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Damian Stelmasiak

Personal Details

First Name:Damian
Middle Name:
Last Name:Stelmasiak
Suffix:
RePEc Short-ID:pst751
[This author has chosen not to make the email address public]

Affiliation

Narodowy Bank Polski

Warszawa, Poland
http://www.nbp.pl/
RePEc:edi:nbpgvpl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Paweł Macias & Damian Stelmasiak & Karol Szafranek & Krzysztof Makarski, 2026. "New evidence on consumer price rigidity in Poland," NBP Working Papers 383, Narodowy Bank Polski.
  2. Damian Stelmasiak & Karol Szafranek & Paweł Macias & Krzysztof Makarski, 2026. "Food price responses to VAT changes: Price rigidity perspective from official and online data," NBP Working Papers 384, Narodowy Bank Polski.
  3. Paweł Macias & Damian Stelmasiak, 2019. "Food inflation nowcasting with web scraped data," NBP Working Papers 302, Narodowy Bank Polski.

Articles

  1. Karol Szafranek & Paweł Macias & Damian Stelmasiak & Aneta Błażejowska, 2025. "Is Big Data a Big Help? Evidence From Nowcasting Food Inflation During Covid‐19 and Wartime," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(8), pages 2346-2363, December.
  2. Damian Stelmasiak & Karol Szafranek & Paweł Macias & Aneta Błażejowska, 2024. "Online food prices and shocks to product availability since Covid-19," Applied Economics Letters, Taylor & Francis Journals, vol. 31(16), pages 1528-1534, September.
  3. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
  4. Damian Stelmasiak & Grzegorz Szafrański, 2016. "Forecasting the Polish Inflation Using Bayesian VAR Models with Seasonality," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 21-42, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Paweł Macias & Damian Stelmasiak, 2019. "Food inflation nowcasting with web scraped data," NBP Working Papers 302, Narodowy Bank Polski.

    Cited by:

    1. Christian Beer & Fabio Rumler & Joel Tölgyes, 2021. "Prices and inflation in Austria during the COVID-19 crisis – an analysis based on online price data," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20-Q1/, pages 65-75.
    2. Ilaria Benedetti & Tiziana Laureti & Luigi Palumbo & Brandon M. Rose, 2022. "Computation of High-Frequency Sub-National Spatial Consumer Price Indexes Using Web Scraping Techniques," Economies, MDPI, vol. 10(4), pages 1-20, April.
    3. Jennifer Peña & Elvira Prades, 2021. "Price setting in Chile: Micro evidence from consumer on-line prices during the social outbreak and Covid-19," Working Papers 2112, Banco de España.
    4. Solórzano Diego, 2023. "Stylized Facts From Prices at Multi-Channel Retailers in Mexico," Working Papers 2023-09, Banco de México.
    5. Mirko Ðukic, Iva Krsmanovic, Miodrag Petkovic & Mirko Ðukic & Iva Krsmanovic & Miodrag Petkovic, 2023. "Nowcasting inflation using prices from the web," Working Papers Bulletin 16, National Bank of Serbia.
    6. J. Peña & E. Prades, 2021. "Price setting in Chile: Micro evidence from consumer on-line prices during the social outbreak and Covid-19," Working Papers Central Bank of Chile 906, Central Bank of Chile.
    7. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.

Articles

  1. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.

    Cited by:

    1. Jonathan Benchimol & Luigi Palumbo, 2024. "Sanctions and Russian online prices," Temi di discussione (Economic working papers) 1468, Bank of Italy, Economic Research and International Relations Area.
    2. Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024. "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series 2930, European Central Bank.
    3. Carlomagno, Guillermo & Eterovic, Nicolás & Hernández-Román, Luis G., 2024. "Disentangling demand and supply inflation shocks from electronic payments data," Economic Modelling, Elsevier, vol. 141(C).
    4. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    5. Dedola, Luca & Ehrmann, Michael & Hoffmann, Peter & Lamo, Ana & Paz-Pardo, Gonzalo & Slacalek, Jiri & Strasser, Georg, 2023. "Digitalisation and the economy," Working Paper Series 2809, European Central Bank.
    6. Zhang, Tao & Tang, Ke & Liu, Taoxiong & Jiang, Tingfeng, 2025. "High frequency online inflation and term structure of interest rates: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 83(C).
    7. Barış Soybilgen & M. Ege Yazgan & Hüseyin Kaya, 2023. "Nowcasting Turkish Food Inflation Using Daily Online Prices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 171-190, September.
    8. Solórzano, Diego, 2024. "Grab a bite? Prices in the food away from home industry during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 435-464.
    9. Muñoz-Villamizar, Andrés & Piatti, Matias & Mejía-Argueta, Christopher & Pirabe, Luis Felipe & Namdar, Jafar & Gomez, Juan Felipe, 2024. "Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    10. Mućk, Jakub & Błażejowska, Aneta & Łapszys, Karolina & Szafranek, Karol, 2025. "On the effect of e-commerce’s spread on inflation," Economics Letters, Elsevier, vol. 254(C).

  2. Damian Stelmasiak & Grzegorz Szafrański, 2016. "Forecasting the Polish Inflation Using Bayesian VAR Models with Seasonality," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 21-42, March.

    Cited by:

    1. Dmytro Krukovets & Olesia Verchenko, 2019. "Short-Run Forecasting of Core Inflation in Ukraine: a Combined ARMA Approach," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 248, pages 11-20.
    2. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    3. Anttonen, Jetro, 2018. "Nowcasting the Unemployment Rate in the EU with Seasonal BVAR and Google Search Data," ETLA Working Papers 62, The Research Institute of the Finnish Economy.
    4. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    5. Justyna Wróblewska & Anna Pajor, 2019. "One-period joint forecasts of Polish inflation, unemployment and interest rate using Bayesian VEC-MSF models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 23-45, March.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MON: Monetary Economics (2) 2026-03-23 2026-03-23
  2. NEP-TRA: Transition Economics (2) 2026-03-23 2026-03-23
  3. NEP-BIG: Big Data (1) 2019-04-08
  4. NEP-CBA: Central Banking (1) 2026-03-23
  5. NEP-CIS: Confederation of Independent States (1) 2026-03-23
  6. NEP-MAC: Macroeconomics (1) 2019-04-08

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