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Nathan M. Palmer

Personal Details

First Name:Nathan
Middle Name:M.
Last Name:Palmer
Suffix:
RePEc Short-ID:ppa1335
[This author has chosen not to make the email address public]

Affiliation

Federal Reserve Board (Board of Governors of the Federal Reserve System)

Washington, District of Columbia (United States)
http://www.federalreserve.gov/
RePEc:edi:frbgvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Thomas R. Cook & Zach Modig & Nathan M. Palmer, 2024. "Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values," Finance and Economics Discussion Series 2024-075, Board of Governors of the Federal Reserve System (U.S.).
  2. Thomas R. Cook & Nathan M. Palmer, 2023. "Understanding Models and Model Bias with Gaussian Processes," Research Working Paper RWP 23-07, Federal Reserve Bank of Kansas City.
  3. Thomas R. Cook & Greg Gupton & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City.
  4. Joe McLaughlin & Nathan Palmer & Adam Minson & Eric Parolin, 2018. "The OFR Financial System Vulnerabilities Monitor," Working Papers 18-01, Office of Financial Research, US Department of the Treasury.
  5. John Geanakoplos & Robert Axtell & Doyne J. Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," Cowles Foundation Discussion Papers 1852, Cowles Foundation for Research in Economics, Yale University.

    repec:fip:fedkrr:96511 is not listed on IDEAS

Articles

  1. John Geanakoplos & Robert Axtell & J. Doyne Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review, American Economic Association, vol. 102(3), pages 53-58, May.

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. Thomas R. Cook & Greg Gupton & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Thomas R. Cook & Nathan M. Palmer, 2023. "Understanding Models and Model Bias with Gaussian Processes," Research Working Paper RWP 23-07, Federal Reserve Bank of Kansas City.

  2. John Geanakoplos & Robert Axtell & Doyne J. Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," Cowles Foundation Discussion Papers 1852, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    4. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    5. Dimitrios Laliotis & Alejandro Buesa & Miha Leber & Javier Población, 2020. "An agent-based model for the assessment of LTV caps," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1721-1748, October.
    6. Erlingsson, Einar Jon & Teglio, Andrea & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Raberto, Marco, 2014. "Housing market bubbles and business cycles in an agent-based credit economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-42.
    7. Molood Ale Ebrahim Dehkordi & Amineh Ghorbani & Giangiacomo Bravo & Mike Farjam & René van Weeren & Anders Forsman & Tine De Moor, 2021. "Long-Term Dynamics of Institutions: Using ABM as a Complementary Tool to Support Theory Development in Historical Studies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(4), pages 1-7.
    8. Nicoletta Batini & Mr. Giovanni Melina & Stefania Villa, 2016. "Fiscal Buffers, Private Debt, and Stagnation: The Good, the Bad and the Ugly," IMF Working Papers 2016/104, International Monetary Fund.
    9. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    10. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    11. Adrian Carro & Marc Hinterschweiger & Arzu Uluc & J Doyne Farmer, 2023. "Heterogeneous effects and spillovers of macroprudential policy in an agent-based model of the UK housing market," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(2), pages 386-432.
    12. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    13. Trond G. Husby & Elco E. Koks, 2017. "Household migration in disaster impact analysis: incorporating behavioural responses to risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 287-305, May.
    14. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    15. Frank McGroarty & Ash Booth & Enrico Gerding & V. L. Raju Chinthalapati, 2019. "High frequency trading strategies, market fragility and price spikes: an agent based model perspective," Annals of Operations Research, Springer, vol. 282(1), pages 217-244, November.
    16. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret, 2015. "Exploring sprawl: Results from an economic agent-based model of land and housing markets," Ecological Economics, Elsevier, vol. 113(C), pages 114-125.
    17. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    18. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    19. Gao, Lin, 2017. "Between Trust and Performance: Exploring Socio-Economic Mechanisms on Directed Weighted Regular Ring with Agent-Based Modeling," MPRA Paper 78428, University Library of Munich, Germany.
    20. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    21. Alqaralleh, Huthaifa & Canepa, Alessandra, 2020. "Housing market cycles in large urban areas," Economic Modelling, Elsevier, vol. 92(C), pages 257-267.
    22. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    23. Gross, Marco & Población, Javier, 2017. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Economic Modelling, Elsevier, vol. 61(C), pages 510-528.
    24. Yifei Wu & Jeffrey H Dorfman, 2018. "Reducing residential mortgage default: Should policy act before or after home purchases?," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    25. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    26. Corrado Monti & Marco Pangallo & Gianmarco De Francisci Morales & Francesco Bonchi, 2022. "On learning agent-based models from data," Papers 2205.05052, arXiv.org, revised Nov 2022.
    27. Chiang, Shu-hen & Chen, Chien-Fu, 2022. "From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    28. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    29. Dag Einar Sommervoll & Jan de Haan, 2014. "Homes and Castles: Should We Care about Idiosyncratic Risk?," Land Economics, University of Wisconsin Press, vol. 90(4), pages 700-716.
    30. Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
    31. Miguel Angel Iraola & Juan Pablo Torres-Martinez, 2012. "Liquidity Contractions and Prepayment Risk on Collateralized Asset Markets," Working Papers 1204, Centro de Investigacion Economica, ITAM.
    32. Robert L. Axtell & Omar A. Guerrero & Eduardo L'opez, 2019. "Frictional Unemployment on Labor Flow Networks," Papers 1903.04954, arXiv.org.
    33. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    34. Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
    35. Batini, Nicoletta & Melina, Giovanni & Villa, Stefania, 2019. "Fiscal buffers, private debt, and recession: The good, the bad and the ugly," Journal of Macroeconomics, Elsevier, vol. 62(C).
    36. Neuberger, Doris & Rissi, Roger, 2012. "Macroprudential banking regulation: Does one size fit all?," Thuenen-Series of Applied Economic Theory 124, University of Rostock, Institute of Economics.
    37. Martin Guzman & Peter Howitt, 2016. "Learning, Expectations, and the Financial Instability Hypothesis," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 6, pages 50-60, Palgrave Macmillan.
    38. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    39. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    40. John Muellbauer, 2016. "Macroeconomics and Consumption," Economics Series Working Papers Paper-811, University of Oxford, Department of Economics.
    41. Roy Kouwenberg & Remco C J Zwinkels, 2015. "Endogenous Price Bubbles in a Multi-Agent System of the Housing Market," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-10, June.
    42. Yun Liu, 2022. "Housing and monetary policy: Fresh evidence from China," Financial Economics Letters, Anser Press, vol. 1(1), pages 1-12, December.
    43. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    44. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    45. Marco Pangallo & Jean Pierre Nadal & Annick Vignes, 2016. "Residential income segregation: A behavioral model of the housing market," Papers 1606.00424, arXiv.org, revised Oct 2018.
    46. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
    47. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.
    48. Hanappi, Hardy, 2017. "Agent-based modelling. History, essence, future," MPRA Paper 79331, University Library of Munich, Germany.
    49. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    50. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    51. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    52. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    53. Timothy C Haas & Sam M Ferreira, 2016. "Combating Rhino Horn Trafficking: The Need to Disrupt Criminal Networks," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-26, November.
    54. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    55. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    56. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    57. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    58. Samuel Wiese & Jagoda Kaszowska-Mojsa & Joel Dyer & Jose Moran & Marco Pangallo & Francois Lafond & John Muellbauer & Anisoara Calinescu & J. Doyne Farmer, 2024. "Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model," Papers 2409.18760, arXiv.org.
    59. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2016. "The Network Composition of Aggregate Unemployment," MPRA Paper 68962, University Library of Munich, Germany.
    60. Lo Andrew W., 2019. "The Visible Hand," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(3), pages 1-5, December.
    61. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    62. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    63. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    64. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    65. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    66. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    67. Carro, Adrian, 2023. "Taming the housing roller coaster: The impact of macroprudential policy on the house price cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
    68. Filandri, Marianna & Pasqua, Silvia & Priori, Eleonora, 2023. "Breaking through the glass ceiling. Simulating policies to close the gender gap in the Italian academia," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    69. Gräbner, Claudius, 2015. "Formal Approaches to Socio Economic Policy Analysis - Past and Perspectives," MPRA Paper 61348, University Library of Munich, Germany.
    70. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2018. "Multi-unit multiple bid auctions in balancing markets: an agent-based Q-learning approach," EWI Working Papers 2018-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    71. Jiaqi Ge & Bernardo Alves Furtado, 2024. "Modelling urban transition with coupled housing and labour markets," Environment and Planning B, , vol. 51(3), pages 590-609, March.
    72. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    73. Yang, Xiaoliang & Zhou, Peng, 2022. "Wealth inequality and social mobility: A simulation-based modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 307-329.
    74. Dieci, Roberto & Westerhoff, Frank, 2015. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear dynamics approach," BERG Working Paper Series 99, Bamberg University, Bamberg Economic Research Group.
    75. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    76. Leo Ardon & Benjamin Patrick Evans & Deepeka Garg & Annapoorani Lakshmi Narayanan & Makada Henry-Nickie & Sumitra Ganesh, 2024. "Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products," Papers 2411.00563, arXiv.org.
    77. Benjamin Patrick Evans & Kirill Glavatskiy & Michael S. Harré & Mikhail Prokopenko, 2023. "The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 5-57, January.
    78. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    79. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.
    80. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.
    81. Gao, Lin, 2016. "Trust and Performance: Exploring Socio-Economic Mechanisms in the “Deep” Network Structure with Agent-Based Modeling," MPRA Paper 75214, University Library of Munich, Germany.
    82. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2021. "Multi-unit multiple bid auctions in balancing markets: An agent-based Q-learning approach," Energy Economics, Elsevier, vol. 93(C).
    83. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

Articles

  1. John Geanakoplos & Robert Axtell & J. Doyne Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review, American Economic Association, vol. 102(3), pages 53-58, May.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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-CMP: Computational Economics (4) 2012-03-21 2022-02-21 2023-11-20 2024-11-04
  2. NEP-BIG: Big Data (3) 2022-02-21 2023-11-20 2024-11-04
  3. NEP-ECM: Econometrics (2) 2022-02-21 2024-11-04
  4. NEP-GTH: Game Theory (2) 2022-02-21 2024-11-04
  5. NEP-CBA: Central Banking (1) 2018-05-14
  6. NEP-MAC: Macroeconomics (1) 2012-03-21
  7. NEP-ORE: Operations Research (1) 2022-02-21
  8. NEP-URE: Urban and Real Estate Economics (1) 2012-03-21

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