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Sequential Matching Estimation of Dynamic Causal Models

Lechner, Michael - 2004

This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium size samples. Based on the application of the sequential matching estimators to an …

Persistent link: https://www.econbiz.de/10010261808

Testing for nonparametric identification of causal effects in the presence of a quasi-instrument

DeLuna, Xavier; Johansson, Per - 2012

The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption (exogeneity of the...

Persistent link: https://www.econbiz.de/10010284025

Testing for nonparametric identification of causal effects in the presence of a quasi-instrument

de Luna, Xavier; Johansson, Per - 2012

Persistent link: https://www.econbiz.de/10010321134

Work after the Age of Fifty: Switzerland in an international Comparison

Luzzi, Giovanni Ferro; Sonnet, Anne - In: CESifo DICE Report 02 (2004) 4, pp. 54-58

Persistent link: https://www.econbiz.de/10011696492

Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland

Behncke, Stefanie; Frölich, Markus; Lechner, Michael - In: CESifo DICE Report 04 (2006) 2, pp. 61-68

Persistent link: https://www.econbiz.de/10011696585

Dynamic Treatment Assignment : The Consequences for Evaluations Using Observational Data

Fredriksson, Peter; Johansson, Per - 2004

suggest easy-to-use nonparametric survival function matching estimators. These estimators can be used to estimate the time …

Persistent link: https://www.econbiz.de/10010261825

Identifying Reduced-Form Relations with Panel Data

Vollebergh, Herman R.J.; Melenberg, Bertrand; … - 2007

The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...

Persistent link: https://www.econbiz.de/10010325143

Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments

DiPrete, Thomas A.; Gangl, Markus - 2004

Propensity score matching provides an estimate of the effect of a 'treatment' variable on an outcome variable that is … largely free of bias arising from an association between treatment status and observable variables. However, matching methods … undermine the conclusions about causal effects from a matching analysis. Instrumental variables (IV) estimation provides an …

Persistent link: https://www.econbiz.de/10010304029

Exploiting regional treatment intensity for the evaluation of labour market policies

Frölich, Markus; Lechner, Michael - 2006

variables and matching estimators. Very informative administrative Swiss data with detailed regional information are combined …-defined local labour markets. This allows pursuing instrumental variable as well as matching estimation strategies. A specific …

Persistent link: https://www.econbiz.de/10010267957

Quantile treatment effects in the regression discontinuity design: Process results and gini coefficient

Frölich, Markus; Melly, Blaise - 2010

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...

Persistent link: https://www.econbiz.de/10010269846