Direkt zur Hauptnavigation springen Direkt zum Inhalt springen
Filtern nach
Aktive Filter
Letzte Suchanfragen

Ergebnisse für *

Es wurden 1 Ergebnisse gefunden.

Zeige Ergebnisse 1 bis 1 von 1.

Sortieren

  1. Micro-econometrics for policy, program, and treatment effects
    Autor*in: Lee, Myoung-jae
    Erschienen: 2005
    Verlag:  Oxford University Press, Oxford

    Focusing on non-experimental microeconometric estimation, this work provides literature on how to measure accurately the effects of a treatment, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or... mehr

    Standort:
    Kühne Logistics University – KLU, Bibliothek
    Fernleihe:
    keine Fernleihe

     

    Focusing on non-experimental microeconometric estimation, this work provides literature on how to measure accurately the effects of a treatment, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 1435622642; 9781435622647
    Schriftenreihe: Advanced texts in econometrics
    Schlagworte: Economic policy; Multivariate analysis; Econometric models; Econometrics
    Umfang: Online-Ressource
    Bemerkung(en):

    Includes bibliographical references and index

    Title from title screen (viewed Mar. 2, 2006)

    ""Contents""; ""1 Tour of the book""; ""2 Basics of treatment effect analysis""; ""2.1 Treatment intervention, counter-factual, and causal relation""; ""2.1.1 Potential outcomes and intervention""; ""2.1.2 Causality and association""; ""2.1.3 Partial equilibrium analysis and remarks""; ""2.2 Various treatment effects and no effects""; ""2.2.1 Various effects""; ""2.2.2 Three no-effect concepts""; ""2.2.3 Further remarks""; ""2.3 Group-mean difference and randomization""; ""2.3.1 Group-mean difference and mean effect""; ""2.3.2 Consequences of randomization""

    ""2.3.3 Checking out covariate balance""""2.4 Overt bias, hidden (covert) bias, and selection problems""; ""2.4.1 Overt and hidden biases""; ""2.4.2 Selection on observables and unobservables""; ""2.4.3 Linear models and biases""; ""2.5 Estimation with group mean difference and LSE""; ""2.5.1 Group-mean difference and LSE""; ""2.5.2 A job-training example""; ""2.5.3 Linking counter-factuals to linear models""; ""2.6 Structural form equations and treatment effect""; ""2.7 On mean independence and independence*""; ""2.7.1 Independence and conditional independence""

    ""2.7.2 Symmetric and asymmetric mean-independence""""2.7.3 Joint and marginal independence""; ""2.8 Illustration of biases and Simpson�s Paradox*""; ""2.8.1 Illustration of biases""; ""2.8.2 Source of overt bias""; ""2.8.3 Simpson�s Paradox""; ""3 Controlling for covariates""; ""3.1 Variables to control for""; ""3.1.1 Must cases""; ""3.1.2 No-no cases""; ""3.1.3 Yes/no cases""; ""3.1.4 Option case""; ""3.1.5 Proxy cases""; ""3.2 Comparison group and controlling for observed variables""; ""3.2.1 Comparison group bias""; ""3.2.2 Dimension and support problems in conditioning""

    ""3.2.3 Parametric models to avoid dimension and support problems""""3.2.4 Two-stage method for a semi-linear model*""; ""3.3 Regression discontinuity design (RDD) and before-after (BA)""; ""3.3.1 Parametric regression discontinuity""; ""3.3.2 Sharp nonparametric regression discontinuity""; ""3.3.3 Fuzzy nonparametric regression discontinuity""; ""3.3.4 Before-after (BA)""; ""3.4 Treatment effect estimator with weighting*""; ""3.4.1 Effect on the untreated""; ""3.4.2 Effects on the treated and on the population""; ""3.4.3 Effciency bounds and effcient estimators""

    ""3.4.4 An empirical example""""3.5 Complete pairing with double sums*""; ""3.5.1 Discrete covariates""; ""3.5.2 Continuous or mixed (continuous or discrete) covariates""; ""3.5.3 An empirical example""; ""4 Matching""; ""4.1 Estimators with matching""; ""4.1.1 Effects on the treated""; ""4.1.2 Effects on the population""; ""4.1.3 Estimating asymptotic variance""; ""4.2 Implementing matching""; ""4.2.1 Decisions to make in matching""; ""4.2.2 Evaluating matching success""; ""4.2.3 Empirical examples""; ""4.3 Propensity score matching""; ""4.3.1 Balancing observables with propensity score""

    ""4.3.2 Removing overt bias with propensity-score""