We provide new insights into the determinants of acquirer announcement returns with a unique sample of targets that are acquired within three years of their IPOs. Existing studies of acquisitions of private and established public targets find positive relations between acquirer announcement returns and prior target valuation changes. In our sample of recently listed targets, we measure the prio...

Many mainstream economists and policy experts assume that Contingent Valuation (CV) methodologies report a legitimate monetary valuation of a social proposal. An alternative interpretation put forward by Kahneman and colleagues suggest that responses to CV surveys represent a general offer of contribution towards a social project. The contribution model framework conceptualises Willingness to P...

In this paper, we consider the revealed preferences problem from a learning perspective. Every day, a price vector and a budget is drawn from an unknown distribution, and a rational agent buys his most preferred bundle according to some unknown utility function, subject to the given prices and budget constraint. We wish not only to find a utility function which rationalizes a finite set of obse...

This paper investigates a model featuring a monopolist seller and a buyer, with an uncertain valuation for the seller’s product. The seller chooses an information system (“IS”), allowing the buyer to receive a private signal, potentially correlated with her valuation. The cost of the IS is proportional to its precision, measured by the mutual information between the distributions of the buyer’s...

Abstract A multi-unit assignment valuation is a function represented by weighted bipartite graph. In this paper, we provide characterization of such in terms maximizer sets perturbed functions. We then present an algorithm that checks whether given bivariate valuation, and if the answer “yes,” computes graph representing function.

This paper presents a new and general approach to study the optimal rotation policy with amenity valuation under uncertainty. We first postulate the stochastic forest value and assume plausibly that monetary value of amenities is a continuous and non-negative function of forest value thus presenting the trade-off between timber revenues and amenity values. Second, instead of using a dynamic pro...

We consider the problem of online selection of a bundle of items when the cost of each item changes arbitrarily from round to round and the valuation function is initially unknown and revealed only through the noisy values of selected bundles (the bandit feedback setting). We are interested in learning schemes that have a small regret compared to an agent who knows the true valuation function. ...

This paper presents a new discrete/continuous choice model as a structural form to estimate a nonlinear function for the consumer valuation of radiationcontaminated milk. Unlike conventional Tobit models, some linear systematic parts of this model have structural interpretations. Using an Internet-based survey of 7,600 respondents, we found that even slightly contaminated milk was never quoted ...

We present a theory and neurocomputational model of how specific brain operations produce complex decision and preference phenomena, including those explored in prospect theory and decision affect theory. We propose that valuation and decision making are emotional processes, involving interacting brain areas that include two expectation-discrepancy subsystems: a dopamine-encoded system for posi...

We present a theory and neurocomputational model of how specific brain operations produce complex decision and preference phenomena, including those explored in prospect theory and decision affect theory. We propose that valuation and decision making are emotional processes, involving interacting brain areas that include two expectation-discrepancy subsystems: a dopamine-encoded system for posi...