Flexible vector network analyzer calibration with accuracy bounds using an 8-term or a 16-term error correction model

1994 ◽  
Vol 42 (6) ◽  
pp. 976-987 ◽  
Author(s):  
H. Van Hamme ◽  
M. Vanden Bossche
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Vector Network Analyzer ◽  
Network Analyzer ◽  
Correction Model

Pengaruh Jangka Pendek Dan Jangka Panjang Variabel Makro Ekonomi Terhadap Ihsg Di Bursa Efek Indonesia Dengan Pendekatan Error Correction Model (ECM)

2019 ◽  
Vol 6 (1) ◽  
pp. 12-24
Author(s):  
Suryo Refli Ranto
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Correction Model

Penelitian ini bertujuan untuk menguji secara empiris pengaruh jangka pendek dan jangka panjang dari Inflasi, Jumlah Uang Berjalan, Kurs, Tingkat Bunga Bank Indonesia, Harga Minyak Dunia (WTI) dan Net Ekspor terhadap Indeks Harga Saham Gabungan (IHSG) dengan metode Error Correction Model (ECM) yang diolah dengan eviews 6.0. Selama periode pengamatan yaitu tahun 2000-2012 terjadi hubungan antara variabel makro dengan pergerakan IHSG di Bursa Efek Indonesia (BEI). Hasil uji ECM memperlihatkan Inflasi, kurs dan harga minyak dunia berpengaruh signifakan terhadap IHSG pada jangka pendek sedangkan pada jangka panjang variabel yang signifikan mempengaruhi IHSG adalah IHK, kurs, net ekspor dan harga minyak dunia.Kata kunci : IHSG, IHK, JUB, Kurs, tingkat Bunga Bank Indonesia (rSBI), Harga Minyak Dunia (WTI), Net Ekspor dan Error Correction Model (ECM) 

Corporate Taxes and Foreign Direct Investment: An Impact Analysis

2020 ◽  
Vol 5 (2) ◽  
pp. 28-43
Author(s):  
Onome Christopher Edo ◽  
Anthony Okafor ◽  
Akhigbodemhe Emmanuel Justice
Keyword(s):  
Foreign Direct Investment ◽  
Error Correction ◽  
Direct Investment ◽  
Impact Analysis ◽  
Negative Relationship ◽  
Value Added ◽  
Positive Association ◽  
Error Correction Model ◽  
Corporate Taxes ◽  
Correction Model

Objective – The purpose of this study is to investigate the effect of corporate taxes on the flow of Foreign Direct Investment (FDI) in Nigeria between 1983 and 2017. Methodology/Technique – This study adopts an ex-post facto research design. Secondary data was sourced from the World Bank Development Indicator, the Central Bank of Nigeria database, and the Federal Inland Revenue database. The research data was analyzed using the Error Correction Model (ECM). Findings – The coefficient of determination (R2) shows that approximately 77% of systematic changes in FDI are attributed to the combined effect of all of the explanatory variables used in this study. Specifically, the study concludes that Company Income Tax, Value Added Tax, and Custom and Excise Duties have a significant but negative relationship with FDI. In contrast, Tertiary Education Tax has a positive association with FDI. Further, Exchange Rate has a negative but significant relationship with FDI, Inflation had an insignificant but positive association with FDI, and GDP growth Rate and Trade Openness demonstrate a positive and significant association with FDI. Novelty – The findings of this study are distinguishable from previous studies, as it uncovers new evidence that higher Education Tax Rates influences FDI and emerging evidence on the effect of non-tax variables on FDI inflow. Type of Paper: Empirical. JEL Classification: E22, F21, H2, P33. Keywords: Corporate Taxes; Foreign Direct Investment; Error Correction Model; Nigeria; Non-Tax Variables. Reference to this paper should be made as follows: Edo, O.C; Okafor, A; Justice, A.E. 2020. Corporate Taxes and Foreign Direct Investment: An Impact Analysis, Acc. Fin. Review 5 (2): 28 – 43. https://doi.org/10.35609/afr.2020.5.2(1)

Dependence structure between money and economic activity: A Markov-switching copula VEC approach

2021 ◽  
pp. 1-17
Author(s):  
Apostolos Serletis ◽  
Libo Xu
Keyword(s):  
Error Correction ◽  
Economic Activity ◽  
Regime Switching ◽  
Markov Switching ◽  
Tail Dependence ◽  
Error Correction Model ◽  
Dependence Structure ◽  
Copula Models ◽  
Correction Model ◽  
Dependence Structures

Abstract This paper examines correlation and dependence structures between money and the level of economic activity in the USA in the context of a Markov-switching copula vector error correction model. We use the error correction model to focus on the short-run dynamics between money and output while accounting for their long-run equilibrium relationship. We use the Markov regime-switching model to account for instabilities in the relationship between money and output, and also consider different copula models with different dependence structures to investigate (upper and lower) tail dependence.

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