We are going to use the Phillips curve and Okun's law, together with real world data, to try and quantify the Covid supply shock in Canada. The Phillips curve is: T = E(T) - B(u - un) + v and Okun's law is: -B (u - un) = 1 ( Y - Y) All the variables and parameters are as defined in class. Let assume O = 8 and 3 = 0.3.\fI could not find easily available data on inflation expectations, so we are going to approximate this variable. More specifically, we are going to assume that agents form expectations according to the rule: E (11') : U. 511' + 0. 57111, so that we can compute: E (772020621) : 0- 5W2020Q1 -l- 0. 5W2019Q3 E (W2020Q2) : 0- 53172020492 + 0. 5W2020Q1 a. Use the Phillips curve equation and Okun's law, together with the expression for expectations, the given parameter values, the inflation rate data for 2019Q4 and 2020Q1, and the output gap data for 2020Q1, to compute the value of the supply shock 'U for 2020Q1. Show your work. b. Use the Phillips curve equation and Oku n's law, together with the expression for expectations, the given parameter values, the inflation rate data for 2020Q1 and 2020Q2, and the output gap data for 2020Q2, to compute the value of the supply shock 'U for 2020Q2. Show your work. c. Answer the following questions: i. Are the signs of the supply shocks that you computed in the previous questions consistent with what you would have expected? ii. According to our setup, in which one of these quarters was the Covid supply shock bigger in Canada