Econometrics is the application of mathematical and statistical methods to describe economic phenomena. It allows researchers to understand the magnitude of economic relationships using complex multivariable statistics. We use Econometric models to evaluate healthcare policies, estimate healthcare utilization and infer causal relationship from healthcare data. For instance, we have used econometrics to evaluate the Medicare Intravenous Immune Globulin (IVIG) Access Demonstration (via models such as, Propensity Scores, Non-Linear models, and Difference-in-Differences regression models). We have designed Risk Adjusted Readmission models for IP Psychiatric hospitals using Random Effect Logistic Regression models. Using an instrumental variable (IV) approach, we have also examined whether patients who are transferred to Long Term Acute Care Hospitals (LTCH) have lower utilization (in terms of payments, costs, readmissions, mortality and ED utilization) compared to those who are not transferred to LTCH. For the National Association of ACOs (NAACOS), we have used a Difference-in-Differences regression model to estimate savings that can be attributed to Accountable Care Organizations (ACOs). Our expertise is to use econometrics to help our clients and inform healthcare policy decisions.