scholarly journals The relationship between M3 and consumer price index in the Czech Republic

2018 ◽  
Vol 4 (10) ◽  
pp. 23-32
Author(s):  
Libena Cernohorska
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Price Index ◽  
Consumer Price Index ◽  
Test Results ◽  
The Czech Republic ◽  
Significance Level ◽  
Integration Test ◽  
The Relationship ◽  
Cointegration Relationship

The aim of this paper is to analyse the influence of monetary aggregate M3 on consumer price index (CPI) in the Czech Republic. Co-integration of this selected indicator M3 is demonstrated in relation to the development of CPI using the Engle – Granger co-integration test. These tests are applied to selected statistical data from 2003 to 2016. First step is to determine the optimum delay using Akaike criteria for all-time series analysed. Then the presence of a unit root is analysed using the Dickey–Fuller test. Based on the test results, time series is excluded, which appears to be stationary. If the conditions are met, testing then continued with the Engle–Granger test to detect cointegration relations, which would determine a longterm relationship between selected variables. Based on these tests, it is found that at a significance level of 0.05 doesn’t exist cointegration relationship between M3 and CPI in the Czech Republic. Conclusions resulting from the verification of the hypotheses are supported with graphical visualisation of data from which it is apparent that these hypotheses can be rejected. Keywords: Akaike crieteria, Dickey–Fuller test, Engle–Granger cointegration test, CPI, M3.

scholarly journals The relationship between M3 and consumer price index in the Czech Republic

2018 ◽  
Vol 4 (10) ◽  
pp. 226-236
Author(s):  
Libena Cernohorska
Keyword(s):  
Time Series ◽  
Czech Republic ◽  
Price Index ◽  
Statistical Data ◽  
Consumer Price Index ◽  
Monetary Aggregate ◽  
The Czech Republic ◽  
Significance Level ◽  
The Relationship ◽  
Cointegration Relationship

This paper aimed at analysing the influence of monetary aggregate M3 on consumer price index (CPI) in the Czech Republic. Cointegrating this selected indicator M3 is demonstrated in relation to the development of CPI using the Engle – Granger cointegration test. These tests are applied to selected statistical data from the years 2003 to 2016. After using the Akaike criteria for all-time series, we analysed a unit root using the Dickey–Fuller test. If the time series are non-stacionary, testing is then continued with the Engle–Granger test to detect cointegration relations. Based on these tests, it is found that at a significance level of 0.05, a cointegration relationship between M3 and CPI in the Czech Republic does not exist. Conclusions resulting from the verification of the hypotheses are supported with graphical visualisation of data from which it is apparent that these hypotheses can be rejected. Keywords: M3; Czech Republic ; CPI ; Akaike criteria

scholarly journals Relationship between Macroeconomic Variables and Stock Market: Case Study from Malaysia

2019 ◽  
Vol 4 (2) ◽  
pp. 102
Author(s):  
Yeen Lai, Khong ◽  
Kin Leong, Tang ◽  
Tee Peck Ling
Keyword(s):  
Consumer Price Index ◽  
Unit Root Test ◽  
Data Set ◽  
Significance Level ◽  
Macroeconomic Variables ◽  
Jones Index ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
The Relationship

<p><em>This study investigate the relationship between macroeconomic variables and FTSE Bursa Malaysia KLCI, the samples are divided into 2 groups such as foreign macroeconomic variables and local macroeconomic variables, foreign macroeconomic variables consist of Gold Bullion LBM price and Dow Jones Index, meanwhile local macroeconomic variables consist of Consumer Price Index, Base Lending Rate, Exchange Rate. This study employs data from Jan 2000 to Dec 2013 which contains a monthly data set of 168 observations. There are 3 methodologies used in this study to investigate the relationship, the first test is Unit Root test which used to test the stationary of each variable, the results indicate that all the variables are stationary in first difference, this is important to use stationary variables because if the variables are not stationary, it might lead to spurious regression. The second methodology is Johansen &amp; Juselius Co-integration test to investigate the long run relationship among these variables, the results show that the foreign macroeconomic variables and local macroeconomic variables have long run relationship with KLCI and significant. Next, this study will investigate the short run relationship between macroeconomic variables and KLCI, the results indicate that Gold, BLR and CPI can granger cause KLCI and significant at 1%, 5% significance level respectively.</em></p>

Problematic Internet Use digunakan Ketika Kesepian pada Remaja

2020 ◽  
Vol 14 (1) ◽  
pp. 45-60
Author(s):  
Yashinta Yashinta ◽  
Dwi Hurriyati
Keyword(s):  
Internet Use ◽  
Hypothesis Test ◽  
Problematic Internet Use ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Research Subjects ◽  
Significance Level ◽  
Relationship Of ◽  
The Relationship ◽  
Effective Contribution

This study aims to determine the relationship of loneliness with problematic internet use on boarding students on Silaberanti street in Siantan jaya Opposite Ulu 1 Palembang city. Research subjects numbered 220 people using random sampling methods. Data was collected using a 60 item problematic internet use scale and a 60 item loneliness. Realibility is generated on scale of problematic internet use of 0,955 and loneliness of 0,946.Hypothesis testing uses product moment correlation analysis techniques. Hypothesis test results showed a positive relationshif between loneliness with problematic internet use on boarding students on Silaberanti street in Siantan jaya Opposite Ulu 1 Palembang city r= 0,684 with a significance level of 0,000 (p<0,01). Loneliness in this study made an effective contribution of 46,8% to problematic internet use which can be seen from the coefficient of determination (r²) that is equel to 0,468.

scholarly journals Assigning a Value to Volunteering in Requests for Proposals

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110095
Author(s):  
Jakub Dostál
Keyword(s):  
Czech Republic ◽  
Theoretical Basis ◽  
Economic Value ◽  
European Economic Area ◽  
The Czech Republic ◽  
A Value ◽  
Economic Area ◽  
Different Types ◽  
The Relationship ◽  
Volunteer Time

The economic value of volunteering is an increasingly important part of volunteering management. It has become part of public policies. Some requests for proposals (RFP) enable nonprofits to include the value of volunteer time in compulsory co-financing. These RFP include the European Economic Area (EEA) Grants and Norway Grants. This article addresses the relationship in the value of volunteering, also called in-kind volunteering contributions. The research includes two case studies of finances from EEA and Norway Grants in the Czech Republic: the Czech NGO Programme, responsible for allocating grants between 2009 and 2014, and the Active Citizens Fund, responsible for allocating grants between 2014 and 2021. They share elements through the EEA and Norway Grants rules. However, they use different types of specialist replacement wages. The article summarizes the arguments for including in-kind volunteering contributions. It presents the possible values of these contributions in the selected cases, including the relationship between the type of volunteering and the number of hours necessary to achieve these values. The article defines the theoretical basis for calculating the value of in-kind volunteer contributions and illustrates this with real examples of allocations from EEA and Norway Grants.

scholarly journals A forecasting the consumer price index using time series model

2021 ◽  
Vol 107 ◽  
pp. 10002
Author(s):  
Volodymyr Shinkarenko ◽  
Alexey Hostryk ◽  
Larysa Shynkarenko ◽  
Leonid Dolinskyi
Keyword(s):  
Time Series ◽  
Price Index ◽  
Consumer Price Index ◽  
Exponential Smoothing ◽  
Time Series Model ◽  
Initial Time ◽  
Autocorrelation Functions ◽  
Minimum Error ◽  
Initial Time Series

This article examines the behavior of the consumer price index in Ukraine for the period from January 2010 to September 2020. The characteristics of the initial time series, the analysis of autocorrelation functions made it possible to reveal the tendency of their development and the presence of annual seasonality. To model the behavior of the consumer price index and forecast for the next months, two types of models were used: the additive ARIMA*ARIMAS model, better known as the model of Box-Jenkins and the exponential smoothing model with the seasonality estimate of Holt-Winters. As a result of using the STATISTICA package, the most adequate models were built, reflecting the monthly dynamics of the consumer price index in Ukraine. The inflation forecast was carried out on the basis of the Holt-Winters model, which has a minimum error.

scholarly journals Unraveling the association between socioeconomic diversity and consumer price index in a tourism country

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yan Leng ◽  
Nakash Ali Babwany ◽  
Alex Pentland
Keyword(s):  
High Resolution ◽  
Ethnic Diversity ◽  
Large Scale ◽  
Price Index ◽  
Consumer Price Index ◽  
Modern Society ◽  
Mobile Phone Data ◽  
Diversity Measures ◽  
Macroeconomic Indicators ◽  
The Relationship

AbstractDiversity has tremendous value in modern society. Economic theories suggest that cultural and ethnic diversity may contribute to economic development and prosperity. To date, however, the correspondence between diversity measures and the economic indicators, such as the Consumer Price Index, has not been quantified. This is primarily due to the difficulty in obtaining data on the micro behaviors and macroeconomic indicators. In this paper, we explore the relationship between diversity measures extracted from large-scale and high-resolution mobile phone data, and the CPIs in different sectors in a tourism country. Interestingly, we show that diversity measures associate strongly with the general and sectoral CPIs, using phone records in Andorra. Based on these strong predictive relationships, we construct daily, and spatial maps to monitor CPI measures at a high resolution to complement existing CPI measures from the statistical office. The case study on Andorra used in this study contributes to two growing literature: linking diversity with economic outcomes, and macro-economic monitoring with large-scale data. Future study is required to examine the relationship between the two measures in other countries.

scholarly journals Regional Branding: Customer’s Experience with the Certified Products

2018 ◽  
Vol 66 (6) ◽  
pp. 1549-1556 ◽  
Author(s):  
Klára Margarisová ◽  
Lucie Vokáčová ◽  
Kateřina Kuralová ◽  
Tomáš Hlavsa
Keyword(s):  
Czech Republic ◽  
Questionnaire Survey ◽  
The Czech Republic ◽  
Agricultural Produce ◽  
Regional Brand ◽  
The Given ◽  
The Relationship

This article focuses on the experience of Czech customers with the purchase of products labelled by the Association of Regional Brands and Bohemian Paradise Association. The aim of this paper is to evaluate selected indicators associated with purchasing certified regional products. The studied characteristics focus on the knowledge and perception of several chosen microregional brands and on the purchase of a certified product itself. The article presents the results of research conducted through a questionnaire survey, whose 1390 respondents are residents as well as visitors of eight different micro‑regions in the Czech Republic. Awareness of regional brands within the sample surveyed is around 46 %. The relationship between awareness of regional brand and respondents’ age, education and status towards the region has been identified. The perception of consumers considered, a brand is most often associated with tangible products, namely food and agricultural produce. Consumers view brands chiefly as a guarantee of production in the given region and a certain tradition. Most often, the respondents take notice of brands on the packaging of a particular certified product.

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