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Enregistrement W1600584503 · doi:10.30541/v47i3pp.267-285

Biases in Consumer Price Index Methodology in Pakistan: Suggestions for Improvements

2024· article· en· W1600584503 sur OpenAlex

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Notice bibliographique

RevueThe Pakistan Development Review · 2024
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomics of Agriculture and Food Markets
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConsumer price index (South Africa)Index (typography)EconomicsEconometricsComputer scienceMacroeconomicsWorld Wide WebMonetary policy

Résumé

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The issues relating to the complexity of the measurement of the Consumer Price Index (CPI) which is regarded as the best and most well known indicator of inflationary trends and without referring to which economic policies cannot be evaluated have long been debated. Any measurement error in CPI may over or understate inflation, which can have serious repercussions on monetary, fiscal and other economic management policies. The report of the Boskin Commission [Boskin, et al. (1996)] has identified the possible sources of bias in the CPI. These biases which this study has also corroborated through a primary survey of selected households relate to commodity and outlet substitution, quality adjustment and new product introduction as well as index calculation in the existing methodologies. In this paper these biases have been evaluated for Pakistan and ways to improve the construction of the Index have been suggested. Other issues in Pakistan relate to selecting a representative product (or good), defining average quality, data collection, weights determination and base year change. The use of the Geometric means index formula and Laspeyre’s Index to reduce the formula bias has been proposed in this study. 1. INTRODUCTION The Consumer Price Index (CPI) is an index number measuring the average price of consumer goods and services purchased by households. It is one of the several price indices calculated by national statistical agencies. The percent change in the CPI is considered as a measure of inflation. The CPI can be used to index (i.e., adjust for the effects of inflation) wages, salaries, pensions, or regulated or contracted prices. The CPI, along with the population census and the National Income and Product Accounts, is one of the most closely watched national economic statistics. The relative prices of different goods and services change frequently in a time interval due to various factors and these changes lead to change in the consumers’ buying behaviour. As there has been sizeable increase in the population of the lower and the middle class,1 demand patterns have tended to shift increasingly to services2 away from goods, and to characteristics of goods and services like better quality, variety and greater convenience. But all these factors, plus others, mean a larger part of what is produced and consumed in an economy is more complex to measure than it was a couple of decades ago when the economy largely consisted of smaller number of easier to measure items such as flour and onions.3 Inflation in a complex dynamic market economy is hard to measure. Further, the rapidly changing behaviour of economic agents puts tremendous pressure on a statistical system to keep up with the change and provide the coverage of context and scope. However, agencies which construct the CPI are constantly engaged in research to improve the measurement. The Federal Bureau of Statistics (FBS) is the main agency doing this work in Pakistan. Like several other developing countries4 the FBS has no research programme to improve the CPI estimation methodology. As a result it could not incorporate any remedial measure for several biases which were pointed out by the Boskin Commission more than a decade ago. The report of the Boskin Commission [Boskin, et al. (1998)] has focused a great deal of attention on the CPI issues. This report created much interest in research circles. It identified possible sources of bias in the CPI like substitution, outlet, quality and new product. This report has called into question the accuracy and relevancy of the CPI even when international standards are followed. Since the release of this report, major revisions in the CPI have been under consideration in various countries in the light of the issues raised in it. New Zealand, Australia, Canada, Japan and European countries have taken a lead in this regard. Many issues on CPI methodology, like outlet and substitution biases have been the object of considerable research in these countries. On the contrary developing countries are facing two main constraints in revising the construction of the CPI. The first one is the shortage of trained economists and statisticians in the area of price statistics, and the second is the concerned agencies’ limited funding capacity.

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Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,909
Score d'incertitude au seuil0,714

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,117
Tête enseignante GPT0,356
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle