1. (4 points) Write an Eviews program that does the following. Upload the code (prg file) to ELMS and also copy the contents of the code to your write-up: a. Create a monthly workfile from 1980M1 to 2018M12 b. Get the following two variables from FRED: i. Industrial Production: Manufacturing (NAICS) (Monthly, Seasonally Adjusted) ii. All Employees: Manufacturing (Monthly, Seasonally Adjusted, thousands of persons) c. Generate two new variables: i. g_ip Growth rate of ip, computed as the change in the log of the industrial production manufacturing index ii. g_emp Growth rate of emp, computed as the change in the log of the all employees of the manufacturing industry d. Do a scatter plot of g ip (y-axis) vs. g_emp (x-axis) with the regression line and save the resulting figure as "Figure 1". e. Run a regression of g_emp on a constant, g_ip and first lag of g_ ip and store the resulting output as a table called "Table 1". 1. (4 points) Write an Eviews program that does the following. Upload the code (prg file) to ELMS and also copy the contents of the code to your write-up: a. Create a monthly workfile from 1980M1 to 2018M12 b. Get the following two variables from FRED: i. Industrial Production: Manufacturing (NAICS) (Monthly, Seasonally Adjusted) ii. All Employees: Manufacturing (Monthly, Seasonally Adjusted, thousands of persons) c. Generate two new variables: i. g_ip Growth rate of ip, computed as the change in the log of the industrial production manufacturing index ii. g_emp Growth rate of emp, computed as the change in the log of the all employees of the manufacturing industry d. Do a scatter plot of g ip (y-axis) vs. g_emp (x-axis) with the regression line and save the resulting figure as "Figure 1". e. Run a regression of g_emp on a constant, g_ip and first lag of g_ ip and store the resulting output as a table called "Table 1