Martin Huber

Has grant

Professor

Switzerland

Research Interests

Explore related searches

Professors in Switzerland Professors in Statistics Statistics professors in Switzerland

Recent Grants

Grant: Close

Do supersaver tickets balance out transport utilization?

Open Date: 2020-06-01

Close Date: 2021-06-01

Grant: Close

Gender Occupational Segregation in the Swiss Apprenticeship Market: the Role of Employers in an Experimental Evaluation

Open Date: 2018-03-01

Close Date: 2019-02-28

Grant: Close

Identifying direct and indirect effects in economics under endogeneity and attrition

Open Date: 2011-09-01

Close Date: 2012-05-31

Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (3)

Anthony Strittmatter

Professor

SWITZERLAND

View details

Ana Fernandes

Professor

University of Bern

SWITZERLAND

View details

Berno Buechel

Prof. Dr.

University of Fribourg

SWITZERLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Martin Huber

Research Interests

Explore related searches

Recent Grants

Articles (10)

Flagging cartel participants with deep learning based on convolutional neural networks

How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign

How residence permits affect the labor market attachment of foreign workers: Evidence from a migration lottery in Liechtenstein

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

A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels

Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition

Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets

Causal mediation analysis with double machine learning

Direct and Indirect Effects based on Changes-in-Changes

Evaluating (weighted) dynamic treatment effects by double machine learning

Collaborators (3)

Anthony Strittmatter

Ana Fernandes

Berno Buechel

Make your next move.