• This course will focus on econometric methods that are suitable for conducting policy analysis where the outcome of interest is measured categorically.  Traditional (OLS) methods are often unsuited for the analysis of such variables because many OLS regression assumptions can be violated when analyzing such categorical variables.  Examples include assessing the effectiveness of a training program with employment as the policy outcome, studying the impact of welfare reform policies on birth and abortion behavior, assessment of choice behavior where the choice set includes more than two alternatives that may be ordered or unordered. While theoretical and statistical underpinnings of these categorical data analytic methods will be discussed in class, emphasis will be placed on actual application of a variety of these statistical methods to issues and problems faced in the social/behavioral sciences.