Claudia González Martínez

Dr. González Martínez has 18 years of experience consulting on economic issues in labor and healthcare.  Ten of these 18 years were spent working as a U.S. Federal Government contractor. She has led and managed diverse engagements for the U.S. Department of Health and Human Services (HHS) Centers for Medicare & Medicaid Services (CMS), the Chief Evaluation Office of the U.S. Department of Labor (DOL), and the US Department of Treasury’s Debt Management Services (DMS).

In the area of labor and employment, Dr. González Martínez has evaluated claims of discrimination based on gender, national origin, race, age, and disability with respect to a wide variety of employment practices including salary, total compensation, promotions, bonuses, performance ratings, hiring, dismissals, layoffs, and overtime. She has consulted on a wide range of additional employment issues, including claims under the Fair Labor Standards Act (FLSA), the National Labor Relations Act (NLRA), and related state laws.

In healthcare, Dr. González Martínez has focused on (1) impact and program evaluations for several Medicare and Medicaid related federal and state programs; (2) potential anti-competitive and quality of service consequences of hospital mergers, hospital-insurance mergers, and insurance mergers for several geographical markets; (3) Healthcare fraud and anti-kickback statute analyses; and (4) the pharmaceutical industry and its pricing policies and schemes. Among other roles, Dr. González Martínez was the Project Director for the nationwide evaluation of the Partnership for Patients 2.0, as well as the sub-Project Director and Director of Analytics for the Beneficiary and Family Centered Care National Coordinating Oversight and Review Center (BFCC NCORC).

Dr. González Martínez has analyzed and worked with large and complex datasets, including the design and implementation of complex sampling designs and econometric analyses. Datasets analyzed include, among others, the American Community Survey, the Decennial Census of Population, Current Population Survey, Medicare and Medicaid claims data, other countries micro data, confidential Federal databases, many private corporations’ personnel history and payroll files, and several large prices and statistics compendia.