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A Study of the Treatment of Time in the Plays of Lyly, Marlowe, Greene, and PeeleFussell, Mildred 06 1900 (has links)
Because Shakespeare borrowed so many ideas and devices from other writers, we wonder whether he also borrowed the trick of double time from some of his predecessors; therefore one of the purposes of this study is to discover whether or not this device was original with Shakespeare. In this study I have considered the works of John Lyly, Christopher Marlowe, Robert Greene, and George Peele because these four seem to have influenced Shakespeare more than did any of the other of his immediate predecessors. To discover what influence, if any, these men had upon Shakespeare ts treatment of time is not, however, the only purpose of this study; for I am also interested in the characteristics of the works of these men for their own values, independent of any influence which they may have had on the works of Shakespeare.
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Cross-sectional dependence model specifications in a static trade panel data settingLeSage, James, Fischer, Manfred M. 25 March 2019 (has links) (PDF)
The focus is on cross-sectional dependence in panel trade flow models. We propose alternative
specifications for modeling time invariant factors such as socio-cultural indicator variables,
e.g., common language and currency. These are typically treated as a source of heterogeneity
eliminated using fixed effects transformations, but we find evidence of cross-sectional dependence
after eliminating country-specific and time-specific effects. These findings suggest use of
alternative simultaneous dependence model specifications that accommodate cross-sectional dependence,
which we set forth along with Bayesian estimation methods. Ignoring cross-sectional
dependence implies biased estimates from panel trade flow models that rely on fixed effects. / Series: Working Papers in Regional Science
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The role of socio-cultural factors in static trade panel modelsFischer, Manfred M., LeSage, James P. 17 May 2018 (has links) (PDF)
The focus is on cross-sectional dependence in panel trade
flow models. We propose alternative
specifications for modeling time invariant factors such as socio-cultural indicator variables, e.g.,
common language and currency. These are typically treated as a source of heterogeneity eliminated using fixed effects transformations, but we find evidence of cross-sectional dependence after eliminating country-specific effects. These findings suggest use of alternative simultaneous dependence model specifications that accommodate cross-sectional dependence, which we set forth along with Bayesian estimation methods. Ignoring cross-sectional dependence implies biased estimates from panel trade flow models that rely on fixed effects. / Series: Working Papers in Regional Science
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Cross-sectional dependence model specifications in a static trade panel data settingLeSage, James P., Fischer, Manfred M. January 2017 (has links) (PDF)
The focus is on cross-sectional dependence in panel trade
flow models. We propose alternative
specifications for modeling time invariant factors such as socio-cultural indicator variables, e.g.,
common language and currency. These are typically treated as a source of heterogeneity eliminated
using fixed effects transformations, but we find evidence of cross-sectional dependence
after eliminating country-specific effects. These findings suggest use of alternative simultaneous
dependence model specifications that accommodate cross-sectional dependence, which we
set forth along with Bayesian estimation methods. Ignoring cross-sectional dependence implies
biased estimates from panel trade flow models that rely on fixed effects. / Series: Working Papers in Regional Science
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