Price Index Numbers under Large-Scale Demand Shocks–The Japanese Experience of the COVID-19 Pandemic

Abe, N., and D.S.P. Rao. 2020. Generalized Logarithmic Index Numbers with Demand Shocks-Bridging the Gap between Theory and Practice. Tokyo: Hitotsubashi University. (RCESR Discussion Paper Series NO.DP20-1) Available at: https://risk.ier.hit-u.ac.jp/Japanese/pdf/dp20-1_rcesr.pdf (accessed February 2022). Search in Google Scholar

Balk, B.M. 1989. “Changing Consumer Preferences and the Cost-of-Living Index: Theory and Nonparametric Expressions.” Journal of Economics 50(2): 157–169. DOI: https://doi.org/10.1007/BF01239124.10.1007/BF01239124 Search in Google Scholar

Bradley, R. 2005. “Pitfalls of using unit values as a price measure or price index.” Journal of Economic and Social Measurement 30: 39–61. DOI: https://dx.doi.org/10.3233/-JEM-2005-0243. Search in Google Scholar

Diewert, W.E. 2018. Scanner Data, Elementary Price Indexes and the Chain Drift Problem. Vancouver: Vancouver school of Economics. (Microeconomics.ca working papers erwin_diewert-2018-10, revised 25 Oct 2018.) Available at: https://pubdocs.worldbank.org/en/849511558350534104/pdf/ICP-TAG03-S34-RD-Diewert-on-Scanner-Data-and-Elementary-Price-Indexes.pdf (accessed February 2022). Search in Google Scholar

Feenstra, R.C. 1994. “New Product Varieties and the Measurement of International Prices.” American Economic Review 84(1): 157–177. Available at: https://www.jstor.org/stable/2117976 (accessed February 2022). Search in Google Scholar

Fisher, F.M., and K. Shell. 1972. “Taste and Quality Change in the Pure Theory of the True Cost of Living Index.” In Price Indexes and Quality Change, edited by Zvi Griliches: 16–54. Cambridge: Harvard University Press.10.4159/harvard.9780674592582.c3 Search in Google Scholar

Ivancic, L., W.E. Diewert, and K.J. Fox. 2011. “Scanner data, time aggregation andthe construction of price indexes.” Journal of Economerics 161(1): 24–35. DOI: https://doi.or/10.1016/i.ieconom.2010.09.003. Search in Google Scholar

Kurtzon, G. 2020. The Problem with Normalizing Preferences that Change in a Cost-of-Living Index. Washington DC: BLS (ECONOMIC WORKING PAPERS: 534) Available at: https://www.bls.gov/osmr/research-papers/2020/pdf/ec200160.pdf (accessed February 2022). Search in Google Scholar

Martin, R.S. 2020. Revisiting Taste Change in Cost-of-Living Measurement. Washington DC: BLS, Economic Working Papers: 515. Availabe at: https://www.bls.gov/osmr/research-papers/2019/pdf/ec190050.pdf (accessed February 2022). Search in Google Scholar

Neary, J.P., and K.W.S. Roberts. 1980. “The Theory of Household Behaviour under Rationing.” European Economic Review 13(1): 25–42. DOI: https://doi.org/10.1016/0014–2921(80)90045-8.10.1016/0014-2921(80)90045-8 Search in Google Scholar

Philips, L. 1974. Applied Consumption Analysis. Amsterdam: North-Holland. Search in Google Scholar

Redding, S.J., and D.E. Weinstein. 2020. “Measuring Aggregate Price Indexes with Taste Shocks: Theory and Evidence for CES Preferences.” The Quarterly Journal of Economics 135(1): 503–560. DOI: https://doi.org/10.1093/qie/qiz031. Search in Google Scholar

Tobie, J., and H.S. Houthakker. 1950–1951. “The Effects of Rationing on Demand Elasticities.” The Review of Economic Studies 18(3): 140–153. DOI: https://doi.org/10.2307/2295974.10.2307/2295974 Search in Google Scholar

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