3 citations · 6 across the 9 of their papers we have counts for
10 papers
Do People Follow AI Advice? Evidence from a Pension Portfolio Choice Experiment
Hongseok Choi, Jeongbin Kim, Matthew Kovach +3
We study how differences in AI-generated financial recommendations are transmitted into individual portfolio choices. In an experiment with 400 employed adults enrolled in workplac…
Learning from an Unknown DGP: Experimental Evidence on Belief Updating with AI Recommendations
Matthew Kovach, Daniel Martin, Gerelt Tserenjigmid
We use a controlled experiment to study how beliefs are updated after receiving qualitative information (AI recommendations) from an unknown data-generating process (DGP). Across 6…
Inertial Updating with General Information
Adam Dominiak, Matthew Kovach, Gerelt Tserenjigmid
We study belief revision when a data-generating process (DGP) is unknown, and information is represented by a set of probability distributions, or general information. General info…
The Focal Quantal Response Equilibrium
Matthew Kovach, Gerelt Tserenjigmid
We propose a generalization of Quantal Response Equilibrium (QRE) built on a simple premise: some actions are more focal than others. In our model, which we call the Focal Quantal…
Inertial Updating
Adam Dominiak, Matthew Kovach, Gerelt Tserenjigmid
We introduce and characterize inertial updating of beliefs. Under inertial updating, a decision maker (DM) chooses a belief that minimizes the subjective distance between their pri…
Ordered Surprises and Conditional Probability Systems
Adam Dominiak, Matthew Kovach, Gerelt Tserenjigmid
We study conditioning on null events, or surprises, and behaviorally characterize the Ordered Surprises (OS) representation of beliefs. For feasible events, our Decision Maker (DM)…
Monolithic Integration of Quantum Resonant Tunneling Gate on a 22nm FD-SOI CMOS Process
Imran Bashir, Dirk Leipold, Elena Blokhina +10
The proliferation of quantum computing technologies has fueled the race to build a practical quantum computer. The spectrum of the innovation is wide and encompasses many aspects o…
Reference Dependence and Random Attention
Matthew Kovach, Elchin Suleymanov
We explore the ways that a reference point may direct attention. Utilizing a stochastic choice framework, we provide behavioral foundations for the Reference-Dependent Random Atten…
Ambiguity and Partial Bayesian Updating
Matthew Kovach
Models of updating a set of priors either do not allow a decision maker to make inference about her priors (full bayesian updating or FB) or require an extreme degree of selection…
Conservative Updating
Matthew Kovach
This paper provides a behavioral analysis of conservatism in beliefs. I introduce a new axiom, Dynamic Conservatism, that relaxes Dynamic Consistency when information and prior bel…