Martin Huber

Biographic Data

ID3707946
NAMEMartin Huber
GIVEN NAMESMartin
FAMILY NAMEHuber
SIGNATUREHUBER M
AFFILIATIONSUniversity of Fribourg
ORCID0000-0002-8590-9402
VERIFIEDYes
TOTAL WORKS37
TOTAL CITATIONS23
AUTHOR COUNT34
EDITOR COUNT3
FIRST PUBLICATION YEAR2000
LATEST PUBLICATION YEAR2026
H-INDEX3

  • A Joint Test of Unconfoundedness and Common Trends

    Open AccessMartin Huber, Eva‐Maria OeßARTICLEJournal of Applied Econometrics2026

    We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment outcomes, which motivates including the pre‐treatment outcomes in the set of controls. Under common trends, th…

  • Estimation of Direct and Indirect Quantile Treatment Effects with Double Machine Learning

    Yu-Chin Hsu, Martin Huber et al.ARTICLEJournal of Business and Economic…2026

    We propose a framework to disentangle the quantile treatment effect of a binary treatment at a specific rank into an indirect quantile treatment effect that operates through a mediator and an unmediated direct quantile treatment effect. We establish identification results for these effects under the sequential ignorability assumption and propose double/debiased machine learning estimators, based on the efficient influence functions of the cumulat…

  • Testing Monotonicity of Mean Potential Outcomes in a Continuous Treatment with High-Dimensional Data

    Yu‐Chin Hsu, Yu-Chin Hsu et al.ARTICLEThe Review of Economics and…2026

    We propose a Cramér–von Mises–type test for testing whether the mean potential outcome given a specific treatment level has a weakly monotonic relationship with the continuous treatment under unconfoundedness. To flexibly control for a possibly high-dimensional set of covariates, our test is based on a double debiased machine learning method. We show that our test controls asymptotic size and is consistent against any fixed alternative. We apply …

  • The Austrian Political Advertisement Scandal

    Open AccessPaul Balluff, Jakob-Moritz Eberl et al.ARTICLEThe International Journal of…2026Cited by: 6References: 69

    Mounting concern surrounds the influence of political actors on journalism, especially as media outlets face increasing financial pressures. These circumstances can give rise to instances of media capture, a mutually corrupting relationship between political actors and media organizations. However, empirical evidence substantiating such mechanisms and their consequences remains limited, particularly in the context of Western democracies. This cha…

  • Interacting Treatments With Endogenous Takeup

    Open AccessMáté Kormos, Robert P Lieli et al.ARTICLEJournal of Applied Econometrics2025

    We study causal inference in randomized experiments (or quasi‐experiments) following a factorial design. There are two treatments, denoted and , and units are randomly assigned to one of four categories: treatment alone, treatment alone, joint treatment, or none. Allowing for endogenous non‐compliance with the two binary instruments representing the intended assignment, as well as unrestricted interference across the two treatments, we derive the…

  • From homemakers to breadwinners? How mandatory kindergarten affects maternal labour market outcomes

    Open AccessSelina Gangl, Martin HuberARTICLEJournal of Population Economics2025References: 1

    The majority of Swiss children attend mandatory and cost-free kindergarten at age four. We examine the effect of this policy on maternal labour market outcomes. Using administrative data from Switzerland, we exploit the birthday cut-off for kindergarten entry in the same or in the following year and apply a non-parametric regression discontinuity design (RDD). We find that mandatory kindergarten has a statistically significant positive effect on …

  • Double Machine Learning for Sample Selection Models

    Michela Bia, Martin Huber et al.ARTICLEJournal of Business and Economic…2024

    This article considers the evaluation of discretely distributed treatments when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For identification, we combine a selection-on-observables assumption for treatment assignment with either selection-on-observables or instrumental variable assumptions concerning the outcome attrition/sample selection process. We also consider dynamic confounding, meaning that…

  • When does gender occupational segregation start? An experimental evaluation of the effects of gender and parental occupation in the apprenticeship labor market

    Open AccessAna Fernandes, Martin Huber et al.ARTICLEEconomics of Education Review2023

    The apprenticeship market is the earliest possible entry point into the workforce in developed economies. Since early labor market shocks are likely magnified throughout professional life, avoiding mismatches between talent and occupations – for example due to gender- or status-based discrimination – appears crucial. This experimental study investigates the effects of applicant gender and its interaction with parental occupation on the probabilit…

  • Direct and Indirect Effects based on Changes-in-Changes

    Martin Huber, Mark Schelker et al.ARTICLEJournal of Business and Economic…2022

    We propose a novel approach for causal mediation analysis based on changes-in-changes assumptions restricting unobserved heterogeneity over time. This allows disentangling the causal effect of a binary treatment on a continuous outcome into an indirect effect operating through a binary intermediate variable (called mediator) and a direct effect running via other causal mechanisms. We identify average and quantile direct and indirect effects for v…

  • How the qualities of actor-issue interdependencies influence collaboration patterns

    Open AccessMartin Huber, Martin Nicola HuberARTICLEConservation Ecology2022

    Environmental governance is complex because it addresses challenges anchored in different sectors and concerns multiple interdependent issues. Managing those complex interdependencies through collaboration is vital for efficient long-term environmental governance. However, because interdependencies between environmental issues are challenging to unravel and vastly complex, it is challenging for actors to account for them when deciding with whom t…

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

    Open AccessElena Denisova-Schmidt, Martin Huber et al.ARTICLEEmpirical Economics2021

  • A Framework for Separating Individual-Level Treatment Effects From Spillover Effects

    Martin Huber, Andreas SteinmayrARTICLEJournal of Business and Economic…2021

    This article suggests a causal framework for separating individual-level treatment effects and spillover effects such as general equilibrium, interference, or interaction effects related to treatment distribution. We relax the stable unit treatment value assumption assuming away treatment-dependent interaction between study participants and permit spillover effects within aggregates, for example, regions. Based on our framework, we systematically…

  • Time Preferences Across Language Groups

    Open AccessHolger Herz, Martin Huber et al.ARTICLEThe Economic Journal2021Cited by: 3References: 47

    Differences in patience across language groups have recently received increased attention in the literature. We provide evidence on this issue by measuring time preferences of French and German speakers from a bilingual municipality in Switzerland where institutions are shared and socio-economic conditions are very similar across the two language groups. We find that French speakers are significantly more impatient than German speakers, and diffe…

  • Direct and indirect effects of continuous treatments based on generalized propensity score weighting

    Open AccessMartin Huber, Yu‐Chin Hsu et al.ARTICLEJournal of Applied Econometrics2020

    This paper proposes semi‐ and nonparametric methods for disentangling the total causal effect of a continuous treatment on an outcome variable into its natural direct effect and the indirect effect that operates through one or several intermediate variables called mediators jointly. Our approach is based on weighting observations by the inverse of two versions of the generalized propensity score (GPS), namely the conditional density of treatment …

  • Endogeneity and non‐response bias in treatment evaluation – nonparametric identification of causal effects by instruments

    Open AccessHans Fricke, Markus Frölich et al.ARTICLEJournal of Applied Econometrics2020

    This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non‐response bias, based on two instrumental variables. Using a discrete instrument for the treatment and an instrument with rich (in general continuous) support for non‐response/attrition, we identify the average treatment effect on compliers as well as the total population under the assumption of additive separ…

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

    Hugo Bodory, Lorenzo Camponovo et al.ARTICLEJournal of Business and Economic…2020

    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 register data and U.S. survey data. We vary the design w.r.t…

  • Including Covariates in the Regression Discontinuity Design

    Markus Frölich, Martin HuberARTICLEJournal of Business and Economic…2019

    This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one-dimensional nonparametric regression, irrespective of the dimension of the continuously distributed elements in the…

  • Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery

    Eva Deuchert, Martin Huber et al.ARTICLEJournal of Business and Economic…2019

    We propose a difference-in-differences approach for disentangling a total treatment effect within specific subpopulations into a direct effect and an indirect effect operating through a binary mediating variable. Random treatment assignment along with specific common trend and effect homogeneity assumptions identify the direct effects on the always and never takers, whose mediator is not affected by the treatment, as well as the direct and indire…

  • The effects of anti-corruption videos on attitudes toward corruption in a Ukrainian online survey

    Elena Denisova-Schmidt, Martin Huber et al.ARTICLEEurasian Geography and Economics2019Cited by: 3References: 18

    This paper presents the outcomes of an anti-corruption educational intervention among Ukrainian students based on an online experiment. More than 3,000 survey participants were randomly assigned to one of three different videos on corruption and its consequences (treatment groups) or a video on higher education (control group). The data suggest a high level of academic dishonesty and misconduct among young people, but also a negative attitude tow…

  • Bernhard-Handbuch

    Open AccessMartin Huber, Manfred MittermayerBOOKBernhard-Handbuch2018

    Das Handbuch präsentiert alle Werke und Werkgruppen von Thomas Bernhard; zusätzlich Beiträge zu Kontexten und zentralen Themen aus dem Werken.

  • Bernhard-Handbuch

    Manfred Mittermayer, Martin HuberBOOKBernhard-Handbuch2018

  • Grundthemen der Literaturwissenschaft

    Martin Huber, Wolf SchmidBOOKGrundthemen der Literaturwissenscha…2017

  • Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism

    Martin Huber, Michael Lechner et al.ARTICLEThe Review of Economics and…2017

    Previous research found that less accommodating caseworkers are more successful in placing unemployed workers into employment. This paper explores the causal mechanisms behind this result using semi-parametric mediation analysis. Analyzing rich linked job seeker-caseworker data for Switzerland, we find that the positive employment effects of less accommodating caseworkers are not driven by a particularly effective mix of labor market programs but…

  • The Finite Sample Performance of Estimators for Mediation Analysis Under Sequential Conditional Independence

    Martin Huber, Michael Lechner et al.ARTICLEJournal of Business and Economic…2016

    Using a comprehensive simulation study based on empirical data, this article investigates the finite sample properties of different classes of parametric and semiparametric estimators of (natural) direct and indirect causal effects used in mediation analysis under sequential conditional independence assumptions. The estimators are based on regression, inverse probability weighting, and combinations thereof. Our simulation design uses a large popu…

  • The Effect of Firms' Phased Retirement Policies on the Labor Market Outcomes of Their Employees

    Open AccessMartin Huber, Michael Lechner et al.ARTICLEIndustrial and Labor Relations…2016Cited by: 1References: 31

    In this article, the authors assess the impact on male employees' labor market outcomes of firms offering a special form of phased retirement. The goal of the program is to smooth the transition from work to retirement and to decrease the costs of public pension and unemployment insurance schemes by increasing the employment of elderly workers. Using a unique linked employer-employee data set, the authors examine whether male employees spend more…