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Richard Hardy
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Dickey-Fuller test for GDP sample size 14 unit-root null hypothesis: a = 1

test with constant model: (1-L)y = b0 + (a-1)*y(-1) + e 1st-order autocorrelation coeff. for e: 0.060 estimated value of (a - 1): -0.784054 test statistic: tau_c(1) = -2.88716 p-value 0.07195

Dickey-Fuller test for Arrivals sample size 13 unit-root null hypothesis: a = 1

test with constant model: (1-L)y = b0 + (a-1)*y(-1) + e 1st-order autocorrelation coeff. for e: -0.247 estimated value of (a - 1): 0.321498 test statistic: tau_c(1) = 4.63155 p-value 1

Dickey-Fuller test for GDP 
sample size 14
unit-root null hypothesis: a = 1

   test with constant 
   model: (1-L)y = b0 + (a-1)*y(-1) + e
   1st-order autocorrelation coeff. for e: 0.060
   estimated value of (a - 1): -0.784054
   test statistic: tau_c(1) = -2.88716
   p-value 0.07195

Dickey-Fuller test for Arrivals
sample size 13
unit-root null hypothesis: a = 1

   test with constant 
   model: (1-L)y = b0 + (a-1)*y(-1) + e
   1st-order autocorrelation coeff. for e: -0.247
   estimated value of (a - 1): 0.321498
   test statistic: tau_c(1) = 4.63155
   p-value 1

Can you tell me if P value is 1/0.07 then it's stationary or not?

Dickey-Fuller test for GDP sample size 14 unit-root null hypothesis: a = 1

test with constant model: (1-L)y = b0 + (a-1)*y(-1) + e 1st-order autocorrelation coeff. for e: 0.060 estimated value of (a - 1): -0.784054 test statistic: tau_c(1) = -2.88716 p-value 0.07195

Dickey-Fuller test for Arrivals sample size 13 unit-root null hypothesis: a = 1

test with constant model: (1-L)y = b0 + (a-1)*y(-1) + e 1st-order autocorrelation coeff. for e: -0.247 estimated value of (a - 1): 0.321498 test statistic: tau_c(1) = 4.63155 p-value 1

Can you tell me if P value is 1/0.07 then it's stationary or not?

Dickey-Fuller test for GDP 
sample size 14
unit-root null hypothesis: a = 1

   test with constant 
   model: (1-L)y = b0 + (a-1)*y(-1) + e
   1st-order autocorrelation coeff. for e: 0.060
   estimated value of (a - 1): -0.784054
   test statistic: tau_c(1) = -2.88716
   p-value 0.07195

Dickey-Fuller test for Arrivals
sample size 13
unit-root null hypothesis: a = 1

   test with constant 
   model: (1-L)y = b0 + (a-1)*y(-1) + e
   1st-order autocorrelation coeff. for e: -0.247
   estimated value of (a - 1): 0.321498
   test statistic: tau_c(1) = 4.63155
   p-value 1

Can you tell me if P value is 1/0.07 then it's stationary or not?

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Dickey–Fuller unit-root test

Dickey-Fuller test for GDP sample size 14 unit-root null hypothesis: a = 1

test with constant model: (1-L)y = b0 + (a-1)*y(-1) + e 1st-order autocorrelation coeff. for e: 0.060 estimated value of (a - 1): -0.784054 test statistic: tau_c(1) = -2.88716 p-value 0.07195

Dickey-Fuller test for Arrivals sample size 13 unit-root null hypothesis: a = 1

test with constant model: (1-L)y = b0 + (a-1)*y(-1) + e 1st-order autocorrelation coeff. for e: -0.247 estimated value of (a - 1): 0.321498 test statistic: tau_c(1) = 4.63155 p-value 1

Can you tell me if P value is 1/0.07 then it's stationary or not?