عنوان

Maximum simulated likelihood methods and applications /

(Number (ISBN

0857241508

(Number (ISBN

9780857241504

Erroneous ISBN

0857241494

Erroneous ISBN

9780857241498

Number

b746119

Title Proper

Maximum simulated likelihood methods and applications /

General Material Designation

[Book]

First Statement of Responsibility

edited by William Greene, R. Carter Hill.

Place of Publication, Distribution, etc.

Bingley, U.K. :

Name of Publisher, Distributor, etc.

Emerald,

Date of Publication, Distribution, etc.

2010.

Specific Material Designation and Extent of Item

1 online resource (xiv, 356 pages) :

Other Physical Details

illustrations

Series Title

Advances in econometrics,

Volume Designation

26

ISSN of Series

0731-9053 ;

Text of Note

Includes bibliographical references.

Text of Note

Introduction / William Greene -- MCMC perspectives on simulated likelihood estimation / Ivan Jeliazkov and Esther Hee Lee -- The panel probit model : adaptive integration on sparse grids / Florian Heiss -- A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered response model / Chandra R. Bhat, Cristiano Varin, Nazneen Ferdous -- Pretest estimation in the random parameters logit model / Tong Zeng and R. Carter Hill -- Simulated maximum likelihood estimation of continuous time stochastic volatility models / Tore Selland Kleppe, Jun Yu, Hans J. Skaug -- Education savings accounts, parent contributions, and education attainment / Michael D.S. Morris -- Estimating the effect of exchange rate flexibility on financial account openness / Raul Razo-Garcia -- estimating a fractional response model with a count endogenous regressor and an application to female labor supply / Hoa B. Nguyen -- Alternative random effects panel gamma SML estimation with heterogeneity in random and one-sided error / Saleem Shaik and Ashok K. Mishra -- Modelling and forecasting volatility in a Bayesian approach / Esmail Amiri.

0

Text of Note

The economics and statistics literature using computer simulation based methods has grown enormously over the past decades. Maximum Simulated Likelihood is a statistical tool useful for incorporating individual differences (called heterogeneity in the econometrics literature) and variations into a statistical analysis. Problems that can be intractable with traditional methods are solved using computer simulation integrated with classical methods. Instead of assuming that everyone responds to stimuli in the same way, allowances are made for the possibility that different decision makers will respond in different ways. The techniques can be applied to problems of individual choice, such as the choice of a transportation model, or choice among health care options, as well as to the problem of making financial and macroeconomic predictions. Contributors to the volume discuss alternative simulation methods that permit faster and more accurate inference, as well as applications of established methods.

Source for Acquisition/Subscription Address

01326671

Title

Maximum simulated likelihood methods and applications.

International Standard Book Number

9780857241498

Econometrics.

Business & Economics-- Econometrics.

Econometrics.

Econometrics.

Economics.

Gestion d'entreprises.

BUS021000

KC

KCH

Number

330.4

Number

Class number

Book number

Greene, William.

Hill, R. Carter.

Date of Transaction

20201204061924.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y