Sampling Schemes Using Scanner Data for the Consumer Price Index

Author(s):  
Claudia De Vitiis ◽  
Alessio Guandalini ◽  
Francesca Inglese ◽  
Marco Dionisio Terribili
2014 ◽  
Vol 6 (2) ◽  
pp. 137-155 ◽  
Author(s):  
Martin Eichenbaum ◽  
Nir Jaimovich ◽  
Sergio Rebelo ◽  
Josephine Smith

Recent empirical work suggests that small price changes are relatively common. This evidence has been used to criticize classic menu-cost models. In this paper, we use scanner data from a national supermarket chain and micro data from the Consumer Price Index to reassess the importance of small price changes. We argue that the vast majority of these changes are due to measurement error. We conclude that the evidence on the prevalence of small price changes is much too weak to be used as a litmus test of nominal rigidity models. (JEL C82, E31, L11, L81)


2019 ◽  
Vol 35 (3) ◽  
pp. 683-697
Author(s):  
Li-Chun Zhang ◽  
Ingvild Johansen ◽  
Ragnhild Nygaard

Abstract There is generally a need to deal with quality change and new goods in the consumer price index due to the underlying dynamic item universe. Traditionally axiomatic tests are defined for a fixed universe. We propose five tests explicitly formulated for a dynamic item universe, and motivate them both from the perspectives of a cost-of-goods index and a cost-of-living index. None of the indices that are currently available for making use of scanner data satisfies all the tests at the same time. The set of tests provides a rigorous diagnostic for whether an index is completely appropriate in a dynamic item universe, as well as pointing towards the directions of possible remedies. We thus outline a large index family that potentially can satisfy all the tests.


2019 ◽  
Vol 19 (163) ◽  
Author(s):  
Francien Berry ◽  
Brian Graf ◽  
Michael Stanger ◽  
Mari Ylä-Jarkko

The consumer price index (CPI) is a key economic indicator used to gauge inflation, adjust wages, pensions, and social benefits. The producer prices index (PPI) is used for forecasting and deflating GDP estimates. Both indexes are used by the Fund, policymakers, and researchers for global, regional, and domestic surveillance. In this context, the paper evaluates the soundness of the indexes by assessing four major criteria: frequency of updating the weights, the index coverage, timeliness, and the use of international classifications. We discuss online and scanner data as frontier issues. The study shows that the CPI is universally and frequently compiled, timely, and fairly-well aligned with international standards. However, the weights used to compile the index are updated in only 45 percent of economies and have national coverage in 76 percent. PPIs, compiled by only 126 economies are timely, but there is scope for continued improvement as only 36 percent of economies have updated PPI weights and approximately 67 percent maintain the recommended coverage. Outdated weights impact the reliability of the indexes for policy analysis. Frequently updated weights and well-represented coverage mitigate against biases and ensure that the indexes properly measure the price evolution in the economy.


2020 ◽  
Vol 12 (1) ◽  
pp. 104-152
Author(s):  
Fernando Alvarez ◽  
Francesco Lippi

We present a sticky price model that features the coexistence of many price changes, most of which are temporary, with a modest flexibility of the aggregate price level. Stickiness is introduced in the form of a price plan, namely a set of two prices: either price can be charged at any moment but changing the plan entails a menu cost. We analytically solve for the optimal plan and for the aggregate output response to a monetary shock. We present evidence consistent with the model implications using scanner data, as well as Consumer Price Index data across a wide range of inflation rates. (JEL D22, E31, E52, L11, O11, O23)


2003 ◽  
Vol 17 (1) ◽  
pp. 23-44 ◽  
Author(s):  
Jerry Hausman

Four sources of bias in the Consumer Prices Index (CPI) have been identified. The most discussed is substitution bias, which creates a second order bias in the CPI. Three other changes besides prices changes create first order effects on a correctly measured cost of living index (COLI). I explain in this paper that a “pure price” based approach of surveying prices to estimate a COLI cannot succeed in solving the 3 problems of first order bias. I discuss economic and econometric approaches to measuring the first order bias effects as well as the availability of scanner data that would permit implementation of the techniques.


2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Hansen Rusliani

Penelitian ini bertujuan untuk mengetahui dampak perbankan syari’ah terhadap pertumbuhan ekonomi di Indonesia dan Malaysia. Data yang digunakan dalam penelitian ini merupakan data primer (interview) dan data sekunder dalam bentuk bulanan yang diperoleh dari Badan Pusat Statistik Ekonomi dan Keuangan Indonesia Bank Indonesia (SEKI-BI) dan Statistik Perbankan Syari’ah Bank Indonesia (SPS-BI) serta data dari Bank Negara Malaysia dan Departemen Statistik Malaysia dalam periode waktu kurun waktu 16 tahun, 2000 sampai dengan 2015. Observasi penelitian dilakukan di Indonesia dan Malaysia untuk memperkaya analisis. Penelitian ini menggunakan Vector Autoregression (VAR), Uji Kointegrasi serta dikombinasikan dengan Response Function (IRF) dan Decomposition (FEVD) untuk melihat interaksi antara faktor makro ekonomi dengan pembiayaan dalam jangka panjang. Adapun variabel yang digunakan adalah total pembiayan syari’ah (Total Syari’ah Financing) dan Gross Domestic Product (GDP) sebagai representasi pertumbuhan ekonomi. Untuk tambahan variabel digunakan Consumer Price Index (CPI) sebagai representasi tingkat inflasi. Hipotesis penelitian yaitu terdapat pertumbuhan ekonomi setiap tahunnya dikedua negara tersebut pasca krisis moneter.


2016 ◽  
Author(s):  
Steven Paben ◽  
William Johnson ◽  
John Schilp

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