Econometric Inference Using Simulation Techniques
Published on 25. April 1995
Book
Hardback
256 pages
978-0-471-95623-5 (ISBN)
Description
The study of algorithms for efficient numerical integration by means of simulation techniques has become an important area in econometrics. This text presents the latest thinking in the field, with contributions from key international researchers. It covers the three main areas of econometric inference where the use of simulation methods has been successful: Bayesian inference; classical inferences; and the solution and stochastic simulation of dynamic econometric models.
More details
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 253 mm
Width: 194 mm
Weight
750 gr
ISBN-13
978-0-471-95623-5 (9780471956235)
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Schweitzer Classification
Content
A simulation estimation analysis of the external debt crises of developing countries; a symmetric approach to the labour market with the household as the unit of observation; prediction, filtering and smoothing in non-linear and non-normal cases using Monte Carlo integration; large shocks, small shocks and economic fluctuations; outliers in macroeconomic time series; estimates of the demand for medical care under different functional forms.