scholarly journals U.S. consumer price index in the second half of XX century: calculation strategy and ways of its changes

2019 ◽  
Vol 16 (6) ◽  
pp. 67-76
Author(s):  
M. A. Kozlova
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Index Number ◽  
Goods And Services ◽  
Level Of Aggregation ◽  
High Level ◽  
Bureau Of Labor Statistics ◽  
Alternative Solutions ◽  
Data Generalization ◽  
Index Calculation

The purpose of this research is a detection of U.S. consumer price index development and change ways emerged in the second half of XX century. Consumer price index is considered as a practically evaluable index number.Materials and methods. This research is based on the methodology documents of U.S. Bureau of Labor Statistics and its theoretical and practical papers published in Monthly Labor Review. The basic method is historical and descriptive techniques.Results. Data generalization for U.S. consumer price index across five revisions is realized in structure of the calculation method, adapted by ROSSTAT for the national consumer price index. Firstly the dynamic of number of cities, included in consumer price survey and changes of its sample is analyzed. Secondly the principles of point of purchase sampling is in focus. Thirdly the set of goods and services and dynamics of its structure are considered. Fourthly there is a generalization of pricing procedure principles that is frequency according to the type of cities and feature of goods and services. Fifthly the source and limits of data collecting for weights which needed for consumer price index calculation on the high level of aggregation. And sixthly there is description of mean price and price index calculation.Conclusion. The main ways of development and transformation in U.S. consumer price index are defined. It may be considered as alternative solutions in consumer price index of other countries. The main ways are the increase of city and goods sampling, extension of probability use, formation of good classification, equal temporal interval of weight renovation and creation of price index system.

scholarly journals Analisis Indeks Harga Konsumen (IHK) Menurut Kelompok Pengeluaran Nasional Tahun 2018

2019 ◽  
Vol 3 (2) ◽  
pp. 110
Author(s):  
Halida Sofiah Noor ◽  
Cucu Komala
Keyword(s):  
Interest Rates ◽  
Price Index ◽  
Consumer Price Index ◽  
Economic Indicator ◽  
Index Number ◽  
Important Indicator ◽  
Goods And Services ◽  
Time Period ◽  
Rate Of Increase ◽  
Rate Of Decline

The Consumer Price Index is an important indicator of the financial market. The Consumer Price Index (CPI) is an index number that describes changes in prices of goods and services consumed by the public in general for a certain period with a predetermined time period. National expenditure according to CPI is divided into four sub-groups, namely the first general sub-group, the second sub-group of foodstuffs the third sub-group of processed foods, beverages, cigarettes and tobacco and fourth sub-group housing, water, electricity, gas and fuel development CPI 2018, every month from January to December tends to increase. Changes in CPI can describe the rate of increase (inflation) or the rate of decline (deflation) of goods or services. CPI can be regarded as a very important economic indicator and is used to represent changes in the average retail price level at the consumer level for a number of certain types of goods and services. The rise in the CPI can lead to an increase in interest rates, increase in money supply growth, increase the attractiveness of currencies, and increase inflation.

scholarly journals Basic Statistics of Jevons and Carli Indices under the GBM Price Model

2020 ◽  
Vol 36 (4) ◽  
pp. 737-761
Author(s):  
Jacek Białek
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
Index Formula ◽  
Elementary Level ◽  
Mean Squared Errors ◽  
Elementary Formula ◽  
Labor Statistics ◽  
Level Of Aggregation ◽  
The Difference ◽  
Bureau Of Labor Statistics

AbstractMost countries use either the Jevons or Carli index for the calculation of their Consumer Price Index (CPI) at the lowest (elementary) level of aggregation. The choice of the elementary formula for inflation measurement does matter and the effect of the change of the index formula was estimated by the Bureau of Labor Statistics (2001). It has been shown in the literature that the difference between the Carli index and the Jevons index is bounded from below by the variance of the price relatives. In this article, we extend this result, comparing expected values and variances of these sample indices under the assumption that prices are described by a geometric Brownian motion (GBM). We provide formulas for their biases, variances and mean-squared errors.

Wholesale and Retail Prices in the Nineteenth Century

1958 ◽  
Vol 18 (3) ◽  
pp. 298-316 ◽  
Author(s):  
Ethel D. Hoover
Keyword(s):  
World War I ◽  
Price Index ◽  
Consumer Price Index ◽  
Wholesale Price ◽  
Department Of Agriculture ◽  
Goods And Services ◽  
Wholesale Price Index ◽  
Price Indexes ◽  
Retail Prices ◽  
Bureau Of Labor Statistics

Today's best-known price indexes for Wholesale Price and Consumer Price Indexesthe Unitedof theStates are the Bureau of Labor Statistics, and the Indexes of Prices Received and Paid by Farmers, issued by the Department of Agriculture. These indexes, however, are comparatively new. The “Wholesale Price Index” dates from 1902 with indexes covering the years 1890-1901. The “Consumer Price Index” is of even more recent origin. Retail food price indexes were established on a regular basis in 1901, again with data back to 1890. Other goods and services were not added until after World War I, with estimates back to 1913 based on special studies in shipbuilding cities. The “Index of Prices Received by Farmers” was issued by the Department of Agriculture in 1924 and “Prices Paid by Farmers” in 1928. Botfi of these series were extended back to 1910.

scholarly journals Minding Your Ps and Qs: Going from Micro to Macro in Measuring Prices and Quantities

2019 ◽  
Vol 109 ◽  
pp. 438-443
Author(s):  
Gabriel Ehrlich ◽  
John Haltiwanger ◽  
Ron Jarmin ◽  
David Johnson ◽  
Matthew D. Shapiro
Keyword(s):  
Census Bureau ◽  
Alternative Methods ◽  
Real Gdp ◽  
Level Data ◽  
Item Level ◽  
National Output ◽  
Level Of Aggregation ◽  
Statistical Agencies ◽  
High Level ◽  
Bureau Of Labor Statistics

Key macro indicators such as output, productivity, and inflation are based on a complex system across multiple statistical agencies using different samples and levels of aggregation. The Census Bureau collects nominal sales, the Bureau of Labor Statistics collects prices, and the Bureau of Economic Analysis constructs nominal and real GDP using these data and other sources. The price and quantity data are integrated at a high level of aggregation. This paper explores alternative methods for reengineering key national output and price indices using item-level data. Such reengineering offers the promise of greatly improved key economic indicators along many dimensions.

scholarly journals THE LONG-RUN RELATIONSHIP BETWEEN HOUSE PRICES AND INFLATION IN SOUTH AFRICA: AN ARDL APPROACH

2013 ◽  
Vol 17 (2) ◽  
pp. 188-198 ◽  
Author(s):  
Roula Inglesi-Lotz ◽  
Rangan Gupta
Keyword(s):  
South Africa ◽  
Price Index ◽  
House Prices ◽  
Housing Prices ◽  
Consumer Price Index ◽  
Data Series ◽  
Middle Segment ◽  
Goods And Services ◽  
Long Run ◽  
Housing Costs

This paper investigates whether house prices provide a suitable hedge against inflation in South Africa by analysing the long-run relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small middle-segment and the entire middle segment of house prices, as well as, the consumer price index excluding housing costs for the period 1970:Q1–2011:Q1. Based on autoregressive distributed lag (ARDL) models, the empirical results indicate long-run cointegration between the house prices of all the segments and the consumer price index excluding housing costs. Moreover, the long-run elasticity of house prices with respect to prices of non-housing goods and services, i.e., the Fisher coefficient is greater than one for the luxury segment, virtually equal to one for the small middle-segment, and less than one for the large and medium middle-segments, as well as the affordable segments. More importantly though, the estimated Fisher coefficients are not statistically different from unity – a result consistent with the proposed theoretical framework relating housing prices and consumer prices excluding housing expenditure. In general, we infer that house prices in South Africa provide a stable inflation hedge in the long-run.

scholarly journals Index Number Issues in the Consumer Price Index

1998 ◽  
Vol 12 (1) ◽  
pp. 47-58 ◽  
Author(s):  
W. Erwin Diewert
Keyword(s):  
Price Index ◽  
Inflation Rate ◽  
Consumer Price Index ◽  
Index Number ◽  
Cost Of Living ◽  
Fixed Base ◽  
Statistical Agencies ◽  
Cost Of Living Index ◽  
Theoretical Cost

This paper addresses the following issues: what is an appropriate theoretical consumer price index that statistical agencies should attempt to measure; what are some of the possible sources of biases between the fixed base Laspeyres price index that statistical agencies produce and the theoretical cost-of-living index; and what factors will make the biases larger or smaller and how will the biases change as the general inflation rate changes? This paper addresses all of the issues mentioned above and discusses what statistical agencies can do to reduce the biases.

scholarly journals Analisis Perkembangan Indeks Harga Konsumen di Kota Medan

2020 ◽  
Vol 3 (2) ◽  
pp. 412-418
Author(s):  
Sari Wulandari ◽  
Muhammad Dani Habra
Keyword(s):  
Price Index ◽  
Inflation Rate ◽  
Consumer Price Index ◽  
Commodity Prices ◽  
Household Expenditure ◽  
The Public ◽  
Goods And Services ◽  
City Community ◽  
The Subject ◽  
The City

The Consumer Price Index (CPI) is one of the important economic indicators that can provide information about the development of prices of goods and services (commodities) paid by consumers or the public especially the city community. This study aims to analyze the Development of the Consumer Price Index in Medan City. The benefits of this research are a description of the fluctuations in commodity prices for basic needs of the community at the level of consumers or retail traders. This type of research is descriptive qualitative. The subject in this study is the Central Statistics Agency and the object in this study is the Consumer Price Index through seven groups of household expenditure in 2018-2019. The results showed that the development of price indices in Medan City tends to fluctuate from seven types of household expenditure groups. During the January-December 2019 period the highest inflation of the seven types of expenditure was foodstuffs. Keywords: Consumer Price Index, Inflation Rate

Sign in / Sign up

Export Citation Format

Share Document