How Reliable Are Recession Prediction Models?
نویسنده
چکیده
T he U.S. economy continues to advance briskly, defying forecasts of more moderate growth. Beginning in March 1991, the current expansion has become the longest peacetime expansion on record and is less than a year away from becoming the longest in U.S. history. To the surprise of some observers, economic growth has been particularly robust late in the expansion. In fact, over the last three years growth has averaged 4 percent annually, and indicators of growth for the first half of 1999 show no signs of significant slowing.
منابع مشابه
Artificial neural network model to predict the performance of a diesel power generator fueled with biodiesel
Alternative fuels are intensively investigated for the replacement of the diesel fuel. Today the diesel power generators are mostly used in the various industrial companies in Iran. Therefore, it is necessary to estimate the level of performance of the diesel power generators fueled with biofuels. For the first time, in this study, the prediction of the performance of a diesel power generator m...
متن کاملApplication of Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA
In this paper discrete choice models, Logit and Probit are examined in order to predict the economic recession or expansion periods in USA. Additionally we propose an adaptive neuro-fuzzy inference system with triangular membership function. We examine the in-sample period 1947-2005 and we test the models in the out-of sample period 2006-2009. The forecasting results indicate that the Adaptive ...
متن کاملPrediction of Seismic Wave Intensity Generated by Bench Blasting Using Intelligence Committee Machines
In large open pit mines prediction of Peak Particle Velocity (PPV) provides useful information for safe blasting. At Sungun Copper Mine (SCM), some unstable rock slopes facing to valuable industrial facilities are both expose to high intensity daily blasting vibrations, threatening their safty. So, controlling PPV by developing accurate predictors is essential. Hence, this study proposes improv...
متن کاملAsymmetric Effects of Monetary Policy and Business Cycles in Iran using Markov-switching Models
This paper investigates the asymmetric effects of monetary policy on economic growth over business cycles in Iran. Estimating the models using the Hamilton (1989) Markov-switching model and by employing the data for 1960-2012, the results well identify two regimes characterized as expansion and recession. Moreover, the results show that an expansionary monetary policy has a positive and statist...
متن کاملPrediction of boiling point and water solubility of crude oil hydrocarbons using sub-structural molecular fragments method
The quantitative structure–property relationship (QSPR) method is used to develop the correlation between structures of crude oil hydrocarbons (80 compounds) and their boiling point and water solubility. Sub-structural molecular fragments (SMF) calculated from structure alone were used to represent molecular structures. A subset of the calculated fragments selected using stepwise regression (fo...
متن کامل