The paper proposes a novel theory-based approach to economic growth prediction. In the economy populated with economically independent decision-makers, the information about their individual preferences, available technologies, and resource constraints is embedded in decision-makers' opportunity...

The purpose of this paper is to establish whether the unobserved spatial interdependencies between individual households influence recreational travel choices. To coherently incorporate spatial interdependencies in the behavioral analysis, we propose spatial random utility model of recreation...

Random utility models customarily assume strict independence of individual decision-makers. Overwhelming evidence of crowding, peer pressure, herd behavior and other instances of spontaneous discrete choice coordination indicate that decision-makers interact and thus affect choices made by...

A linear complexity parallel method for computing the log of the Jacobian of the variable transformations present in models of spatial interactions on a lattice. The method is shown to be easy to implement in parallel and distributed computing environments. The advantages of parallel...

The paper presents a basic spatial discrete choice modeling framework obtained by applying random utility theory to discrete choices made by heterogeneous spatially dependent individuals. The newly developed framework has two main advantages over existing approaches. First, individual...

This paper links the two nascent economic literatures on social networks and cultural assimilation by investigating the evolution of population attributes in a simple model where agents are influenced by their acquaintances. The main conclusion of the analysis is that attributes converge to a...