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The Current Depth of Recession and Unemployment Rate Forecasts
Parker, Randall E.; Rothman, Philip - Department of Economics, East Carolina University
Persistent link: https://www.econbiz.de/10005260388
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Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test
Rothman, Philip - Department of Economics, East Carolina University
Persistent link: https://www.econbiz.de/10005791125
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A Frequency Domain Test of Time Reversibility
Hinich, Melvin J.; Rothman, Philip - Department of Economics, East Carolina University
Persistent link: https://www.econbiz.de/10005791134
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Table of Contents, List of Contributors, and Introduction to NONLINEAR TIME SERIES ANALYSIS OF ECONOMIC AND FINANCIAL DATA, Kluwer Academic Press, edited
Rothman, Philip - Department of Economics, East Carolina University
Persistent link: https://www.econbiz.de/10005791154
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A Multivariate STAR Analysis of the Relationship Between Money and Output
Rothman, Philip; Dijk, Dick van; Franses, Philip Hans - Department of Economics, East Carolina University - 1999
Persistent link: https://www.econbiz.de/10005791168
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Time Series Evidence on Whether Adjustment to Long-Run Equilibrium is Asymmetric
Rothman, Philip - Department of Economics, East Carolina University - 1999
Persistent link: https://www.econbiz.de/10005623673
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Independence and Changes in the Size Distribution of Income
Rothman, Philip - Department of Economics, East Carolina University
Persistent link: https://www.econbiz.de/10005623674
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Review of Forecasting Non-Stationary Economic Time Series, by Michael P. Clements and David F. Hendry
Rothman, Philip - Department of Economics, East Carolina University - 2000
Persistent link: https://www.econbiz.de/10005623675
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Time Irreversible Unemployment Rates
Rothman, Philip - Department of Economics, East Carolina University - 1999
Persistent link: https://www.econbiz.de/10005623677
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Oil and Us GDP: A Real-Time Out-Of-Sample Examination
Ravazzolo, Francesco; Rothman, Philip - 2010
We study the real-time Granger-causal relationship between crude oil prices and US GDP growth through a simulated out-of-sample (OOS) forecasting exercise; we also provide strong evidence of in-sample predictability from oil prices to GDP. Comparing our benchmark model "without oil" against...
Persistent link: https://www.econbiz.de/10012143752