1 Reliability of Ideal Indexes Gholamr eza Hajargasht

2025-04-30 0 0 754.67KB 36 页 10玖币
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Reliability of Ideal Indexes
Gholamreza Hajargasht
The University of Queensland
Email: g.hajargasht@uq.edu.au
Abstract
The Fisher and Gini-Eltetö-Köves-Szulc (GEKS) are celebrated as ideal
bilateral and multilateral indexes due to their superior axiomatic and econ-
theoretic properties. The Fisher index is the main index used for constructing
CPI by statistical agencies and the GEKS is the index used for compiling
PPPs in World Bank’s International Comparison Program (ICP). Despite
such a high status and the importance attached to these indexes, the
stochastic approach to these indexes is not well-developed and no measures
of reliability exist for these important economic statistics. The main objective
of this paper is to fill this gap. We show how appropriate reliability measures
for the Fisher and GEKS indexes, and other ideal price index numbers can be
derived and how they should be interpreted and used in practice. In an
application to 2017 ICP data on a sample of 173 countries, we estimate the
Fisher and GEKS indexes along with their reliability measures, make
comparisons with several other notable indexes and discuss the implications.
JEL Codes: C43; C13; C18; C80
Key words: Stochastic Approach; Purchasing Power Parities (PPP); ICP; Product-
Dummy (PD) method; Bootstrap; Reliability Measures; Walsh; Fisher
The author is indebted to D. S. Prasada Rao for helpful suggestions and comments on
earlier drafts of this paper. Financial support from the Australian Research Council
(ARC) Discovery Project DP170103559 is gratefully acknowledged.
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1- Introduction
National statistical agencies compile and publish consumer (and producer) price
index numbers on a monthly or quarterly basis. Estimates of gross domestic product
at constant prices are also published as a part of the national accounts data.
International agencies such as the World Bank, OECD and Eurostat produce estimates
of purchasing power parities (PPPs) and real expenditures through the International
Comparison Program (ICP). A distinguishing feature of the national publications on
CPI and international publications on PPPs is the lack of any indication of reliability
of the published figures. For example, in the case of international comparisons, one
may have a higher level of confidence in price comparisons between countries at a
comparable level of development (e.g. between USA and Germany) than a
comparison between two dissimilar countries (e.g. USA and Kenya). The main
objective of this paper is to fill this gap by providing a framework for computing and
understanding reliability measures for Fisher, GEKS and other notable index
numbers.
Fisher (1922) in his momentous book, The Making of Index Numbers, listed 126 index
number formulae. Additional formulae have been proposed since then. Among them,
the Fisher index has been crowned as the ideal price index for bilateral comparisons
due to its superior axiomatic properties and being superlative (see e.g., Consumer
Price Index Theory, 2020). It is the index used in constructing consumer price indexes
(CPI) by many national and international agencies (also recommended by the
Consumer Price Index Manual: Concepts and Methods
1
, 2020) and in constructing
1
Hereafter we refer to this book as the Manual.
3
purchasing power parities (PPPs) by the World Bank’s International Comparison
Program (World Bank 2020). The Fisher index is also a building block in constructing
multilateral price indexes for temporal and spatial comparisons. Fisher along with
Törnqvist are also considered ideal for computing productivity measures both in
theory (see e.g., Diewert, 1992) and in practice (e.g., by US Bureau of Labor Statistics).
Despite the popularity of the Fisher index, the stochastic approach to it is not well-
developed. In particular, no formula for its variance exists.
This paper seeks to fill this gap by developing a modern stochastic approach to the
Fisher index and provide a simple formula for its variance. We also discuss measures
of reliability for other important indexes including Törnqvist, Sato-Vartia and Walsh
and compare them to the Fisher index. Empirical results reported here make use of
data from the 2017 Round of the International Comparison Program (ICP) covering
173 countries. Other contributions of the paper on bilateral indexes include: (i) a
stochastic approach and a formula for the variance of the Walsh index; (ii) interpreting
variance of log-Fisher and other indexes as price dissimilarity measures; and (iii)
demonstrating that the two main stochastic approaches to index numbers produce the
same index and incredibly the same variance.
A bilateral index is suitable for comparing two time periods or two countries. When
the comparison is extended to three or more, the index needs to become multilateral.
Transitivity is an internal consistency requirement for a multilateral index. None of
the widely used index number methods, including Fisher, Tornqvist and Walsh
indices, satisfy transitivity. Several approaches exist for obtaining transitive
multilateral price indexes (see e.g., Balk 1996; Hill 1997; or Diewert 1999). However, a
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method due to Gini (1931), Eltetö and Köves (1964) and Szulc (1964), known as the
GEKS, is the recommended method for international price comparisons. Since 2005,
ICP uses GEKS to compare prices and real incomes across countries (see e.g., Diewert
2013). GEKS is used by the OECD in its triennial comparisons and by Eurostat in its
annual comparisons (see Eurostat 2012). GEKS has also been suggested as a good
method to construct temporal chained indexes (Diewert and Fox, 2020). Again, despite
the importance attached to GEKS, the stochastic approach to GEKS is not well-
developed. In this paper we propose an appropriate stochastic approach and use the
2017 ICP data to show that it produces sensible reliability measures and discuss the
implications.
The structure of the paper is as follows: Section 2 introduces the new stochastic
approach and Section 3 applies it to the Fisher ideal index. Section 4 presents the
stochastic approach to several other notable bilateral indexes. In Section 5 we discuss
alternative interpretations of the reliability measures. Section 6 develops the stochastic
approach to GEKS. In Section 7, we estimate the Fisher and GEKS indexes using 2017
ICP data on a sample of 173 countries and compare them with some of the other
notable indexes. Two appendices complement the materials in the text.
2- Stochastic Approaches to Price Index Numbers
Suppose there are N commodities indexed with
1,....,nN=
,
nj
p
is the price of n-th item
in the j-th location (or time period)
2
and
nj
e
is expenditure on the n-th item in j-th
location/period. Quantity is defined as
, expenditure shares as
2
- In our notation, j indicates a location (e.g. a country) in the former and a time period in the latter case. We use
location/period to include both.
5
1
N
nj nj nj
n
s e e
=
=
and
jk
P
denotes the price index of the j-th relative to the k-th
location/period.
The stochastic approach to index numbers (see e.g. Consumer Price Index Theory,
2020, Chapter 4) can be conducted in two basic ways. One approach relies on
modelling price ratios, the alternative approach models prices according to the so-
called law of one price. In the analysis below we use the former approach, but in
Appendix-A, we show that the two approaches are equivalent i.e. they produce the
same formula for an index and its variance. The stochastic approach to index numbers
also requires a way of incorporating weights and an appropriate estimation
procedure. There have been two methods to incorporate weights in the stochastic
approach. Here we briefly describe these two methods and propose a new method
that we use in this paper.
Weights through heteroskedasticity: A stochastic approach to index numbers starts with
a specification such as
,1,...,
n jk jk n
P v n N
= + =
(1)
with
( ) 0
n
Ev =
and where
,n jk
’s are price relatives (e.g.
,n jk nj nk
pp
=
) or log of price
relatives and
jk
P
is a bilateral or log of a bilateral price index
3
. Under the early
stochastic approach of 1980s and 1990s the weights (
n
w
s) are incorporated through the
variance of the error term by specifying
2
()
nn
Var v w
=
and the model is estimated
using generalized least squares (GLS). This heteroskedastic specification has been
criticized (see e.g. Diewert 1995) since variability in price ratios may not have a simple
3
Alternative choices of weights lead to alternative indexes such as Laspeyres, Paasche, Tornqvist, etc.
摘要:

1ReliabilityofIdealIndexesGholamrezaHajargashtTheUniversityofQueenslandEmail:g.hajargasht@uq.edu.auAbstractTheFisherandGini-Eltetö-Köves-Szulc(GEKS)arecelebratedasidealbilateralandmultilateralindexesduetotheirsuperioraxiomaticandecon-theoreticproperties.TheFisherindexisthemainindexusedforconstructin...

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