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  • 1
    Online-Ressource
    Online-Ressource
    Maximum simulated likelihood methods and applications (2010)
    Bingley, U.K. :Emerald,
    Details
    UID:
    almahu_9949068946202882
    Umfang: 1 online resource (xiv, 356 p.) : , ill.
    ISBN: 9780857241504 (electronic bk.) :
    Serie: Advances in econometrics, 26
    Inhalt: 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.
    Anmerkung: 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.
    Weitere Ausg.: ISBN 9780857241498
    Sprache: Englisch
    URL: https://www.emerald.com/insight/publication/doi/10.1108/S0731-9053(2010)26
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    Online Zugang
    HU Berlin
    HTW Berlin
    BTU Cottbus
  • 2
    Online-Ressource
    Online-Ressource
    Maximum simulated likelihood methods and applications (2010)
    Bingley[u.a.] : Emerald
    Details
    UID:
    gbv_1652159436
    Umfang: Online-Ressource (XIV, 356 S.) , graf. Darst.
    Ausgabe: Online-Ausg.
    ISBN: 9780857241498 , 0857241494 , 0857241508
    Serie: Advances in econometrics 26
    Inhalt: 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.
    Weitere Ausg.: ISBN 9780857241504
    Weitere Ausg.: ISBN 9780857241498
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe Maximum simulated likelihood methods and applications Bingley [u.a.] : Emerald, 2010 ISBN 0857241494
    Weitere Ausg.: ISBN 0857241508
    Weitere Ausg.: ISBN 9780857241498
    Weitere Ausg.: ISBN 9780857241504
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    QH 300
    Schlagwort(e): Simulation ; Ökonometrisches Modell ; Konferenzschrift
    DOI: 10.1108/S0731-9053(2010)26
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    URL: Inhaltstext
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    Open Access Wunsch
    Stabi Berlin
    UB Potsdam
  • 3
    Online-Ressource
    Online-Ressource
    Maximum simulated likelihood methods and applications (2010)
    Bingley, UK : Emerald
    Details
    UID:
    gbv_687106869
    Umfang: Online-Ressource (xiv, 356 p) , ill
    Ausgabe: 1st ed
    Ausgabe: Online-Ausg. Palo Alto, Calif ebrary 2011 Electronic reproduction; Available via World Wide Web
    ISBN: 0857241494 , 0857241508 , 9780857241498 , 9780857241504
    Serie: Advances in econometrics 26
    Inhalt: 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. Contributors to the volume discuss alternative simulation methods that permit faster and more accurate inference, as well as applications of established methods
    Anmerkung: Includes bibliographical references , Front cover ; Advances in Econometrics ; Copyright page ; Contents ; List of contributors; Introduction; Acknowledgments; References; Part I: Theory and Methods ; Chapter 1. MCMC perspectives on simulated likelihood estimation ; Chapter 2. The panel probit model: Adaptive integration on sparse grids ; Chapter 3. A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered-response model ; Chapter 4. Pretest Estimation in the Random Parameters Logit Model , Chapter 5. Simulated maximum likelihood estimation of continuous time stochastic volatility models Part II: Applications ; Chapter 6. Education savings accounts, parent contributions, and education attainment ; Chapter 7. Estimating the effect of exchange rate flexibility on financial account openness ; Chapter 8. Estimating a Fractional Response Model with a count endogenous regressor and an application to female labor supply ; Chapter 9. Alternative random effects panel gamma SML estimation with heterogeneity in random and one-sided error , Chapter 10. Modeling and forecasting volatility in a bayesian approach , Electronic reproduction; Available via World Wide Web
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe Maximum simulated likelihood methods and applications Bingley [u.a.] : Emerald, 2010 ISBN 0857241494
    Weitere Ausg.: ISBN 0857241508
    Weitere Ausg.: ISBN 9780857241498
    Weitere Ausg.: ISBN 9780857241504
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    QH 300
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext
    URL: Inhaltstext
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    Online Zugang
    UB Potsdam
  • 4
    Buch
    Buch
    Maximum simulated likelihood methods and applications / (2010)
    Bingley :Emerald,
    Details
    UID:
    almafu_BV036882236
    Umfang: XIV, 356 S. : , graph. Darst.
    Ausgabe: 1. ed.
    ISBN: 978-0-85724-149-8
    Serie: Advances in econometrics 26
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-0-85724-150-4
    Sprache: Englisch
    Schlagwort(e): Ökonometrisches Modell ; Likelihood-Quotienten-Test ; Simulation ; Aufsatzsammlung ; Konferenzschrift
    URL: Inhaltsverzeichnis
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Buch
    FU Berlin get availability status
  • 5
    Online-Ressource
    Online-Ressource
    Maximum simulated likelihood methods and applications / (2010)
    Bingley, UK :Emerald,
    Details
    UID:
    edocfu_9959226878602883
    Umfang: 1 online resource (370 p.)
    Ausgabe: 1st ed.
    ISBN: 1-282-96400-3 , 9786612964008 , 0-85724-150-8
    Serie: Advances in econometrics ; v. 26
    Inhalt: 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.
    Anmerkung: Description based upon print version of record. , 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. , English
    Weitere Ausg.: ISBN 0-85724-149-4
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    FU Berlin
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