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Tanja F. Blackstone, Ph.D.

Professor
Economics and Finance

EDUCATION
Ph.D.    1998  Economics                                                                                  U. of Mississippi
B.A.      1991  Labor Economics, Applied Statistics, Experimental Economics         U. of Southern Maine

PRIMARY METHODOLOGY
Dr. Blackstone specializes in quantitative research methods, including linear and non-linear regression, time series analysis, forecasting, semi-parametric estimation, and applied probability theory.

RESEARCH PROJECTS

Project Title: Military Retirement Benefits and Their Effects on DoD Defense Budget
Project Description: Statistical and experimental estimation of retirement costs under alternative policy scenarios.
Seeking Research Assistants: No
Seeking Participants:
No

Project Title: Mortgage Pricing and Race
Collaborators: K. Van Rennselaer
Project Description: This study uses New Century Financial Corporation data, the largest sub-prime mortgage lender in the USA, and examines the differences in race based lending practices.
Seeking Research Assistants:
No
Seeking Participants:
No

Project Title: Enlisted Skill Group Continuation Rates: Comparison of Model Performance
Collaborators: Ping Ying Bellamy, Navy Personnel Research, Studies, and Technology
Project Description: Estimation and comparison of two different methodological approaches for a subject of military enlisted skill groups. Validation of the methods is based on absolute error differences between forecast results and data observations.
Seeking Research Assistants: No
Seeking Participants: No

Project Title: Forecasting Sailor's Separation Subject to Multiple Structure Breaks
Collaborators: Ping Ying Bellamy, Navy Personnel Research, Studies, and Technology
Project Description: Exogenous events or structural breaks in time-series data can result in large forecasting errors. Using the Bai-Perron (BP) test, we first determine if structural breaks occur in the data. Secondly, in cases where breaks are identified we then control for breaks in the models. Thirdly, we then validate and discuss improvements in the forecast accuracy.  
Seeking Research Assistants: No
Seeking Participants: No

Project Title: Alternative Retirement Regimes: DoN Costs and Retention
Collaborators: Ping Ying Bellamy, Navy Personnel Research, Studies, and Technology; Michael McKee, Appalachian State University
Project Description: The study will use a combination of corporate and experimental data. Corporate data and existing metrics will be used to derive a baseline estimate of retirement costs. Using the rules governing the military's current retirement system, the effort will examine the extent to which changes in eligibility, duration, and level payments are likely to have on retention, end-strength, and projected retirement costs. Secondly, using a game theoretical approach, an experimental environment will be designed to capture individual preference structures and outcome decisions of varying retirement regimes, to include variations of a defined contribution plan.  
Seeking Research Assistants: No
Seeking Participants: No