ProjectQuantitative Data Analysis
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  • Project Home
  • Microsimulation
  • The Analysis of Transfers, Taxes, and Income Security (ATTIS) microsimulation model
  • The Medicare Policy Microsimulation Model (MCARE-SIM)
  • The Model of Income in the Near Term (MINT)
  • The Tax Policy Center Microsimulation Model
  • The Dynamic Simulation of Income Model (DYNASIM)
  • The Health Insurance Policy Simulation Model (HIPSM)
  • The Transfer Income Model (TRIM)
  • Descriptive Data Analysis
  • Inference
  • Impact Analysis
  • Bias
  • Experiments
  • Paired Testing
  • Quasi-experimental Methods
  • Difference-in-Difference and Panel Methods
  • Instrumental Variables
  • Propensity Score Matching
  • Regression Discontinuity
  • Regression Techniques
  • Generalized Linear Model
  • Linear Regression
  • Logit and Probit Regression
  • Segregation Measures
  • Inequality Measures
  • Decomposition Methods
  • Performance Measurement and Management
    • Regression Techniques

    Regression, including linear regression methods, generalized linear models, probit, logit, and other regression models, can adjust for differences across units in measured characteristics that might be correlated with outcomes and with other factors that change outcomes. Differences across subgroups can be decomposed into parts due to characteristics and returns to those characteristics; these decomposition methods are often based on regression methods.