An Index Number Formula Problem: the Aggregation of Broadly Comparable Items Mick Silver International Monetary Fund Paper presented at the 2008 World.

Slides:



Advertisements
Similar presentations
Efficiency and Productivity Measurement: Index Numbers
Advertisements

1 Index Numbers Summary measures of change over time or differences in levels in set of related variables –Price index numbers – output and input price.
United Nations Statistics Division/DESA
1 Volume measures and Rebasing of National Accounts Training Workshop on System of National Accounts for ECO Member Countries October 2012, Tehran,
U. S. Bureau of Labor Statistics Price Differentials Across Outlets in CPI Data, John Greenlees Robert McClelland May 15, 2008.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 17 Index Numbers n Price Relatives n Aggregate Price Indexes n Computing an Aggregate.
Measuring the Effects of Terms of Trade in National Accounts Marshall Reinsdorf Presentation for PWT Workshop University of Pennsylvania May 11, 2008.
INFO 4470/ILRLE 4470 Price Indices: Theory and Applications John M. Abowd and Lars Vilhuber February 28, 2011.
Norms & Norming Raw score: straightforward, unmodified accounting of performance Norms: test performance data of a particular group of test takers that.
The Re-design of the Dutch CPI Jan de Haan Statistics Netherlands Geneva, May 2006.
So are how the computer determines the size of the intercept and the slope respectively in an OLS regression The OLS equations give a nice, clear intuitive.
International Guidelines on trade indices Training on calculation of External trade indices for statisticians in ESCWA countries December
CHAPTER 5 – Session 11 United Nations Statistics Division/DESA Revision of the Index of Industrial Production (IIP) publication by the UNSD.
1 International Trade Statistics Expert Meeting, September 2006, OECD Paris International Export and Import Price Indices Manual Paul Schreyer, OECD.
« Sales prices, replacement prices and trade margins - tracing price changes through the UK retail sector -» 29th General Conference of The International.
United Nations Economic Commission for Europe Statistical Division Calculation of the consumer price index - Recommendations of the CPI Manual Joint EFTA/UNECE/SSCU.
Index Numbers Chapter 17.
Price Statistics Seminar on challenges in economic statistics
Slide 1 © 2002 McGraw-Hill Australia, PPTs t/a Introductory Mathematics & Statistics for Business 4e by John S. Croucher 1 Index numbers n Learning Objectives.
Rebasing and Linking of National Accounts
Consumer Behaviour in UK Price Indices Joe Winton, Robert O’Neill & Duncan Elliott Office For National Statistics 1.
Nobel Prize - Economics Three Amigos Eugene Fama - U. Chicago Lars Peter Hansen - U. Chicago Robert Shiller - Yale Financial Economics American.
PRICE AND VOLUME MEASURES NATIONAL ACCOUNTS STATISTICS WORKSHOP PRICE AND VOLUME MEASURES Workshop on national accounts for Asian member countries of the.
Constant Price Estimates Expert Group Meeting on National Accounts Cairo May 12-14, 2009 Presentation points.
Effects of Terms of Trade Gains and Tariff Changes on the Measurement of U.S. Productivity Growth Rob Feenstra, UC Davis Marshall Reinsdorf, BEA Matt Slaughter,
Workshop on Price Statistics Compilation Issues February 23-27, 2015 Compilation of Elementary Indices Gefinor Rotana Hotel, Beirut, Lebanon.
CHAPTER 17: Index Numbers to accompany Introduction to Business Statistics third edition, by Ronald M. Weiers Presentation by Priscilla Chaffe-Stengel.
Composite Price Index  Unweighted Aggregative method  Unweighted Average of Relatives method  Weighted Aggregative Method  Paasche Index  Laspeyres.
The RPPI Handbook Project Bert M. Balk Statistics Netherlands and Rotterdam School of Management Erasmus University UNECE/ILO Meeting on CPI, Geneva,
1 1 Slide Slides Prepared by JOHN S. LOUCKS St. Edward’s University © 2002 South-Western/Thomson Learning 
18- 1 Chapter Eighteen McGraw-Hill/Irwin © 2005 The McGraw-Hill Companies, Inc., All Rights Reserved.
Chapter 6 Index numbers. Index Numbers Index numbers allow relative comparisons over time It measures the percentage change in the value of some economic.
INDEX NUMBERS Definition of Index Number l A summary measure that states a relative comparison between groups of related items l Price Relative or Percentage.
Ka-fu Wong © 2003 Chap Dr. Ka-fu Wong ECON1003 Analysis of Economic Data.
Searching for the Holy Grail of Index Number Theory Bert M. Balk Statistics Netherlands and Rotterdam School of Management Erasmus University Washington.
Price-updating of weights in the CPI Why do we price-update expenditure weights? - Conceptual issues - Practical consequences What does the CPI Manual.
Managerial Economics Demand Estimation & Forecasting.
Handbook on Residential Property Price Indices Chapter 5: Methods Jan de Haan UNECE/ILO Meeting, May 2010.
United Nations Economic Commission for Europe Statistical Division Producer Price Indices - Recommendations of international manuals Joint EFTA/UNECE/SSCU.
 Productivity  Economic growth and productivity  Main processes of a company  Productivity model  Illustration of the real income distribution processes.
UNECE Workshop on Consumer Price Indices Session 2: Sampling of Outlets and Products Presentation by Cengiz Erdoğan, TurkStat October Istanbul, Turkey.
UNECE Workshop on Consumer Price Indices Session 4: Practical Experiences with Calculating Elementary Indices and Treatment of Missing Prices Presentation.
Chain indices of the cost of living and the path-dependence problem: an empirical solution Nicholas Oulton Centre for Economic Performance, London School.
The Measurement of Nonmarket Sector Outputs and Inputs Using Cost Weights 2008 World Congress on National Accounts and Economic Performance Measures for.
Core Inflation: Measures and Their Choice Mick Silver IMF Statistics Department Joint UNECE/ILO Meeting on Consumer Price Indices (Geneva, May 2006)
McGraw-Hill/Irwin Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. Index Numbers Chapter 15.
1 The Decomposition of a House Price index into Land and Structures Components: A Hedonic Regression Approach by W. Erwin Diewert, Jan de Haan and Rens.
Copyright 2010, The World Bank Group. All Rights Reserved. Producer prices, part 1 Introduction Business Statistics and Registers 1.
Index numbers Value-, price-, quantity indices. Measuring changes in time Indices: relative change in price, quantity and value of products or services.
 Definition  Unweighted and Weighted Index Numbers ( Simple Index Numbers, Laspeyre’s, Paasche’s Index, Fisher’s “Ideal” Index)  CPI ( Consumer Price.
Quality Change and Price Indexes Comments by Ellen Dulberger Brookings Workshop on Economic Measurement, February 1, 2001 Second Session Hedonic Price.
Index Numbers Chapter 15 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
Workshop on Price Index Compilation Issues February 23-27, 2015
Sampling Design and Analysis MTH 494 Lecture-21 Ossam Chohan Assistant Professor CIIT Abbottabad.
Price Measurement Papers at the Upjohn Institute Conferences on Measuring the Effects of Globalization Marshall Reinsdorf US Bureau of Economic Analysis.
1 AAEC 4302 ADVANCED STATISTICAL METHODS IN AGRICULTURAL RESEARCH Part II: Theory and Estimation of Regression Models Chapter 5: Simple Regression Theory.
Accounting for Spatial Variation of Land Prices in Hedonic Imputation House Price Indexes: A Semi- Parametric Approach Jan de Haan * and Yunlong Gong **
1 Chapter 4: Elements for a Conceptual Framework Workshop on Residential Property Price Indices: Statistics Netherlands, The Hague, February 10-11, 2011.
METAC Workshop March 14-17, 2016 Beirut, Lebanon National Accounts Compilation Issues Session 12 : Price and volume measures.
METAC Workshop March 14-17, 2016 Beirut, Lebanon National Accounts Compilation Issues Session 5.1: Construction, Price and Volume measures.
Index of Industrial Production: Methods of Compilation
ECON 201 Indices Week
Value-, price-, quantity indices
Jan de Haan Bert M. Balk Carsten Boldsen Hansen
Chapter Eighteen McGraw-Hill/Irwin
Paper F2 Management Accounting
Chapter Eighteen McGraw-Hill/Irwin
Item 20: Price and Volume Measures
Rebasing and Linking of National Accounts
Workshop on Residential Property Price Indices
Presentation transcript:

An Index Number Formula Problem: the Aggregation of Broadly Comparable Items Mick Silver International Monetary Fund Paper presented at the 2008 World Congress on National Accounts and Economic Measurement, Washington DC, May, 2008

On formula and product heterogeneity If data on matched prices and quantities are available:  a superlative price index number formula such as Fisher is best to aggregate heterogeneous items, and a unit value index is biased, and  a unit value index is best to aggregate homogeneous ones, and a superlative index is biased. SNA 1993 and 2008; CPI and PPI Manuals; Balk, Diewert and others.  What about broadly comparable ones?

An illustration

Unit value and Fisher price index

Unit value indices for heterogeneous items:  The test approach (Balk and Diewert) The unit value index fails the Proportionality Test: that is, if all prices are multiplied by the positive number, then the new price index is. The unit value index fails the Invariance to Changes in the Units of Measurement (commensurability) Test: that is, the price index does not change if the units of measurement for each product are changed. Inappropriate for XMPIs using customs data (Silver)  Economic theoretic approach Bradley (2005) compares the bias that results from using unit values as “plug-ins” for prices for a COLI. Only in the uninteresting case of no price dispersion in either the current or reference period will the unit value (plug-in) index be unbiased against the COLI.

Unit value indices for homogeneous items:  Passes the time aggregation problem.  If unit value index is used to deflate a corresponding value change, the result is a change in total quantity which is intuitively appropriate,  Tests not designed for homogeneous items.

When to use unit value indexes and when Fisher?  Balk: if the splitting into homogeneous and heterogeneous items was not feasible, he advised a price index.  Diewert: if detailed data on strictly homogeneous goods unavailable (specified item by outlet for CPI), then unit value over outlets.  Dálen argued for quality-adjusted unit value indexes that remove the effect on prices of product heterogeneity and de Haan implemented this in a hedonic setting.  SNA 2008 notes exception of institutionalized price discrimination to using unit values for homogeneous case. Asymmetry in theory for imports and exports.

Numerical relationship: unit value and Fisher price index  Balk (1998) and Parniczky (1974) seminal work: decomposition in terms of quantity-weighted covariances.

Numerical relationship: unit value and Fisher price index

Decomposition helps  Identifies role of substitution effect;  the unit value bias will be equal to zero if: all base period price OR quantity changes are equal to each other OR there is no (weighted) correlation between the base period price and quantity changes; AND all base period prices OR base and current period quantities are equal to each other OR there is no (unweighted) correlation between the base period prices and base and current period quantities;  relative position of UV, Las, Pas, and Fisher;  identifies levels effect;  product heterogeneity via CVs.

If unit value indices are right for homogeneous items, what about broadly comparable goods and services?  What about a quality-stripped unit value index? Dálen (2001); De Haan (2004 and 2007)?  Consider a regression of price on k quality characteristics:

But for broadly comparable goods some of the price change is a unit value shift in levels and some not...  Weighted average of Fisher and quality- adjusted Fisher  Weights based on: elasticity of substitution proportion of price variation due to heterogeneity: RSS

An appropriate index..  should have the property that if all price variation is explained by the hedonic regression, the index is a Fisher index; if none of the price variation is explained by the hedonic regression, the index is a unit value index; as the percentage of price variation explained by the hedonic regression increases, so too will the weight given to the Fisher component.

Empirical work  Useful work by de Haan on unit values and quality- adjusted ones: TVs, washing machines, refrigerators and PCs – for matched and unmatched, OLS and WLS. For all products, except PCs, QAUV was less than weighted TDI, and for PCs pretty close.  This work in progress is on television sets for matched models – simpler – it is clear that hedonic is about product heterogeneity only. The decomposition is to explain why formulas differ in terms of signs on rho and magnitude of CVs and to examine different formulas.

Empirical work

Summary  For the aggregation of homogeneous items, the unit value index is the best index and superlative index numbers biased, and for the aggregation of heterogeneous items, superlative index numbers are best index and unit value index numbers biased.  Institutionalized price discrimination is exception for buyer of homogeneous items, but not seller.  The factors determining the difference between unit value indices and Laspeyres, Paasche and Fisher price indices were established.  Quality adjustments to the prices to mitigate price dispersion due to the slight product heterogeneity would be appropriate for unit value indices.  For broadly comparable goods and services, it is more complex.