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Data Analytics Group

Our Data Analytics Group is a centralized team of technical staff skilled in data management, data visualization, and developing and implementing analytical methodologies that produce actionable results to support our clients in addressing meaningful question and complex problems.

About the Data Analytics Group

Our methodological experts and programmers collaborate with subject matter experts and researchers across Econometrica to successfully perform a variety of analytical projects. Through these collaborations, we offer dozens of professionals with a variety of quantitative and qualitative skill sets, including statisticians, economists, data scientists, biostatisticians, visual analysts, and programmers. Our team specializes in quantitative design and implementation, sampling, developing innovative statistical and econometric models, and translating technical results into clear findings and actionable reporting. Our data analytics team is dedicated to undertaking a collaborative approach to analytics in all our work, and building high-quality and impactful products by combining the complementary expertise of our technical staff, subject matter experts, partners, and clients.

Data Analytics Services:


  • Programming languages (SAS, Stata, R, Python, VBA, JavaScript, etc.)
  • Statistical programming and data analysis
  • Data cleaning and scrubbing
  • Web scraping
  • Database management
  • Anonymization and privacy protection


  • Data-based infographic design and production
  • Interactive dashboards
  • Geospatial analysis and visualization


  • Parametric and nonparametric statistical analysis
  • Linear and nonlinear regression modeling:
    • Simultaneous equation systems
    • Two-stage and three-stage least squares
    • Seemingly unrelated regression
    • Logit, probit, and tobit models
    • Instrumental and dummy variable models
    • Difference-in-difference models
    • Random and fixed-effects models
    • Survival models
    • Cox Proportional Hazard Model
    • ARIMA, ARMA, and exponential time-series models
    • Modeling to correct for sample-selection bias (e.g., Heckman), heteroskedasticity (e.g., white tests), and serial correlation
    • Hausman tests and tests for specification errors—omitted variables, irrelevant variables, incorrect functional form, etc.
  • Empirical Bayesian modeling
  • Markov processes
  • Bootstrap and Monte Carlo simulations
  • Hypothesis testing
  • Analysis of Variance (ANOVA)
  • Propensity score and statistical matching
  • Identification and treatment of missing data
  • Simulation modeling
  • Optimization models
  • Artificial intelligence/machine learning
  • Identification of outliers
  • Imputation and extrapolation
  • Forecasting and predictive analyses
  • Independent, third-party, methodology reviews


  • Benefit–cost analyses
  • Cost-effectiveness analyses
  • Break-even analyses
  • Regulatory impact analyses
  • Paperwork Reduction Act analyses
  • Small Business and Regulatory Flexibility Act analyses
  • Economic impact analyses
  • Economic modeling
  • Supply–demand analysis
  • Market share analyses
  • Employment and unemployment analyses
  • Hedonic analyses


  • Return on investment
  • Budget forecasts
  • Fiscal impact analyses
  • Independent verification and validation (IV&V)
  • Risk and uncertainty analyses


  • Analytical training
  • Quality measure calculation
  • Program monitoring and evaluation
  • Program integrity and compliance analysis

data analytics

Dmitriy Goryachev, M.S.
Director, Data Analytics

data analytics

Craig Corl, M.A., M.S.
Senior Advisor, Data Analytics

Select clients:
  • Agency for Healthcare Research and Quality
  • The Brookings Institution
  • Centers for Medicare & Medicaid Services
  • Federal Emergency Management Agency
  • Ginnie Mae
  • Substance Abuse and Mental Health Services Administration
  • Transportation Security Administration
  • U.S. Department of Transportation
  • U.S. Department of Education
  • U.S. Department of Housing and Urban Development
  • U.S. Census Bureau
  • U.S. Small Business Administration

Happy Customers

“When the COVID-19 stay-at-home order started, Econometrica raised a very important question regarding the physical data shipments to states. By quickly identifying this issue and moving to resolve any disconnects, the contractor not only provided excellent customer service to states but protected CMS data with protected health information/potentially identifiable information.”

—Contracting Officer’s Representative comment from an Econometrica CMS project