Please help me out anyone by telling me how can I run a pooled regression for my dataset and equation.or is it even possible.to take these data from three different sheets and accordingly run it because otherwise I have to take mean returns of all companies and mean PE of all companies and run the regression which would be less satisfactory to my dissertation research. The equation I constructed to test whether there are any PE, Expected PE or time lag PE effects on Abnormal Returns is as follows:Ībnormal Return (t) = α+β1 (PE t-1)+β2(PE t)+β3 (PE t+1)+ β4(Profitability t)+ε Also should I go for fixed effects/common/ random effects intercept option? Firstly, what should I consider as my common coefficient/cross section coefficient.in the estimation box options. I was confused regrading what should i select in the estimation box options. So please could anyone tell me whether it is possible to run this regression in eviews? And the two independent/ explanatory variables are their PE ratios, current and next year and profitability measures respectively (both of which are also considered fr the same time period of 10 years). Here my dependent variable are the returns of the 202 stocks over a 10 yr time period. ISBN, A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel. I have read online on how to do it.but still am not sure of the process and also did not find any appropriate examples, or one similar to my case. The results suggest the indicator of the availability of bank credit to be positively correlated with the trade credits provided and received that is consistent with the concept of complementarity between bank and trade credits.Hey I have to regress abnormal returns for 202 companies over a period of 10 years (between 2004-2013) against their respective PE ratios and a Profitability measure for the same time period. The compilation of the dataset, all calculations and estimation of regressions are made with the help of computer programmes MS Excel, Eviews 8 and R. (LS is the name for the EViews command to estimate an ordinary Least Squares regression.)The first variable is the dependent variable, the variable we’d like to explain pce in this case. I n EViews you specify a regression with the ls command followed by a list of variables. The research expects to apply methods of descriptive statistics, correlation, cluster and regression analyses. Now we want to scientifically investigate the relationship between pce and income. I intend to use panel data for 16 emerging countries and seven-year time period to study the dynamics of trade receivables and trade payables during and after financial crisis of 2008. The close investigation of the dynamics of trade credits may help to develop policy measures to support SMEs in periods of recessions that constitutes the relevance of the future research. This paper aims to define the relationship between trade and bank credits during monetary constraints and explain the role of trade credit mechanism in the transmission of monetary policy to the real sector of the economy.
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