\documentclass[11pt,titlepage]{article}
\usepackage[reqno]{amsmath}
\usepackage{amssymb}
\usepackage{verbatim}
\usepackage{epsf}
\usepackage{url}
\usepackage{html}
                                %\pagestyle{myheadings}
\htmladdtonavigation{
  \htmladdnormallink{%
    \htmladdimg{http://gking.harvard.edu/pics/home.gif}}
  {http://gking.harvard.edu/}}

\bodytext{ BACKGROUND="http://gking.harvard.edu/pics/temple.jpg"}
\setcounter{tocdepth}{3}
\begin{document}

This program provides a method of inferring individual behavior from
aggregate data that works in practice.  It implements the statistical
procedures, diagnostics, and graphics from the book \hlink{\emph{A
    Solution to the Ecological Inference Problem: Reconstructing
    Individual Behavior from Aggregate
    Data}}{http://gking.harvard.edu/preprints.shtml#sei} (Princeton:
Princeton University Press, 1997), by Gary King.  Please read the book
prior to trying this program (a sample chapter and other related
information is available at my \hlink{web
  site}{http://gking.harvard.edu/preprints.shtml#sei}).  Except where
indicated, all references to page, section, chapter, table, and figure
numbers in this document refer to the book.

\emph{Ecological inference}, as traditionally defined, is the process
of using aggregate (i.e., ``ecological'') data to infer discrete
individual-level relationships of interest when individual-level data
are not available.  As existing methods usually lead to inaccurate
conclusions about the empirical world, the ecological inference
\emph{problem} had been to develop a method that gives accurate
answers.  Ecological inferences are required in political science
research when individual-level surveys are unavailable (e.g., local or
comparative electoral politics), unreliable (racial politics),
insufficient (political geography), or infeasible (political history).
They are also required in numerous areas of major significance in
public policy (e.g., for applying the Voting Rights Act) and other
academic disciplines ranging from epidemiology and marketing to
sociology and quantitative history.  Most researchers using aggregate
data have encountered some form of the ecological inference problem.
\end{document}
