Master Level, Use of STATA, Orbis and Zephyr, has to contain patents data, merger and acquisition data, Please use all 3 databases.
Use of STATA, Orbis and Zephyr, has to contain patents data
Master Level, Use of STATA, Orbis and Zephyr, has to contain patents data, merger and acquisition data, Please use all 3 databases. The paper also requires statistical models such as a regression for example, 4000 words, 15 pages, times new roman 12, I also added my slides and example studies. The assessment form is also in there which is very important. Please read them to get a picture of the required level. I also added my own proposal with the feedback I got from the lecturer please read the feedback to start.
More details;
Firm-level data is becoming increasingly important in international macro/finance, international development and productivity research. Policy prescriptions in these fields are based on the predictions of macro models and many such macro models rely on firm-level heterogeneity for their predictions. Understanding the effects of globalisation on domestic production. Also, investigating the role of access to finance for productivity. Further, comparing multinationals’ productivity to that of domestic firms and measuring knowledge spillovers to the domestic economy.
Moreover, analyzing the determinants of firm-level productivity and connecting these determinants to aggregate productivity. Additionally, investigating innovation and entrepreneurship. Also, determining which businesses succeed and become competitive and what role financial frictions play in such competitiveness. Linking firms’ financing decisions to their own investment and employment decisions and then in turn to aggregate economy outcomes. These are issues that can only be satisfactorily studied with firm-level data. Investigating the implications of real-financial linkages at the micro level is more imperative than ever in order to be able to formulate the right policy responses in the aftermath of important events such as financial crises.
