PROJECTQuantitative Data Analysis
Project Navigation
  • Project Home
  • 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
  • Descriptive Data Analysis
  • Microsimulation
  • The Dynamic Simulation of Income Model DYNASIM
  • The Health Insurance Policy Simulation Model HIPSM
  • The Model of Income in the Near Term (MINT)
  • The Transfer Income Model TRIM
  • The Tax Policy Center Microsimulation Model
  • 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.

     
    Research Methods Data analysis Quantitative data analysis Research methods and data analytics