Kevin Brabazon
Adjunct Assistant Professor of Public Administration

Kevin Brabazon, PhD is an Adjunct Assistant Professor of Public Administration at NYU Wagner, and an Adjunct Associate Professor in the Leonard N. Stern School of Business. He is also a lecturer in gerontology at La Guardia College, City University of New York. He received his MPA and PhD from Wagner. 

Dr. Brabazon provides a variety of consulting services to not-for-profit organizations, including survey and data analysis, data management, evaluations, and program development. He has a special interest in intergenerational services and, as a consultant to the Brookdale Foundation, developed a national network of services for grandparents and other relatives raising grandchildren. He is the author of a number of publications in the intergenerational field - most recently a reprint of the book, "Intergenerational Approaches in Aging", published by the Haworth Press - and has been president of the New York State Intergenerational Network since 1991.

Semester Course
Spring 2013 PADM-GP.2902.003 Multiple Regression and Intro to Econometrics

Multiple regression is the core statistical technique used by policy and finance analysts in their work. In this course, you will learn how to use and interpret this critical statistical technique. Specifically you will learn how to evaluate whether regression coefficients are biased, whether standard errors (and thus t statistics) are valid, and whether regressions used in policy and finance studies support causal arguments.

In addition, using a number of different datasets, you will compute the statistics discussed in class using a statistical computer package, and you will see how the results reflect the concepts discussed in class. If you choose, you can do a larger data and regression project in a team.

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Fall 2009 CORE-GP.1011.012 Statistical Methods for Public, Nonprofit, and Health Management

This course introduces students to basic statistical methods and their application to management, policy,
and financial decision-making. The course covers the essential elements of descriptive statistics,
univariate and bivariate statistical inference, and introduces multivariate analysis. In addition to
covering statistical theory the course emphasizes applied statistics and data analysis, using the software package, SPSS.

The course has several "audiences" and goals. For all Wagner students, the course develops basic skills
and encourages a critical approach to reviewing statistical findings and using statistical reasoning in
decision making. For those planning to continue studying statistics (often those in policy and finance
concentrations) this course additionally provides the foundation for that further work.

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