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Forecasting Economic Time series Using Adaptive Versus Nonadaptive and Linecar Versus Nonlinear Econometric Models

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Author Info
Swanson, N.R.

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Abstract

Nine macroeconomic variables are forecast in a real-time scenario using a variety of adaptive, nonadaptive, linear and nonlinear econometric models.

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Publisher Info
Paper provided by Pennsylvania State - Department of Economics in its series Papers with number 4-96-2.

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Length: 57 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:fth:pensta:4-96-2

Contact details of provider:
Postal: PENNSYLVANIA STATE UNIVERSITY, DEPARTMENT OF ECONOMICS, UNIVERSITY PARK PENNSYLVANIA 16802 U.S.A.
Phone: (814)865-1456
Fax: (814)863-4775
Web page: http://econ.la.psu.edu/
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Related research
Keywords: LINEAR MODELS; FORECASTING;

Find related papers by JEL classification:
C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

Cited by:
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  1. Kala Krishna & Ataman Ozyildirim & Norman R. Swanson, 1998. "Trade, Investment, and Growth: Nexus, Analysis, and Prognosis," NBER Working Papers 6861, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics. [Downloadable!]
    Other versions:
  3. Robert H. McGuckin & Ataman Ozyildirim & Victor Zarnowitz, 2001. "The Composite Index of Leading Economic Indicators: How to Make It More Timely," NBER Working Papers 8430, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
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This page was last updated on 2009-10-24.


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