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; moderate in the linear correlation; and small in rank-based measures. However, with important exceptions: persistence in the …
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almost all these papers ignore the bias in the estimated standard errors that serial correlation introduces. This is …
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coefficient. In contrast, intergenerational correlation and intergenerational rank correlation are much more robust to such data …-rank regression. Sibling correlation is a broader measure of mobility, particularly useful with limited data. Estimating causal … causal effects of policies on intergenerational regression coefficient, intergenerational correlation, and intergenerational …
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The Schwartz–Smith two-factor model is commonly used for pricing of derivatives in commodity markets. For estimating and forecasting the term structures of futures prices, the logarithm of commodity spot price is represented as the sum of short- and long-term factors being the unobservable...
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