

   IInntteerrccoouunnttrryy LLiiffee--CCyyccllee SSaavviinnggss DDaattaa

        data(savings)

   FFoorrmmaatt::

        A data frame with 50 observations on 5 variables.

         [,1]      sr        numeric      aggregate personal savings
         [,2]      pop15     numeric      % of population under 15
         [,3]      pop75     numeric      % of population over 75
         [,4]      dpi       numeric      real per-capita disposable income
         [,5]      ddpi      numeric      % growth rate of dpi

   DDeessccrriippttiioonn::

        Under the life-cycle savings hypothesis as developed by
        Franco Modigliani, the savings ratio (aggregate per-
        sonal saving divided by disposable income is explained
        by per-capita disposable income, the percentage rate of
        change in per-capita disposable income, and two demo-
        graphic variables: the percentage of population less
        than 15 years old and the percentage of the population
        over 75 years old.  The data are averaged over the
        decade 1960-1970 to remove the business cycle or other
        short-term fluctuations.

   SSoouurrccee::

        The data were obtained from Belsley, Kuh and Welsch
        (1980).  They in turn obtained the data from Sterling
        (1977).

   RReeffeerreenncceess::

        Sterling, Arnie (1977). Unpublished BS Thesis.  Mas-
        sachusetts Institute of Technology.

        Belsley, D. A., E. Kuh and R. E. Welsch (1980).
        Regression Diagnostics.  New York: Wiley.

