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This paper is an investigation of causal relationships that exist between macroeconomic variables in Nigeria context. These variables are interest rate, inflation rate, exchange rate, real gross domestic product, and unemployment rate. Often, a variable can better be forecasted by introducing past and current values of some other variables in the ARMA model or its AR approximation. We achieved this by employing an augmented VAR approach, such as the procedure proposed by Toda-Yamamoto. This current work included a unit-root test with trend break functions without a priori information. Specifically, we employed the extended Augmented Dickey-Fuller test through innovational outlier and additive outlier models. The truncation parameter was selected using the t-sig and F-sig general to specific recursive techniques. Unknown breakpoints were observed, which indicates a strong connection with the data.
Alabi Nurudeen Olawale. 2019. \u201cInvestigating the Causality between Unemployment Rate, Major Monetary Policy Indicators and Domestic Output using an Augmented Var Approach: A Case of Nigeria\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 19 (GJHSS Volume 19 Issue E6).
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 102
Country: Nigeria
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Alabi Nurudeen Olawale, Bada Olatunbosun (PhD/Dr. count: 0)
View Count (all-time): 213
Total Views (Real + Logic): 2675
Total Downloads (simulated): 1265
Publish Date: 2019 08, Mon
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