This paper studies budget processes, both theoretically and experimentally. We give a sufficient condition for top-down and bottom-up budget processes to have the same voting equilibrium. Furthermore, at a voting equilibrium, it is not always true, as often presumed, that a top-down budget process leads to a smaller overall budget than does a bottom-up budget process. To test the implications for budget processes of voting equilibrium theory, we conduct a series of 128 voting experiments using subjects in a behavior laboratory. The experimental evidence from these experiments is well organized by voting equilibrium theory, both at the aggregate level and at the individual subject level. In particular, subjects display considerable evidence ...
We propose a Markov chain method for pricing discretely monitored barrier options in both the consta...
Pour que les prévisions politiques à l'égard des systèmes de compensation soient utiles, il faut qu'...
There has been an increase of interest for semi-supervised learning recently, because of the many da...
Ce texte étudie des processus de construction budgétaire, tant d'un point de vue théorique que d'un ...
The purpose of the study is to collect information that can be used to design a policy to induce the...
This paper contributes to the literature on the hedonic pricing method in three different ways: i) t...
This paper analyzes a class of two-stage Cournot games where rival firms, in the first stage, incur ...
We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour...
L'objectif principal de cet article est d'analyser les facteurs qui influencent la dynamique des séj...
We aim at modelling fat-tailed densities whose distributions are unknown but are potentially asymmet...
Presently, conditions ensuring the validity of bootstrap methods for the sample mean of (possibly he...
Unlike European-type derivative securities, there are no simple analytic valuation formulas for Amer...
In this paper, we consider testing marginal normal distributional assumptions. More precisely, we pr...
We consider the problem of assessing the uncertainty of calibrated parameters in computable general ...
We explore the predictive capacity of short-horizon time preference decisions for long-horizon inves...
We propose a Markov chain method for pricing discretely monitored barrier options in both the consta...
Pour que les prévisions politiques à l'égard des systèmes de compensation soient utiles, il faut qu'...
There has been an increase of interest for semi-supervised learning recently, because of the many da...
Ce texte étudie des processus de construction budgétaire, tant d'un point de vue théorique que d'un ...
The purpose of the study is to collect information that can be used to design a policy to induce the...
This paper contributes to the literature on the hedonic pricing method in three different ways: i) t...
This paper analyzes a class of two-stage Cournot games where rival firms, in the first stage, incur ...
We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour...
L'objectif principal de cet article est d'analyser les facteurs qui influencent la dynamique des séj...
We aim at modelling fat-tailed densities whose distributions are unknown but are potentially asymmet...
Presently, conditions ensuring the validity of bootstrap methods for the sample mean of (possibly he...
Unlike European-type derivative securities, there are no simple analytic valuation formulas for Amer...
In this paper, we consider testing marginal normal distributional assumptions. More precisely, we pr...
We consider the problem of assessing the uncertainty of calibrated parameters in computable general ...
We explore the predictive capacity of short-horizon time preference decisions for long-horizon inves...
We propose a Markov chain method for pricing discretely monitored barrier options in both the consta...
Pour que les prévisions politiques à l'égard des systèmes de compensation soient utiles, il faut qu'...
There has been an increase of interest for semi-supervised learning recently, because of the many da...