Matthew Baird is an economist at the RAND Corporation, co-director of the Center for Causal Inference, and a professor at the Pardee RAND Graduate School. His research focuses primarily on understanding labor markets to improve outcomes for disadvantaged populations. Examples include a job training pipeline for underemployed workers evaluated through an RCT, an evaluation of the STEM education to STEM workforce pipeline for minorities, an evaluation of low-income minority students' access to effective teachers, the development of new methodology to evaluate disequilibrium in specialized labor markets and the implications for access to care, and an evaluation of a health provider’s location and rural and Medicaid-insured access to care.
Baird's research more generally spans the fields of labor, education, and demographics. For example, his research additionally includes evaluating the role of non-wage benefits in occupation and job transition and its relationship to inequality interventions, strategic transfers to qualify for long term care Medicaid coverage, evaluations of principal training programs and personalized learning education interventions, an analysis of for-profit college response to increases and decreases in student federal financial benefits, evaluation of minority timing of STEM major drop-outs in college, evaluating the travel labor industry in California, and development of methodology to compare the trade-offs of the number of years included when evaluating worker productivity. He assists with the American Life Panel, leading the weighting and sampling of the surveys.
Baird has a Ph.D. in economics from the University of California, Los Angeles (UCLA).