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Year: 2013 Publisher: Rockville, MD : Agency for Healthcare Research and Quality (US),
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Year: 1966 Publisher: Stockholm: Almqvist och Wiksell,
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Year: 1964 Publisher: Englewood Cliffs (N.J.) : Prentice-Hall,
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ISBN: 0803970757 Year: 2001 Publisher: Thousand Oaks (Calif.) : Sage,
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Year: 1967 Publisher: New York: Wiley,
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Year: 2013 Publisher: Rockville, MD : Agency for Healthcare Research and Quality (US),
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Year: 1989 Publisher: Cambridge, Mass. National Bureau of Economic Research
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This paper explores the time series implications of introducing credit constraints into a production based asset pricing model. Simulations are performed choosing parameter values which generate reasonable values for aggregate fluctuations. These results show that mean reversion in simulated returns series, measured by variance ration tests, is enhanced with the introduction of binding credit constraints. Without these constraints there is very little evidence of mean reversion. This is consistent with financial market data where the weak evidence for mean reversion is stronger in small firm returns. Other tests are run on the simulated series including checking the standard deviation, skewness, and kurtosis. These other tests do not show strong differences between the constrained and unconstrained firms in the model.
Film
ISBN: 9781473985551 Year: 2017 Publisher: London, United Kingdom : SAGE Publications Ltd,
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Professor Ben Lambert presents the fifth installment of the ANOVA series. In this chapter, he demonstrates how to calculate wage variance based on education levels. His primary focus is deriving maximum likelihood.
Film
ISBN: 9781473985636 Year: 2017 Publisher: London, United Kingdom : SAGE Publications Ltd,
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In this thirteenth chapter of the ANOVA series, Professor Ben Lambert brings tables into the two-way mix. This extends the previous conversation about calculations using age and gender.
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ISBN: 9781473985629 Year: 2017 Publisher: London, United Kingdom : SAGE Publications Ltd,
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In chapter 12, Professor Ben Lambert expands his statistic demonstrations to include two-way ANOVA. The example in this segment includes separating results by both age group and gender.
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