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Price-setting Microdata Analysis Network (PRISMA)

The Price-setting Microdata Analysis Network (PRISMA) was set up in 2018 by the European System of Central Banks (ESCB) to deepen the understanding of price-setting behaviour and inflation dynamics in the EU, with a view to gaining new insights into a key element of monetary policy transmission. To this end, PRISMA collects and studies various kinds of microdata, including data underlying official price indices such as the Consumer Price Index (CPI) and the Producer Price Index (PPI), scanner data and online prices.

General purpose

Modern monetary macroeconomics relies on the assumption of price stickiness, i.e. that prices do not immediately adjust to costs and demand. In standard models, price stickiness is the ultimate reason why monetary impulses affect real activity and are transmitted slowly through the economy.

Understanding the degree of price stickiness and inflation persistence is important for central banks as these determine how interest rates should be set to achieve the desired level of inflation. However, the exact nature of price stickiness and the mechanisms that are at its core are still not perfectly understood. There are two key reasons to investigate price setting using microdata rather than macrodata:

  • microdata help us understand how the behaviours of price setters aggregate to determine inflation over the business cycle
  • macrodata do not contain enough information to distinguish between different underlying mechanisms

The Eurosystem has previously organised large-scale research projects to better understand price dynamics and price setting at the micro level, such as the Eurosystem’s Inflation Persistence Network (IPN). Although much has been learned from earlier research efforts, gaps in our knowledge remain. Since the completion of the IPN project:

  • the euro area has experienced a financial crisis and a period of persistently low inflation
  • new data sources have become available (e.g. scanner data, web-scraped data)

The aim of PRISMA network is to address these challenges. For details, please consult the sections on Research in progress and Data.

Main fields of study

The PRISMA network focuses on two broad policy-relevant areas:

  1. Monetary policy implications of micro price adjustment

    • What are the relevant features of price setting in EU countries? How do they compare with those in the United States? Have they changed in the low-inflation environment?
    • What is the most relevant measure of price rigidity for monetary policy? Does state-dependent pricing/selection affect monetary policy transmission? Do sales (and product replacement) matter for monetary policy?
    • What are the drivers of sectoral heterogeneity in price setting? Do they matter for monetary policy? What are the origins of price rigidity along the production chain and how does producer price rigidity translate into consumer price rigidity?
    • Can variation in price stickiness account for non-linearities and state dependence in the Phillips curve?
    • What can microdata teach us about welfare-relevant underlying inflation?
    • How does price dispersion within and across EU countries evolve over time? Are patterns similar to those in the United States?
  2. Inflation measurement and nowcasting

    • Features of product substitution (trading up/down) over the business cycle by households. How do substitution bias and product replacement affect inflation measurement?
    • Nowcasting inflation and its components using online prices.
    • How heterogeneous are inflation rates across households?
    • How do online prices (web-scraped data) compare with offline prices (micro CPI, scanner data)?

The PRISMA network analyses multiple types of data to meet its objectives:

  1. Microdata underlying the Consumer Price Index

    • Cover a wide portion of the consumption basket (goods and services).
    • Contain monthly consumer price quotes of narrow product categories from a sample of stores in each region of a country.
  2. Microdata underlying the Producer Price Index

    • Typically cover industrial goods and services (and in many cases the agricultural sector).
    • Contain reported monthly prices observed at the first commercialisation stage without transport costs, commercialisation costs or value added tax.
  3. Scanner data

    • Contain both prices and quantities of products identified at the barcode level. There are two types of scanner data:
      • store scanner (IRi): weekly unit prices and quantities sold at the store level
      • household scanner (GfK/Kantar): purchases (transaction prices and quantities) by individual households
  4. Web-scraped price data (in progress)

    • Consumer prices scraped from websites.
    • Data available in real-time covering a wide variety of goods and services.


  • Luca Dedola, Senior Adviser in the ECB’s Directorate General Research
  • Chiara Osbat, Adviser in the ECB’s Directorate General Economics, Prices and Costs Division
  • Péter Karádi, Lead Economist in the ECB’s Directorate General Research, Monetary Policy Research Division
  • Georg Strasser, Principal Economist in the ECB’s Directorate General Research, Monetary Policy Research Division


Country Member Institution
AT Fabio Rumler Oesterreichische Nationalbank
AT Christian Beer Oesterreichische Nationalbank
AT Teresa Messner Oesterreichische Nationalbank
BE Catherine Fuss Nationale Bank van België/Banque Nationale de Belgique
BE Helene Zimmer Nationale Bank van België/Banque Nationale de Belgique
BE Riemer Faber Nationale Bank van België/Banque Nationale de Belgique
CZ Jan Babecký Česká národní banka
CZ Jan Šolc Česká národní banka
DE Sebastian Weinand Deutsche Bundesbank
DE Elisabeth Wieland Deutsche Bundesbank
DE Jan-Oliver Menz Deutsche Bundesbank
DE Henning Weber Deutsche Bundesbank
ECB Lukas Henkel European Central Bank
ECB Anton Nakov European Central Bank
ECB Riccardo Trezzi European Central Bank
ECB Omiros Kouvavas European Central Bank
ECB David Wittekopf European Central Bank
ECB Timo Reinelt European Central Bank
ECB Sergio Santoro European Central Bank
EE Lenno Uusküla Eesti Pank
ES Luis J. Álvarez Banco de España
FR Herve Le Bihan Banque de France
FR Nicoletta Berardi Banque de France
FR Erwan Gautier Banque de France
GR Theodora Kosma Bank of Greece
GR Pavlos Petroulas Bank of Greece
IT Giordano Zevi Banca d'Italia
IT Cristina Conflitti Banca d'Italia
IT Marianna Riggi Banca d'Italia
IT Alex Tagliabracci Banca d'Italia
LT Valentin Jouvenceau Lietuvos bankas
LU Thomas Mathä Banque centrale du Luxembourg
LU Ladislav Wintr Banque centrale du Luxembourg
LV Ludmila Fadejeva Latvijas Banka
LV Boriss Siliverstovs Latvijas Banka
NL Irina Stanga De Nederlandsche Bank
NL Emmanuel de Veirman De Nederlandsche Bank
NO Vegard Larsen Norges Bank
PL Aneta Wanda Błażejowska Narodowy Bank Polski
PL Paweł Macias Narodowy Bank Polski
PL Damian Stelmasiak Narodowy Bank Polski
PL Karol Michał Szafranek Narodowy Bank Polski
PT Domingos Seward Banco de Portugal
PT Fernando Martins Banco de Portugal
RO Dinu Barnea Banca Naţională a României
SK Brian Fabo Národná banka Slovenska
SE Mathias Klein Sveriges Riksbank

Research assistants

  • Juergen Amann (2019/2020)
  • Regina Kiss (2019/2020)
  • Federico Rodari (2019/2020)
  • Javier Sánchez Bachiller (2019/2021)
  • Gonzalo Ares de Parga Regalado (2020/2021)
  • Gian Pietro Bellocca (2020/2021)
  • Luca Conti (2020)
  • Karim El-Ouaghlidi (2020/2021)
  • Alberto Lentini (2020/2021)
  • Pascal Seiler (2020/2021)
  • Ivan Borna Brcina (2021/2022)
  • Camila Comunello (2021/2022)
  • Lorenz Eichberger (2021/2022)
  • Marta Oliva Riera (2021/2022)
  • Cesare Dela Pierre (2022)
  • Stavros Konstantios (2022)
Research in progress

Nowcasting food inflation with a massive amount of online prices

Paweł Macias, Damian Stelmasiak, Karol Szafranek (all Narodowy Bank Polski)

The consensus in the literature on providing accurate inflation forecasts underlines the importance of precise nowcasts. In this paper, we focus on this issue by employing a unique, extensive dataset of online food and non-alcoholic beverages prices gathered automatically from the webpages of major online retailers in Poland since 2009. We perform a real-time nowcasting experiment by using a highly disaggregated framework among popular, simple univariate approaches. We demonstrate that pure estimates of online price changes are already effective in nowcasting food inflation, but accounting for online food prices in a simple, recursively optimized model delivers further gains in the nowcast accuracy. Our framework outperforms various other approaches, including judgmental methods, traditional benchmarks, and model combinations. After the outbreak of the COVID-19 pandemic, its nowcasting quality has improved compared to other approaches and remained comparable with judgmental nowcasts. We also show that nowcast accuracy increases with the volume of online data, but their quality and relevance are essential for providing accurate in-sample fit and out-of-sample nowcasts. We conclude that online prices can markedly aid the decision-making process at central banks.

“Online food prices and availability during exceptional events”

Damian Stelmasiak, Karol Szafranek, Paweł Macias, Aneta Błażejowska (all Narodowy Bank Polski)

We quantify online food inflation responses to supply changes during exceptional times using a unique, self-developed dataset and dynamic panel models. Even major declines in product availability throughout the first Covid-19 wave caused rather muted inflation response, while during subsequent waves this link disappeared. We infer also that transitory and far smaller food supply shortages following the Russian invasion of Ukraine were not inflationary. This evidence suggests that retailers fear consumer anger during unorthodox times.

“Inflation heterogeneity across Austrian households. Evidence from household scanner data”

Teresa Messner and Fabio Rumler (both Oesterreichische Nationalbank)

It has been widely documented that, depending on their consumption, households experience different inflation rates which are concealed in aggregate price indices such as the CPI. Using micro price data from a household scanner data panel for Austria spanning from 2008 to 2018, we analyse price dynamics faced by households and try to explain some of the causes for inflation differences across households. By identifying not only the products consumed but also the specific prices paid by the households we are able to go beyond what is done in most of the previous literature on inflation heterogeneity. We find a considerable and persistent degree of heterogeneity in household inflation rates with an interquartile range of about 6 percentage points which is way more than what has been found in previous studies for Austria. Considering average prices at the product level instead, the degree of inflation heterogeneity drops by two thirds which suggests that the prices paid by households are an important source of inflation heterogeneity besides different consumption baskets. We also find that inflation tends to be higher for households with older household members and those living in the West of Austria, while shopping intensity and higher household income appear to have a dampening impact on household inflation rates.

“Cross-country price and inflation dispersion: Retail network or national border?”

Teresa Messner, Fabio Rumler (both Oesterreichische Nationalbank) and Georg Strasser (European Central Bank)

(Why) do prices and inflation rates differ within the euro area? We study the relevance of a national border for grocery prices in the otherwise homogenous and highly integrated border region of Austria and Germany. Using transaction data on prices and quantities from a large household panel we compare the prices of identical products within a narrow band along the Austrian-German border. We find large assortment and price differences between these two regions. Even within multinational retail chains the prices of identical products on the two sides of the border differ on average by about 23%. However, these price differences are not very persistent over time indicating little arbitrage gain by undifferentiated cross-border shopping. Ensuing product-level inflation rates differ only for half of the chains between the two countries. The results highlight the importance of the history-dependent evolution of distribution networks and of the structure of sales organisation as a driver of price and inflation heterogeneity.

“Price setting of groceries in times of high inflation: what to learn from webscraped data?”

Christian Beer, Robert Ferstl, Bernhard Graf, Fabio Rumler (all Oesterreichische Nationalbank)

In this paper we complement the existing literature on price rigidity using webscraped data from online shops in Austria for the period from January 2021 to date. We calculate the major price adjustment statistics (frequency and size of price changes) with thousands of online prices observed at daily frequency. To compare the period before the inflation surge with the ensuing high inflation period, we split the sample into two parts: January to August 2021 and September 2021 to August 2022. As comprehensive and reliable daily price data are available in our dataset only for online supermarkets, we limit our analysis mainly to grocery items. The resulting statistics on the frequency and size of price changes are measured at daily basis and have to be interpreted as such. Our preliminary findings suggest that in the period from September 2021 on about 2.6% of all food prices have changed on a given day when sales are included and 0.5% when sales are excluded. Across all product groups, the frequency of price changes is considerably higher in the high- inflation period (Sept. 2021 to August 2022) than before. In contrast, the average size of price changes has remained broadly stable over time such that we conclude that currently high inflation is driven by an increase in the frequency of price changes rather than its size.

“Nowcasting Austrian inflation rates using webscraped data”

Christian Beer, Robert Ferstl, Bernhard Graf (all Oesterreichische Nationalbank)

We analyze to what extent nowcasts of the inflation rate on various COICOP levels can be improved by using web scraped data. For this purpose, we compare nowcasts using webscraped data with nowcasts from various benchmark time series models. A key aspect using webscraped data for nowcasting is product selection and classification.

How do gasoline prices respond to a cost Shock?

Erwan Gautier, Magali Marx and Paul Vertier (all Banque de France)

Using several millions of daily prices collected over the period 2007-2018 in France, we investigate how gasoline retail prices respond to a common shock on marginal cost (i.e. the wholesale gasoline price quoted on the Rotterdam market). We find that the pass-through is complete: a 1% change in Rotterdam price translates to a change in retail price of 0.8%, in line with the share of the wholesale gasoline in total costs. The adjustment is gradual: the full pass through takes about 3 weeks. In a broad class of sticky price models, the ratio of the kurtosis over the frequency of price changes is shown to be a sufficient statistic for the cumulative impulse response of prices (CIRP) to a nominal shock. We provide evidence that the sufficient statistic prediction holds when we look at how gasoline prices respond to a common cost shock. Relating, at the gas station level, the CIRP to moments of the price change distribution, we find that the CIRP correlates with the ratio of kurtosis over frequency, but also with both frequency and kurtosis taken separately. The sign and the magnitude of the correlations are fully in line with theoretical predictions. We also show that other moments do not correlate with CIRP as robustly as the frequency and the kurtosis.

Empirical investigation of a sufficient statistic for monetary shocks"

Fernando Alvarez (University of Chicago and NBER), Andrea Ferrara (Northwestern University), Erwan Gautier (Banque de France) , Hervé Le Bihan (Banque de France), Francesco Lippi (Luiss University and EIEF)

In a broad class of sticky price models the non-neutrality of nominal shocks is encoded by a simple sufficient statistic: the ratio of the kurtosis of the size-distribution of price changes over the frequency of price changes. We test this theoretical prediction using data for a large number of firms representative of the French economy. We use the micro data to measure the cross sectional moments, including kurtosis and frequency, for about 120 PPI industries and 220 CPI categories. We use a Factor Augmented VAR to measure the sectoral responses to a monetary shock, as summarized by the cumulative impulse response of sectoral prices (CIRP), under three alternative identification schemes. The estimated CIRP correlates with the kurtosis and the frequency consistently with the prediction of the theory - i.e. they enter the relationship as a ratio. The analysis also shows that other moments not suggested by the theory, such as the mean, standard deviation and skewness of the size-distribution of price changes, are not correlated with the CIRP. Several robustness checks are explored.

The case for a positive euro area inflation target: Evidence from France, Germany and Italy

Klaus Adam (University of Mannheim, CEPR, Cesifo), Erwan Gautier (Banque de France), Sergio Santoro (European Central Bank), Henning Weber (Deutsche Bundesbank)

Using micro price data underlying the Harmonized Index of Consumer Prices in France, Germany and Italy, we estimate relative price trends over the product life cycle and show that minimizing price and mark-up distortions in the presence of these trends requires targeting a significantly positive inflation target. Relative price trends shift the optimal inflation target up from a level of zero percent, as suggested by the standard sticky price literature, to a range of 1.1%- 2.1% in France, 1.2%-2.0% in Germany, 0.8%-1.0% in Italy, and 1.1-1.7% in the Euro Area (three country average). Differences across countries emerge due to systematic differences in the strength of relative price trends. Other considerations not taken into account in the present paper may push up the optimal inflation targets further. The welfare costs associated with targeting zero inflation turn out to be substantial and range between 2.1% and 4.5% of consumption in present-value terms.

Endogenous frequencies and large shocks: price setting in Greece during the crisis

Huw Dixon (Cardiff University), Theodora Kosma and Pavlos Petroulas (both Bank of Greece)

We utilize a unique micro price data set for Greece that underpins the Greek CPI. It spans almost two decades, during which Greece suffered a large economic shock. We find that during this time there were significant changes in the pricing behaviour of Greek firms. We also find macro-economic developments such as annual inflation and output growth are important factors in determining the frequency and size of price changes. Utilizing the results of the estimations, we set up a small simulation where by the inflation response reacts endogenously via an asymmetric impact on the frequency of price increases and the frequency of price decreases. The results of the simulations capture the Greek inflation developments well. Moreover, they also capture developments in the frequency of price increases and decreases seen in other economies and over different time-periods.

The inflationary effects of quantitative easing

Mathias Klein and Xin Zhang (both Sveriges Riksbank)

We provide new evidence on the inflationary effects of Quantitative Easing (QE) using Swedish administrative data at the bank, firm, and product level. For identification, we rely on bank-firm lending relationships and the heterogeneous participation rates of banks in the government bond purchase program. Our results show that the bond purchase program led to a significant and persistent increase in producer price inflation. Importantly, we find that the degree of financial frictions considerably influences firms' price response. Low leverage firms do not change their prices by a significant amount, whereas high leverage firms raise their prices significantly. This leverage-dependent price response does not prevail for exogenous changes in the repo rate implying that the transmission mechanism of QE differs from the one of conventional interest rate policy. Our estimates suggest that a bond purchases program of 1.3% of GDP induces a similar-sized price increase than an exogenous fall in the repo rate by 25 basis points.

“Price setting in supermarkets on the two sides of the Atlantic”

Péter Karádi (European Central Bank), Juergen Amann (University of Nottingham) and Javier Sánchez Bachiller (European Central Bank)

In a broad class of sticky price models the non-neutrality of nominal shocks is encoded by a simple sufficient statistic: the ratio of the kurtosis of the size-distribution of price changes over the frequency of price changes. We test this theoretical prediction using data for a large number of firms representative of the French economy. We use the micro data to measure the cross sectional moments, including kurtosis and frequency, for about 120 PPI industries and 220 CPI categories. We use a Factor Augmented VAR to measure the sectoral responses to a monetary shock, as summarized by the cumulative impulse response of sectoral prices (CIRP), under three alternative identification schemes. The estimated CIRP correlates with the kurtosis and the frequency consistently with the prediction of the theory - i.e. they enter the relationship as a ratio. The analysis also shows that other moments not suggested by the theory, such as the mean, standard deviation and skewness of the size-distribution of price changes, are not correlated with the CIRP. Several robustness checks are explored.

“Measuring price selection in microdata – it’s not there”

Péter Karádi (European Central Bank), Raphael Schoenle (Brandeis University and FRB Cleveland) and Jesse Wursten (KU Leuven)

We use microdata to estimate the strength of price selection – a key metric for the effect of monetary policy on the real economy. We find that price adjustment pressure at the product level does not significantly influence the probability of price adjustment in response to identified monetary and credit shocks, suggesting price selection is absent. This happens even though prices do respond significantly both to aggregate shocks and product-level adjustment pressure directly. Our results are broadly consistent with second-generation state-dependent pricing models and sizable effects of monetary policy on the real economy.

New facts on consumer price rigidity in the euro area

Erwan Gautier (Banque de France), Cristina Conflitti (Banca d’Italia), Riemer P. Faber (Nationale Bank van België/Banque Nationale de Belgique), Brian Fabo (National Bank of Slovakia), Ludmila Fadejeva (Latvijas Banka), Valentin Jouvanceau (Lietuvos Bankas), Jan-Oliver Menz (Deutsche Bundesbank), Teresa Messner (Oesterreichische Nationalbank), Pavlos Petroulas (Bank of Greece), Pau Roldan-Blanco (Banco de España), Fabio Rumler (Oesterreichische Nationalbank), Sergio Santoro (ECB), Elisabeth Wieland(Deutsche Bundesbank), Hélène Zimmer (Nationale Bank van België/Banque Nationale de Belgique)

Using CPI micro data for 11 euro area countries covering about 60% of the euro area consumption basket over the period 2010-2019, we document new findings on consumer price rigidity in the euro area: (i) each month on average 12.3% of prices change, which compares with 19.3% in the United States; when we exclude price changes due to sales, however, the proportion of prices adjusted each month is 8.5% in the euro area versus 10% in the United States; (ii) differences in price rigidity are rather limited across euro area countries but much larger across sectors; (iii) the median price increase (resp. decrease) is 9.6% (13%) when including sales and 6.7% (8.7%) when excluding sales; cross-country heterogeneity is more pronounced for the size than for the frequency of price changes; (iv) the distribution of price changes is highly dispersed: 14% of price changes in absolute values are lower than 2% whereas 10% are above 20%; (v) the overall frequency of price changes does not change much with inflation and does not react much to aggregate shocks; (vi) changes in inflation are mostly driven by movements in the overall size; when decomposing the overall size, changes in the share of price increases among all changes matter more than movements in the size of price increases or the size of price decreases. These findings are consistent with the predictions of a menu cost model in a low inflation environment where idiosyncratic shocks are a more relevant driver of price adjustment than aggregate shocks. 

“Nowcasting inflation with daily price data”

Jan-Oliver Menz and Elisabeth Wieland (both Deutsche Bundesbank)

For central banks, nowcasting plays a crucial role in tracking inflation dynamics in real time, particularly in times of high economic uncertainty such as the recent coronavirus (COVID-19) pandemic. In light of the rising market share of e-commerce, a whole universe of digital information is provided by (web-scraped) online prices, which can be tracked at a daily (or even higher) frequency, in contrast to the monthly frequency of the traditional consumer price indices compiled by national statistical institutes. The question is whether this daily information can help in nowcasting the inflation rate. This paper applies correlation analysis and a MIDAS regression approach to assess the forecasting properties of daily online price data for Germany and the euro area.

“Forecasting inflation with big data: do machine learning techniques help?”

Mario Porqueddu, Chiara Osbat, Gerhard Rünstler and Justus Meyer (all European Central Bank)

We look at the additional advantage that mixing macrodata with very granular high-frequency data brings to forecasting inflation at various horizons.

“Price-setting behaviour in Germany: What has happened since the introduction of the euro?”

Jan-Oliver Menz and Elisabeth Wieland (both Deutsche Bundesbank)

In 2005 the Deutsche Bundesbank presented first results on price flexibility and inflation persistence in Germany based on CPI micro price data. Using a novel database covering more than 80% of the CPI and almost the entire period since the introduction of the euro, we take a new look at price setting in Germany. The depth of the dataset allows us to investigate structural changes in price setting over time, looking at pricing strategies across different types of goods as well as different outlet types, such as supermarkets, discounters and online shops.

“Online vs. offline prices: evidence from German CPI microdata”

Ana-Maria Dumitru and Elisabeth Wieland (both Deutsche Bundesbank)

Using monthly German micro price data, we analyse differences in the price setting of online and offline retailers by exploiting information from the official CPI weighting scheme by outlet type. Data are available for the State of Hessen for the period 2015-2019 and cover roughly 500,000 price quotes per year, mostly for processed food items and industrial goods. Prices from online stores make up about one-fifth of the data. We find that food products and recreational services experience more frequent price changes in the offline environment, with shorter average price duration than online products. By contrast, we find shorter price durations for all industrial goods traded online. In addition, offline products and services for the majority of goods show more extreme mean and median price changes than their online counterparts. When we confine the set of offline products to only those that are also traded online, both frequencies of price changes and price durations tend to converge in the two trading environments. Nevertheless, for industrial goods, price rigidity in the offline environment is higher and price changes are somewhat more extreme than in the online environment.

“The intensive and extensive margin of price adjustment to cost shocks: evidence from Danish multiproduct firms”

Luca Dedola (European Central Bank), Mark S. Kristoffersen (Fagbevægelsens Hovedorganisation) and Gabriel Zuellig (Danmarks Nationalbank)

This paper studies price adjustment in a novel monthly dataset of individual product prices of multiproduct firms, merged with firm-level balance sheet and cost data. According to theoretical literature on price setting, the interdependence between the decision on whether or not to change prices (the extensive margin) and the actual amount by which prices change (the intensive margin) contributes to determining the real effects of monetary policy. We estimate the adjustment of prices to shocks to firm-level import costs and energy costs (due to oil supply shocks) along extensive and intensive margins, modelling them jointly to address endogenous selection bias due to state-dependent pricing.

“Pass through of corporate taxes to individual firm prices in Germany”

Luca Dedola (European Central Bank), Chiara Osbat (European Central Bank) and Timo Reinelt (European Central Bank and University of Mannheim)

We estimate the response of prices to changes in corporate tax rates (pass-through). For this, we use variations in corporate tax rates across time and location. In Germany, corporate tax rates are set at the municipal level once a year. Each year between 2012 and 2017 about 13% of all municipalities changed their local tax rate. We leverage this fine-grained local variation in tax rates to provide estimates of pass-through that control for macroeconomic conditions. Our study is similar to Baker, Sun and Yanellis (2018), who looked at the variation in tax rates across US states. We find that the pass-through of corporate taxes to prices is about 50%. However, there is significant heterogeneity: in markets with high market concentration, pass-through tends to be 100%, while it is not significantly different from zero in less concentrated markets.

“Price dispersion in Germany and implications for the pass-through of shocks”

Lukas Henkel, Chiara Osbat and Chiara Perillo (all European Central Bank)

We look at price dispersion across German supermarkets at the individual product level and relate it to goods and local characteristics. We then analyse whether the pass-through of idiosyncratic and common shocks is affected by the uniformity or non-uniformity of prices.

“Product quality, measured inflation and monetary policy”

Alexander Rodnyansky (University of Cambridge), Alejandro Van der Ghote (European Central Bank) and Daniel Wales (University of Cambridge)

We propose a theoretical model with endogenous quality adjustment which nests the canonical New Keynesian model. In this framework, endogenous quality choice implies a smaller slope than the traditional New Keynesian Phillips curve and amplifies the economy’s response to productivity shocks. In a positive sense, this leads to less reactionary monetary policy where model misspecification matters more than data with poor quality adjustments. In a normative sense, optimal monetary policy is unchanged, as these extensions to the standard New Keynesian model preserve divine coincidence.

“Control costs, rational inattention, and retail price dynamics”

James Costain (Banco de España) and Anton Nakov (European Central Bank)

This paper models the adjustment of regular and sales prices in retail microdata under the assumption that precise decision-making is costly. We build on two related approaches: “control costs” and “rational inattention”. We adapt and extend the equivalence results of Steiner et al. (2017) to the retail pricing context in order to build a tractable control cost model that approximates the solution of the rational inattention model. We calibrate the approximate rational inattention model to microdata from supermarkets to study retail price dynamics. Using our simulated model to diagnose the roles of stochastic price discrimination versus the inherent discreteness of the rational inattention solution as drivers of retail prices, we find that the former helps explain the “jumpiness” of retail sales, while the latter helps explain the “stickiness” of nominal price points. Our model also suggests that limited memory, in addition to limited information processing capability, may play a role in nominal rigidity.

“Price dispersion in Europe”

Nicoletta Berardi (Banque de France) and Georg Strasser (European Central Bank)

This paper examines the nature, evolution and sources of price dispersion within European countries. We compare price dispersion across a large set of European countries and explain their differences.

“Inflation heterogeneity in Europe”

Regina Kiss (University of Vienna) and Georg Strasser (European Central Bank)

This paper studies the nature, evolution and sources of inflation differences between households in Europe. We compare this inflation heterogeneity with recent findings for the United States (Kaplan and Schulhofer-Wohl, 2017).

  1. 2019 - Session on price setting at the 2019 annual Central Bank Research Association (CEBRA) conference
  2. 2020 - CEBRA session on price setting at the 2020 meeting of the American Economic Association
  3. 2020 - Poster session at the 2020 annual CEBRA conference
  4. 2021 October - Federal Reserve Bank of Cleveland/ECB Inflation conference