Complete and Incomplete Econometric Models
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€80.99
A01=John Geweke
Accuracy and precision
Age Group_Uncategorized
Age Group_Uncategorized
Ancillary statistic
Approximation
Author_John Geweke
Autocorrelation
automatic-update
Autoregressive conditional heteroskedasticity
Autoregressive model
Bayes factor
Bayesian
Bayesian econometrics
Bayesian inference
Bayesian probability
Bayesian statistics
Behavioral economics
Category1=Non-Fiction
Category=KCH
Central limit theorem
Closed-form expression
Combination
Complexity
Conjecture
COP=United States
Copula (probability theory)
Decision problem
Decision-making
Delivery_Delivery within 10-20 working days
Dynamic stochastic general equilibrium
Econometric model
Econometric Theory
Empirical distribution function
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Estimation
Excess Kurtosis
Existential quantification
General equilibrium theory
Generalized method of moments
Importance sampling
Independent and identically distributed random variables
Inference
Joint probability distribution
Kurtosis
Language_English
Latent variable
Likelihood function
Likelihood-ratio test
Linear prediction
Loss function
Marginal distribution
Marginal likelihood
Markov chain
Mean squared error
Monte Carlo algorithm
Null hypothesis
Observable
P-value
PA=Available
Parameter
Parametric model
Posterior predictive distribution
Posterior probability
Prediction
Predictive analytics
Preference (economics)
Price_€50 to €100
Prior probability
Probability
PS=Active
Quantity
Random variable
Risk aversion
Scoring rule
Skewness
softlaunch
Standard deviation
Standard error
Statistic
Statistical hypothesis testing
Stochastic volatility
Uncertainty
Utility
Variance
Product details
- ISBN 9780691140025
- Weight: 340g
- Dimensions: 140 x 216mm
- Publication Date: 28 Feb 2010
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
- Language: English
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Econometric models are widely used in the creation and evaluation of economic policy in the public and private sectors. But these models are useful only if they adequately account for the phenomena in question, and they can be quite misleading if they do not. In response, econometricians have developed tests and other checks for model adequacy. All of these methods, however, take as given the specification of the model to be tested. In this book, John Geweke addresses the critical earlier stage of model development, the point at which potential models are inherently incomplete. Summarizing and extending recent advances in Bayesian econometrics, Geweke shows how simple modern simulation methods can complement the creative process of model formulation. These methods, which are accessible to economics PhD students as well as to practicing applied econometricians, streamline the processes of model development and specification checking. Complete with illustrations from a wide variety of applications, this is an important contribution to econometrics that will interest economists and PhD students alike.
John Geweke is Distinguished Research Professor at the University of Technology Sydney, and research professor at the University of Colorado. He is the coeditor of the "Journal of Econometrics" and his most recent previous book is "Contemporary Bayesian Econometrics and Statistics" (Wiley).
