Vector Error Correction Model (VECM)

  • Topics of Today’s exercise
  • VECM, Lag Length Selection, 
  • Granger Causality Test, Impulse Response Function 

In this lab exercise, we will again use the data from lab4 for testing long run relation-

ship for taylor’s rule and uncovered interest rate parity. The US interest rate data is

retrieved from US Federal Reserve at St. Louis https://fred.stlouisfed.org.

 

Data Files We will again focus on the following six variables with in-sample data

set to 1990Q1 to 2019Q4:

 

D1: Canada Data file (CAN_Big_Data.csv)

 

1 GDP_new GDP total Canadan GDP v41881478

2 NHOUSE_P_CAN New housing price index v111955442

3 TBILL_3M US Treasury bills (3 months)

4 TBILL_3M Treasury bills (3 months) v122541

5 realUSDCAD Exchange rate CADUSD v37426 v111666275

6 CPI_ALL_NF Consumption price index (CPI) (all)

 

  1. Report Summary Statistics

     

Summary Statistics

  Mean S.D. Min Max
Real GDP        
Housing Price        
Tbill        
US Tbill        
FX        
Inflation        

 

  1. Estimate a VAR(2) Model with all six variables in stationary form

 

 

  1. Lag Length Selection using AIC and SC

What is the optimal lag length?

 

  1. Report Granger Causality Test

 

Should we drop any of the variables in the system? Does inflation Granger cause GDP to change?

 

  1. Estimate the VECM using the optimal lag length from Q3.

This model is not optimal. We need to run through a series of cointegration test before finalizing the model. 

6. Johansen test for number of cointegrating vectors with no constant but trend in the CE. 

 

Johansen (trace) test for Rank(P) = 0

 

H0: r = 0                H0: r > 0

 

Level of significance = 5%                                   N = 

 

Johansen (Trace) stat =                             p-value = 

 

Conclusion:

 

Repeat for Rank(P) = 1

H0: r = 1                H0: r > 1

 

Level of significance = 5%                                   N = 

 

Johansen (Trace) stat =                             p-value = 

 

Conclusion:

 

 

Johansen Max test for Rank(P) = 0

 

H0: r = 0                H0: r =1 

 

Level of significance = 5%                                   N = 

 

Johansen (max) stat =                               p-value = 

 

Conclusion

 

 

H0: r = 1                H0: r =2 

 

Level of significance = 5%                                   N = 

 

Johansen (max) stat =                               p-value = 

 

Conclusion

 

  1. Report the summary table for Johansen tests for all five specifications

 

What is the best model for the data based on AIC?

 

  1. Impulse Responses on GDP from 1sd tbill shock with the ordering as

 GDP, Inflation, FX, tbill, US_tbill

 

What is 1 sd tbill shock? 

What is the impact on GDP for 1 month =      4 month =             12 month=

 

 

GRAPH and Table

 

Repeat with this ordering

CAN_GDP, IPP, Inflation, US_GDP, OIL

 

GRAPH and Table

 

What is the impact on GDP for 1 month =       4 month =             12 month=

 

 

  1. Forecast GDP growth for the next two years and graph the actual and forecasted data.