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Université de Fribourg

Instrument-based estimation with binarized treatments : issues and tests for the exclusion restriction

Andresen, Martin Eckhoff ; Huber, Martin

(Working Papers SES ; 492)

When estimating local average and marginal treatment effects using instrumental variables (IV), multivalued endogenous treatments are frequently binarized based on a specific threshold in treatment support. However, such binarization introduces a violation of the IV exclusion if (i) the IV affects the multivalued treatment within support areas below and/or above the threshold and (ii) such...

Université de Fribourg

The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators

Bodory, Hugo ; Camponovo, Lorenzo ; Huber, Martin ; Lechner, Michael

In: Journal of Business and Economic Statistics, 2020, vol. 38, no. 1, p. 183-200

This article investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyze both asymptotic approximations and bootstrap methods for computing variances and confidence intervals in our simulation designs, which are based on German...

Université de Fribourg

The causalweight package for causal inference in R

Bodory, Hugo ; Huber, Martin

(Working Papers SES ; 493)

We describe R package “causalweight” for causal inference based on inverse probability weighting (IPW). The “causalweight” package offers a range of semiparametric methods for treatment or impact evaluation and mediation analysis, which incorporates intermediate outcomes for investigating causal mechanisms. Depending on the method, identification relies on selection on observables ...

Université de Fribourg

The finite sample performance of inference methods for propensity score matching and weighting estimators

Bodory, Hugo ; Huber, Martin ; Camponovo, Lorenzo ; Lechner, Michael

(Working Papers SES ; 466)

This paper investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both asymptotic approximations and bootstrap methods for computing variances and confidence intervals in our simulation design, which is based on large scale labor...

Université de Fribourg

Testing the validity of the compulsory schooling law instrument

Bolzern, Benjamin ; Huber, Martin

(Working Papers SES ; 480)

Changes in compulsory schooling laws have been proposed as an instrument for the endogenous choice of schooling. It has been argued that raising minimum schooling exogenously increases the educational attainment of a subset of pupils without directly affecting later life outcomes such as income or health. Using the method of Huber and Mellace (2015) and data from the Survey of Health, Ageing and...

Université de Fribourg

Should Welfare Administration be Centralized or Decentralized? : Evidence from a Policy Experiment

Boockmann, Bernhard ; Thomson, Stephan L. ; Walter, Thomas ; Göbel, Christian ; Huber, Martin

In: German economic review, 2013, vol. 16, no. 1, p. 13-42

The 2005 reform of the German welfare system introduced two competing organizational models for welfare administration. In most districts, a centralized organization was established where local welfare agencies are bound to central directives. At the same time, 69 districts were allowed to opt for a decentralized organization. We evaluate the relative success of both types in terms of...

Université de Fribourg

It's never too LATE : A new look at local average treatment effects with or without defiers

Dahl, Christian M. ; Huber, Martin ; Mellace, Giovanni

In: Discussion papers on business and economics, 2017, vol. 2, p. 1-69

In heterogeneous treatment effect models with endogeneity, identification of the LATE typically relies on the availability of an exogenous instrument monotonically related to treatment participation. We demonstrate that a strictly weaker local monotonicity condition identifies the LATEs on compliers and on defiers. We propose simple estimators that are potentially more efficient than 2SLS,...

Université de Fribourg

Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students

Denisova-Schmidt, Elena ; Huber, Martin ; Leontyeva, Elvira ; Solovyeva, Anna

(Working Papers SES ; 487)

This paper examines how anti-corruption educational campaigns affect the attitudes of Russian university students towards corruption and academic integrity. About 2,000 survey participants were randomly assigned to one of four different information materials (brochures or videos) about the negative consequences of corruption or to a control group. Using machine learning to detect effect...

Université de Fribourg

On the development of students’ attitudes towards corruption and cheating in Russian universities

Denisova-Schmidt, Elena ; Huber, Martin ; Leontyeva, Elvira

(Working Papers SES ; 467)

Based on empirical data from selected public universities in Khabarovsk, Russia, this paper compares first and fifth year students regarding their attitudes towards corruption in general and university corruption in particular. Even after making both groups of students comparable with respect to a range of socio-economic characteristics by a matching approach, the results suggest that fifth year...

Université de Fribourg

An experimental evaluation of an anti-corruption intervention among Ukrainian university students

Denisova-Schmidt, Elena ; Huber, Martin ; Prytula, Yaroslav

(Working Papers SES ; 462)

In this paper, we investigate experimentally the effect of an anti-corruption intervention -an info folder based on materials developed by Transparency International- on Ukrainian university students’ willingness to participate in an anti-corruption campaign and their general attitude toward corruption. In a survey of 600 students in the Ukrainian city of Lviv, individuals were randomly exposed...