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 AND DATA MANAGEMENT
- 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 VISUALIZATION
- Data-based infographic design and production
- Interactive dashboards
- Geospatial analysis and visualization
ECONOMETRIC AND STATISTICAL ANALYSES
- 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
ECONOMIC AND REGULATORY ANALYSES
- 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
FINANCIAL AND FISCAL ANALYSES
- Return on investment
- Budget forecasts
- Fiscal impact analyses
- Independent verification and validation (IV&V)
- Risk and uncertainty analyses
ADDITIONAL EXPERTISE
- Analytical training
- Quality measure calculation
- Program monitoring and evaluation
- Program integrity and compliance analysis
Dmitriy Goryachev, M.S.
Director, 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