Quadratic Normal Program
(Under Construction -- I will finish this page before the end of June 2003)
Quadratic Normal (QN) is a scaling
procedure that performs parametric unfolding of binary choice data. Given a
matrix of binary choices by individuals (for example, Yes or No) over a series
of Parliamentary votes, QN produces a configuration of legislators and
Cutting Planes for each roll call using a probabilistic model of choice based
upon the Quadratic Utility Function and Normally Distributed Random Error. It is
discussed in detail in:
"The Geometry of Multidimensional Quadratic Utility in Models of
Parliamentary Roll Call Voting."
Political Analysis, 9:211-226, 2001.
"Non-Parametric Unfolding of Binary Choice Data." Political
Analysis, 8:211-237, 2000.
The geometry of the roll call voting problem is discussed in detail in
the first two chapters of a book I am writing:
Examples
107th Senate
(Detailed Discussion of Input and Output Files)
95th House
Brazilian Legislature 1995-98
California Assembly 1997-98
- Example One: The 107th Senate.
- Example Two: The 95th House.
- Example Three: The Brazilian Legislature 1995-98
- Example Four: California Assembly 1997-98