1. Granger causality in Vector Error Correction Model is employed when cointegration is detected to avoid problem of mis

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

1. Granger causality in Vector Error Correction Model is employed when cointegration is detected to avoid problem of mis

Post by answerhappygod »

1 Granger Causality In Vector Error Correction Model Is Employed When Cointegration Is Detected To Avoid Problem Of Mis 1
1 Granger Causality In Vector Error Correction Model Is Employed When Cointegration Is Detected To Avoid Problem Of Mis 1 (104.55 KiB) Viewed 72 times
1. Granger causality in Vector Error Correction Model is employed when cointegration is detected to avoid problem of misspecification. Table 1 shows the results from a study which examine the interrelationship between external debt and economic growth in ASEAN-3 countries from 1970 - 2014. The model consists of 4 variables namely gross domestic product (GDP), external debt (ED), exports (EX), and budget balance (BD). Table 1: Granger Causality results ? GDP ?ED ?EX ?BD ECT Coefficient t-statistic statistics Dependent variables Panel A: Malaysia ? GDP 0.000(0.998) -0.003 -1.519 0.104(0.747) 5.1870.023) ** ?ED ?EX ?BD 4366 0.465(0.495) 0.398(0.528) 7.819(0.005** 0.409(0.523) 4.174(0.041) ** 1.401(0.237) 0.382(0.536) 1319(0.251) 0.308 0.055 -0.110 0.713 -3.061** 0.801(0.371) Panel B: Thailand ? GDP ?ED 7.234(0.007) ** 1.907 5.576(0.018)** 5.299(0.021)** 20.739(0.000)** 0.001(0.976) 0.165(0.685) 0.168(0.682) 0.010 0.105 -0.408 1.344 ?EX 0.49 7(0.481) 1.745(0.187) 0.179(0.673) 0.465 -1.972** -1.885 ?BD 10.573(0.001)** 1.091(0.296) 0.145(0.703) -1.006 Panel C: Philippines ? GDP ?ED ?EX -1.672 0.141(0.707) 0.032(0.858) 0.40 7(0.524) 0.156(0.693) 5.786(0.016)** 0.469(0.493) 2.925(0.087) 0.699(0.403) 0.498 0.055 0.024(0.877) 2.170(0.141) 4.079 0.540 -6.546** ?BD 27 37000.000)** -0.151 Notes : The x? - statistic tests the joint significance of the lagged values of the independent variables, and term(s); Figures in the parentheses are the p - values; ? is the first difference operator; ** denotes statistically the significance of the error correction significant at 5 percent level. a. Explain how VECM allows in distinguishing between short-run and long-run causality. b. What are the conditions of a ECT? From the results above, what do the coefficients of the error correction terms (ECTS) indicate? C. Explain how fast is the adjustment to long-run equilibrium for each country at 5 percent significance level. d. The F-test or Wald x2 of the explanatory variables indicates the short-run causal effects. Given the results above, determine and discuss the direction of causality.
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply