Cantitate/Preț
Produs

Programme Evaluation and Treatment Choice: Lecture Notes in Economics and Mathematical Systems, cartea 524

Autor Markus Frölich
en Limba Engleză Paperback – 21 ian 2003
Policy evaluation and programme choice are important tools for informed decision-making, for the administration of active labour market programmes, training programmes, tuition subsidies, rehabilitation programmes etc. Whereas the evaluation of programmes and policies is mainly concerned with an overall assessment of impact, benefits and costs, programme choice considers an optimal allocation of individuals to the programmes. This book surveys potential evaluation strategies for policies with multiple programmes and discusses evaluation and treatment choice in a coherent framework. Recommendations for choosing appropriate evaluation estimators are derived. Furthermore, a semiparametric estimator of optimal treatment choice is developed to assist in the optimal allocation of participants.
Citește tot Restrânge

Din seria Lecture Notes in Economics and Mathematical Systems

Preț: 32029 lei

Preț vechi: 37244 lei
-14% Nou

Puncte Express: 480

Preț estimativ în valută:
6130 6389$ 5103£

Carte tipărită la comandă

Livrare economică 06-20 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540443285
ISBN-10: 3540443282
Pagini: 204
Ilustrații: VIII, 194 p. 1 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:2003
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1 Introduction.- 2 Programme Evaluation and Treatment Choice — An Overview.- 2.1 Introduction in Programme Evaluation.- 2.2 Optimal Treatment Choice.- 2.3 Nonparametric Regression.- 3 Nonparametric Covariate Adjustment in Finite Samples.- 3.1 Potential Efficiency Gains of Local Polynomial Matching.- 3.2 Approximation to the MSE and Bandwidth Choice.- 3.3 Data-driven Bandwidth Choice by Cross-Validation.- 3.4 Matching with Unknown Propensity Score.- 4 Semiparametric Estimation of Optimal Treatment Choices.- 4.1 Estimation of Conditional Expected Potential Outcomes.- 4.2 Optimal Choice and Swedish Rehabilitation Programmes.- 5 Conclusions.- A Appendix.- B Appendix.- C Appendix.- MSE-Approximation for Local Polynomial Matching.- Additional Tables to Chapter 3.- D Appendix.- D.1 Simulated Mean Squared Error for Sample Size 40.- D.2 Simulated Mean Squared Error for Sample Size 200.- D.3 Simulated Mean Squared Error for Sample Size 1000.- D.4 MSE Approximation: Kernel Matching, Sample Size 200.- D.5 MSE Approximation: Kernel Matching, Sample Size 1000.- D.6 MSE Approximation: Local Linear, Sample Size 200.- D.7 MSE Approximation: Local Linear, Sample Size 1000.- E Appendix.- E.1 Asymptotic Properties of the GMM Estimator.- E.2 Power of the J-tests — Additional Monte Carlo Results.- E.3 Additional Tables to Swedish Rehabilitation Programmes.- References.