scholarly journals APPLICATION OF THE MAIN COMPONENTS METHOD FOR DETERMINATION OF FACTORS OF LOGISTICS SERVICES MARKET DEVELOPMENT OF UKRAINE

2020 ◽  
Vol 7 (160) ◽  
pp. 40-47
Author(s):  
N. Hrynchak
Keyword(s):  
Factor Analysis ◽  
Price Index ◽  
Consumer Price Index ◽  
Hidden Variables ◽  
Retail Trade ◽  
Price Indices ◽  
Statistical Correlations ◽  
Transport Services ◽  
Logistics Services ◽  
Main Components

The study identifies and substantiates the main factors influencing the development of the market of logistics services in Ukraine through factor analysis by the method of main components. The application of the method of factor analysis to assess the development of the market of logistics services is based on the assumption that the indicators of different blocks are only indicators of certain existing market characteristics that are not directly measured. 9 indicators were selected for the study: wholesale turnover of enterprises, retail trade turnover, volume of exports of goods, volume of imports of goods, hryvnia devaluation index against the US dollar, rail freight index, consumer price index for transport, consumer price index for fuel and lubricants, consumer price index for transport services. Bartlett’s sphericity criterion and the calculation of the adequacy of the Kaiser-Mayer-Olkin sample were used for the study. It was found that the largest variance has such components as price indices for transport, fuels and lubricants, the volume of foreign and domestic (wholesale and retail) trade, which total 83.1%. The analysis of factors according to the received calculations is made.A study of factor analysis of the development of the market of logistics services showed that the segment of freight and warehousing logistics is not significantly affected by indicators combined in the component that characterized the price indices for transport, transport services, etc., is changes in domestic and foreign trade are greater impact on changes in the volume of these segments, regardless of changes in prices for services and related goods in the market of logistics services. The selection of factors according to the proposed method allows to determine their influence, but does not fully clarify the mechanism of influence, so the direction of further research should be to identify hidden variables that determine the presence of statistical correlations.

scholarly journals SARIMA Model for Forecasting Price Indices Fluctuations

2021 ◽  
Vol 2 (6) ◽  
pp. 1-6
Author(s):  
N. Sonai Muthu ◽  
K. Senthamarai Kannan ◽  
V. Deneshkumar ◽  
P. Thangasamy
Keyword(s):  
Rural Areas ◽  
Price Index ◽  
Inflation Rate ◽  
Price Level ◽  
Consumer Price Index ◽  
Demand Side ◽  
Price Indices ◽  
Sarima Model ◽  
Food And Beverages ◽  
Urban And Rural Areas

In day-to-day life, the price level fluctuations in the Consumer Price Index (CPI) goods and service. So, the retail consumers are affecting by that price level changes, who are on the demand side of the economy. The main objective of this work is to forecast such selected factors of CPI in urban and rural areas of India, like: Food and Beverages, Pan, Tobacco and Intoxicants, Fuel and Light and Education and also compute the inflation rate for those four main variables in all India.

scholarly journals Tests for Price Indices in a Dynamic Item Universe

2019 ◽  
Vol 35 (3) ◽  
pp. 683-697
Author(s):  
Li-Chun Zhang ◽  
Ingvild Johansen ◽  
Ragnhild Nygaard
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Scanner Data ◽  
Price Indices ◽  
Cost Of Living ◽  
Quality Change ◽  
Large Index ◽  
New Goods ◽  
Cost Of Living Index ◽  
Index Family

Abstract There is generally a need to deal with quality change and new goods in the consumer price index due to the underlying dynamic item universe. Traditionally axiomatic tests are defined for a fixed universe. We propose five tests explicitly formulated for a dynamic item universe, and motivate them both from the perspectives of a cost-of-goods index and a cost-of-living index. None of the indices that are currently available for making use of scanner data satisfies all the tests at the same time. The set of tests provides a rigorous diagnostic for whether an index is completely appropriate in a dynamic item universe, as well as pointing towards the directions of possible remedies. We thus outline a large index family that potentially can satisfy all the tests.

scholarly journals Analisis Faktor Indeks Harga Konsumen Kota Semarang

2019 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
Novia Nafisah ◽  
Respatiwulan Respatiwulan
Keyword(s):  
Factor Analysis ◽  
Urban Communities ◽  
Price Index ◽  
Consumer Price Index ◽  
Consumption Patterns ◽  
Economic Conditions ◽  
Underlying Factor ◽  
Inflation Rates ◽  
Eigen Value

<p>The Consumer Price Index (CPI) can describe consumption patterns in the community. The CPI is also used to calculate inflation rates that reflect a country's economic conditions. The CPI for sub-expenditure consists of 7 groups divided into 35 sub-groups. Factor analysis on CPI was conducted to reduce variables, to identify underlying factors, and to classify variables in the Semarang City CPI expenditure group from January 2014 to August 2017. As the result, there is only one underlying factor, namely the primary needs of urban communities with cumulative variance value of 88.509%, eigenvalues of 23.012 consisting of 27 subgroup variables.</p><p><strong>Keywords</strong><strong> :</strong> Consumer Price Index (CPI)<strong>, </strong>factor analysis, eigen value</p>

scholarly journals Cost Shock in Public Tenders Impacting the Railway Operator

2018 ◽  
Vol 235 ◽  
pp. 00018
Author(s):  
Špetík Ondřej
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Rail Transport ◽  
Time Inconsistency ◽  
Transport Sector ◽  
Railway Transport ◽  
Passenger Rail ◽  
Transport Services ◽  
Labour Costs ◽  
The Cost

The aim of this paper is to find out whether the cost shocks occur in the passenger rail transport, whether it can cause problems of financing as well as to evaluate the ways which are used by the purchaser of public transport to change the subsidy for carriers in case of cost shock. Results have shown that costs shocks can negatively impact financing of the subsidised passenger railway transport, so purchasers of the transport services must be extremely cautious in setting the tender documentation. So that purchasers avoid time-inconsistency solution, it is necessary to set the change in the subsidy in the contract. None of the tested clauses used by purchasers is ideal. We can see over-/under-compensation. The clause with 55 % of the consumer price index and 35 % of the change in labour costs in the transport sector reaches better results especially in contracts with vehicles purchased by the carrier.

Lowe and Cobb-Douglas Consumer Price Indices and their Substitution Bias

2010 ◽  
Vol 230 (6) ◽  
Author(s):  
Bert M. Balk
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Price Indices ◽  
Clear Cut ◽  
Target Cost ◽  
The World ◽  
Substitution Bias ◽  
Statistical Agencies ◽  
The Difference ◽  
Cost Of Living Index

SummaryCatching the effect of substitution behaviour in a Consumer Price Index (CPI) as good as possible is a goal pursued by statistical agencies throughout the world. The difference between a CPI and a certain target cost-of-living index is called substitution bias. Balk and Diewert (2003) considered the substitution bias of a Lowe Consumer Price Index; see also CPI Manual (2004: Chapter 17). The present paper considers the substitution bias of a Cobb-Douglas (or Geometric Young) CPI, and compares the two price indices with respect to their substitution bias. It appears difficult to draw a clear-cut conclusion.

scholarly journals ARE THE MEDITERRANEAN COUNTRIES WITH TOURISM PRICE INDICES IN THE PURCHASING POWER PARITY ZONE?

2020 ◽  
pp. 107-130
Author(s):  
Jani Bekő ◽  
◽  
Darja Boršič ◽  
Keyword(s):  
Great Recession ◽  
Purchasing Power Parity ◽  
Price Index ◽  
Real Exchange Rates ◽  
Consumer Price Index ◽  
Mean Reversion ◽  
Price Indices ◽  
Power Parity ◽  
The Great Recession ◽  
Mediterranean Countries

This chapter provides a detailed analysis of the validity of PPP for a cluster of 15 Mediterranean countries. The research has four original contributions. First, it uses two price indicators: a consumer price index for all items and a consumer price index for hotels and restaurants including catering and accommodation services. Second, it tests the exchange rate theory regarding two numeraire currencies. Third, due to the cyclicality of the tourism sector the study examines the significance of PPP by considering the impact of the Great Recession. Fourth, in order to test the mean reversion hypothesis, it uses a comprehensive set of panel unit root tests. The authors provide ample estimates in favour of PPP proposition. The evidence of mean reversion of real exchange rates is stronger (1) with price indices for hotels and restaurants, (2) in cases when the calculations are performed for EUR rates, and (3) for the post-Great Recession period.

scholarly journals FOREIGN DIRECT INVESTMENT: STRUCTURAL CHANGES AND IMPACT ON UKRAINE’S ECONOMIC SECURITY

2020 ◽  
Vol 19 (Vol 19, No 2 (2020)) ◽  
pp. 299-314
Author(s):  
Iryna BABETS ◽  
Ivan MYTSENKO ◽  
Valerii MYTSENKO
Keyword(s):  
Foreign Direct Investment ◽  
Unemployment Rate ◽  
Direct Investment ◽  
Inverse Relationship ◽  
Structural Changes ◽  
Price Index ◽  
Consumer Price Index ◽  
Retail Trade ◽  
High Tech ◽  
Direct Relation

The article presents assessment of the level of investment security of Ukraine during 2006-2018. Most influential factors of the country’s investment security have been identified. They include structure of foreign direct investment (FDI), particularly its high research intensity. It has been identified that the integral indicator of investment security is highly sensitive to the change in the investment share of high-tech industries in total FDI volumes. The regression analysis has confirmed significant influence of structural changes in foreign direct investment on the state of macroeconomic security of Ukraine during 2006-2018. The inverse relationship between unemployment rate and such indicators of FDI structure as investment share in high-tech industries and in metallurgical production has been identified. No correlation was found between unemployment rate and changes in the investment share in wholesale and retail trade, food, beverage and tobacco, information and telecommunications activities, financial activities and insurance in total FDI. It is established that there is a close direct relation between GDP per capita and the change in the structure of FDI in the investment share in food, beverage and tobacco, information and telecommunications, financial and insurance. A strong direct relation between GDP growth rate and the change in total FDI share of investment in metallurgical industry and investment in high-tech industries was confirmed. A weak direct correlation is found between the Consumer Price Index and the shares in the FDI structure of investments in wholesale and retail trade and in high-tech industries. The inverse relationship is found between the Consumer Price Index and the share of investment in information and telecommunications activities in total FDI.

An econometric analysis of retail turnover in Russia

2020 ◽  
Vol 19 (6) ◽  
pp. 1133-1153
Author(s):  
A.T. Kozinova
Keyword(s):  
Household Income ◽  
Inflation Targeting ◽  
Import Substitution ◽  
Consumer Price Index ◽  
Strong Relationship ◽  
Econometric Analysis ◽  
Retail Trade ◽  
Economic Instability ◽  
Consumer Prices ◽  
Macroeconomic Indicators

Subject. The article deals with econometric analysis of retail turnover in Russia and its relationship with macroeconomic indicators, like real disposable household income, consumer prices, etc. Objectives. The purpose is to create effective models to analyze the retail turnover in Russia and its relationship with other macroeconomic indicators, taking into account the existence of periods of economic instability. Methods. I apply correlation and regression methods to analyze statistics. To quantify changes in the retail turnover of Russia during the periods of economic instability, I use dummy variables. Results. The Russia’s retail trade turnover index had a reverse and moderate relationship with the consumer price index, direct and strong relationship with the indices of real disposable household income and imports, direct relationship with the manufacturing index. I offer statistically significant regression models of Russia’s retail turnover with the said macroeconomic indicators. Conclusions. The main advantage of models of retail turnover that are built using a large number of observations is a greater number of simultaneously considered factors. The quantitative assessment of retail turnover elasticity by consumer prices confirms the need for inflation targeting by the Central Bank of the Russian Federation. The higher elasticity of retail turnover in manufacturing as compared with the imports denotes the importance of import substitution policy.

Sign in / Sign up

Export Citation Format

Share Document