1 citations · 1 across the 11 of their papers we have counts for
15 papers
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…
Discrete Choice with Endogenous Peer Selection
Nail Kashaev, Natalia Lazzati
We develop a continuous time discrete choice model of peer effects. The distinctive feature of the model is that agents might not consider all peers at the moment of making a decis…
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…
Peer Effects in Consideration and Preferences
Nail Kashaev, Natalia Lazzati, Ruli Xiao
We develop a general model of discrete choice that incorporates peer effects in preferences and consideration sets. We characterize the equilibrium behavior and establish condition…
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)…
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…
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…
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…
Discerning Solution Concepts
Nail Kashaev, Bruno Salcedo
The empirical analysis of discrete complete-information games has relied on behavioral restrictions in the form of solution concepts, such as Nash equilibrium. Choosing the right s…
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…
Peer Effects in Random Consideration Sets
Nail Kashaev, Natalia Lazzati
We develop a dynamic model of discrete choice that incorporates peer effects into random consideration sets. We characterize the equilibrium behavior and study the empirical conten…
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…
Identification and estimation of multinomial choice models with latent special covariates
Nail Kashaev
Identification of multinomial choice models is often established by using special covariates that have full support. This paper shows how these identification results can be extend…
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…
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…