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We propose a new model for the variance between multiple time series, the Regime Switching Dynamic Correlation. We decompose the covariances into correlations and standard deviations and the correlation matrix follows a regime switching model; it is constant within a regime but different across regimes. The transitions between the regimes are governed by a(More)
Widely publicized reports of fresh MBAs getting multiple job offers with six-figure annual salaries leave a long-lasting general impression about the high quality of selected business schools. While such spectacular achievement in job placement rightly deserves recognition, one should not lose sight of the resources expended in order to accomplish this(More)
This paper presents evidence, using data from Consensus Forecasts, that there is an ’attraction’ to conform to the mean forecasts; in other words, views expressed by other forecasters in the previous period influence individuals’ current forecast. The paper then discusses– and provides further evidence on–two important implications of this finding. The(More)
Fertility in Sub-Saharan African Countries with Consideration to Health and Poverty Fertility has begun to fall in Sub-Saharan Africa but it remains high on average and particularly for a few countries. This paper examines African fertility using a panel data set of 47 Sub-Saharan countries between 1962 and 2003. Fixed and random country effect estimates(More)
A spurious regression occurs when a pair of independent series, but with strong temporal properties, are found apparently to be related according to standard inference in an OLS regression. Although this is well known to occur with pairs of independent unit root processes, this paper finds evidence that similar results are found with positively(More)
The Easterlin hypothesis emphasizes the effect of relative cohort size on fertility. Models based on the Easterlin hypothesis have performed well in explaining time series fertility data, although these results have been for long historical time series and have typically been restricted to single country studies. These models are not adequate to determine(More)
In modeling series with leading or lagging indicators, it is desirable to begin comparing models in terms of time distance. This paper formalizes the concept of time distance in terms of various metrics, and investigates the behaviors of these metrics. It is shown that under some circumstances, time distance metrics indeed perform better in forecasting than(More)