Econometrics Essay Example | Topics and Well Written Essays - 750 words - 2

Econometrics - Essay Exampled) Assume that you run a regression with 223 observations. The dependent versatile is yearbook salary and there are 3 independent variables work experience in years, learning duration in years and number of employees in company. The regression yields following result for the variable number of employees in companye) A researcher wants to find out whether old age has an effect on how happy race are. The researcher runs a regression with the dependent variable happiness score (0 to 10 with 10 being passing satisfied) and the independent variable age (in years). The modelling results show that age is non signifi basist. You also have a look at the residual plot (shown below). Please explain wherefore the residual plot indicates that the regression generated by the researcher is misleading. Discuss what relationship you expect between age and happiness. Outline how you could work this into the sign regression model and hence, improve it (10 marks).From the analysis of the residual below it can be observed that the residua are symmetrical. The residual also have everlasting variance. This means that the assumption of constant variance is fulfilled. We therefore expect a crucial relationship between the age and happiness. To improve the initial regression model, we would ensure that other variables that influence the happiness are introduced into the regression model.f) You want to know whether people with higher incomes are happier. Your friend has run a survey in their company and run a regression on the data. The dependent variable is happiness score (0 to 10 with 10 being extremely satisfied). There is only one independent variable monthly income (in ). Your friend sends you the gretl output of the regression via email. Unfortunately, the wedge got corrupted and only the critical F-value is legible (see below). Using this output, show that monthly income is indeed highly significant (provide