scholarly journals An Empirical Study on the Relationship of Fiscal Revenue toWelfare Lottery and Non-tax Revenue Based on Co-integration Theory and Vector Error Correction Model

2012 ◽  
Author(s):  
Chen Yu ◽  
Liu Haiying ◽  
Xiang Yi
Keyword(s):  
Empirical Study ◽  
Integration Theory ◽  
Tax Revenue ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Fiscal Revenue ◽  
Relationship Of ◽  
The Relationship

Hunting the Snark: A Reply to “Re-Evaluating Valence Models of Political Choice”

2015 ◽  
Vol 4 (1) ◽  
pp. 221-240 ◽  
Author(s):  
Paul Whiteley ◽  
Harold Clarke ◽  
David Sanders ◽  
Marianne Stuart
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Electoral Choice ◽  
Party Preference ◽  
The Relationship ◽  
Valence Politics

This paper responds to Evans and Kat’s critique of the valence politics model of electoral choice. Their critique is deficient in several respects. First, the authors do not test the valence politics model, which is motivated by a theory of voting rather than a claim about the relationship between generalized measures of “party preference” and “party performance.” Second, Evans and Kat do not provide theoretical grounding for partisanship, which they claim is strongly exogenous to other variables of interest. Third, there are several specification and testing problems with their structural equation model. We study the properties of the valence model using a vector error correction model of aggregate monthly survey data gathered throughout the New Labour Era. Consistent with theoretical expectations, key valence politics variables constitute a powerful cointegrated system in which the dynamics of partisanship are endogenous to other variables in the system.

scholarly journals An Econometric Analysis of Inflation and Unemployment in Lebanon: A Vector Error Correction Model (VECM)

2018 ◽  
Vol 10 (2) ◽  
pp. 133
Author(s):  
Mohammad Khanssa ◽  
Wafaa Nasser ◽  
Abbas Mourad
Keyword(s):  
Phillips Curve ◽  
Vector Error Correction Model ◽  
Econometric Modeling ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Causality Relationship ◽  
The Relationship

This paper uses econometric modeling to test the nature of the relationship between unemployment and inflation in Lebanon throughout the period 1993-2014. It takes the Phillips curve relationship as a reference for the tests. Cointegration, Granger causality and VECM were used to test the relationship both in the short and in the long run. The study resulted in finding out that the Phillips curve relationship doesn’t hold in Lebanon in the short run and came to a conclusion that there is a one-way causality relationship in the long run from unemployment to inflation and not in the opposite direction.

scholarly journals Followness of Altcoins in the Dominance of Bitcoin: A Phase Analysis

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Abhinandan Kulal
Keyword(s):  
Modern World ◽  
Vector Error Correction Model ◽  
Price Movement ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Price Estimation ◽  
High Dominance ◽  
High Level ◽  
The Relationship

Due to the transparency, simplicity, and blockchain system, cryptocurrencies gained popularity in the modern world. This led to more use of cryptocurrencies for speculation and investment rather than a medium of exchange. It is crucial to analyse the nature of the crypto market before investing in such currencies. With this intention, the paper tried to know the extent of following (Followness) of altcoins to the bitcoin in the different dominance phases like High Dominance, Low Dominance, and Moderate Dominance. For this purpose, daily closing prices of the Bitcoin and five major altcoins (Ethereum, Litecoin, Namecoin, Doge, and Ripple) are collected for the last five years and analyse the relationship between bitcoin and altcoins. Pearson's correlation coefficient test is used to know the direction of the relationship, and Vector Error Correction Model is used to see the extent of the relation. In general, the empirical result of the study showed cointegration between bitcoin and Altcoin. It also depicted that Altcoin showed a high level of followness in the moderate dominance phase and low followness in the low dominance phase. The study developed a price estimation equation to predict the price of altcoins depending upon the price of bitcoin and its dominance in the crypto market. This paper concludes that the dominance of Bitcoin also has a significant role in the price movement of altcoins.

scholarly journals How do Capital Goods Index, Metal Index and Oil and Gas Index explain the rising Auto Index?

2021 ◽  
Vol 9 (10) ◽  
pp. 1608-1616
Author(s):  
Kanika Gupta
Keyword(s):  
Oil And Gas ◽  
Capital Goods ◽  
Correction Model ◽  
Vector Error Correction ◽  
Indian Economy ◽  
Vector Error ◽  
Long Run ◽  
Metal Index ◽  
Relationship Of ◽  
The Relationship

Abstract: The automobile sector holds a noteworthy position in the Indian economy. Resurgence of the sector from the shortterm slump it experienced in 2019 and the advent of electronic vehicle revolution is certain to bring about remarkable changes in the industry. Additionally, sector’s image as a bellwether of economic conditions makes it an all the more intriguing sphere to study. The paper examines the relationship between auto index, capital goods index, metal index and oil and gas index. All the indices have followed an upward trajectory in the past years. The aim is to study if these movements are related to each other through tools of Johansen Tests of Cointegration and Vector Error Correction Model (VECM). The result confirms a long-run direct relationship between the auto index and capital goods index. However, such a relationship of the auto index with the other two indices in the study remains uncertain. The data does not clearly support a conclusion in their case. Keywords: Automobile sector, Indian economy, auto index, capital goods index, metal index, oil and gas index, VECM

scholarly journals Free Trade: Does Myopic Policy Overlook Long-Term Gains?

2017 ◽  
Vol 22 (2) ◽  
pp. 65-88
Author(s):  
Maryiam Haroon
Keyword(s):  
Trade Liberalization ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Myopic Policy ◽  
The Relationship

This article analyzes the correlation between trade liberalization and welfare in Pakistan from 1986 to 2015. Using consumption expenditure as a measure of welfare, we estimate the relationship using a vector error correction model. The empirical results show that trade liberalization does not have an immediate correlation with welfare: it takes some time for liberalization policies to enhance welfare. The findings also suggest that trade liberalization can help reduce poverty, decrease inequality and increase enrollment levels in the long run. But in the short run, trade liberalization has led to higher income inequality.

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