Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14
نویسندگان
چکیده
منابع مشابه
Cowles Foundation for Research in Economics at
We consider the problem of a monopolist with an object to sell before some deadline, facing n buyers with independent private values. The monopolist posts prices but has no commitment power. We show that the monopolist can always secure at least the larger of the static monopoly profit and the revenue from a Dutch auction with a zero reserve price. When there are only a few buyers, her profits ...
متن کامل1942 Cowles Foundation for Research in Economics
Despite evidence that consumers search across both stores (spatial) and time (temporal), the search literature models search in only one dimension. We develop a model of spatiotemporal search that nests a finite horizon model of spatial search within an infinite horizon model of intertemporal search. The model is estimated using an iterative procedure that formulates it as a mathematical progra...
متن کاملCowles Foundation for Research in Economics at
We study a dynamic buyer-seller problem in which the good is information and there are no property rights. The potential buyer is reluctant to pay for information whose value to him is uncertain, but the seller cannot credibly convey its value to the buyer without disclosing the information itself. Information comes as divisible hard evidence. We show how and why the seller can appropriate a su...
متن کاملBootstrapping Macroeconometric Models by Ray C. Fair Cowles Foundation Paper No. 1195 Cowles Foundation for Research in Economics
This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric models. It integrates for dynamic, nonlinear, simultaneous equation models the bootstrapping approach to evaluating estimators initiated by Efron (1979) and the stochastic simulation approach to evaluating models’ properties initiated by Adelman and Adelman (1959). It also estimates for a particular ...
متن کاملBayesian Econometrics
Suppose a data vector X = (X1, ..., Xn) follows a distribution with a density function pn(x|θ) which is fully characterized by some parameter vector θ = (θ1, ..., θd)′. Suppose that the prior belief about θ is characterized by a density p(θ) defined over a parameter space Θ, a subset of a Euclidian space R. Using Bayes’ rule to incorporate the information provided by the data, we can form poste...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2013
ISSN: 1556-5068
DOI: 10.2139/ssrn.2363833