activity
20182026
most citedNonparametric Analysis of Dynamic Random Utility Models

1 citations · 1 across the 11 of their papers we have counts for

collaborators

13 papers

econ.TH2026

The Attention Cost of Stable Matching

Victor H. Aguiar, Dian Hong

In large markets, scarce attention limits partner evaluation and creates allocation loss, which stability magnifies. In an independent random market with average executable degree…

econ.GN2026

Tabular Foundation Models and the Unity of Economic Behaviour

Victor H. Aguiar

Economics uses different behavioural models for risk, time, losses, valuation, and social choice. I study a unified choice experiment in which the same decision makers face all the…

econ.EM2026

GARP-EFM: Improving Foundation Models with Revealed Preference Structure

Victor H. Aguiar, Nail Kashaev

Modern pretrained time-series foundation models can forecast without task-specific training, but they do not fully incorporate economic behavior. We show that teaching them basic e…

econ.GN2024

Entangled vs. Separable Choice

Nail Kashaev, Martin Plávala, Victor H. Aguiar

A judge observes the joint probabilistic choice rule of two decision makers: the frequency of action pairs across pairs of local covariates. The rule is separable if behavior can b…

econ.TH2023

Dynamic and Stochastic Rational Behavior

Nail Kashaev, Victor H. Aguiar, Martin Plávala +1

The (static) utility maximization model of Afriat (1967), which is the standard in analysing choice behavior, is under scrutiny. We propose the Dynamic Random Utility Model (DRUM)…

econ.TH2022★ 1 cited

Nonparametric Analysis of Dynamic Random Utility Models

Nail Kashaev, Victor H. Aguiar

We study a dynamic generalization of stochastic rationality in consumer behavior, the Dynamic Random Utility Model (DRUM). Under DRUM, a consumer draws a utility function from a st…

econ.TH2021

Random Rank-Dependent Expected Utility

Nail Kashaev, Victor Aguiar

We present a novel characterization of random rank-dependent expected utility for finite datasets and finite prizes. The test lends itself to statistical testing using the tools in…

econ.TH2021

A Random Attention and Utility Model

Nail Kashaev, Victor H. Aguiar

We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for finite choice sets to settings with limited consideration. Our approach is nonparame…

econ.EM2019

Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets

Victor H. Aguiar, Nail Kashaev

We propose a framework for nonparametric identification and estimation of discrete choice models with unobserved choice sets. We recover the joint distribution of choice sets and p…

econ.TH2019

A Rationalization of the Weak Axiom of Revealed Preference

Victor H. Aguiar, Per Hjertstrand, Roberto Serrano +1

Given a finite collection of choices over budgets, rational consumer behavior is identified with the generalized axiom of revealed preference (GARP). As an alternative, the weak ge…

econ.GN2018

Random Utility and Limited Consideration

Victor H. Aguiar, Maria Jose Boccardi, Nail Kashaev +1

The random utility model (RUM, McFadden and Richter, 1990) has been the standard tool to describe the behavior of a population of decision makers. RUM assumes that decision makers…

econ.EM2018

Stochastic Revealed Preferences with Measurement Error

Victor H. Aguiar, Nail Kashaev

A long-standing question about consumer behavior is whether individuals' observed purchase decisions satisfy the revealed preference (RP) axioms of the utility maximization theory…

econ.EM2018

Prices, Profits, Proxies, and Production

Victor H. Aguiar, Nail Kashaev, Roy Allen

This paper studies nonparametric identification and counterfactual bounds for heterogeneous firms that can be ranked in terms of productivity. Our approach works when quantities an…