Martin Bruns

Personal Details

First Name:	Martin
Middle Name:
Last Name:	Bruns
Suffix:
RePEc Short-ID:	pbr755
	[This author has chosen not to make the email address public]
	https://sites.google.com/view/martin-bruns/home
Terminal Degree:	Fachbereich Wirtschaftswissenschaft; Freie Universität Berlin (from RePEc Genealogy)

Affiliation

School of Economics
University of East Anglia

Norwich, United Kingdom
http://www.uea.ac.uk/eco/
RePEc:edi:esueauk (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. Martin Bruns & Helmut Lütkepohl, 2023. "Have the Effects of Shocks to Oil Price Expectations Changed?: Evidence from Heteroskedastic Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 2036, DIW Berlin, German Institute for Economic Research.
   • Martin Bruns & Helmut Luetkepohl, 2023. "Have the Effects of Shocks to Oil Price Expectations Changed? Evidence from Heteroskedastic Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2023-03, School of Economics, University of East Anglia, Norwich, UK..

   Cited by:

   1. Oliver Holtemöller & Alexander Kriwoluzky & Boreum Kwak, 2024. "Is There an Information Channel of Monetary Policy?," Discussion Papers of DIW Berlin 2084, DIW Berlin, German Institute for Economic Research.
      • Holtemöller, Oliver & Kriwoluzky, Alexander & Kwak, Boreum, 2024. "Is there an information channel of monetary policy?," IWH Discussion Papers 17/2020, Halle Institute for Economic Research (IWH), revised 2024.
   2. Kilian, Lutz, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," CEPR Discussion Papers 18348, C.E.P.R. Discussion Papers.
      • Lutz Kilian, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," Working Papers 2310, Federal Reserve Bank of Dallas.

2. Martin Bruns & Helmut Lütkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," Discussion Papers of DIW Berlin 2005, DIW Berlin, German Institute for Economic Research.
   • Martin Bruns & Helmut Luetkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," University of East Anglia School of Economics Working Paper Series 2022-02, School of Economics, University of East Anglia, Norwich, UK..

   Cited by:

   1. Martin Bruns & Helmut Lütkepohl, 2023. "Have the Effects of Shocks to Oil Price Expectations Changed?: Evidence from Heteroskedastic Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 2036, DIW Berlin, German Institute for Economic Research.
      • Martin Bruns & Helmut Luetkepohl, 2023. "Have the Effects of Shocks to Oil Price Expectations Changed? Evidence from Heteroskedastic Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2023-03, School of Economics, University of East Anglia, Norwich, UK..

3. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..

   Cited by:

   1. Braun, Robin & Brüggemann, Ralf, 2022. "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers 961, Bank of England.
      • Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.
   2. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Discussion Paper 2019-030, Tilburg University, Center for Economic Research.
      • Rothfelder, Mario & Boldea, Otilia, 2016. "Testing for a Threshold in Models with Endogenous Regressors," Discussion Paper 2016-029, Tilburg University, Center for Economic Research.
      • Mario P. Rothfelder & Otilia Boldea, 2022. "Testing for a Threshold in Models with Endogenous Regressors," Papers 2207.10076, arXiv.org.
      • Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 94a7c921-f27f-43a0-82f4-4, Tilburg University, School of Economics and Management.
      • Rothfelder, Mario & Boldea, Otilia, 2016. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 40ca581a-e228-49ae-911f-e, Tilburg University, School of Economics and Management.
   3. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Bank of Finland Research Discussion Papers 16/2019, Bank of Finland.
      • Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2021. "State dependence of monetary policy across business, credit and interest rate cycles," European Economic Review, Elsevier, vol. 140(C).
      • Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Working Paper 2019/21, Norges Bank.
   4. Mr. Anil Ari & Mr. Carlos Mulas-Granados & Mr. Victor Mylonas & Mr. Lev Ratnovski & Wei Zhao, 2023. "One Hundred Inflation Shocks: Seven Stylized Facts," IMF Working Papers 2023/190, International Monetary Fund.

4. Martin Bruns & Helmut Lütkepohl, 2021. "Comparison of Local Projection Estimators for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1949, DIW Berlin, German Institute for Economic Research.
   • Bruns, Martin & Lütkepohl, Helmut, 2022. "Comparison of local projection estimators for proxy vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
   • Martin Bruns & Helmut Luetkepohl, 2021. "Comparison of Local Projection Estimators for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2021-04, School of Economics, University of East Anglia, Norwich, UK..

   Cited by:

   1. Endong Wang, 2024. "Structural counterfactual analysis in macroeconomics: theory and inference," Papers 2409.09577, arXiv.org.
   2. Martin Bruns & Helmut Lutkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis," University of East Anglia School of Economics Working Paper Series 2024-05, School of Economics, University of East Anglia, Norwich, UK..
      • Martin Bruns & Helmut Lütkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Procy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 2095, DIW Berlin, German Institute for Economic Research.
   3. Martin Bruns & Helmut Luetkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2020-06, School of Economics, University of East Anglia, Norwich, UK..
      • Martin Bruns & Helmut Lütkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1913, DIW Berlin, German Institute for Economic Research.
      • Martin Bruns & Helmut Lütkepohl, 2023. "An Alternative Bootstrap for Proxy Vector Autoregressions," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1857-1882, December.
   4. Rabia Rafique & Asad Nisar & Syed Sadaqat Ali Shah, 2024. "Testing the effects of fiscal policy shocks on output growth in recession and expansion: empirical evidence from developing countries," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-26, June.

5. Martin Bruns & Helmut Lütkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1913, DIW Berlin, German Institute for Economic Research.
   • Martin Bruns & Helmut Lütkepohl, 2023. "An Alternative Bootstrap for Proxy Vector Autoregressions," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1857-1882, December.
   • Martin Bruns & Helmut Luetkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2020-06, School of Economics, University of East Anglia, Norwich, UK..

   Cited by:

   1. Martin Bruns & Helmut Lutkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis," University of East Anglia School of Economics Working Paper Series 2024-05, School of Economics, University of East Anglia, Norwich, UK..
      • Martin Bruns & Helmut Lütkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Procy Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 2095, DIW Berlin, German Institute for Economic Research.
   2. Martin Bruns & Helmut Luetkepohl, 2021. "Comparison of Local Projection Estimators for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2021-04, School of Economics, University of East Anglia, Norwich, UK..
      • Martin Bruns & Helmut Lütkepohl, 2021. "Comparison of Local Projection Estimators for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1949, DIW Berlin, German Institute for Economic Research.
      • Bruns, Martin & Lütkepohl, Helmut, 2022. "Comparison of local projection estimators for proxy vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
   3. Martin Bruns & Helmut Luetkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," University of East Anglia School of Economics Working Paper Series 2022-02, School of Economics, University of East Anglia, Norwich, UK..
      • Martin Bruns & Helmut Lütkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," Discussion Papers of DIW Berlin 2005, DIW Berlin, German Institute for Economic Research.

6. Martin Bruns & Michele Piffer, 2019. "Bayesian Structural VAR Models: A New Approach for Prior Beliefs on Impulse Responses," Discussion Papers of DIW Berlin 1796, DIW Berlin, German Institute for Economic Research.
   • 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.

   Cited by:

   1. Kilian, Lutz & Zhou, Xiaoqing, 2020. "The Econometrics of Oil Market VAR Models," CEPR Discussion Papers 14460, C.E.P.R. Discussion Papers.
      • Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," Working Papers 2006, Federal Reserve Bank of Dallas.
      • Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
      • Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," CESifo Working Paper Series 8153, CESifo.
   2. Braun, Robin & Brüggemann, Ralf, 2022. "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers 961, Bank of England.
      • Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.
   3. Kilian, Lutz, 2021. "Facts and fiction in oil market modeling," CFS Working Paper Series 661, Center for Financial Studies (CFS).
      • Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," Working Papers 1907, Federal Reserve Bank of Dallas, revised 21 Dec 2020.
      • Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
      • Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series 7902, CESifo.
      • Kilian, Lutz, 2019. "Facts and Fiction in Oil Market Modeling," CEPR Discussion Papers 14047, C.E.P.R. Discussion Papers.
   4. Robin Braun & Ralf Brüggemann, 2020. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2020-01, Department of Economics, University of Konstanz.
   5. Dimitris Korobilis, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," Papers 2206.06892, arXiv.org.
      • Korobilis, Dimitris, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," European Economic Review, Elsevier, vol. 148(C).

7. Martin Bruns & Mr. Tigran Poghosyan, 2016. "Leading Indicators of Fiscal Distress: Evidence from the Extreme Bound Analysis," IMF Working Papers 2016/028, International Monetary Fund.
   • Martin Bruns & Tigran Poghosyan, 2018. "Leading indicators of fiscal distress: evidence from extreme bounds analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1454-1478, March.

   Cited by:

   1. Blaise Gnimassoun & Isabelle Do Santos, 2021. "Robust structural determinants of public deficits in developing countries," Post-Print hal-03165519, HAL.
      • Blaise Gnimassoun & Isabelle Do Santos, 2020. "Robust structural determinants of public deficits in developing countries," Working Papers of BETA 2020-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
      • Blaise Gnimassoun & Isabelle Do Santos, 2021. "Robust structural determinants of public deficits in developing countries," Applied Economics, Taylor & Francis Journals, vol. 53(9), pages 1052-1076, February.
   2. Mrs. Kerstin Gerling & Mr. Paulo A Medas & Mr. Tigran Poghosyan & Juan Farah-Yacoub & Yizhi Xu, 2017. "Fiscal Crises," IMF Working Papers 2017/086, International Monetary Fund.
      • Medas, Paulo & Poghosyan, Tigran & Xu, Yizhi & Farah-Yacoub, Juan & Gerling, Kerstin, 2018. "Fiscal crises," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 191-207.
   3. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
      • Ms. Marialuz Moreno Badia & Mr. Paulo A Medas & Pranav Gupta & Yuan Xiang, 2020. "Debt Is Not Free," IMF Working Papers 2020/001, International Monetary Fund.
   4. Jarmulska, Barbara, 2020. "Random forest versus logit models: which offers better early warning of fiscal stress?," Working Paper Series 2408, European Central Bank.
      • Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
   5. Mr. Jiro Honda & Rene Tapsoba & Ismael Issifou, 2018. "When Do We Repair the Roof? Insights from Responses to Fiscal Crisis Early Warning Signals," IMF Working Papers 2018/077, International Monetary Fund.
      • Honda, Jiro & Tapsoba, René & Issifou, Ismael, 2022. "When do we repair the roof? Insights from responses to fiscal crisis early warning signals," International Economics, Elsevier, vol. 172(C), pages 349-367.
   6. Stéphanie Pamies Sumner & Katia Berti, 2017. "A Complementary Tool to Monitor Fiscal Stress in European Economies," European Economy - Discussion Papers 049, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
   7. Liu, Ailan & Wang, Zhixuan & Wang, Ping, 2024. "Official or unofficial? extreme bounds analysis on the determinants of sovereign default," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
   8. Filip Bašić & Tomislav Globan, 2023. "Early bird catches the worm: finding the most effective early warning indicators of recessions," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(1), pages 2120040-212, December.
   9. Rho, Caterina & Saenz, Manrique, 2021. "Financial stress and the probability of sovereign default," Journal of International Money and Finance, Elsevier, vol. 110(C).
   10. Tjeerd M. Boonman & Andrea E. Sanchez Urbina, 2020. "Extreme Bounds Analysis in Early Warning Systems for Currency Crises," Open Economies Review, Springer, vol. 31(2), pages 431-470, April.
   11. Ms. Svetlana Cerovic & Mrs. Kerstin Gerling & Andrew Hodge & Mr. Paulo A Medas, 2018. "Predicting Fiscal Crises," IMF Working Papers 2018/181, International Monetary Fund.

Articles

1. Martin Bruns & Helmut Lütkepohl, 2023. "An Alternative Bootstrap for Proxy Vector Autoregressions," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1857-1882, December.
   • Martin Bruns & Helmut Lütkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1913, DIW Berlin, German Institute for Economic Research.
   • Martin Bruns & Helmut Luetkepohl, 2020. "An Alternative Bootstrap for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2020-06, School of Economics, University of East Anglia, Norwich, UK..
   See citations under working paper version above.
2. Bruns, Martin & Lütkepohl, Helmut, 2022. "Comparison of local projection estimators for proxy vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
   • Martin Bruns & Helmut Luetkepohl, 2021. "Comparison of Local Projection Estimators for Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2021-04, School of Economics, University of East Anglia, Norwich, UK..
   • Martin Bruns & Helmut Lütkepohl, 2021. "Comparison of Local Projection Estimators for Proxy Vector Autoregressions," Discussion Papers of DIW Berlin 1949, DIW Berlin, German Institute for Economic Research.
   See citations under working paper version above.
3. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).

   Cited by:

   1. De Nora, Giorgia, 2023. "Factor-Augmented Vector Autoregression with narrative identification. An application to monetary policy in the US," Economics Letters, Elsevier, vol. 229(C).
   2. Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2023. "Monetary Policy and Firm Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 278-296, January.
      • Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2022. "Code and data files for "Monetary Policy and Firm Dynamics"," Computer Codes 21-105, Review of Economic Dynamics.
      • Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2022. "Online Appendix to "Monetary Policy and Firm Dynamics"," Online Appendices 21-105, Review of Economic Dynamics.
   3. Davide Brignone & Alessandro Franconi & Marco Mazzali, 2023. "Robust Impulse Responses using External Instruments: the Role of Information," Papers 2307.06145, arXiv.org.
   4. Kilian, Lutz, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," CEPR Discussion Papers 18348, C.E.P.R. Discussion Papers.
      • Lutz Kilian, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," Working Papers 2310, Federal Reserve Bank of Dallas.
   5. Giorgia De Nora, 2021. "Factor Augmented Vector-Autoregression with narrative identification. An application to monetary policy in the US," Working Papers 934, Queen Mary University of London, School of Economics and Finance.
   6. Sascha A. Keweloh & Mathias Klein & Jan Pruser, 2023. "Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies," Papers 2302.13066, arXiv.org, revised May 2024.

4. Martin Gornig & Claus Michelsen & Martin Bruns, 2019. "Bauwirtschaft weiter im Vorwärtsgang – staatliche Impulse treiben die Preise," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 86(1/2), pages 3-14.

   Cited by:

   1. Mense, Andreas, 2021. "Secondary housing supply," FAU Discussion Papers in Economics 05/2021, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
      • Mense, Andreas, 2023. "Secondary Housing Supply," IAB-Discussion Paper 202306, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
      • Mense, Andreas, 2023. "Secondary housing supply," LSE Research Online Documents on Economics 118645, London School of Economics and Political Science, LSE Library.

5. Martin Gornig & Claus Michelsen & Martin Bruns, 2019. "Construction Industry Momentum Continues – State Stimulus Impacts Prices," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 9(1/2), pages 3-14.

   Cited by:

   1. Carla Krolage, 2020. "The Effect of Real Estate Purchase Subsidies on Property Prices," ifo Working Paper Series 333, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
   2. Carla Krolage, 2023. "The effect of real estate purchase subsidies on property prices," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(1), pages 215-246, February.

6. Martin Bruns & Tigran Poghosyan, 2018. "Leading indicators of fiscal distress: evidence from extreme bounds analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1454-1478, March.
   • Martin Bruns & Mr. Tigran Poghosyan, 2016. "Leading Indicators of Fiscal Distress: Evidence from the Extreme Bound Analysis," IMF Working Papers 2016/028, International Monetary Fund.
   See citations under working paper version above.

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 16 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 (9) 2019-04-01 2019-11-25 2020-11-23 2021-05-31 2021-08-09 2022-06-27 2024-01-15 2024-08-19 2024-08-26. Author is listed
2. NEP-ETS: Econometric Time Series (8) 2019-04-01 2019-11-25 2020-11-23 2021-05-31 2021-08-09 2022-06-27 2023-05-15 2024-08-19. Author is listed
3. NEP-MAC: Macroeconomics (6) 2019-04-01 2019-11-25 2019-12-02 2021-08-09 2022-06-27 2022-06-27. Author is listed
4. NEP-ORE: Operations Research (6) 2019-11-25 2019-12-02 2020-11-23 2020-11-30 2021-05-31 2021-06-14. Author is listed
5. NEP-ENE: Energy Economics (2) 2023-05-15 2023-05-29
6. NEP-CBA: Central Banking (1) 2021-08-09
7. NEP-DES: Economic Design (1) 2023-05-29
8. NEP-ISF: Islamic Finance (1) 2021-08-09
9. NEP-MON: Monetary Economics (1) 2021-08-09

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