Investigating Nonlinearity: A Note on the Estimation of Hamilton’s Random Field Regression Model
AbstractThis is a revised and extended version of the authors’ 2003 Trinity Economic Paper. It describes Hamilton’s (2001) approach to nonlinear econometric modelling and some of the methods of nonlinear optimization, as before, but adds significantly to the investigation of Hamilton’s Gauss program for the implementation of his methodology. Specifically, it reports on the performance of this program using data relating to Hamilton’s US Phillips curve example, the use of two versions of the Gauss software and a range of numerical optimization options. It also examines the impact of changes in initial parameter estimates, the use of algorithm switching strategies, and the e?ects of changes in the sample data on the results produced by Hamilton’s procedure. The new results presented suggest some further clear conclusions that will be of value to those using Hamilton’s method.
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Bibliographic InfoPaper provided by Trinity College Dublin, Department of Economics in its series Trinity Economics Papers with number 200054.
Date of creation: Aug 2005
Date of revision:
Other versions of this item:
- Bond Derek & Harrison Michael J. & O'Brien Edward J., 2005. "Investigating Nonlinearity: A Note on the Estimation of Hamilton's Random Field Regression Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(3), pages 1-43, September.
- D. Bond & M.J. Harrision & E.J. O, Brien, 2005. "Investigating Nonlinearity: A Note on the Estimation of Hamilton’s Random Field Regression Model," Trinity Economics Papers tep4, Trinity College Dublin, Department of Economics.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-09-29 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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qt68s8157x, Department of Economics, UC San Diego.
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- Derek Bond & Niall Hession & Michael J Harrison & Edward J O’Brien, 2007.
"Nonlinearity as an Explanation of the Forward Exchange Rate Anomaly,"
200801, School Of Economics, University College Dublin.
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- Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2007. "Demand for Money: A Study in Testing Time Series for Long Memory and Nonlinearity," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 1-24.
- Derek Bond & Michael J. Harrison & Niall Hession & Edward J. O'Brien, 2006.
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Trinity Economics Papers
tep2006, Trinity College Dublin, Department of Economics.
- Bond, Derek & Harrison, Michael J & Hession, Niall & O’Brien, Edward J., 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Research Technical Papers 3/RT/06, Central Bank of Ireland.
- Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005.
"Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study,"
Trinity Economics Papers
tep20021, Trinity College Dublin, Department of Economics.
- Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
- Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2006. "Purchasing Power Parity: The Irish Experience Re-visited," Trinity Economics Papers tep200615, Trinity College Dublin, Department of Economics.
- Peter Winker & Dietmar Maringer, 2009. "The convergence of estimators based on heuristics: theory and application to a GARCH model," Computational Statistics, Springer, vol. 24(3), pages 533-550, August.
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