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Show simple item record Geweke, John en_US Horowitz, Joel en_US Pesaran, Hashem en_US
dc.contributor.editor Durlauf, SN; Blume, LE en_US 2012-03-12T11:24:33Z 2012-03-12T11:24:33Z 2008 en_US
dc.identifier 2008008226 en_US
dc.identifier.citation Geweke John, Horowitz Joel, and Pesaran Hashem 2008, 'Econometrics', The New Palgrave Dictionary of Economics online, Palgrave Macmillan, Online en_US
dc.identifier.issn 978-0-333-78676-5 en_US
dc.identifier.other B3 en_US
dc.description.abstract As a unified discipline, econometrics is still relatively young and has been transforming and expanding very rapidly. Major advances have taken place in the analysis of cross-sectional data by means of semiparametric and nonparametric techniques. Heterogeneity of economic relations across individuals, firms and industries is increasingly acknowledged and attempts have been made to take it into account either by integrating out its effects or by modelling the sources of heterogeneity when suitable panel data exist. The counterfactual considerations that underlie policy analysis and treatment valuation have been given a more satisfactory foundation. New time-series econometric techniques have been developed and employed extensively in the areas of macroeconometrics and finance. Nonlinear econometric techniques are used increasingly in the analysis of cross-section and time-series observations. Applications of Bayesian techniques to econometric problems have been promoted largely by advances in computer power and computational techniques. The use of Bayesian techniques has in turn provided the investigators with a unifying framework where the tasks of forecasting, decision making, model evaluation and learning can be considered as parts of the same interactive and iterative process, thus providing a basis for a??real time econometricsa??. en_US
dc.language en_US
dc.publisher Palgrave Macmillan en_US
dc.relation.hasversion Accepted manuscript version
dc.rights The New Palgrave Dictionary of Economics, Palgrave Macmillan, reproduced with permission of Palgrave Macmillan. This article is taken from the author's original manuscript and has not been edited. The definitive published version of this extract may be found in the complete New Palgrave Dictionary of Economics in print and online, available at
dc.title Econometrics en_US
dc.parent The New Palgrave Dictionary of Economics online en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Online en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 32 en_US BUS.School of Finance and Economics en_US
dc.conference Verified OK en_US
dc.for 140300 en_US
dc.personcode 101228 en_US
dc.personcode 0000053743 en_US
dc.personcode 0000053744 en_US
dc.percentage 100 en_US Econometrics en_US
dc.classification.type FOR-08 en_US
dc.edition 2nd en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords acceptance sampling; adaptive expectations hypothesis; ARMA processes; asset pricing models; asset return volatility; auctions; Bachelier, L.; Bayesian computation; Bayesian econometrics; Bayesian inference; Benini, R.; binary logit and probit models; bootstrap; building cycle; bunch maps; causality in economics and econometrics; censored regression models; central limit theorems; cointegration; common factors; conditional hazard functions; conditional mean functions; conditional median functions; confluence analysis; convexity; correlation analysis; Cowles Commission; curse of dimensionality; Davenant, C.; diagnostic tests; discrete choice models; discrete response models; distributed lags; Douglas, P.H.; Duhem?Quine thesis; duration models; dynamic decision models; dynamic specification; dynamic stochastic general equilibrium models; Econometric Society; econometrics; economic distance; economic laws; Edgeworth expansions; Edgeworth, F. Y.; efficient market hypothesis; Engel curve; error correction models; Euler equations; experimental economics; financial econometrics; Fisher, I.; Fisher, R. A.; fixed effects and random effects; forecast error variances; forecast evaluation; forecasting; Frisch, R. A. K.; full information maximum likelihood; Galton, F.; Gaussian quadrature; generalized method of moments; geometric distributed lag model; Gibbs sampling; Haavelmo, T.; habit persistence; Hastings?Metropolis algorithm; hedonic prices; homogeneity; Hooker, R.H.; identification; impulse response analysis; indirect utility function; inference; instrumental variables; integration; inventory cycle; joint hypotheses; Juglar cycle; Juglar, C.; k-class estimators; kernel estimators; King, G.; Kitchin, J.; Kondratieff, N.; Koopmans, T. C.; Kuznets, S.; labour market search; Lagrange multiplier; latent variables; least absolute deviations estimators; likelihood ratio; limited information maximum likelihood; linear models; local linear estimation; logit models; long waves; en_US

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