A Matched-Model Geometric Mean Price Index for Supermarket Scanner Data
|
|
- Hester Atkins
- 5 years ago
- Views:
Transcription
1 A Matched-Model Geometric Mean Price Index for Supermarket Scanner Data Nicolette de Bruijn Peter Hein van Mulligen Jan de Haan Sixth EMG Workshop, December 2006, UNSW, Sydney
2 Contents Historical overview Advantages of using scanner data Daily practice Matched-model approach Simulations on scannerdata and results Conclusions Future plans
3 Historical overview 2002 Introduction of use of scanner data in the CPI - 2 main supermarket organisations - field observations in these chains were cancelled 2005 Base year shift to 2004 and some improvements 2007 Base year shift to supermarket
4 Advantages of using scanner data (1) Improving quality: Large numbers of items Average real transaction prices No more observation mistakes Detailed and better weights Efficiency: Less survey work in the field Less administrative burden for retailers
5 Advantages of using scanner data (2) COICOP Description Articles in scanner data Articles in field survey Bakery products Cheese Tea More articles in scanner data than field survey articles: abundance of scanner data Descriptions of articles in scanner data are narrower than descriptions for field survey articles
6 Use of the data EANs: unique products EANs must be classified (COICOP/CBL) All data are used for construction of weights Weights per EAN on basis of turnover shares New basket and new weights each year Prices: unit values per EAN per supermarket Laspeyres index per COICOP/CBL-group per supermarket Scanner data indexes are aggregated with indexes based on field surveys for other supermarkets and shop types
7 Why this study? The current method is time-consuming - classification of EANs into CBL/COICOPgroups - choosing successors for disappearing EANs Therefore it is impossible to use more scanner data from other supermarkets CBS would like to scale up on scanner data of supermarkets A more efficient method is needed matched model without explicit QA
8 Differences between current method and proposed method Geometric mean vs. Arithmetic mean Explicit QA vs. class mean imputation Fixed weight per EAN vs. no weights Fixed basket vs. monthly basket
9 Benchmark versus scenario 1 Benchmark: CBL index on basis of geometric mean Scenario 1: CBL index on basis of arithmetic mean (current situation) Advantages of geometric mean: - substitution, less sensitive in heterogenic groups
10 Scenario 2: disappearing EANs About 100 disappearing EANs per month Imputation for unimportant EANs Important EANs are replaced by hand possibility to correct explicitly for quality changes Finding successors and applying explicit quality corrections is time-consuming Scenario 2: no explicit quality adjustments but average index change of CBL-group
11 Scenario 3: weights Scenario 3: no explicit weights are used, each EAN gets the same weight Problems scenario 3: weights are required because of heterogeneity within CBL-groups Equal weighting yields unacceptable differences for CBL- and COICOP-groups But fixed weights are necessary, as monthly weights result in an upward drift
12 Results benchmark scenario1 scenario2 scenario3
13 Matched-model simulation Monthly basket of matched EANs Geometric mean and no explicit adjustments for quality changes Using monthly weights or no weights at all is not appropriate, therefore: rough weighing Sample on basis of turnover shares per CBL-group Variation in coverage: 60%, 70%,, 95% NB: simulation on (official) basket items
14 Results matched model MM 60%omzet MM 95%omzet MM 100%omzet benchmark
15 Conclusions When the process is fully automated we can scale up the amount of supermarket scanner data Classifying EANs into COICOP/CBL-groups will remain time consuming; a solution has to be found before scaling up
16 The future 2007 Pilot study: implementation of matched model approach for 2 supermarkets to detect practical and logistic difficulties 2008 Matched-model geometric mean index in production Reduction of field surveys in supermarkets
Exploiting new technologies and new data sources the opportunities and challenges associated with scanner data
Exploiting new technologies and new data sources the opportunities and challenges associated with scanner data David Fenwick UNECE/ILO Joint meeting on CPIs Geneva 2014 What is scanner data? Scanner data
More informationThe use of scanner data in the Luxembourg CPI: first lessons learned
The use of scanner data in the Luxembourg CPI: first lessons learned Jérôme Hury, Claude Lamboray Price statistics unit, STATEC 13, rue Erasme, B.P.304, L-2013 Luxembourg jerome.hury@statec.etat.lu claude.lamboray@statec.etat.lu
More informationChain Drift in a Monthly Chained Superlative Price Index
Chain Drift in a Monthly Chained Superlative Price Index Paper written for the joint UNECE/ILOs workshop on scanner data, Geneva, 10 May 2010. Ragnhild Nygaard Statistics Norway ragnhild.nygaard@ssb.no
More informationFederal Department of Home Affairs FDHA Federal Statistical Office FSO. Scanner data as data sources Recommendations
Scanner data as data sources Recommendations 1 Objectives Explain the advantages and disadvantages of scanner data Give an overview of the different ways of using scanner data Highlight the main challenges
More informationCollecting Clothing Data from the Internet
Collecting Clothing Data from the Internet Robert Griffioen, Jan de Haan and Leon Willenborg Statistics Netherlands Aim of the paper Our aim is to describe Statistics Netherlands experiences with the collection
More informationEconomie et Statistiques Working papers du STATEC
97 Economie et STATEC Auteur: Vanda Guerreiro, Marie Walzer, Claude Lamboray, STATEC The use of Supermarket Scanner data in the Luxembourg Consumer Price Index Abstract Scanner data are files that contain,
More informationHICP COMPLIANCE MONITORING
EUROPEAN COMMISSION EUROSTAT Directorate C: National Accounts, Prices and Key Indicators Unit C-4: Price statistics; Purchasing Power Parities; Housing Statistics HICP COMPLIANCE MONITORING INFORMATION
More informationThe use of scanner data: a choice between evolution and revolution of official price statistics
Ingolf Boettcher Statistics Austria 7th International Workshop on Survey Methodology Daejeon, Republic of Korea 28. September 2016 The use of scanner data: a choice between evolution and revolution of
More informationThe QU-method: A new methodology for processing scanner data
Proceedings of Statistics Canada Symposium 2016 Growth in Statistical Information: Challenges and Benefits The QU-method: A new methodology for processing scanner data Antonio G. Chessa 1 Abstract This
More informationPORTUGAL experience Results of the evaluation on the exploitation of scanner data
PORTUGAL experience Results of the evaluation on the exploitation of scanner data «Filipa Marin Lidónio/Cecília Cardoso Data Collection Department Scanner Data Workshop 26 27 September 2013 Lisbon, Portugal
More informationImplementation of the treatment of the scanner data in France
Implementation of the treatment of the scanner data in France Guillaume Rateau Head of the CPI methodology section Introduction : project schedule since 2009 Solution studies, implementation of the IT
More informationTowards a new methodology for processing scanner data in the Dutch CPI 1
Towards a new methodology for processing scanner data in the Dutch CPI 1 Antonio G. Chessa, 2 Stefan Boumans 2 and Jan Walschots 2 1 The authors want to thank various colleagues, both at Statistics Netherlands
More informationItem 19: Price and Volume Measures
Item 19: Price and Volume Measures ESTP course on National Accounts ESA 2010 Luxembourg, 17-21 June 2013, BECH Quetelet Prices and Volume measures Covered in ESA 2010 chapter 10 and 2008 SNA chapter XVI;
More informationStatus update on Scanner and online data integration projects
Status update on Scanner and online data integration projects Ken Van Loon Statistics Belgium UN GWG on Big Data for Official Statistics Training workshop on scanner and on line data 6 7 November 2017
More informationPrice index calculation and weighting with web scraped data
Price index calculation and weighting with web scraped data ESTP course on Automated collection of online prices: sources, tools and methodological aspects Antonio Chessa, Statistics Netherlands THE CONTRACTOR
More informationIndustrial Price Index (IPRI) Base Main characteristics
Industrial Price Index (IPRI) Base 2010 Main characteristics Madrid, March 2013 1 MAIN FEATURES OF THE IPRI, BASE 2010 Introduction Council Regulation (EC) No. 1165/98 regarding short-term statistics sets
More informationResearch indices using web scraped price data: clustering large datasets into price indices (CLIP)
Article Research indices using web scraped price data: clustering large datasets into price indices (CLIP) Web scraping is a tool for extracting information from the underlying HTML code of websites. ONS
More informationData collection and data sources. Price statistics training Tbilisi, Georgia Randi Johannessen
Data collection and data sources Price statistics training Tbilisi, Georgia Randi Johannessen (raj@ssb.no) Price collection timing Prices for goods enter the HICP for the month prices are observed E.g.
More informationDevelopment Centre RESEARCH MEMORANDUM. Alternative Price Indices for Computers in the Netherlands based on scanner data. Peter Hein van Mulligen
University of Groningen Groningen Growth and Development Centre Alternative Price Indices for Computers in the Netherlands based on scanner data Research Memorandum GD-65 Peter Hein van Mulligen RESEARCH
More informationSubject Index. Bureau of Labor Statistics (BLS), 3, 5, 7, 39; missing prices and,
Subject Index Aciphex, 231 ACNielsen, 40, 279; classification systems and, 158 60 ACNielsen ScanTrack, 22; classification of ice cream, 23; Geomean indexes for, 30; Laspeyres indexes for, 30; number of
More informationHarmonized Index of Consumer Prices (HICP)
Harmonized Index of Consumer Prices (HICP) Methodology (Updated February 2018) Nature of the HICP Purpose, nature and use The HICP (Harmonized Index of Consumer Prices) measures the general relative change
More informationHarmonized Index of Consumer Prices (HICP) Methodology (Updated February 2019)
Harmonized Index of Consumer Prices (HICP) Methodology (Updated February 2019) 1. Purpose, nature and use 1.1. Nature of the HICP The HICP (Harmonized Index of Consumer Prices) measures the general relative
More informationConsumer Price Index Biases -Elementary Index Biases vs. Sampling Biases-
Consumer Price Index Biases -Elementary Index Biases vs. Sampling Biases- Satoshi Imai (Statistics Bureau of Japan) Erwin Diewert (University of British Columbia and New South Wales University) Chihiro
More informationMain characteristics of the Price Indices for Export and Import of Industrial Products (IPRIX-IPRIM), base 2010
Main characteristics of the Price Indices for Export and Import of Industrial Products (IPRIX-IPRIM), base 2010 Madrid, April 2013 1 MAIN CHARACTERISTICS OF THE IPRIX-IPRIM, BASE 2010 Introduction Council
More informationImplementing scanner data in the Danish CPI - Paper to be presented at UN- Group of experts on the consumer price indices meeting
Implementing scanner data in the Danish CPI - Paper to be presented at UN- Group of experts on the consumer price indices meeting Geneve May 2014 Thomas H. Jacobsen Workshop 4- Scanner Data Table of contents
More informationSRI-Hitotsubashi Consumer Purchase Indices
SRI-Hitotsubashi Consumer Purchase Indices July 28, 2015 Research Center for Economic and Social Risk, Institute of Economic Research, Hitotsubashi University 1. Data Consumer Purchase Indices are calculated
More informationStatistics and Science
Statistics and Science Handbook on the application of quality adjustment methods in the Harmonised Index of Consumer Prices Developed within the European project CENEX HICP Quality Adjustment by Stefan
More informationThe Billion Prices Project Research and Inflation Measurement Applications
The Billion Prices Project Research and Inflation Measurement Applications Alberto Cavallo MIT June 2014 Micro Price Data in Macroeconomics Data Sources Statistical Offices (CPI, PPI, IPI) Scanner Data
More informationClustering Large datasets into Price indices - CLIP
Clustering Large datasets into Price indices - CLIP Matthew Mayhew Index Numbers Methodology Overview 01 02 03 04 05 06 Web Scraping Overcoming the Product Churn Issue Finding the groups New Data and Forming
More informationCHAPTER V. PERFORMANCE INDICATORS. A. Need for performance indicators
CHAPTER V. PERFORMANCE INDICATORS A. Need for performance indicators 5.1. The increasing demand for information to asses businesses status in distributive trade sector in the areas of profitability, productivity
More informationTECHNICAL NOTES. Producer Price Index Manufacturing (PPI-M)
TECHNICAL NOTES Producer Price Index Manufacturing (PPI-M) 1. Definition The Producer Price Index (PPI-M) measures changes in the effective prices received by manufacturers for that part of their output
More informationnew methodology for processing scanner data in the Dutch CPI
A new methodology for processing scanner data in the Dutch CPI ANTONIO G. CHESSA ( 1 ) Abstract: This paper presents a new methodology for processing electronic transaction data and for calculating price
More informationHow to Better Measure Hedonic Residential Property Price Indexes
How to Better Measure Hedonic Residential Property Price Indexes Mick Silver Paper presented at the 15 th Meeting of the Ottawa Group, 10 12 May 2017, Elves, Germany, hosted by Deutsche Bundesbank. 1 The
More informationHICP Compliance Monitoring Report
EUROPEAN COMMISSION EUROSTAT Directorate C: National Accounts, Prices and Key Indicators Unit C-4: Price statistics. Purchasing Power Parities. Housing statistics HICP Monitoring Report United Kingdom
More informationISSUES ON THE USE OF SCANNER DATA IN THE CPI
Thirteenth meeting Copenhagen, 1-3 May 2013 Topic 4: Sampling and Data Collection ISSUES ON THE USE OF SCANNER DATA IN THE CPI Prepared by Muhanad Sammar, Anders Norberg and Can Tongur, Statistics Sweden
More informationThe Billion Prices Project Big Data in Macroeconomics
The Billion Prices Project Big Data in Macroeconomics Alberto Cavallo MIT & NBER Symposium Building the Financial System Harvard Law - December 2017 Based on Cavallo & Rigobon (2016) The Billion Prices
More informationJournal of Econometrics. Scanner data, time aggregation and the construction of price indexes
Journal of Econometrics 161 (2011) 24 35 Contents lists available at ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom Scanner data, time aggregation and the construction
More informationMissing items. Sp eci al Sessi on f or EECCA an d SEE cou n t r i es. Geneva, Switzerland. Randi Johannessen, Statistics Norway.
Missing items Sp eci al Sessi on f or EECCA an d SEE cou n t r i es Geneva, Switzerland Randi Johannessen, Statistics Norway raj@ssb.no Missing items -roadmap Pr oblem Reason Opt ion Method Tar get Missing
More informationSmall scale big data in the Finnish pharmaceutical product index compilation
1 (23) Small scale big data in the Finnish pharmaceutical product index compilation Abstract Kristiina Nieminen, Antti Suoperä, Satu Montonen 5th May 2017 In recent years several countries have started
More informationCONSUMER PRICE INDEX, MIDWEST REGION FEBRUARY 2015 Prices in the Midwest up 0.3 percent in February but 0.5 percent lower over the year
For Release: Tuesday, March 24, 15-481-KAN MOUNTAIN-PLAINS INFORMATION OFFICE: Kansas City, Mo. Technical information : Media contact : (816) 285-7000 BLSInfoKansasCity@bls.gov www.bls.gov/regions/mountain-plains/
More informationEvolution of choice and innovation in the EU food sector
Evolution of choice and innovation in the EU food sector Key findings October 2014 1 Scope and methodology Objectives of the study Assess the economic impact of modern retail on choice and innovation in
More informationSPPI for Data Processing, Hosting and Related Activities (ISIC/NACE 6311)
SPPI for Data Processing, Hosting and Related Activities (ISIC/NACE 6311) Plan of presentation 1 Introduction 2 Description and characteristics of the industry 3 Measurement of SPPI 4 Evaluation of measurement
More informationStandard Report on Methods and Quality. for Retail Sales Index
Standard Report on Methods and Quality for Retail Sales Index This documentation applies to the reporting period: Monthly Updated 19/05/2016 CENTRAL STATISTICS OFFICE Skehard Road, Cork 021 4545000 www.cso.ie
More informationIndex of producer prices for agricultural products
Statistisches Bundesamt Quality Report Index of producer prices for agricultural products Periodicity: irregular Published in 23.08.2012 For further information about this puplication please contact: Phone:
More informationCONSUMER PRICE INDEX (BASE PERIOD NOVEMBER 2009 = 100)
CONSUMER PRICE INDEX (BASE PERIOD NOVEMBER 2009 = 100) No. 555 JUNE 2016 StatisticalNews BRIEF METHODOLOGY: The CPI measures the over time in prices of goods and services consumed by people for day-to-day
More informationSUMMARY OF AGORA-MMS PROJECT
SUMMARY OF AGORA-MMS PROJECT Objectives and Methodology The AGORA-MMS project was initiated by the division Sector and Market Monitoring within the Federal Public Service Economy (FPS Economy in the sequel).
More informationCONSUMER PRICE INDEX, MIDWEST REGION DECEMBER 2016
For Release: Wednesday, January 18, 2017 17-50-KAN MOUNTAIN-PLAINS INFORMATION OFFICE: Kansas City, Mo. Technical information : Media contact : (816) 285-7000 BLSInfoKansasCity@bls.gov www.bls.gov/regions/mountain-plains
More informationConsumer Price Index, Los Angeles area May 2018 Area prices were up 0.4 percent over the past month, up 4.1 percent from a year ago
For Release: Tuesday, June 12, 18-1013-SAN WESTERN INFORMATION OFFICE: San Francisco, Calif. Technical information: (415) 625-2270 BLSinfoSF@bls.gov www.bls.gov/regions/west Media contact: (415) 625-2270
More informationWeighting of Outlet-types and Regions a new Weighting System for the German Consumer Price Index
Weighting of Outlet-types and Regions a new Weighting System for the German Consumer Price Index 1. Introduction 1.1 Background A new weighting system in consumer price statistics has been introduced in
More informationEnvisioning sustainable and healthy food supply chain: participatory backcasting approach
Envisioning sustainable and healthy food supply chain: participatory backcasting approach Futures for Food 15th International Futures Conference 6 7 June 2013 Turku, Finland Dr. Terhi Latvala MTT Agrifood
More informationTURKISH STATISTICAL INSTITUTE. Register Systems Department
Content I II III IV V Motives for Change and Challenges Integrated Administrative Sources Management of the Integration Redesign of Business Statistics Conclusions and Discussion Administrative Registers
More informationService Price Index for Architectural Services
Voorburg Group on Service Statistics Service Price ndex for Architectural Services Sima Assaf Central Bureau of Statistics srael September 2006 1 Background 1. Development of specific service sector price
More informationOnline Appendix for Are Online and Offline Prices Similar? Evidence from Multi-Channel Retailers
Online Appendix for Are Online and Offline Prices Similar? Evidence from Multi-Channel Retailers Alberto Cavallo MIT & NBER This version: August 29, 2016 A Appendix A.1 Price-level Comparison with Amazon.com
More informationThe process of updating the sample for the Swedish Producer and Import Price Indices
The process of updating the sample for the Swedish Producer and Import Price Indices Katrin Stensmo Bäcklund Stefan Svanberg Martin Kullendorff 2006-12-20 STATISTICS SWEDEN 2(18) The process of updating
More informationXXVI. OPTIMIZATION OF SKUS' LOCATIONS IN WAREHOUSE
XXVI. OPTIMIZATION OF SKUS' LOCATIONS IN WAREHOUSE David Sourek University of Pardubice, Jan Perner Transport Faculty Vaclav Cempirek University of Pardubice, Jan Perner Transport Faculty Abstract Many
More informationThe Billion Prices Project: Building Economic Indicators From Online Data. Alberto Cavallo MIT Sloan
The Billion Prices Project: Building Economic Indicators From Online Data Alberto Cavallo MIT Sloan UNECE CPI Meeting, Geneva, May 31 st 2012 STATE STREET ASSOCIATES Our approach: use online data to build
More informationInformation System. Prepared By: Hardeep Singh
Information System Data Vs Information INPUT DATA Processing DATA Processing OUTPUT Information Differences Refers to details, facts about any event. Disorganized & disintegrated in the form. In raw form.
More informationPrice setting behaviour in Lesotho: The role of outlet characteristics and competition
Price setting behaviour in Lesotho: The role of outlet characteristics and competition by Mamello Nchake and Lawrence Edwards PEDL research workshop, London, United Kingdom Background Outline Objective
More informationABSTRACT. U.S. government agencies that administer federal assistance programs use the Consumer
ABSTRACT BALL, MELANIE JEAN. Measuring the Effect of Supercenters on Price Indexes: Evidence from Canned Beans and Milk Using Household Scanner Data. (Under the direction of Dr. Walter Thurman). U.S. government
More informationCONSUMER PRICE INDEX (CPI) FOR DENVER-BOULDER-GREELEY Prices increased 2.8 percent from the second half of 2012 to the second half of 2013
MOUNTAIN-PLAINS INFORMATION OFFICE Kansas City, Mo. For release: Thursday, February 20, 2014 14-242-KAN Technical information : (816) 285-7000 BLSInfoKansasCity@bls.gov www.bls.gov/ro7 Media contact :
More informationCONSUMER PRICE INDEX (BASE PERIOD NOVEMBER 2009 = 100)
CONSUMER PRICE INDEX (BASE PERIOD NOVEMBER 2009 = 100) No. 559 October 2016 StatisticalNews BRIEF METHODOLOGY: The CPI measures the over time in prices of goods and services consumed by people for day-to-day
More informationANNUAL QUALITY REPORT
REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEYS Consumer Price Index (CPI) Harmonised Index of Consumer Prices (HICP) FOR 2012 Prepared by: Jaka Erpič Date: November 2013 1/11 Table of Contents
More information5. METHODOLOGY FOR PRICES, PRICE INDEX CALCULATION Cost and Volume Indictors of Construction Companies Activity
5. METHODOLOGY FOR PRICES, PRICE INDEX CALCULATION 5.1. Cost and Volume Indictors of Construction Companies Activity As planned the sample has a higher percentage of large and medium-sized companies than
More informationA European Food Prices Monitoring Tool
EUROPEAN COMMISSION EUROSTAT Directorate G: Business Statistics Unit G-6: Price statistics Luxembourg, October 2009 A European Food Prices Monitoring Tool A first design A European Food Prices Monitoring
More informationANNUAL QUALITY REPORT
REPUBLIKA SLOVENIJA ANNUAL QUALITY REPORT FOR THE SURVEY ANNUAL REPORT ON RETAIL TRADE, WHOLESALE AND COMISSION TRADE (TRG/L) FOR 2012 Prepared by: Dominika Lunder, Rudi Seljak Date: November 2014 1/8
More informationComparing and contrasting Activity Based Costing approaches in other industry sectors to health care
Comparing and contrasting Activity Based Costing approaches in other industry sectors to health care Adam Sawers ABF Conference, Brisbane 11 th May 2016 AGENDA RECAP TEXTBOOK ACTIVITY BASED COSTING (ABC
More informationScraped Dat a and St icky Prices
Scraped Dat a and St icky Prices Albert o Cavallo MIT & NBER Banque de France, December 2015 Motivation St icky prices are a fundament al element of t he monet ary transmission mechanism in many macro
More informationQUALITY DECLARATION Producer and Import Price Index (PPI)
Quality declaration version 1 2018-02-28 1 (14) QUALITY DECLARATION Producer and Import Price Index (PPI) Subject and statistical area Subject area: Statistical area: Prices and consumption Producer and
More informationAn introduction to scanner data methods
An introduction to scanner data methods UN GWG on Big Data for Official Statistics Training workshop on scanner and on-line data 6-7 November 2017 Bogota, Colombia Presented by: Michael Holt (michael.holt@abs.gov.au)
More informationPRODUCER PRICE INDEX - MANUFACTURING (PPI-M) 2 nd Quarter 2014
PRODUCER PRICE INDEX - MANUFACTURING (PPI-M) 2 nd Quarter 2014 (Base year: 2007 =100) 1. Introduction The Producer Price Index of the Manufacturing secr (PPI-M) measures pure price changes in the effective
More informationΕπιχειρησιακή Συνέχεια και Εφοδιαστική Αλυσίδα, 14 Οκτωβρίου Moving ahead in a changing environment
Moving ahead in a changing environment Changes in consumer behavior and their effect on customer service levels Change of customer requirements to smaller quantities and shorter delivery times due to:
More informationWhitepaper. Manual vs. Automated Matches
Whitepaper Manual vs. Automated Matches Product Comparison as an Essential Retail Element Whether a retailer monitors competitors to make sure its prices are optimal or uses an aggressive pricing strategy
More informationA New Bakery. Your Assignment: Grade 8 Math A New Bakery
A New Bakery Your Assignment: Monica and Lauren are two friends who have decided to open a bakery together. Use your knowledge of rational numbers, functions, the Pythagorean Theorem, and the volume of
More informationSolar Payback: Andrew Reddaway Alternative Technology Association. June 2014
Solar Payback: the devil is in the detail Andrew Reddaway June 2014 Solar Payback the simplest view Generation x Value = Benefit Solar Payback the simplest view Generation x Value = Benefit There are other
More informationThe FEWS Index: Fixed Effects with a Window Splice
Journal of Official Statistics, Vol. 32, No. 2, 2016, pp. 375 404, http://dx.doi.org/10.1515/jos-2016-0021 The FEWS Index: Fixed Effects with a Window Splice Frances Krsinich 1 This article describes the
More informationCONSUMER PRICE INDEX, MIDWEST REGION MARCH 2017
For Release: Friday, April 14, 17-438-KAN MOUNTAIN-PLAINS INFORMATION OFFICE: Kansas City, Mo. Technical information : Media contact : (816) 285-7000 BLSInfoKansasCity@bls.gov www.bls.gov/regions/mountain-plains
More informationUsing Enterprise Portfolio Management for Business Change Management
Using Enterprise Portfolio Management for Business Change Management Dr Antonie van Rensburg WITS Business School, Tel: +27 (0)11 717 3586 (w) Fax: +27 (0)11 643 2336 Cell : 082 702 3258 E-mail: vanrensburg.a@wbs.ac.za
More informationTask analysis. Readings:
Task analysis Readings: Dix et al 5.5; 15.1, 15.2, 15.3, 15.7 The 1984 Olympic Message System: a test of behavioral principles of system design by John Gould et al. CACM, v30 n9, 1987. 1 What is Task Analysis?
More informationRecent developments in the Swiss CPI: scanner data, telecommunications and health price collection
Statistique suisse Statistik Schweiz Statistica svizzera Statistica svizra Swiss Statistics 9th Ottawa Group Meeting on Prices 14th to 16th May 2006, London Recent developments in the Swiss CPI: scanner
More informationSeminar on timeliness, methodology and comparability of rapid estimates of economic trends
ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Seminar on timeliness, methodology and comparability of rapid estimates of economic trends Ottawa, 27-29 May 2009 Session 3 SHORT-TERM
More informationSeminar on timeliness, methodology and comparability of rapid estimates of economic trends
ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Seminar on timeliness, methodology and comparability of rapid estimates of economic trends Ottawa, 27-29 May 2009 Session 3 SHORT-TERM
More informationTHE INDEX OF RETAIL PRICES
THE INDEX OF RETAIL PRICES REVISION OF THE INDEX OF RETAIL PRICES The revision of the Index of Retail Prices is a process that is undertaken following the conduct of a Household Budget Survey (HBS), since
More informationFUNDAMENTAL STAGES IN DESIGNING PROCEDURE OF STATISTICAL SURVEY
FUNDAMENTAL STAGES IN DESIGNING PROCEDURE OF STATISTICAL SURVEY PÉTER PUKLI The mission of National Statistics Institutes (NSIs) is to meet the statistical needs of the different user groups. Consequently,
More informationTerminologies Terminologies on the survey
Terminologies Terminologies on the survey The term Item refers to the name or category for commodities and services. The term Specification refers to the attributes of each item.
More informationANNUAL QUALITY REPORT
ANNUAL QUALITY REPORT FOR THE SURVEY Consumer Price Index (CPI) Harmonised Index of Consumer Prices (HICP) FOR 2014 Prepared by: Mojca Zlobec Date: July 2016 1/11 Table of Contents 0 Methodological Explanations...
More informationConsumer Price Indices (User s methodological manual) 2018
Consumer Price Indices (User s methodological manual) 2018 Prepared by: Headed by: Prices Statistics Department Jiří Mrázek Contact persons: Pavla Šedivá E-mail: pavla.sediva@czso.cz Tel: + 420 274 052
More informationAn assessment tool within the customer/sub-contractor negotiation context
An assessment tool within the customer/sub-contractor negotiation context A. LETOUZEY, L. GENESTE, B. GRABOT LGP/ENIT Avenue d'azereix - BP 1629 F-65016 TARBES Cedex FRANCE Abstract: - In the current competitive
More informationChallenges in integrating Market Prices and Traditional Agricultural Price Statistics. Sangita Dubey Statistics Division, FAO
Challenges in integrating Market Prices and Traditional Agricultural Price Statistics Sangita Dubey Statistics Division, FAO IICA 27, Panama City, 2-4 September 2015 Outline 1. Background: Types of price
More informationThe UK Logistics Report. Grocery and FMCG Sector 2018
The UK Logistics Report Grocery and FMCG Sector 2018 Introduction Logistics provides one of the essential infrastructures upon which UK commerce is based. A force of 1.8 million people who work day and
More informationCONSUMER PRICE INDEX (BASE PERIOD NOVEMBER 2009 = 100)
CONSUMER PRICE INDEX (BASE PERIOD NOVEMBER 2009 = 100) No. 554 MAY 2016 StatisticalNews BRIEF METHODOLOGY: The CPI measures the over time in prices of goods and services consumed by people for day-to-day
More informationSEA and Analysis of Alternatives: a pilot study for a metal building application
SEA and Analysis of Alternatives: a pilot study for a metal building application Dr Steve Binks Regulatory Affairs Director International Lead Association Background Pilot SEA completed in December 2008
More informationNotes of discussion from Poster Session
331 st Meeting of the Voorburg Group on Service Statistics Notes of discussion from Poster Session Part 1: Initialisation Participants: Marcus Fridén, Sweden Maja Dozet and Josipa Kalčić Ivanić, Croatia
More informationVolume Author/Editor: W. Erwin Diewert, John S. Greenlees and Charles R. Hulten, editors
This PDF is a selection from a published volume from the National Bureau of Economic Research Volume Title: Price Index Concepts and Measurement Volume Author/Editor: W. Erwin Diewert, John S. Greenlees
More informationAbstract. Acknowledgments
Abstract Acknowledgments Contents ii Forecasting Consumer Price Indexes for Food / TB-1883 Economic Research Service/USDA Summary A food price-forecasting model is developed to provide information about
More informationIntroducing Turnover indices. Date
Introducing Turnover indices 1 Turnover definition Turnover is the amount of sales (excluding taxes) realised by the company with third parties in the course of its normal and current professional activity.
More informationSolution Evaluation. Chapter Study Group Learning Materials
Chapter Study Group Learning Materials 1 2015, International Institute of Business Analysis (IIBA ). Permission is granted to IIBA Chapters to use and modify this content to support chapter activities.
More informationPrice and volume measures in national accounts - Resources
Price and volume measures in national accounts - Resources by A. Faramondi, S. Pisani 16-20 march 2014 CATEGORY (1) and output for own final use Output for own final use is to be valued at the basic prices
More informationEXECUTIVE SUMMARY HOT CATEGORY KEY INDICATORS FMCG GROWTH RETAIL LANDSCAPE SPOTLIGHT
EXECUTIVE SUMMARY 1 2 3 4 5 KEY INDICATORS FMCG GROWTH HOT CATEGORY RETAIL LANDSCAPE SPOTLIGHT Vietnam economy improves, boosted by the strong performance of the wholesale & retail and export. Urban 4
More informationThesis Projects Outline & Examples
Logistics, Procurement and Supply Chain Management MSc Thesis Projects Outline & Examples Dr Hendrik Reefke Email: hendrik.reefke@cranfield.ac.uk 1 www.cranfield.ac.uk/som Benefits Provides external expertise
More informationBuilding the Business Case on Advanced Metering Infrastructure (AMI) Fabio Dominguez Elster Electricity, LLC Marketing Manager August 16, 2006
Building the Business Case on Advanced Metering Infrastructure (AMI) Fabio Dominguez Elster Electricity, LLC Marketing Manager August 16, 2006 Should we invest in an AMI system? Is there a business case?
More information