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Report NEP-ETS-1998-10-02
This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Yong Yin issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ETS
The following items were announced in this report:
- David A. Chapman & Neil D. Pearson, 1998, "Is the Short Rate Drift Actually Nonlinear?," Finance, University Library of Munich, Germany, number 9808005, Aug.
- Anning Wei & Raymond M. Leuthold, 1998, "Long Agricultural Futures Prices: ARCH, Long Memory, or Chaos Processes?," Finance, University Library of Munich, Germany, number 9805001, May.
- Charles Nelson & Christian Murray, 1997, "The Uncertain Trend in U.S. GDP," Computational Economics, University Library of Munich, Germany, number 9702001, Feb.
- Suzanne McCoskey & Chihwa Kao, 1998, "A Panel Data Investigation of the Relationship Between Urbanization and Growth," Urban/Regional, University Library of Munich, Germany, number 9805004, Jul.
- William A. Barnett & Apostolos Serletis, 1998, "Martingales, Nonlinearity, and Chaos," Econometrics, University Library of Munich, Germany, number 9805003, Jun.
- Mark J. Jensen, 1998, "An Approximate Wavelet MLE of Short and Long Memory Parameters," Econometrics, University Library of Munich, Germany, number 9802003, Feb, revised 21 Jun 1999.
- Mark Dwyer, 1998, "Impulse Response Priors for Discriminating Structural Vector Autoregressions," Econometrics, University Library of Munich, Germany, number 9808001, Aug.
- Chihwa Kao & Jamie Emerson, 1998, "On the Estimation of a Linear Time Trend Regression with a One- Way Error Component Model in the Presence of Serially Correlated Errors," Econometrics, University Library of Munich, Germany, number 9805004, Jul.
- Martin Evans, 1998, "Looking Behind the U. K.Term Structure: Were there Peso Problems in Inflation?," Finance, University Library of Munich, Germany, number 9809001, Sep.
- Paul McNelis & John Duffy, 1998, "Approximating and Simulating the Stochastic Growth Model: Parameterized Expectations, Neural Networks, and the Genetic Algorithm," GE, Growth, Math methods, University Library of Munich, Germany, number 9804004, Apr, revised 14 May 1998.