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On the importance of sectoral and regional shocks for price setting

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Cited by:

  1. Shi Yafeng & Ai Chunrong & Yanlong Shi & Ying Tingting & Xu Qunfang, 2023. "Large covariance estimation using a factor model with common and group‐specific factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2217-2248, December.
  2. Utku Özmen, Mustafa & Akçelik, Fatih, 2017. "Asymmetric exchange rate and oil price pass-through in motor fuel market: A microeconometric approach," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 64-75.
  3. Carlomagno, Guillermo, 2014. "The pairwise approach to model a large set of disaggregates with common trends," DES - Working Papers. Statistics and Econometrics. WS ws141309, Universidad Carlos III de Madrid. Departamento de Estadística.
  4. Cristina Conflitti and Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
  5. Firouz Fallahi, 2019. "Persistence and stationarity of sectoral energy consumption in the US: A confidence interval approach," Energy & Environment, , vol. 30(5), pages 882-897, August.
  6. Hector Sala & Pedro Trivín, 2014. "Labour market dynamics in Spanish regions: evaluating asymmetries in troublesome times," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 197-221, August.
  7. Cantelmo, Alessandro & Melina, Giovanni, 2018. "Monetary policy and the relative price of durable goods," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 1-48.
  8. Helena Marques & Gabriel Pino & Juan Dios Tena Horrillo, 2014. "Regional inflation dynamics using space–time models," Empirical Economics, Springer, vol. 47(3), pages 1147-1172, November.
  9. Kaufmann, Daniel & Lein, Sarah M., 2013. "Sticky prices or rational inattention – What can we learn from sectoral price data?," European Economic Review, Elsevier, vol. 64(C), pages 384-394.
  10. Guillermo Carlomagno & Nicolas Eterovic & L. G. Hernández-Román, 2023. "Disentangling Demand and Supply Inflation Shocks from Chilean Electronic Payment Data," Working Papers Central Bank of Chile 986, Central Bank of Chile.
  11. Raphael A. Auer & Andrei A. Levchenko & Philip Sauré, 2019. "International Inflation Spillovers through Input Linkages," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 507-521, July.
  12. Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera & Nam Vu, 2023. "The flood that caused a drought," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 965-981, October.
  13. Förster, Marcel & Jorra, Markus & Tillmann, Peter, 2014. "The dynamics of international capital flows: Results from a dynamic hierarchical factor model," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 101-124.
  14. Choi, In & Lin, Rui & Shin, Yongcheol, 2023. "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 22-44.
  15. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Inference of Grouped Time-Varying Network Vector Autoregression Models," Monash Econometrics and Business Statistics Working Papers 5/23, Monash University, Department of Econometrics and Business Statistics.
  16. Kapetanios, George & Serlenga, Laura & Shin, Yongcheol, 2021. "Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 504-531.
  17. repec:prg:jnlpep:v:preprint:id:640:p:1-18 is not listed on IDEAS
  18. Aleksandra Halka & Grzegorz Szafranski, 2018. "What Common Factors are Driving Inflation in CEE Countries?," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(2), pages 131-148.
  19. Kristina Barauskaite & Anh D. M. Nguyen, 2022. "Intersectoral network‐based channel of aggregate TFP shocks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3897-3910, October.
  20. Poncela, Pilar, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
  21. Elena Deryugina & Natalia Karlova & Alexey Ponomarenko & Anna Tsvetkova, 2019. "The role of regional and sectoral factors in Russian inflation developments," Economic Change and Restructuring, Springer, vol. 52(4), pages 453-474, November.
  22. Pino, Gabriel, 2013. "Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain," DES - Working Papers. Statistics and Econometrics. WS ws130807, Universidad Carlos III de Madrid. Departamento de Estadística.
  23. Firouz Fallahi, 2020. "Persistence and unit root in $$\text {CO}_{2}$$CO2 emissions: evidence from disaggregated global and regional data," Empirical Economics, Springer, vol. 58(5), pages 2155-2179, May.
  24. Wu, Zhang & Chong, Terence Tai-Leung, 2019. "Price rigidity in China: Empirical results at home and abroad," China Economic Review, Elsevier, vol. 55(C), pages 218-235.
  25. Paweł Gajewski, 2017. "Sources of Regional Inflation in Poland," Eastern European Economics, Taylor & Francis Journals, vol. 55(3), pages 261-276, May.
  26. Breitung, Jörg & Eickmeier, Sandra, 2014. "Analyzing business and financial cycles using multi-level factor models," Discussion Papers 11/2014, Deutsche Bundesbank.
  27. Carlomagno, Guillermo, 2016. "Discovering common trends in a large set of disaggregates: statistical procedures and their properties," DES - Working Papers. Statistics and Econometrics. WS ws1519, Universidad Carlos III de Madrid. Departamento de Estadística.
  28. Senra, Eva, 2017. "22 Years of inflation assessment and forecasting experience at the bulletin of EU & US inflation and macroeconomic analysis," DES - Working Papers. Statistics and Econometrics. WS 24678, Universidad Carlos III de Madrid. Departamento de Estadística.
  29. Antoni Espasa & Eva Senra, 2017. "Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis," Econometrics, MDPI, vol. 5(4), pages 1-28, October.
  30. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Estimation of Grouped Time-Varying Network Vector Autoregression Models," Papers 2303.10117, arXiv.org, revised Mar 2024.
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