Piotr Dybka

Personal Details

First Name:	Piotr
Middle Name:
Last Name:	Dybka
Suffix:
RePEc Short-ID:	pdy22
	[This author has chosen not to make the email address public]
Terminal Degree:	(from RePEc Genealogy)

Affiliation

Szkoła Główna Handlowa w Warszawie

Warszawa, Poland
http://www.sgh.waw.pl/
RePEc:edi:sgwawpl (more details at EDIRC)

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. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.

   Cited by:

   1. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.

2. Beata Bierut & Piotr Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," NBP Working Papers 306, Narodowy Bank Polski.
   • Beata K. Bierut & Piot Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," KAE Working Papers 2019-043, Warsaw School of Economics, Collegium of Economic Analysis.

   Cited by:

   1. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
   2. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.

3. Piotr Dybka & Michal Kowalczuk & Bartosz Olesinski & Marek Rozkrut & Andrzej Toroj, 2017. "Currency demandand MIMIC models: towards a structured hybrid model-based estimation of the shadow economy size," KAE Working Papers 2017-030, Warsaw School of Economics, Collegium of Economic Analysis.
   • Piotr Dybka & Michał Kowalczuk & Bartosz Olesiński & Andrzej Torój & Marek Rozkrut, 2019. "Currency demand and MIMIC models: towards a structured hybrid method of measuring the shadow economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 4-40, February.

   Cited by:

   1. Nezhyvenko, O., 2019. "Indirect or Macroeconomic Methods in Measuring the Informal Economy," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(4), pages 201-215, December.
   2. Burgstaller, Lilith & Feld, Lars P. & Pfeil, Katharina, 2022. "Working in the shadow: Survey techniques for measuring and explaining undeclared work," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 661-671.
      • Lilith Burgstaller & Lars P. Feld & Katharina Pfeil, 2022. "Working in the Shadow: Survey Techniques for Measuring and Explaining Undeclared Work," CESifo Working Paper Series 9810, CESifo.
      • Burgstaller, Lilith & Feld, Lars P. & Pfeil, Katharina, 2022. "Working in the shadow: Survey techniques for measuring and explaining undeclared work," Freiburg Discussion Papers on Constitutional Economics 22/7, Walter Eucken Institut e.V..
   3. Mehmet Burak Turgut & Tomasz Tratkiewicz, 2023. "Estimate of the Underground Economy in Poland Based on Household Expenditures and Incomes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 15(1), pages 1-29, March.
   4. Oksana Nezhyvenko, 2018. "Informal Employment in Ukraine and European Union Transition Countries," Erudite Ph.D Dissertations, Erudite, number ph18-03 edited by Philippe Adair, December.
   5. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
   6. Stefan Petranov & Dimitar Zlatinov & Ilia Atanasov, 2022. "The Shadow Economy in Bulgaria During the Period 2006-2019," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 3-18.
   7. Jasna Atanasijević & Marko Danon & Zorana Lužanin & Dušan Kovačević, 2022. "Shadow Economy Estimation Using Cash Demand Approach: The Case of Serbia," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
   8. Maciej Berk{e}sewicz & Dagmara Nikulin, 2019. "Estimation of the size of informal employment based on administrative records with non-ignorable selection mechanism," Papers 1906.10957, arXiv.org.
   9. Lahlou, Kamal & Doghmi, Hicham & Schneider, Friedrich, 2020. "The Size and Development of the Shadow Economy in Morocco," Document de travail 2020-3, Bank Al-Maghrib, Département de la Recherche.
   10. Ibrahim M. Awad & Wael Alazzeh, 2020. "Using currency demand to estimate the Palestine underground economy: An econometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-11, December.
   11. Paulo Mourao, 2020. "Exploring the Likelihood of a Country Being a Tax Haven Using MIMIC Models," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 17-32, June.
   12. Chletsos, Michael & Sintos, Andreas, 2021. "Hide and seek: IMF intervention and the shadow economy," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 292-319.
   13. Teddy Lazebnik & Tzach Fleischer & Amit Yaniv-Rosenfeld, 2023. "Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks," Sustainability, MDPI, vol. 15(14), pages 1-9, July.
   14. K K C Sineth Kannangara & Yanrui Wu, 2023. "Shadow Economy in Sri Lanka: A Review and New Estimates," Economics Discussion / Working Papers 23-04, The University of Western Australia, Department of Economics.
   15. Maciej Berȩsewicz & Dagmara Nikulin, 2021. "Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 667-690, June.
   16. Glenn Abela & Tiziana Gauci & Noel Rapa, 2022. "An Analysis of The Shadow Economy in Malta: A Currency Demand and MIMIC Model Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 12(1), pages 41-50.
       • Tiziana Marie Gauci & Noel Rapa, 2020. "An analysis of the shadow economy in Malta: A Currency Demand and MIMIC model approach," CBM Working Papers WP/02/2020, Central Bank of Malta.
   17. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
   18. Elbahnasawy, Nasr G., 2021. "Can e-government limit the scope of the informal economy?," World Development, Elsevier, vol. 139(C).
   19. Emmanuel Umoru Haruna & Usman Alhassan, 2022. "Does digitalization limit the proliferation of the shadow economy in African countries? An in‐depth panel analysis," African Development Review, African Development Bank, vol. 34(S1), pages 34-62, July.
   20. Elbahnasawy, Nasr G. & Ellis, Michael A., 2022. "Inflation and the Structure of Economic and Political Systems," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 59-74.
   21. Friedrich Schneider, 2021. "Do Different Estimation Methods Lead to Implausible Differences in the Size of the Non-Observed or Shadow Economies? A Preliminary Answer," CESifo Working Paper Series 9434, CESifo.
   22. Vicente Ríos & Antonio Gómez & Pedro Pascual, 2021. "Raising the Accuracy of Shadow Economy Measurements," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 71-125, November.
   23. Friedrich Schneider & Mangirdas Morkunas & Erika Quendler, 2023. "An estimation of the informal economy in the agricultural sector in the EU‐15 from 1996 to 2019," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 406-447, March.
   24. Philippe Adair, 2017. "Non-Observed Economy vs. the Shadow Economy in the EU: The Accuracy of Measurements Methods and Estimates revisited," Post-Print hal-01683929, HAL.
   25. Dagmara Nikulin & Ewa Lechman, 2021. "Shadow Economy in Poland: Results of the Survey," SpringerBriefs in Economics, in: Shadow Economy in Poland, chapter 0, pages 49-65, Springer.
   26. Friedrich Schneider, 2022. "New COVID-related results for estimating the shadow economy in the global economy in 2021 and 2022," International Economics and Economic Policy, Springer, vol. 19(2), pages 299-313, May.
   27. Thomas Poufinas & George Galanos & Charalampos Agiropoulos, 2021. "The Impact of Competitiveness on the Shadow Economy," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(1), pages 29-46, February.
   28. Roberto Dell’Anno, 2023. "Measuring the unobservable: estimating informal economy by a structural equation modeling approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(1), pages 247-277, February.
   29. Arzhenovskiy, Sergey, 2023. "Estimate of shadow economy dynamics in Russia and regions: The inflationary aspect," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 121-140.

Articles

1. Bierut, Beata K. & Dybka, Piotr, 2021. "Increase versus transformation of exports through technological and institutional innovation: Evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 99(C).

   Cited by:

   1. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
   2. Hameeda A. AlMalki & Christopher M. Durugbo, 2023. "Systematic review of institutional innovation literature: towards a multi-level management model," Management Review Quarterly, Springer, vol. 73(2), pages 731-785, June.
   3. Abdullah Altun & Ilker Ibrahim Avsar & Taner Turan & Halit Yanikkaya, 2023. "Does global value chain participation boost high technology exports?," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(5), pages 820-837, July.
   4. Ramona Tiganasu & Gabriela Carmen Pascariu & Dan Lupu, 2022. "Competitiveness, fiscal policy and corruption: evidence from Central and Eastern European countries," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 667-698, September.

2. Piotr Dybka & Michał Kowalczuk & Bartosz Olesiński & Andrzej Torój & Marek Rozkrut, 2019. "Currency demand and MIMIC models: towards a structured hybrid method of measuring the shadow economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 4-40, February.
   • Piotr Dybka & Michal Kowalczuk & Bartosz Olesinski & Marek Rozkrut & Andrzej Toroj, 2017. "Currency demandand MIMIC models: towards a structured hybrid model-based estimation of the shadow economy size," KAE Working Papers 2017-030, Warsaw School of Economics, Collegium of Economic Analysis.
   See citations under working paper version above.
3. Piotr Dybka & Bartosz Olesiński & Piotr Pękała & Andrzej Torój, 2017. "To SVAR or to SVEC? On the transmission of capital buffer shocks to the real economy," Bank i Kredyt, Narodowy Bank Polski, vol. 48(2), pages 119-148.

   Cited by:

   1. Mariusz Kapuściński, 2022. "The short-term effects of changes in capital regulations in Poland," NBP Working Papers 350, Narodowy Bank Polski.
   2. Anna Gomola, 2022. "What simple econometric analysis will tell us about the relationship between macroeconomic variables, stock market indices, and the activity of the banking sector?," Bank i Kredyt, Narodowy Bank Polski, vol. 53(1), pages 1-46.

4. Michał Chojnowski & Piotr Dybka, 2017. "Is Exchange Rate Moody? Forecasting Exchange Rate with Google Trends Data," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 2(1), pages 1-21, June.

   Cited by:

   1. Petrova, Diana & Trunin, Pavel, 2020. "Revealing the mood of economic agents based on search queries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 71-87.
   2. Svatopluk Kapounek & Evžen Kocenda & Zuzana Kucerová, 2021. "Selective Attention in Exchange Rate Forecasting," CESifo Working Paper Series 8901, CESifo.
      • Svatopluk Kapounek & Zuzana Kucerova & Evzen Kocenda, 2020. "Selective Attention in Exchange Rate Forecasting," Working Papers IES 2020/42, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2020.
      • Svatopluk Kapounek & Zuzana Kučerová & Evžen Kočenda, 2022. "Selective Attention in Exchange Rate Forecasting," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(2), pages 210-229, May.
      • Svatopluk Kapounek & Zuzana Kucerova & Evzen Kocenda, 2020. "Selective Attention in Exchange Rate Forecasting," KIER Working Papers 1035, Kyoto University, Institute of Economic Research.
   3. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.

5. Piotr Dybka & Michal Rubaszek, 2017. "What Determines the Current Account: Intratemporal versus Intertemporal Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(1), pages 2-14, March.

   Cited by:

   1. Beata K. Bierut & Piot Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," KAE Working Papers 2019-043, Warsaw School of Economics, Collegium of Economic Analysis.
      • Beata Bierut & Piotr Dybka, 2019. "Institutional determinants of export competitiveness among the EU countries: evidence from Bayesian model averaging," NBP Working Papers 306, Narodowy Bank Polski.
   2. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
   3. Bierut, Beata K. & Dybka, Piotr, 2021. "Increase versus transformation of exports through technological and institutional innovation: Evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 99(C).
   4. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
   5. Dąbrowski, Marek A., 2021. "A novel approach to the estimation of an actively managed component of foreign exchange reserves," Economic Modelling, Elsevier, vol. 96(C), pages 83-95.
   6. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
   7. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 5 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-CSE: Economics of Strategic Management (2) 2019-04-15 2019-06-17. Author is listed
2. NEP-INT: International Trade (2) 2019-04-15 2019-06-17. Author is listed
3. NEP-IUE: Informal and Underground Economics (2) 2017-09-24 2020-04-06. Author is listed
4. NEP-MAC: Macroeconomics (2) 2017-09-24 2020-04-06. Author is listed
5. NEP-ECM: Econometrics (1) 2017-09-24
6. NEP-FOR: Forecasting (1) 2020-08-17
7. NEP-PAY: Payment Systems and Financial Technology (1) 2017-09-24

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