Bayesian Implementation The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more...

Bayesian Elicitation Diagnostics An elicitation diagnostic forms a question that compares the information in the prior distribution with the information in the given sample. One elicitation diagnostic identifies a family of prior distribut...

Bayesian Econometrics The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time se...

Bayesian Analysis of Haavelmo's Models In this paper, the exact posterior distributions of the parameters of Haavelmo's model I is derived for locally uniform prior distributions. Marginal distrlbutions of the parameters have been obtained...

An Asymtotic Theory of Bayesian Inference for Time Series This paper develops an asymptotic theory of Bayesian inference for time series. A limiting representation of the Bayesian data density is obtained and shown to be of the same genera...

Time Series Their Analysis by Successive Smoothings type of trend line is intriguing but baffling. Many have advocated the S curves: the logistic, the Gompertz, and the arc-tangent. But it has been suggested by Frischl that the highest or...

The Estimation of Parameters in Linear Autoregressive Time Series 1. The problem is to estimate the values of the constants a in a linear antoregressive series of type (1) + al~l+k-l+ ... + qut = t4h glven a number 1%of coilsecutive terms...

Regression Theory for Near-Integrated Time Series The concept of a near-integrated vector random process is introduced. Such processes help us to work towards a general asymptotic theory of regression for multiple time series in which some...

Pooling of Time Series and Cross Section Data Estimates of parameters from cross section data are often introduced into time series regression as known with certainty, which leads to conditional estimates of the time series regression. Thi...

Pooled Time-Series Cross-Section Estimation PROGRAMS ARE AVAILABLE to facilitate calculation of least squares and instrumental variable coefficients and related statistics from data consisting of time-series observations for each of severa...