Industrial structure of the federal sector: Evidence from bureau market share data

Public Choice ◽  
1993 ◽  
Vol 77 (3) ◽  
pp. 611-627
Author(s):  
Kathleen A. Carroll
Keyword(s):  
Market Share ◽  
Industrial Structure ◽  
Federal Sector ◽  
Share Data

Identifying competitors from market share data: a technique and an application

1991 ◽  
Vol 23 (3) ◽  
pp. 525-529 ◽  
Author(s):  
R. Rothschild ◽  
P. Swann ◽  
M. Taghavi
Keyword(s):  
Market Share ◽  
Share Data

Alternatives to the Traditional Retail Store Audit: A Field Study

1984 ◽  
Vol 48 (1) ◽  
pp. 54-61
Author(s):  
V. Kanti Prasad ◽  
Wayne R. Casper ◽  
Robert J. Schieffer
Keyword(s):  
Field Study ◽  
Market Share ◽  
Product Category ◽  
Retail Store ◽  
Market Data ◽  
Market Shares ◽  
Share Data

A field study was conducted to empirically compare market share data yielded by weekend selldown and store purchases audit methods with those provided by the traditional store audit method, for the beer product category. In one of the two test cities, market shares based on the weekend selldown audit method were statistically different for many major brands from those based on the traditional store audit method. Market share figures computed from the store purchases and traditional store audit methods, however, were statistically comparable in both test cities. The study points to the importance of focusing attention on the conditions under which the traditional store audit method and its economical alternatives may or may not yield comparable market data.

Data Mining for Market Segmentation with Market Share Data

2007 ◽  
pp. 149-162
Author(s):  
Illya Mowerman ◽  
Scott Lloyd
Keyword(s):  
Data Mining ◽  
Market Share ◽  
Market Segmentation ◽  
Share Data

scholarly journals Linking Fortification Compliance Metrics With Decision Making Needs: From Brand Level Data to Market Share Weighted Information

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 556-556
Author(s):  
Svenja Jungjohann ◽  
Gaston Amos ◽  
Archard Ngemela ◽  
Mduduzi Mbuya
Keyword(s):  
Wheat Flour ◽  
Market Share ◽  
Health Impact ◽  
Product Availability ◽  
Funding Sources ◽  
Share Data ◽  
Monitoring And Enforcement ◽  
Gates Foundation ◽  
Brand Product ◽  
Market Volume

Abstract Objectives A fortification program can only be effective if (1) each brand producer complies with fortification standards (i.e., adequately fortified), and (2) the adequately fortified products are consumed by a large proportion of the population. We quantified fortification quality (extent to which levels of fortification align with food standards) of oil, salt and wheat flour products; and ascertained the degree of food brand penetration and market share in Tanzanian markets. Methods Food inspectors collected multiple samples of food products at the production and/or market and laboratory analysts quantified the micronutrient content. We compared the average content for each individual brand product to the national fortification standards considering lab measurement uncertainty and classified into one of 4 fortification status categories (not fortified, fortified below, according to, or above the fortification standard). To establish penetration and market share, we visited 1500 retail outlets across regions in Tanzania to ascertain brand product availability and sales volumes. We applied weights using the market share estimates to extrapolate the fortification quality of the food market volume in the country. Results Of the different brand products of salt (26), wheat flour (25), and oil (68) found in the market, samples were collected and micronutrient content analyzed in the main oil (30%), salt (62%), and wheat flour brand products (85%). While 12% of salt, 35% of wheat flour, and 22% of oil brand products were fortified above the fortification standard minimum, when weighted by their market share, these represent 90% of the salt, 86% of wheat flour, and only 2% of the oil market volume respectively. Conclusions Fortification compliance of brand products provides important data for industry and regulatory authorities to identify where corrective action is necessary. Health and development staff are concerned about the extent to which additional nutrients are delivered to the population to anticipate public health impact, for which adjustment using reliable market share data is key. Weighted brand data can help resource constrained regulatory staff prioritize monitoring and enforcement activities to industries/producers with greatest influence. Funding Sources Bill and Melinda Gates Foundation (BMGF).

Estimating Demand for Differentiated Products with Zeroes in Market Share Data

2019 ◽  
Author(s):  
Zhentong Lu ◽  
Xiaoxia Shi ◽  
Amit Gandhi
Keyword(s):  
Market Share ◽  
Differentiated Products ◽  
Share Data

Use of Private Sources of Market Share Data and Experts in Antitrust Litigation

1982 ◽  
Vol 27 (1) ◽  
pp. 1-50
Author(s):  
Terry Calvani ◽  
Andrew Berg ◽  
John Siegfried
Keyword(s):  
Market Share ◽  
Share Data

scholarly journals A Modified Lotka–Volterra Model for Diffusion and Substitution of Multigeneration DRAM Processing Technologies

2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Hui-Chih Hung ◽  
Yu-Chih Chiu ◽  
Muh-Cherng Wu
Keyword(s):  
Market Share ◽  
New Technologies ◽  
Random Access ◽  
Absolute Error ◽  
Volterra Model ◽  
Access Memory ◽  
Processing Technologies ◽  
Volterra Models ◽  
Share Data ◽  
The Mean

We attempt to develop an effective forecasting model for the diffusion and substitution of multigeneration Dynamic Random Access Memory (DRAM) processing technologies. We consider market share data and propose a modified Lotka–Volterra model, in which an additional constraint on the summation of market share is introduced. The mean absolute error is used to measure the accuracy of our market share predictions. Market share data in DRAM industries from quarter one (Q1) of 2005 to 2013 Q4 is collected to validate the prediction accuracy. Our model significantly outperforms other benchmark forecasting models of both revenue and market share data, including the Bass and Lotka–Volterra models. Compared to prior studies on forecasting the diffusion and substitution of multigeneration technologies, our model has two new perspectives: (1) allowing undetermined number of multigeneration technologies and inconsecutive adoption of new technologies and (2) requiring less data for forecasting newborn technologies.

The Value of Using Market Share Data for Analysis in Competition Law

2012 ◽  
Author(s):  
Emile Tihomiroff McHarsky-Todoroff
Keyword(s):  
Market Share ◽  
Competition Law ◽  
Share Data
Sign in / Sign up

Export Citation Format

Share Document