spdep (version 0.6-15)

used.cars: US 1960 used car prices

Description

The used.cars data frame has 48 rows and 2 columns. The data set includes a neighbours list for the 48 states excluding DC from poly2nb().

Usage

data(used.cars)

Format

This data frame contains the following columns:

tax.charges

taxes and delivery charges for 1955-9 new cars

price.1960

1960 used car prices by state

References

Hepple, L. W. 1976 A maximum likelihood model for econometric estimation with spatial series, in Masser, I (ed) Theory and practice in regional science, London: Pion, pp. 90-104.

Examples

# NOT RUN {
data(used.cars)
moran.test(used.cars$price.1960, nb2listw(usa48.nb))
moran.plot(used.cars$price.1960, nb2listw(usa48.nb),
  labels=rownames(used.cars))
uc.lm <- lm(price.1960 ~ tax.charges, data=used.cars)
summary(uc.lm)
lm.morantest(uc.lm, nb2listw(usa48.nb))
lm.morantest.sad(uc.lm, nb2listw(usa48.nb))
lm.LMtests(uc.lm, nb2listw(usa48.nb))
uc.err <- errorsarlm(price.1960 ~ tax.charges, data=used.cars,
  nb2listw(usa48.nb), tol.solve=1.0e-13, control=list(tol.opt=.Machine$double.eps^0.3))
summary(uc.err)
uc.lag <- lagsarlm(price.1960 ~ tax.charges, data=used.cars,
  nb2listw(usa48.nb), tol.solve=1.0e-13, control=list(tol.opt=.Machine$double.eps^0.3))
summary(uc.lag)
uc.lag1 <- lagsarlm(price.1960 ~ 1, data=used.cars,
  nb2listw(usa48.nb), tol.solve=1.0e-13, control=list(tol.opt=.Machine$double.eps^0.3))
summary(uc.lag1)
uc.err1 <- errorsarlm(price.1960 ~ 1, data=used.cars,
  nb2listw(usa48.nb), tol.solve=1.0e-13, control=list(tol.opt=.Machine$double.eps^0.3))
summary(uc.err1)
# }