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Panel 1C (LGPRICE) Panel 1D (INF) Exogenous: Constant, Linear Trend Exogenous: Constant, Linear Trend Lag Length: 0 (Automatic - based on SIC, Lag Length: 0
Panel 1C (LGPRICE) Panel 1D (INF) Exogenous: Constant, Linear Trend Exogenous: Constant, Linear Trend Lag Length: 0 (Automatic - based on SIC, Lag Length: 0 (Automatic - based on SIC, maxlag=18) maxlag=18) t-Statistic Prob.* t-Statistic Prob.* Augmented Dickey-Fuller test Augmented Dickey-Fuller test statistic -2.446591 0.3550 statistic -13.41585 0.0000 Test critical Test critical values: 1% level -3.972925 values: 1% level -3.972949 5% lev -3.417083 5% level -3.417095 10% 10% level -3.130918 level -3.130925 (d) Interpret the unit root test results in Panels 1C and 10. What can you infer about the stationarity property of LGPRICE and INF? [2] (e) The regression output of LGPRICE on INF is shown below. Can you infer from this regression result? Explain. [2] Dependent Variable: LGPRICE Method: Least Squares Date: 09/27/21 Time: 12:10 Sample (adjusted): 1970M01 2021M08 Included observations: 620 after adjustments Variable Coefficient Std. Error t-Statistic Prob INF 0.034774 0.005112 6.802009 0.0000 C 4.433328 0.05039 87.97825 0.0000 @TREND 0.004722 0.000112 42.04205 0.0000 R-squared 0.760146 Mean dependent var 6.032612 Adjusted R-squared 0.759369 S.D. dependent var 0.909837 S.E. of regression 0.446313 Akaike info criterion 1.229234 Sum squared resid 122.9034 Schwarz criterion 1.250668 Log likelihood 378.0625 Hannan-Quinn criter. 1.237565 F-statistic 977.7008 Durbin-Watson stat 0.077781 Prob(F-statistic) 0.000000
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