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I need someone to download data of the SBF120 (france index) via Workspace and do regression analysis′ via R. It is to look at the implementation of a policy: the gender quota implemented in 2011 in France, where 40% of the Board of directors had to be female. So the percentage of female directors is important for the data. I want to look at the effect of this policy via different firm performance metric′s like ROA, ROE and Tobin′s Q. It is sectoral analysis, where I want to look at the difference between high-tech and low-tech firms. The difference between high and low tech firms are made via innovation aspects of firms, innovation input (R&D expenses), innovation output(Patents& Citations) and innovation efficiency (patents and citations per euro of R&D). After this innovation aspects are downloaded there need to be 2 groups of firms, one that falls in the high-tech group and one in the low-tech group, how exactly is something I hope the geek can decide when they see the downloaded data.
So a dataset needs to be downloaded from refinitiv Eikon/Workspace where all this data is in, and then it needs to be analysed via regression analysis in R in a Differences in differences analysis. Where one group that is hit by the policy is high tech, and the other is low tech. The years that need to be analysed are from 2009 to 2023. I need these tables from the data:
Summary statistics table
Correlation matrix
Regression results for accounting based measures ROE ROA and market based measure Tobin′s Q
Variable definitions
Also I would like graphs from the different firm performance metrics.
Attached is some background information about
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