Arbeitspapier
Semiparametrically efficient estimation of the average linear regression function
- Sprache
-
Englisch
- Erschienen in
-
Series: cemmap working paper; No. CWP62/18
Bezug (was)
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Conditional Linear Predictor
Causal Inference
Average Treatment Effect
Propensity Score
Semiparametric Efficiency
Semiparametric Regression
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Conditional Linear Predictor
Causal Inference
Average Treatment Effect
Propensity Score
Semiparametric Efficiency
Semiparametric Regression
Beteiligte Personen und Organisationen
Graham, Bryan S.
Pinto, Cristine Campos de Xavier
London: Centre for Microdata Methods and Practice (cemmap)
Pinto, Cristine Campos de Xavier
London: Centre for Microdata Methods and Practice (cemmap)
Erschienen
London: Centre for Microdata Methods and Practice (cemmap)
- Rechteinformation
-
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft
- Letzte Aktualisierung
-
18.10.2021, 08:57 MESZ
Objekttyp
- Arbeitspapier
Beteiligte
- Graham, Bryan S.
- Pinto, Cristine Campos de Xavier
- London: Centre for Microdata Methods and Practice (cemmap)
Entstanden
- London: Centre for Microdata Methods and Practice (cemmap)
Ähnliche Objekte (12)
Estimation with many instrumental variables
Regression discontinuity design with covariates
On the identification of structural linear functionals
Doubly robust uniform confidence band for the conditional average treatment effect function
Vector quantile regression
Direct and indirect treatment effects: Causal chains and mediation analysis with instrumental variables
Asymptotic efficiency of semiparametric two-step GMM
Asymptotic efficiency of semiparametric two-step GMM
Understanding the effect of measurement error on quantile regressions
Unconditional quantile treatment effects under endogeneity
Nonparametric tests of conditional treatment effects
Set inferences and sensitivity analysis in semiparametric conditionally identified models
Estimation with many instrumental variables
Regression discontinuity design with covariates
On the identification of structural linear functionals
Doubly robust uniform confidence band for the conditional average treatment effect function
Vector quantile regression
Direct and indirect treatment effects: Causal chains and mediation analysis with instrumental variables
Asymptotic efficiency of semiparametric two-step GMM
Asymptotic efficiency of semiparametric two-step GMM
Understanding the effect of measurement error on quantile regressions
Unconditional quantile treatment effects under endogeneity
Nonparametric tests of conditional treatment effects
Set inferences and sensitivity analysis in semiparametric conditionally identified models
Estimation with many instrumental variables
Regression discontinuity design with covariates
On the identification of structural linear functionals
Doubly robust uniform confidence band for the conditional average treatment effect function
Vector quantile regression
Direct and indirect treatment effects: Causal chains and mediation analysis with instrumental variables
Asymptotic efficiency of semiparametric two-step GMM
Asymptotic efficiency of semiparametric two-step GMM
Understanding the effect of measurement error on quantile regressions
Unconditional quantile treatment effects under endogeneity
Nonparametric tests of conditional treatment effects