HMDA {AER} | R Documentation |
Cross-section data on the Home Mortgage Disclosure Act (HMDA).
data("HMDA")
A data frame containing 2,380 observations on 14 variables.
Factor. Was the mortgage denied?
Payments to income ratio.
Housing expense to income ratio.
Loan to value ratio.
Factor. Credit history: consumer payments.
Factor. Credit history: mortgage payments.
Factor. Public bad credit record?
1989 Massachusetts unemployment rate in applicant's industry.
Factor. Is the individual self-employed?
Factor. Was the individual denied mortgage insurance?
Factor. Is the unit a condominium?
Factor. Is the individual African-American?
Factor. Is the individual single?
Factor. Does the individual have a high-school diploma?
Only includes variables used by Stock and Watson (2007), some of which had to be generated from the raw data.
Online complements to Stock and Watson (2007).
http://wps.aw.com/aw_stock_ie_2
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.
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")