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The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...
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In this paper we examine three binary regressions in order to predict the financial crisis or no crisis periods in USA … in the out-of sample period, which is defined the period 2006-2009. Next we repeat the estimation process for the period …
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direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons … univariate and multivariate models. Theoretical results and Monte Carlo simulations suggest that iterated forecasts dominate …. Conversely, direct forecasts may dominate in the presence of dynamic model misspecification. Empirical analysis of the set of 170 …
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