Time aggregation and skip sampling in cointegration tests

1996 ◽  
Vol 37 (3) ◽  
pp. 225-234 ◽  
Author(s):  
Wanhong Hu
Keyword(s):  
Time Aggregation ◽  
Cointegration Tests ◽  
Skip Sampling

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

Time Aggregation Operators for Multi-label Audio Event Detection

2018 ◽  
Author(s):  
Pankaj Joshi ◽  
Digvijaysingh Gautam ◽  
Ganesh Ramakrishnan ◽  
Preethi Jyothi
Keyword(s):  
Event Detection ◽  
Aggregation Operators ◽  
Time Aggregation ◽  
Audio Event

scholarly journals A Multivariate VAR Model for Evaluating Sustainable Finance and Natural Resource Curse in West Africa: Evidence from Nigeria and Ghana

2021 ◽  
Vol 13 (5) ◽  
pp. 2847
Author(s):  
Olatunji Abdul Shobande ◽  
Joseph Onuche Enemona
Keyword(s):  
Natural Resource ◽  
Critical Role ◽  
Resource Curse ◽  
Policy Implications ◽  
Vector Autoregressive ◽  
Natural Resource Curse ◽  
Cointegration Tests ◽  
Sustainable Finance ◽  
Private Investors ◽  
Sustainable Financing

The financial sector plays a critical role in society by mediating resources and assets within the economy between surplus and deficit units. Therefore, they have a great responsibility for the sustainability and prosperity of natural endowments. This study aimed to determine whether sustainable finance matters for the natural resource curse in Nigeria and Ghana. The empirical evidence is based on the Bayer and Hanck combined cointegration tests and Vector Autoregressive/Vector Error Correction Granger causality tests. The study highlights the importance of sustainable financing in natural resources management. Our findings also confirmed the existence of the financial resource curse in Nigeria and Ghana. Likewise, the medium through which sustainable finance affects the natural resource curse has been identified as the human development index (economic welfare). This current study has critical policy implications that suggest the need to establish a vibrant, sustainable financing strategy to assist domestic private investors with a strong interest in natural resource exploration and development, taking into account macroeconomic sustainability. Additionally, it also important to build a strong financial market which allows for policies designed to promote natural resource management.

أثر محددات الاستثمار في الاقتصاد العراقي للمدة (2004-2018) ، دراسة قياسية

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
مهند المحمدي ◽  
محمد الحياني
Keyword(s):  
Error Correction ◽  
Statistical Significance ◽  
Economic Thought ◽  
Explanatory Variables ◽  
Equilibrium Relationship ◽  
Cointegration Tests ◽  
Short And Long Term ◽  
Standard Models ◽  
Theoretical Foundations

The research aims to measure and analyze the determinants of investment in the Iraqi economy and study the theoretical foundations of investment and analyze the viewpoint of the most important schools of economic thought regarding investment and investment determinants and their effects on economic activity , and by using possible standard models as the results of standard analysis using the joint integration tests of time series . cointegration tests, they have proven the existence of a long-term equilibrium relationship according to the methodology of the results of estimating the short and long-term parameters and the error correction parameter(ECM) , it is moving from a set of explanatory variables towards The dependent variable, while the value of the error correction vector coefficient was negative and significant , as it reached (-0.59%) , which means the fulfillment of the two basic conditions in this parameter , namely : its negative value and the statistical significance . This means that (0.59) of the short-term errors are automatically corrected during the unit of time (year) to reach the equilibrium in the long term, meaning that the investment requires about less then a year (1.6) , that is , approximately a year and 6 days to reach its equilibrium value in the long term , In other words , the previous period deviates from the long-term equilibrium and is corrected in the current by (59%) . This indicates that the adjustment in the model was relatively fast .

scholarly journals The world market for soybeans: price transmission into Brazil and effects from the timing of crop and trade

Nova Economia ◽  
2007 ◽  
Vol 17 (2) ◽  
pp. 241-270 ◽  
Author(s):  
Mario A. Margarido ◽  
Frederico A. Turolla ◽  
Carlos R. F. Bueno
Keyword(s):  
United States ◽  
Forecast Error ◽  
The United States ◽  
World Market ◽  
Price Transmission ◽  
Long Run ◽  
Cointegration Tests ◽  
The World ◽  
The Law ◽  
The One

This paper investigates the price transmission in the world market for soybeans using time series econometrics models. The theoretical model developed by Mundlack and Larson (1992) is based on the Law of the One Price, which assumes price equalization across all local markets in the long run and allows for deviations in the short run. The international market was characterized by three relevant soybean prices: Rotterdam Port, Argentina and the United States. The paper estimates the elasticity of transmission of these prices into soybean prices in Brazil. There were carried causality and cointegration tests in order to identify whether there is significant long-term relationship among these variables. There was also calculated the impulse-response function and forecast error variance decomposition to analyze the transmission of variations in the international prices over Brazilian prices. An exogeneity test was also carried out so as to check whether the variables respond to short term deviations from equilibrium values. Results validated the Law of the One Price in the long run. In line with many studies, this paper showed that Brazil and Argentina can be seen as price takers as long as the speed of their adjustment to shocks is faster than in the United States, the latter being a price maker.

Sign in / Sign up

Export Citation Format

Share Document