Per-capita demand deposits by state and year

Description

The Demand data frame has 77 rows and 8 columns of data on per-capita demand deposits by state and year.

Format

This data frame contains the following columns:

State

an ordered factor with levels WA < FL < CA < TX < IL < DC < NY

Year

an ordered factor with levels 1949 < ...{} < 1959

d

a numeric vector of per-capita demand deposits

y

a numeric vector of permanent per-capita personal income

rd

a numeric vector of service charges on demand deposits

rt

a numeric vector of interest rates on time deposits

rs

a numeric vector of interest rates on savings and loan association shares.

grp

a dummy factor with a single level. This is used to construct crossed random effects in lme.

Source

Littel, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. (1996), SAS System for Mixed Models, SAS Institute (Data Set 1.2.4).

Feige, E. L. (1964), The Demand for Liquid Assets: A Temporal Cross-Sectional Analysis., Prentice Hall.

Examples

data(Demand)
names( Demand )
formula( Demand )
# the "grp" factor is a dummy factor with only one level.
unique( Demand$grp )
# Crossed random-effects factors have to be created by pdIdent
#  applied to the indicator variables and joined by pdBlocked.
fm1Demand <-
  lme( log(d) ~ log(y) + log(rd) + log(rt) + log(rs), data = Demand,
  random = list(grp = pdBlocked(list(pdIdent(~ State - 1),
                                     pdIdent(~ Year - 1)))))
summary( fm1Demand )        # compare to output 3.13, p. 132
VarCorr( fm1Demand )