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General-to-Specific Modelling

Editor

Listed:
  • Julia Campos
  • Neil R. Ericsson

Abstract

These volumes feature a wealth of evidence that has accrued over the last five years displaying its excellent abilities for model selection, based on Monte Carlo studies of automatic algorithms. These also throw light on several major methodological issues, and prompt many new ideas, which are discussed.

Suggested Citation

  • Julia Campos & Neil R. Ericsson (ed.), 2005. "General-to-Specific Modelling," Books, Edward Elgar Publishing, volume 0, number 2417.
    • Handle: RePEc:elg:eebook:2417
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    File URL: http://www.e-elgar.com/shop/isbn/9781852786694
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    2. Hughes, Joseph P. & Moon, Choon-Geol, 2022. "How bad is a bad loan? Distinguishing inherent credit risk from inefficient lending (Does the capital market price this difference?)," Journal of Economics and Business, Elsevier, vol. 120(C).
    3. Robert A. Buckle & John Creedy & Norman Gemmell, 2022. "Sources of convergence and divergence in university research quality: evidence from the performance-based research funding system in New Zealand," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3021-3047, June.
    4. Cai, Zhengzheng & Zhu, Yanli & Han, Xiaoyi, 2022. "Bayesian analysis of spatial dynamic panel data model with convex combinations of different spatial weight matrices: A reparameterized approach," Economics Letters, Elsevier, vol. 217(C).
    5. Robert A. Buckle & John Creedy & Norman Gemmell, 2022. "Sources of convergence and divergence in university research quality: evidence from the performance-based research funding system in New Zealand," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3021-3047, June.
    6. Robert A. Buckle & John Creedy & Norman Gemmell, 2020. "Is external research assessment associated with convergence or divergence of research quality across universities and disciplines? Evidence from the PBRF process in New Zealand," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3919-3932, July.
    7. Kurita, Takamitsu, 2011. "An empirical model for Japan’s business fixed investment," Journal of Economics and Business, Elsevier, vol. 63(2), pages 107-120.
    8. Joseph P. Hughes & Loretta J. Mester & Choon-Geol Moon, 2016. "Market Discipline Working for and Against Financial Stability: The Two Faces of Equity Capital in U.S. Commercial Banking," Departmental Working Papers 201611, Rutgers University, Department of Economics.
    9. Muhammad Asali, 2019. "vgets: A program to estimate general-to-specific VARs, Granger causality, steady-state effects, and cumulative impulse responses," Working Papers 007-19, International School of Economics at TSU, Tbilisi, Republic of Georgia.
    10. Lyonnet, Victor & Werner, Richard, 2012. "Lessons from the Bank of England on ‘quantitative easing’ and other ‘unconventional’ monetary policies," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 94-105.

    More about this item

    Keywords

    Economics and Finance;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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