Cheng F. Lee's Advances in Quantitative Analysis of Finance and Accounting PDF

By Cheng F. Lee

Advances in Quantitative research of Finance and Accounting, New sequence is an annual ebook designed to disseminate advancements within the quantitative research of finance and accounting. it's a discussion board for statistical and quantitative analyses of matters in finance and accounting, in addition to functions of quantitative the right way to difficulties in monetary administration, monetary accounting, and enterprise administration. the target is to advertise interplay among educational learn in finance and accounting, utilized examine within the monetary group, and the accounting occupation.

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Extra resources for Advances in Quantitative Analysis of Finance and Accounting Volume 2

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In any particular equation tested, however, only one of the two deflated sets of variables is used. The decision as to which set to use is based primarily, but not RND SGA Unique Audience SGAPP Time Per Person RNDPP Visits Per Person Pageviews Ads served Click-throughs Sales Figure 2. Path analysis diagram. Solid and dashed arrows both indicate the predicted direction of causality between any two variables. Please see the Appendix for an explanation of these variables.

2 In the survey asking inventors about the degree of intellectual communication they have with the inventors of three previous patents. Two of these previous patents were actually cited by the surveyed inventors before. The third previous patent was a “placebo” patent that was actually not cited by the surveyed inventor, but which was granted in the same patent class and year as one of the actually cited patents. This placebo was not distinguished from the others in the survey questionnaire. As such, the difference in spillover scores between “actual citations” and “placebo citations” reflects the reliability of the former as a measure of knowledge spillovers.

Finally, interindustry knowledge spillovers to firm i can be derived from TRA(i, j, t) and INT(i, j, t), which is TER(i, j, t) = TBC(i, j, t) − TRA(i, j, t) − INT(i, j, t), where TBC(i, j, t) is the total number of backward citations made by firm i. TER(i, j, t) is essentially the number of backward citations made by firm i to the patents held by firms outside industry j , which measures the spillovers to firm i from sources that are external to industry j . These external sources could be upstream industries that supply intermediate goods to industry j , or industries that produce totally unrelated products.

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