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Haute école de gestion de Genève

Evaluation of the quality of Alexa’s metrics

Fuss, Megan ; Johner, Sophie ; Gaudinat, Arnaud (dir.)

(Travail de recherche réalisé dans le cadre du Master of Science HES-SO en Sciences de l'information à la Haute école de gestion de Genève (HEG-GE), Filière Information documentaire, 2018)

Alexa is a tool that can easily be confused by name with the voice device that Amazon proposes, but in reality, it is a web traffic tool. Very little is known about how it functions and where it gets data from. With so little information available, how is it possible to know whether the tool is of good value or not. The ability to compare Alexa with other tools such as Google Analytics gives...

Université de Neuchâtel

Return Me – If You Can: 10th Anniversary of the Adoption of the EU Return Directive – A Success Story?

Progin-Theuerkauf, Sarah

(nccr on the move ; 17)

The EU Return Directive will celebrate its 10th Anniversary in 2018. As part of the Schengen Acquis, this Directive is also binding for Switzerland. This Working Paper analyses whether the Directive has actually achieved its aim of setting up a "fair and transparent regime for returns", by pointing out four major problems, also identified by the Court of Justice of the European Union.

Université de Fribourg

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

Hsu, Yu-Chin ; Huber, Martin ; Lee, Ying-Ying ; Pipoz, Layal

(Working papers SES ; 495)

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 or mediators. Our approach is based on weighting observations by the inverse of two versions of the generalized propensity score (GPS),...

Université de Fribourg

Machine learning with screens for detecting bid-rigging cartels

Huber, Martin ; Imhof, David

(Working Papers SES ; 494)

We combine machine learning techniques with statistical screens computed from the distribution of bids in tenders within the Swiss construction sector to predict collusion through bid-rigging cartels. We assess the out of sample performance of this approach and find it to correctly classify more than 80% of the total of bidding processes as collusive or non-collusive. As the correct...

Université de Neuchâtel

Professional drone usage in Switzerland : results of a quantitative survey of public and private drone users

Klauser, Francisco ; Pauschinger, Dennis ; Pedrozo, Silvana ; Stuber, Lea ; Placì, Rahel

(Working Papers MAPS ; 2)

In recent years, drones have become much more accessible as professional tools for public and private actors. The technology has been integrated into everyday working routines and has created new professional fields. These developments have sparked increased media attention and socio-political debate regarding the opportunities and risks of drone use, and the necessary regulatory response....

Université de Neuchâtel

Cutting out the middleman : a case study of blockchain-induced reconfigurations in the Swiss financial services industry

Witzig, Pascal ; Salomon, Victoriya

(Working Papers MAPS ; 1)

Blockchain-technology promises to have far-reaching economic and social implications, which are not yet foreseeable in its extent. It threatens to disintermediate many wellestablished sectors of the economy, and incumbent businesses might be overtaken by ambitious newcomers. The financial services industry is particularly “ripe for disintermediation” since blockchain-technology has with...

Université de Fribourg

Finding the adequate location scenario after the merger of fire brigades thanks to Multiple Criteria Decision Analysis Methods

Aldabbas, Mohammad ; Venteicher, Francesca ; Gerber, Lenna ; Widmer, Marino

(Internal working papers DIUF ; 18-01)

This paper addresses the issue of selecting a suitable location for a fire station in canton of Fribourg, as a result of a fire brigades’merger, by applying Multiple Criteria Decision Analysis (MCDA) methods. Solving the problem of determining fire station locations through various methods has been analyzed in-­‐depth by researchers. However, a different approach, based on application of...

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

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 Neuchâtel

Embedding "political consumerism" : a conceptual critique

Balsiger, Philip

(EUI Working Papers ; 08)

This paper develops a theoretically and empirically founded critique of the concept of political consumerism. In the course of the last decade, political consumerism was “discovered” as a new form of political participation, revealing the politics behind products. Surveys show that individuals more and more often use their consumption to voice political concerns, boycotting products or...