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Andrzej Kocięcki
(Andrzej Kociecki)

Personal Details

First Name:Andrzej
Middle Name:
Last Name:Kociecki
Suffix:
RePEc Short-ID:pko417

Affiliation

(50%) Wydział Nauk Ekonomicznych
Uniwersytet Warszawski

Warszawa, Poland
http://www.wne.uw.edu.pl/
RePEc:edi:fesuwpl (more details at EDIRC)

(50%) 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. Tomasz Chmielewski & Andrzej Kocięcki & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Małgorzata Walerych & Ewa Wróbel, 2020. "Monetary policy transmission mechanism in Poland What do we know in 2019?," NBP Working Papers 329, Narodowy Bank Polski, Economic Research Department.
  2. Tomasz Chmielewski & Mariusz Kapuściński & Andrzej Kocięcki & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Ewa Wróbel, 2018. "Monetary transmission mechanism in Poland. What do we know in 2017?," NBP Working Papers 286, Narodowy Bank Polski, Economic Research Department.
  3. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
  4. Mariusz Kapuściński & Andrzej Kocięcki & Halina Kowalczyk & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Anna Sznajderska & Ewa Wróbel, 2016. "Monetary policy transmission mechanism in Poland.What do we know in 2015?," NBP Working Papers 249, Narodowy Bank Polski, Economic Research Department.
  5. Kociecki, Andrzej, 2013. "Further Results on Identification of Structural VAR Models," MPRA Paper 46536, University Library of Munich, Germany.
  6. Kociecki, Andrzej, 2013. "Bayesian Approach and Identification," MPRA Paper 46538, University Library of Munich, Germany.
  7. Kociecki, Andrzej, 2013. "Towards Understanding the Normalization in Structural VAR Models," MPRA Paper 47645, University Library of Munich, Germany.
  8. Andrzej Kociecki & Marcin Kolasa, 2013. "Global identification of linearized DSGE models," NBP Working Papers 170, Narodowy Bank Polski, Economic Research Department.
  9. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
  10. Kociecki, Andrzej & Rubaszek, Michał & Ca' Zorzi, Michele, 2012. "Bayesian analysis of recursive SVAR models with overidentifying restrictions," Working Paper Series 1492, European Central Bank.
  11. Kociecki, Andrzej, 2011. "Some Remarks on Consistency and Strong Inconsistency of Bayesian Inference," MPRA Paper 28731, University Library of Munich, Germany.
  12. Andrzej Kociecki & Marcin Kolasa & Michal Rubaszek, 2011. "Predictivistic Bayesian Forecasting System," NBP Working Papers 87, Narodowy Bank Polski, Economic Research Department.
  13. Kociecki, Andrzej, 2010. "Algebraic theory of identification in parametric models," MPRA Paper 26820, University Library of Munich, Germany.
  14. Andrzej Kociêcki, 2003. "On Priors for Impulse Responses in Bayesian Structural VAR Models," Econometrics 0307006, University Library of Munich, Germany.

Articles

  1. Andrzej Kocięcki & Marcin Kolasa, 2018. "Global identification of linearized DSGE models," Quantitative Economics, Econometric Society, vol. 9(3), pages 1243-1263, November.
  2. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.
  3. Kocięcki, Andrzej & Kolasa, Marcin & Rubaszek, Michał, 2012. "A Bayesian method of combining judgmental and model-based density forecasts," Economic Modelling, Elsevier, vol. 29(4), pages 1349-1355.
  4. Kocięcki, Andrzej, 2010. "A Prior for Impulse Responses in Bayesian Structural VAR Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 115-127.

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. Tomasz Chmielewski & Andrzej Kocięcki & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Małgorzata Walerych & Ewa Wróbel, 2020. "Monetary policy transmission mechanism in Poland What do we know in 2019?," NBP Working Papers 329, Narodowy Bank Polski, Economic Research Department.

    Cited by:

    1. Artem Vdovychenko, 2021. "Empirical estimation of REER trend for Ukraine," IHEID Working Papers 06-2021, Economics Section, The Graduate Institute of International Studies.

  2. Tomasz Chmielewski & Mariusz Kapuściński & Andrzej Kocięcki & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Ewa Wróbel, 2018. "Monetary transmission mechanism in Poland. What do we know in 2017?," NBP Working Papers 286, Narodowy Bank Polski, Economic Research Department.

    Cited by:

    1. Sznajderska, Anna, 2021. "The Impact of Foreign Shocks on the Polish Economy," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2021(1), March.
    2. Tomasz Chmielewski & Tomasz Lyziak & Ewa Stanislawska, 2020. "Risk-Taking Channel and Its Non-Linearities: The Case of an Emerging Market Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 70(1), pages 2-25, February.
    3. Anna Sznajderska, 2021. "The Impact of Foreign Shocks on the Polish Economy," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 33-52.
    4. Ghosh, Taniya & Bhadury, Soumya Suvra, 2018. "Has Money Lost Its Relevance? Resolving the Exchange Rate Disconnect Puzzle," MPRA Paper 90627, University Library of Munich, Germany.
    5. Baranowski, Paweł & Doryń, Wirginia & Łyziak, Tomasz & Stanisławska, Ewa, 2021. "Words and deeds in managing expectations: Empirical evidence from an inflation targeting economy," Economic Modelling, Elsevier, vol. 95(C), pages 49-67.
    6. Anna Sznajderska & Mariusz Kapuściński, 2019. "The spillover effects of Chinese economy on Southeast Asia and Oceania," NBP Working Papers 315, Narodowy Bank Polski, Economic Research Department.

  3. Mariusz Kapuściński & Andrzej Kocięcki & Halina Kowalczyk & Tomasz Łyziak & Jan Przystupa & Ewa Stanisławska & Anna Sznajderska & Ewa Wróbel, 2016. "Monetary policy transmission mechanism in Poland.What do we know in 2015?," NBP Working Papers 249, Narodowy Bank Polski, Economic Research Department.

    Cited by:

    1. Filip Premik & Ewa Stanisławska, 2017. "The impact of inflation expectations on Polish consumers’ spending and saving," NBP Working Papers 255, Narodowy Bank Polski, Economic Research Department.
    2. Kapuściński, Mariusz & Stanisławska, Ewa, 2018. "Measuring bank funding costs in the analysis of interest rate pass-through: Evidence from Poland," Economic Modelling, Elsevier, vol. 70(C), pages 288-300.
    3. Malgorzata Skibinska, 2017. "Transmission of monetary policy and exchange rate shocks under foreign currency lending," Working Papers 2017-027, Warsaw School of Economics, Collegium of Economic Analysis.
    4. Kuznetsov, Aleksei & Berdigulova, Aigul, 2019. "EDB Special report 2019. Exchange rate pass-through effects on inflation in EDB Member Countries," Working Papers 2019-7, Eurasian Development Bank, Chief Economist Group.
    5. Mariusz Kapuściński & Ewa Stanisławska, 2016. "Interest rate pass-through in Poland since the global financial crisis," NBP Working Papers 247, Narodowy Bank Polski, Economic Research Department.
    6. Ulrichs Magdalena, 2018. "Identification of Financial and Macroeconomic Shocks in a Var Model of the Polish Economy. A Stability Analysis," Economics and Business Review, Sciendo, vol. 4(1), pages 29-43, April.
    7. Lucjan T. Orlowski, 2017. "Sensitivity of Interest Rates to Inflation and Exchange Rate in Poland: Implications for Direct Inflation Targeting," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 59(4), pages 545-560, December.
    8. Aleksandra Halka & Karol Szafranek, 2017. "Determinants of low inflation in emerging, small open economy. Comparison of aggregated and disaggregated approaches," EcoMod2017 10560, EcoMod.

  4. Kociecki, Andrzej, 2013. "Bayesian Approach and Identification," MPRA Paper 46538, University Library of Munich, Germany.

    Cited by:

    1. Michele Piffer, 2016. "Assessing Identifying Restrictions in SVAR Models," Discussion Papers of DIW Berlin 1563, DIW Berlin, German Institute for Economic Research.

  5. Andrzej Kociecki & Marcin Kolasa, 2013. "Global identification of linearized DSGE models," NBP Working Papers 170, Narodowy Bank Polski, Economic Research Department.

    Cited by:

    1. Morris, Stephen D., 2020. "Is the Taylor principle still valid when rates are low?," Journal of Macroeconomics, Elsevier, vol. 64(C).
    2. Stephen Morris, 2014. "The Statistical Implications of Common Identifying Restrictions for DSGE Models," 2014 Meeting Papers 738, Society for Economic Dynamics.
    3. Peter A. Zadrozny, 2016. "Extended Yule-Walker Identification of Varma Models with Single- or Mixed-Frequency Data," CESifo Working Paper Series 5884, CESifo.
    4. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    5. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    6. Zhongjun Qu, 2018. "A Composite Likelihood Framework for Analyzing Singular DSGE Models," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 916-932, December.
    7. Majid M. Al-Sadoon, 2020. "Regularized Solutions to Linear Rational Expectations Models," Papers 2009.05875, arXiv.org, revised Oct 2020.
    8. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.
    9. Sergey Ivashchenko & Willi Mutschler, 2019. "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models," CQE Working Papers 8319, Center for Quantitative Economics (CQE), University of Muenster.
    10. Majid M. Al-Sadoon, 2020. "The Spectral Approach to Linear Rational Expectations Models," Papers 2007.13804, arXiv.org, revised Feb 2021.
    11. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  6. Kociecki, Andrzej & Rubaszek, Michał & Ca' Zorzi, Michele, 2012. "Bayesian analysis of recursive SVAR models with overidentifying restrictions," Working Paper Series 1492, European Central Bank.

    Cited by:

    1. Jiranyakul, Komain, 2016. "Identifying the Effects of Monetary Policy Shock on Output and Prices in Thailand," MPRA Paper 75708, University Library of Munich, Germany.
    2. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    3. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating Overidentified, Nonrecursive Time-Varying Coefficients Structural VARs," Working Papers 637, Barcelona Graduate School of Economics.
    4. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.
    5. Han, Xu, 2018. "Estimation and inference of dynamic structural factor models with over-identifying restrictions," Journal of Econometrics, Elsevier, vol. 202(2), pages 125-147.
    6. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.

  7. Andrzej Kociecki & Marcin Kolasa & Michal Rubaszek, 2011. "Predictivistic Bayesian Forecasting System," NBP Working Papers 87, Narodowy Bank Polski, Economic Research Department.

    Cited by:

    1. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.

Articles

  1. Andrzej Kocięcki & Marcin Kolasa, 2018. "Global identification of linearized DSGE models," Quantitative Economics, Econometric Society, vol. 9(3), pages 1243-1263, November.
    See citations under working paper version above.
  2. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.

    Cited by:

    1. He, Kaijian & Chen, Yanhui & Tso, Geoffrey K.F., 2018. "Forecasting exchange rate using Variational Mode Decomposition and entropy theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 15-25.
    2. Sarthak Behera & Hyeongwoo Kim, 2019. "Forecasting Dollar Real Exchange Rates and the Role of Real Activity Factors," Auburn Economics Working Paper Series auwp2019-04, Department of Economics, Auburn University.
    3. Kharrat, Sabrine & Hammami, Yacine & Fatnassi, Ibrahim, 2020. "On the cross-sectional relation between exchange rates and future fundamentals," Economic Modelling, Elsevier, vol. 89(C), pages 484-501.
    4. Chikashi Tsuji, 2015. "Exchange Rate Effects on Equity Prices: The Recent Case from Japan," Business and Management Research, Business and Management Research, Sciedu Press, vol. 4(4), pages 1-12, December.
    5. Leandro Maciel & Rosangela Ballini, 2021. "Functional Fuzzy Rule-Based Modeling for Interval-Valued Data: An Empirical Application for Exchange Rates Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 743-771, February.

  3. Kocięcki, Andrzej & Kolasa, Marcin & Rubaszek, Michał, 2012. "A Bayesian method of combining judgmental and model-based density forecasts," Economic Modelling, Elsevier, vol. 29(4), pages 1349-1355.

    Cited by:

    1. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    2. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.

  4. Kocięcki, Andrzej, 2010. "A Prior for Impulse Responses in Bayesian Structural VAR Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 115-127.

    Cited by:

    1. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.
    2. Sergio Ocampo & Norberto Rodríguez, 2011. "An Introductory Review of a Structural VAR-X Estimation and Applications," Borradores de Economia 686, Banco de la Republica de Colombia.
    3. Martin Bruns & Michele Piffer, 2018. "Bayesian Structural VAR models: a new approach for prior beliefs on impulse responses," Working Papers 878, Queen Mary University of London, School of Economics and Finance.
    4. Christian Matthes & Felipe Schwartzman, 2019. "What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?," Working Paper 19-9, Federal Reserve Bank of Richmond.

More information

Research fields, statistics, top rankings, if available.

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 13 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-ECM: Econometrics (10) 2003-08-01 2010-11-27 2011-02-19 2011-08-09 2012-12-10 2013-01-07 2013-04-27 2013-04-27 2013-06-24 2017-09-10. Author is listed
  2. NEP-ETS: Econometric Time Series (6) 2003-07-29 2012-12-10 2013-01-07 2013-04-27 2013-06-24 2017-09-10. Author is listed
  3. NEP-MAC: Macroeconomics (3) 2017-01-22 2017-09-10 2020-07-13
  4. NEP-MON: Monetary Economics (3) 2017-01-22 2018-10-15 2020-07-13
  5. NEP-TRA: Transition Economics (3) 2017-01-22 2018-10-15 2020-07-13
  6. NEP-CBA: Central Banking (2) 2017-01-22 2018-10-15
  7. NEP-BIG: Big Data (1) 2020-07-13
  8. NEP-CIS: Confederation of Independent States (1) 2011-02-19

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