is the individual self-employed?
- insurance
Factor. Was the individual denied mortgage insurance?
- condomin
Factor. Is the unit a condominium?
- afam
Factor. Is the individual African-American?
- single
Factor. Is the individual single?
- hschool
Factor. Does the individual have a high-school diploma?
Details
Only includes variables used by Stock and Watson (2007), some of which had to be generated from the raw data.
Source
Online complements to Stock and Watson (2007).
References
Munnell, A. H., Tootell, G. M. B., Browne, L. E. and McEneaney, J. (1996). Mortgage Lending in Boston: Interpreting HMDA Data. American Economic Review, 86, 25–53.
Stock, J. H. and Watson, M. W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.
See Also
Examples
data("HMDA")
## Stock and Watson (2007)
## Equations 11.1, 11.3, 11.7, 11.8 and 11.10, pp. 387--395
fm1 <- lm(I(as.numeric(deny) - 1) ~ pirat, data = HMDA)
fm2 <- lm(I(as.numeric(deny) - 1) ~ pirat + afam, data = HMDA)
fm3 <- glm(deny ~ pirat, family = binomial(link = "probit"), data = HMDA)
fm4 <- glm(deny ~ pirat + afam, family = binomial(link = "probit"), data = HMDA)
fm5 <- glm(deny ~ pirat + afam, family = binomial(link = "logit"), data = HMDA)
## More examples can be found in:
## help("StockWatson2007")