“Society is never the same as the one that existed before the calamity. For good or ill, calamities are unquestionably the supreme disruptors and transformers of social organization and institutions.”(Pritim Sorokin) The Covid19 pandemic invaded the world like a silent dark shadow. Originating as pneumonia alike disease in the city of Wuhan in China on […]
Demystifying De-globalization in Post-Covid World Read More »
While modelling specific phenomenon’s in economics, sometimes we might encounter a functional form which may not be linear in the explanatory variables. Assuming, that we still have linearity in the estimators, we have the capability to include in the regression, variables with powers. As an example, consider the following model: The last equation presents the
Investigating Non-linear relationships with curvefit using Stata Read More »
انا مش قادر افهم… بتضيع فلوسك ووقتك عشان تاخد شهادة مش معترف بيها بره محافظتك و تتعلم تعليم ملهوش اى علاقة بعلم و تتخرج تدور علي شغل بمؤهلاتك متلاقيش…. متلمش الا نفسك فى الاخر التعليم فى المانيا ببلاش لكل مراحل التعليم حتى الدكتوراه, و منح كتير جدا عشان متصرفش مليم من جيبك و فرص شغل
Big brands have changed their logos to rainbow flags in support of gay and minority rights for a whole month. With the public projections of Hebdo caricatures of the Islam prophet Mohamed on a local government building, while heavily armed police officers stood guard. We – the international and multireligious team of M&S Research Hub
Why we have changed our logo for a month Read More »
Log-linearisation in Short with an example
Log-linearisation in Short Read More »
The test of Box & Pierce was derived from the article “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models” in the Journal of the American Statistical Association (Box & Pierce, 1970). The approach is used to test first-order serial correlation, the general form of the test is given the statistic as: Where
Box-Pierce Test of autocorrelation in Panel Data using Stata. Read More »
In regression analysis, we often check the assumptions of the econometrical model regressed, during this, one of the key assumptions is that the model has no omitted variables (and it’s correctly specified). In 1969, Ramsey (1969) developed an omitted variable test, which basically uses the powers of the predicted values of the dependent variable to
Ramsey RESET Test on Panel Data using Stata Read More »
Many statistical and econometric procedures depend on the assumption of normality. The importance of the normal distribution lies in the fact that sums/averages of random variables tend to be approximately normally distributed regardless of the distribution of draws. The central limit theorem explains this fact. Central Limit Theorem is very important since it provides justification
Learning Central Limit Theorem with Microsoft Excel Read More »
