International Economics

Nonparametric Covariate Adjustment: Pair-Matching versus Local Polynomial Matching

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Präsentation auf der European Econometric Society Meeting, Venezia, 27.08.2002####

A Microeconometric Evaluation of Vocational Rehabilitation Programmes in Sweden

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Präsentation am Jahreskongress der Schweizerischen Gesellschaft für Statistik und Volkswirtschaft, Solothurn, 23.3.2000#### not available in German Link zum zugehörigen Paper

Matching Estimators and Optimal Bandwidth Choice

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Discussion paper#### Optimal bandwidth choice for matching estimators and their finite sample properties are examined. An approximation to their MSE is derived, as a basis for a plug-in bandwidth selector. In small samples, this approximation is not very accurate, though. Alternatively, conventional cross-validation bandwidth selection is considered and performs rather well. Compared to standard pair-matching, kernel and ridge matching achieve reductions in MSE of about 25 to 40%. Local linear matching and weighting perform poorly. Furthermore, the scope for developing better bandwidth selectors seems to be limited for ridge matching, but non-negligible for kernel and local linear matching. Download Discussion Paper: (pdf, 610 kb) Download Appendix: (pdf, 1652 kb) former title: Covariate adjustment and optimal bandwidth choice

Finite sample properties of propensity-score matching and weighting estimators

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In this paper the finite-sample properties of matching and weighting estimators, often used for estimating average treatment effects, are analyzed. Potential and feasible precision gains relative to pair-matching are examined. Local linear matching (with and without trimming), k-nearest neighbour matching, and particularly the weighting estimators performed worst. Ridge matching, on the other hand, leads to an about 25% smaller MSE vis-a-vis pair-matching. In addition, ridge matching is least sensitive to the design choice. Download Discussion Paper: (pdf, 516 kb)

Estimating Individual Expected Treatment Outcomes

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Präsentation am IWH-Workshop zum Thema Evaluation of Active Labor Market Policy and Welfare Programs, Halle/Saale, 10.12.1999####

Estimating Expected Individual Treatment Outcomes

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Präsentation an der Université Louis Pasteur, Strasbourg, 28.6.2000####

Discussion of James Riccio ‘Combining experimental and non-experimental methods in evaluating social programs: an example from Welfare-to-Work research', Laura Rawlings ‘Evaluating the impact of social infrastructure projects: design and implementation issues', Susan Purdon ‘Survey design and estimation issues in the evaluation of labour market programmes in Great Britain' and Vijay Verma ‘Combined design for sampling service facilities and the client population'

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54th World Congress of the International Statistical Institute (2003), Invited session on Design and Analysis of Evaluation Studies, Discussant, Berlin, 20.08.2003.####

Design and analysis of evaluation studies

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, 44-45#### Download Paper: (pdf, 74 kb)

Covariate Adjustment and Matching Estimators

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Vortrag an Universität Mannheim, 14.06.2002####

Has the crisis changed the use of antidumping? : A comparative analysis

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Using detailed trade and tariff data, in this chapter various features of the antidumping investigations initiated in the first three quarters of 2009 are contrasted with similar investigations for the same three quarter period in 2007. This comparison reveals whether the targets of antidumping investigations have changed during the recent crisis

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