scholarly journals Analisis Faktor Indeks Harga Konsumen Kota Semarang

2019 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
Novia Nafisah ◽  
Respatiwulan Respatiwulan

<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>

1994 ◽  
Vol 15 (3) ◽  
pp. 1-3
Author(s):  
Bendley Melville

The impact of deteriorating socio-economic conditions on breast-feeding duration in Jamaica is examined In spite of dramatic increases in the consumer price index for food and drink and consequently in the cost of artificial feeding, breast-feeding duration declined by 10.6% during 19871991. This was apparently due to a reduction in postpartum visits by district midwives. It is concluded that breast-feeding promotion should receive increased support under conditions of severe economic hardship.


2020 ◽  
Vol 7 (160) ◽  
pp. 40-47
Author(s):  
N. Hrynchak

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.


Author(s):  
Patrick Gaughan ◽  
Viviane Luporini

Abstract This study examines the importance of using appropriate inflation measures in the estimation of a life care plan value. Using data from 1989 through 2018, we compare medical inflation rates measured by the Consumer Price Index Medical (CPI Medical) and the Personal Consumption Expenditures Health (PCE Health) price index while discussing the reasons why the indices differ. We also explain why certain policymakers favor the Personal Consumption Expenditure (PCE) over the Consumer Price Index (CPI). In demonstrating how the value of life care plans can differ based upon the use of either of these indices we applied 10-year historical arithmetic averages of both indices to a large hypothetical life care plan. Our calculations indicate that using the CPI versus the PCE results in a difference that is 7.5 times the initial value of the plan, after accumulation of nominal annual values that are undiscounted to present value. We also show how the difference between using the CPI Medical versus the PCE Health increases over time, implying that using one price index or the other will have a greater impact on life care plan values the longer the projection period. Our analysis shows that experts should consider the use of PCE indices when valuing life care plans.


2020 ◽  
Vol 12 (1) ◽  
pp. 104-152
Author(s):  
Fernando Alvarez ◽  
Francesco Lippi

We present a sticky price model that features the coexistence of many price changes, most of which are temporary, with a modest flexibility of the aggregate price level. Stickiness is introduced in the form of a price plan, namely a set of two prices: either price can be charged at any moment but changing the plan entails a menu cost. We analytically solve for the optimal plan and for the aggregate output response to a monetary shock. We present evidence consistent with the model implications using scanner data, as well as Consumer Price Index data across a wide range of inflation rates. (JEL D22, E31, E52, L11, O11, O23)


Author(s):  
Michael F. Bryan ◽  
Brent H. Meyer

Some of the items that make up the Consumer Price Index change prices frequently, while others are slow to change. We explore whether these two sets of prices--sticky and flexible--provide insight on different aspects of the inflation process. We find that sticky prices appear to incorporate expectations about future inflation to a greater degree than prices that change on a frequent basis, while flexible prices respond more powerfully to economic conditions--economic slack. Importantly, our sticky-price measure seems to contain a component of inflation expectations, and that component may be useful when trying to gauge where inflation is heading.


Author(s):  
Manuel González-Mariscal

AbstractIn this article I present new calculations for the evolution of prices and standards of living in Seville from 1521 to 1603. Using new data on prices and new research on changes in nutrition and consumption, I improve the consumer price index. Two major improvements can be highlighted: the inclusion of rented housing prices and the use of three baskets of goods, according to the transformations identified in the consumption patterns. As a result of these improvements, the new data show that prices increase more (336%) than previously estimated by Hamilton (155%) and when using the Allen method (234%). Consequently, real wages decrease more with the new index (32%).


2019 ◽  
Vol 8 (2) ◽  
pp. 17-22
Author(s):  
Osama Samih Shaban ◽  
Mohammad Al-Attar ◽  
Zaid Al-hawatmah ◽  
Nafez Nimer Ali

The purpose of this paper is to investigate the Consumer Price Index (CPI) as a competitiveness inflation measure and to determine whether an empirical relationship exists between the rates of inflation represented in CPI and the level of the real exchange rate. In order to achieve the objectives of this paper, the study calculated the consumer price index (CPI) as an inflation rate for the period 2010-2018, and also adopted the real exchange rates for the same period. In order to achieve the objectives of the study, a Pearson correlation analysis between the average CPI rates, and the average exchange rate were conducted. The outcomes of the correlation analysis conducted reflect a negative correlation of 62% between the exchange rates and the CPI’s inflation rates, which means that when CPI rates cause direct opposite effect of the determination level of exchange rates on the Jordanian economy.


2021 ◽  
pp. 1-30
Author(s):  
Inseok Shin ◽  
Kyu Ho Kang

Abstract This study detects a structural break in international consumer price index (CPI) inflation comovement. We estimate the dynamic common factor models with unknown breakpoints of cross-country inflation rates and global price index of all commodities. We identify two global factors from the models: a commodity global factor and a noncommodity global factor. The former is a common factor between national inflation rates and commodity price index growth; the latter is a common factor among national inflation rates. The estimation of 29 countries’ quarterly CPI inflation data from 2001:Q1 to 2018:Q2 shows a one-time break in cross-country inflation dynamics in 2008:Q4. Thereafter, the importance of global factors in explaining the national inflation rates is remarkably increased. Furthermore, the increased global inflation synchronization is mainly driven by the larger role of the noncommodity global factor rather than that of the commodity global factor.


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