Michael Lechner
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View article: Fairness-Aware and Interpretable Policy Learning
Fairness-Aware and Interpretable Policy Learning Open
Fairness and interpretability play an important role in the adoption of decision-making algorithms across many application domains. These requirements are intended to avoid undesirable group differences and to alleviate concerns related to…
View article: Integration of multiple-linear and tumbling kinematics into self-piercing riveting
Integration of multiple-linear and tumbling kinematics into self-piercing riveting Open
Conventional mechanical joining processes are typically rigid in their tool systems and can only react to changing process and disturbance variables to a limited extent. At the same time, various industries are increasingly trending toward…
View article: Non-destructive testing in versatile joining processes
Non-destructive testing in versatile joining processes Open
Mechanical joints are traditionally analyzed through destructive micrograph analysis, which may compromise internal geometry and morphology, as evidenced by radial cracks in semi-tubular self-pierce riveting. In contrast, industrial X-ray …
View article: From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies
From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies Open
Active labor market policies are widely used by the Swiss government, enrolling over half of all unemployed individuals. This paper evaluates the effectiveness of Swiss programs in improving employment and earnings outcomes using causal ma…
View article: The heterogeneous response of real estate prices during the Covid-19 pandemic
The heterogeneous response of real estate prices during the Covid-19 pandemic Open
We estimate the transmission of the pandemic shock in 2020 to the residential and commercial real estate market by causal machine learning, using granular data for Germany. We exploit differences in the incidence of Covid infections and sh…
View article: Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment Open
Decision making plays a pivotal role in shaping outcomes across various disciplines, such as medicine, economics, and business. This paper provides practitioners with guidance on implementing a decision tree designed to optimise treatment …
View article: Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
Enabling Decision-Making with the Modified Causal Forest: Policy Trees for Treatment Assignment Open
Decision-making plays a pivotal role in shaping outcomes in various disciplines, such as medicine, economics, and business. This paper provides guidance to practitioners on how to implement a decision tree designed to address treatment ass…
View article: A lightweight sensor ontology for supporting sensor selection, deployment, and data processing in forming processes
A lightweight sensor ontology for supporting sensor selection, deployment, and data processing in forming processes Open
In the era of smart manufacturing, modern manufacturing systems face high demands for enhancing process performance and reducing machine downtime. Sensors and process data are essential for successfully implementing data-driven approaches …
View article: Comprehensive Causal Machine Learning
Comprehensive Causal Machine Learning Open
Uncovering causal effects in multiple treatment setting at various levels of granularity provides substantial value to decision makers. Comprehensive machine learning approaches to causal effect estimation allow to use a single causal mach…
View article: Investigation on the limp properties of formed foils for hydrogen applications
Investigation on the limp properties of formed foils for hydrogen applications Open
The mass production of bipolar plates for electrolyzers and fuel cells is a central step towards the realization of efficient and cost-effective energy systems of the future. However, current production processes are reaching their limits …
View article: Teamwork and Spillover Effects in Performance Evaluations
Teamwork and Spillover Effects in Performance Evaluations Open
This article shows how coworker performance affects individual performance evaluation in a teamwork setting at the workplace. We use high-quality data on football matches to measure an important component of individual performance, shootin…
View article: Causal Machine Learning for Moderation Effects
Causal Machine Learning for Moderation Effects Open
It is valuable for any decision maker to know the impact of decisions (treatments) on average and for subgroups. The causal machine learning literature has recently provided tools for estimating group average treatment effects (GATE) to be…
View article: The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates
The Finite Sample Performance of Instrumental Variable-Based Estimators of the Local Average Treatment Effect When Controlling for Covariates Open
This paper investigates the finite sample performance of a range of parametric, semi-parametric, and non-parametric instrumental variable estimators when controlling for a fixed set of covariates to evaluate the local average treatment eff…
View article: Do local expenditures on sports facilities affect sports participation?
Do local expenditures on sports facilities affect sports participation? Open
This paper contributes to the literature evaluating the performance of local governments by analyzing the effect of local public expenditures on sports facilities on sports participation in Germany. To this end, we use a new data base cont…
View article: Institutions and the resource curse: New insights from causal machine learning
Institutions and the resource curse: New insights from causal machine learning Open
There is a widely held belief that natural resource rents are a blessing if institutions are strong, but a curse if institutions are weak. We use data from 3,800 Sub-Saharan African districts and apply a causal forest estimator to reassess…
View article: Causal Machine Learning and its use for public policy
Causal Machine Learning and its use for public policy Open
In recent years, microeconometrics experienced the ‘credibility revolution’, culminating in the 2021 Nobel prices for David Card, Josh Angrist, and Guido Imbens. This ‘revolution’ in how to do empirical work led to more reliable empirical …
View article: Rot‐Jaune‐Verde: On linguistic bias of referees in Swiss soccer*
Rot‐Jaune‐Verde: On linguistic bias of referees in Swiss soccer* Open
We utilize data from 5,010 soccer games in the top two Swiss divisions between the 2005/06 and 2018/19 seasons. In these games, a referee can share the same linguistic area with one of the teams. Using referee‐per‐season fixed effects, we …
View article: Combining Remote Sensing Data for Habitat Mapping and Monitoring on a Regional Scale – the SEMONA RELOADED Project
Combining Remote Sensing Data for Habitat Mapping and Monitoring on a Regional Scale – the SEMONA RELOADED Project Open
Green spaces, from small-scale structures such as green roofs and individual trees in cities to large grasslands and forests, fulfill climate-relevant, ecological and social functions. The protection and monitoring of these spaces as well …
View article: Innovative mechanical joining processes in versatile process chains - potentials, applications and selection procedures
Innovative mechanical joining processes in versatile process chains - potentials, applications and selection procedures Open
Mechanical joining processes have gained extensive importance in recent years. In contrast to temperature-based processes, mechanical joining approaches allow the joining of dissimilar materials such as steel and aluminum. What most of the…
View article: The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates
The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates Open
This paper investigates the finite sample performance of a range of parametric, semi-parametric, and non-parametric instrumental variable estimators when controlling for a fixed set of covariates to evaluate the local average treatment eff…
View article: Mechanical and geometrical characterisation of tumbling self-piercing riveting joints in multi-material-systems
Mechanical and geometrical characterisation of tumbling self-piercing riveting joints in multi-material-systems Open
Increasing requirements on lightweight construction to preserve resources necessitate new processes and methods in the production of weight-optimised multi-material-systems. Common joining processes such as the conventional semi-tubular se…