The Distribution of the Size of Price Changes

Alberto  Cavallo; Roberto  Rigobon

Working Paper

The Distribution of the Size of Price Changes

by Alberto Cavallo and Roberto Rigobon

Abstract

Diﬀerent theories of price stickiness have distinct implications on the number of modes in the distribution of price changes. We formally test for the number of modes in the price change distribution of 36 supermarkets, spanning 22 countries and 5 continents. We present results for three modality tests: the two best-known tests in the statistical literature, Hartigan’s Dip and Silverman’s Bandwidth, and a test designed in this paper, called the Proportional Mass test (PM). Three main results are uncovered. First, when the traditional tests are used, unimodality is rejected in about 90 percent of the retailers. When we used the PM test, which reduces the impact of smaller modes in the distribution and can be applied to test for modality around zero percent, we still reject unimodality in two thirds of the supermarkets. Second, category-level heterogeneity can account for about half of the PM test’s rejections of unimodality. Finally, a simulation of the model in Alvarez, Lippi, and Paciello (2010) shows that the data is consistent a combination of both time and state-dependent pricing behaviors.

Keywords: Online Prices; Macroeconomics; Price; Change;

Language: English

Format: Print

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Citation:

Cavallo, Alberto, and Roberto Rigobon. "The Distribution of the Size of Price Changes." NBER Working Paper Series, No. 16760, September 2012.

Case | HBS Case Collection | May 2020 (Revised June 2020)

The Coronavirus (COVID-19) Pandemic and the Global Economy (A)

Alberto Cavallo and Christian Godwin

In April 2020, the world struggled to contain the exponential escalation of the coronavirus (COVID-19) pandemic. Dozens of countries had imposed restrictions on travel, work, and social gatherings. A large share of the global population was under lockdowns and unprecedented supply and demand disruptions crippled the economy. In response, central banks announced massive lending programs to avoid a financial meltdown, and governments were launching unprecedented fiscal packages designed to contain the collapse. In a matter of weeks, the pandemic turned into one of the worst global economic crises since the Great Depression. As governments struggled to make policy decisions, uncertainty and tensions were rising. How to balance the public health and economic concerns? What would be the economic and political consequences of the policy response? Was this the end of globalization, or the beginning of a new era of international cooperation? The only certainty was that some of the hardest choices still lay ahead.

Keywords: Demand and Consumers; Supply and Industry; Finance; Central Banking; Financial Markets; International Finance; Globalization; Government and Politics; Health Pandemics; Decision Making; Macroeconomics; Employment; Crisis Management; Supply Chain; Risk and Uncertainty; Air Transportation Industry; Banking Industry; Consumer Products Industry; Employment Industry; Financial Services Industry; Food and Beverage Industry; Health Industry; Medical Devices and Supplies Industry; Pharmaceutical Industry; Public Administration Industry; Retail Industry; Service Industry; Shipping Industry; Tourism Industry; Travel Industry; Asia; China; Europe; Latin America; Africa; United States;

Citation:

Cavallo, Alberto, and Christian Godwin. "The Coronavirus (COVID-19) Pandemic and the Global Economy (A)." Harvard Business School Case 720-031, May 2020. (Revised June 2020.) View Details

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The Covid-19 Pandemic has led to changes in consumer expenditure patterns that can introduce significant bias in the measurement of CPI inflation. I use data collected from credit and debit transactions in the US to update the official basket weights. I find that the Covid inflation rate is higher for both headline and core CPIs, particularly for low-income households. I find similar results in 12 of 17 additional countries. The difference is growing over time as consumers spend relatively more on food and categories with rising inflation, and relatively less on transportation and categories experiencing significant deflation.

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The Distribution of the Size of Price Changes

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