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ECONIS (ZBW)
4,100
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1
Mechanisms in a digitalized world
Demange, Gabrielle
-
2018
Due to computing and communication facilities, formal procedures, often referred to as "
algorithms
", are now … discuss some of the economic risks generated by the power of
algorithms
. …
Persistent link: https://www.econbiz.de/10011822644
Saved in:
2
Similarity and consistency in
algorithm
-guided exploration
Bao, Yongping
;
Danwitz, Ludwig
;
Dvorak, Fabian
; …
-
2022
Algorithm
-based decision support systems play an increasingly important role in decisions involving exploration tasks … the willingness of participants to follow the advice of a reinforcement learning
algorithm
depends on the fit between … their own exploration preferences and the
algorithm
's advice. We vary the weight that the
algorithm
places on exploration …
Persistent link: https://www.econbiz.de/10013482224
Saved in:
3
Collusion by
algorithm
: the role of unobserved actions
Martin, Simon
;
Rasch, Alexander
-
2022
We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....
Persistent link: https://www.econbiz.de/10013093034
Saved in:
4
Numerical solution of dynamic equilibrium models under Poisson uncertainty
Posch, Olaf
;
Trimborn, Timo
-
2011
We propose a simple and powerful numerical
algorithm
to compute the transition process in continuous-time dynamic … system of functional differential equations of the retarded type. We apply the Waveform Relaxation
algorithm
, i.e., we …
Persistent link: https://www.econbiz.de/10009124183
Saved in:
5
Bubbles in hybrid markets : how expectations about algorithmic trading affect human trading
Farjam, Mike
;
Kirchkamp, Oliver
-
2015
Bubbles are omnipresent in lab experiments with asset markets. Most of these experiments were conducted in environments with only human traders. Today markets are substantially determined by algorithmic traders. Here we use a laboratory experiment to measure changes of human trading behavior if...
Persistent link: https://www.econbiz.de/10011392621
Saved in:
6
Opinion dynamics via search engines (and other algorithmic gatekeepers)
Germano, Fabrizio
;
Sobbrio, Francesco
-
2017
-
First Version: December 2016
Ranking
algorithms
are the information gatekeepers of the Internet era. We develop a stylized framework to study the … effects of ranking
algorithms
on opinion dynamics. We consider rankings that depend on popularity and on personalization. We …, depending on whether individuals have common or private value preferences. We also find that ranking
algorithms
can contribute …
Persistent link: https://www.econbiz.de/10011669418
Saved in:
7
Collusive compensation schemes aided by
algorithms
Martin, Simon
;
Schmal, Wolfgang Benedikt
-
2021
future market conditions, possibly aided by
algorithms
. Prices and profits are inverse u-shaped in prediction ability …
Persistent link: https://www.econbiz.de/10012698813
Saved in:
8
Crowding out the truth? : a simple model of misinformation, polarization, and meaningful social interactions
Germano, Fabrizio
;
Gómez, Vicenç
;
Sobbrio, Francesco
-
2022
-
This version: November 2022
This paper provides a simple theoretical framework to evaluate the effect of key parameters of ranking
algorithms
…
Persistent link: https://www.econbiz.de/10013413453
Saved in:
9
Strategic responses to algorithmic recommendations : evidence from hotel pricing
García, Daniel
;
Tolvanen, Juha
;
Wagner, Alexander K.
-
2023
We study the interaction between algorithmic advice and human decisions using high-resolution hotel-room pricing data. We document that price setting frictions, arising from adjustment costs of human decision makers, induce a conflict of interest with the algorithmic advisor. A model of advice...
Persistent link: https://www.econbiz.de/10014444885
Saved in:
10
A hands-on machine learning primer for social scientists : math,
algorithms
and code
Askitas, Nikos
-
2024
This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage ”once you understand OLS, you can work...
Persistent link: https://www.econbiz.de/10015070152
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