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Geert Mesters

Personal Details

First Name:Geert
Middle Name:
Last Name:Mesters
Suffix:
RePEc Short-ID:pme642
[This author has chosen not to make the email address public]
http://www.geertmesters.nl
Terminal Degree:2015 Afdeling Econometrie and Operations Research; School of Business and Economics; Vrije Universiteit Amsterdam (from RePEc Genealogy)

Affiliation

Departament d'Economia i Empresa
Universitat Pompeu Fabra
Barcelona School of Economics (BSE)

Barcelona, Spain
http://www.econ.upf.edu/
RePEc:edi:deupfes (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Geert Mesters & Régis Barnichon, 2025. "Policy evaluation with Sufficient Macro Statistics -a primer," Working Papers 1474, Barcelona School of Economics.
  2. Geert Mesters & Régis Barnichon, 2025. "Innovations Meet Narratives -Improving the Power-Credibility Trade-off in Macro," Working Papers 1475, Barcelona School of Economics.
  3. Geert Mesters & Régis Barnichon, 2023. "Evaluating Policy Institutions -150 Years of US Monetary Policy-," Working Papers 1410, Barcelona School of Economics.
  4. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.
  5. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
  6. Piotr Zwiernik & Geert Mesters, 2022. "Non-Independent Components Analysis," Working Papers 1358, Barcelona School of Economics.
  7. Adam Lee & Lukas Hoesch & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
  8. Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.
  9. Geert Mesters & Régis Barnichon, 2021. "Reconciling Fiscal Ceilings with Macro Stabilization," Working Papers 1277, Barcelona School of Economics.
  10. Régis Barnichon & Geert Mesters, 2021. "Fiscal targeting," Economics Working Papers 1793, Department of Economics and Business, Universitat Pompeu Fabra.
  11. Adam Lee & Geert Mesters, 2021. "Robust non-Gaussian inference for linear simultaneous equations models," Economics Working Papers 1792, Department of Economics and Business, Universitat Pompeu Fabra.
  12. Geert Mesters & Régis Barnichon, 2020. "A Sufficient Statistics Approach for Macro Policy Evaluation," Working Papers 1171, Barcelona School of Economics.
  13. Régis Barnichon & Geert Mesters, 2020. "Optimal policy perturbations," Economics Working Papers 1716, Department of Economics and Business, Universitat Pompeu Fabra.
  14. Geert Mesters & Régis Barnichon, 2019. "The Phillips Multiplier," Working Papers 1070, Barcelona School of Economics.
  15. Geert Mesters & Régis Barnichon, 2019. "Identifying Modern Macro Equations with Old Shocks," Working Papers 1097, Barcelona School of Economics.
  16. Geert Mesters & Christian Brownlees, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
  17. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
  18. Geert Mesters & Victor van der Geest & Catrien Bijleveld, 2014. "Crime, Employment and Social Welfare: an Individual-level Study on Disadvantaged Males," Tinbergen Institute Discussion Papers 14-091/III, Tinbergen Institute.
  19. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
  20. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
  21. Geert Mesters & Siem Jan Koopman, 2012. "A Forty Year Assessment of Forecasting the Boat Race," Tinbergen Institute Discussion Papers 12-110/III, Tinbergen Institute.
  22. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.

Articles

  1. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
  2. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
  3. Régis Barnichon & Geert Mesters, 2023. "A Sufficient Statistics Approach for Macro Policy," American Economic Review, American Economic Association, vol. 113(11), pages 2809-2845, November.
  4. Barnichon, Regis & Mesters, Geert, 2021. "The Phillips multiplier," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 689-705.
  5. Brownlees, Christian & Mesters, Geert, 2021. "Detecting granular time series in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 544-561.
  6. Regis Barnichon & Geert Mesters, 2020. "Identifying Modern Macro Equations with Old Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2255-2298.
  7. Regis Barnichon & Geert Mesters, 2018. "On the Demographic Adjustment of Unemployment," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 219-231, May.
  8. Régis Barnichon & Geert Mesters, 2017. "How Tight Is the U.S. Labor Market?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
  9. S. J. Koopman & G. Mesters, 2017. "Empirical Bayes Methods for Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 486-498, July.
  10. G. Mesters & S. J. Koopman & M. Ooms, 2016. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
  11. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.

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. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.

    Cited by:

    1. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    2. Bauckloh, Michael Tobias & Dobrick, Juris & Höck, André & Utz, Sebastian & Wagner, Marcus, 2023. ""In partnership for the goals"? The (dis)agreement of SDG ratings," CFR Working Papers 23-02, University of Cologne, Centre for Financial Research (CFR).
    3. Keiji Jindo & Jens A. Andersson & Foluke Quist-Wessel & Jackonia Onyango & Johannes W. A. Langeveld, 2023. "Gendered investment differences among smallholder farmers: evidence from a microcredit programme in western kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(6), pages 1489-1504, December.
    4. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.
    5. Goel, Rajeev K. & Nelson, Michael A., 2023. "Women’s political empowerment: Influence of women in legislative versus executive branches in the fight against corruption," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 139-159.
    6. Cao, Yu & Capra, C. Mónica & Su, Yuxin, 2023. "Do prosocial incentives motivate women to set higher goals and improve performance?," Journal of Economic Psychology, Elsevier, vol. 99(C).
    7. Cettolin, Elena & Cole, Kym & Dalton, Patricio, 2022. "Improving Workers’ Performance in Small Firms : A Randomized Experiment on Goal Setting in Ghana," Discussion Paper 2022-028, Tilburg University, Center for Economic Research.
    8. Bauckloh, Tobias & Dobrick, Juris & Höck, André & Utz, Sebastian & Wagner, Marcus, 2024. "In partnership for the goals? The level of agreement between SDG ratings," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 664-678.

  2. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    2. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.

  3. Piotr Zwiernik & Geert Mesters, 2022. "Non-Independent Components Analysis," Working Papers 1358, Barcelona School of Economics.

    Cited by:

    1. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.
    2. Cordoni, Francesco & Dorémus, Nicolas & Moneta, Alessio, 2024. "Identification of vector autoregressive models with nonlinear contemporaneous structure," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
    3. Martin Bruns & Sascha A. Keweloh, 2023. "Testing for Strong Exogeneity in Proxy-VARS," University of East Anglia School of Economics Working Paper Series 2023-07, School of Economics, University of East Anglia, Norwich, UK..

  4. Adam Lee & Lukas Hoesch & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.

    Cited by:

    1. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    2. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.

  5. Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.

    Cited by:

    1. José Luis Montiel Olea & Mikkel Plagborg-Møller & Eric Qian, 2022. "SVAR Identification from Higher Moments: Has the Simultaneous Causality Problem Been Solved?," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 481-485, May.
    2. Gabriele Fiorentini & Alessio Moneta & Francesca Papagni, 2024. "Identification of one independent shock in structural VARs," LEM Papers Series 2024/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  6. Adam Lee & Geert Mesters, 2021. "Robust non-Gaussian inference for linear simultaneous equations models," Economics Working Papers 1792, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. José Luis Montiel Olea & Mikkel Plagborg-Møller & Eric Qian, 2022. "SVAR Identification from Higher Moments: Has the Simultaneous Causality Problem Been Solved?," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 481-485, May.
    2. Daniel Lewis, 2024. "Identification based on higher moments," CeMMAP working papers 03/24, Institute for Fiscal Studies.
    3. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.

  7. Geert Mesters & Régis Barnichon, 2020. "A Sufficient Statistics Approach for Macro Policy Evaluation," Working Papers 1171, Barcelona School of Economics.

    Cited by:

    1. Hack, Lukas & Istrefi, Klodiana & Meier, Matthias, 2023. "Identification of systematic monetary policy," Working Paper Series 2851, European Central Bank.
    2. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time-Series Regressions Tell Us About Policy Counterfactuals?," Staff Report 642, Federal Reserve Bank of Minneapolis.
    3. Takanori ADACHI & Michal FABINGER, 2021. "A Sufficient Statistics Approach for Welfare Analysis of Oligopolistic Third-Degree Price Discrimination," Discussion papers e-21-005, Graduate School of Economics , Kyoto University.

  8. Geert Mesters & Régis Barnichon, 2019. "The Phillips Multiplier," Working Papers 1070, Barcelona School of Economics.

    Cited by:

    1. Erwan Gautier & Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2022. "New Facts on Consumer Price Rigidity in the Euro Area," Working papers 878, Banque de France.
    2. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
    3. Barbara Rossi & Atsushi Inoue & Yiru Wang, 2024. "Has the Phillips curve flattened?," French Stata Users' Group Meetings 2024 22, Stata Users Group.
    4. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," CEF.UP Working Papers 1902, Universidade do Porto, Faculdade de Economia do Porto.
    5. Gabriel, Ricardo Duque, 2023. "Monetary policy and the wage inflation-unemployment tradeoff," European Economic Review, Elsevier, vol. 159(C).
    6. Eser, Fabian & Karadi, Peter & Lane, Philip R. & Moretti, Laura & Osbat, Chiara, 2020. "The Phillips Curve at the ECB," Working Paper Series 2400, European Central Bank.
    7. Janice C. Eberly & James H. Stock & Jonathan H. Wright, 2019. "The Federal Reserve’s Current Framework for Monetary Policy: A Review and Assessment," NBER Working Papers 26002, National Bureau of Economic Research, Inc.
    8. Martins, Manuel Mota Freitas & Verona, Fabio, 2021. "Inflation dynamics and forecast: Frequency matters," Bank of Finland Research Discussion Papers 8/2021, Bank of Finland.
    9. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parraga Rodriguez, Susana &, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    10. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020. "Bayesian Modelling of TVP-VARs Using Regression Trees," Working Papers 2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
    11. Smith, Simon & Timmermann, Allan & Wright, Jonathan, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," CEPR Discussion Papers 18033, C.E.P.R. Discussion Papers.
    12. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    13. Combes, Jean-Louis & Lesuisse, Pierre, 2022. "Inflation and unemployment, new insights during the EMU accession," International Economics, Elsevier, vol. 172(C), pages 124-142.
    14. Ioannou, Demosthenes & Stracca, Livio & Pagliari, Maria Sole, 2020. "The international dimension of an incomplete EMU," Working Paper Series 2459, European Central Bank.
    15. Hideaki Aoyama & Corrado Guilmi & Yoshi Fujiwara & Hiroshi Yoshikawa, 2022. "Dual labor market and the “Phillips curve puzzle”: the Japanese experience," Journal of Evolutionary Economics, Springer, vol. 32(5), pages 1419-1435, November.
    16. Sirio Aramonte, 2022. "Inflation risk and the labor market: beneath the surface of a flat Phillips curve," BIS Working Papers 1054, Bank for International Settlements.
    17. Demosthenes Ioannou & Maria Sole Pagliari & Livio Stracca, 2020. "The international dimension of a fragile EMU," Working papers 795, Banque de France.
    18. Manuel M. F. Martins & Fabio Verona, 2024. "Forecasting Inflation with the New Keynesian Phillips Curve: Frequencies Matter," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 811-832, August.
    19. Hideaki AOYAMA & Corrado DI GUILMI & Yoshi FUJIWARA & Hiroshi YOSHIKAWA, 2021. "Dual Labor Market and the "Phillips Curve Puzzle"," Discussion papers 21006, Research Institute of Economy, Trade and Industry (RIETI).
    20. Schuffels, Johannes & Kool, Clemens & Lieb, Lenard & van Veen, Tom, 2024. "Is the slope of the euro area Phillips curve steeper than it seems? Heterogeneity and identification," Journal of International Money and Finance, Elsevier, vol. 148(C).
    21. Czudaj, Robert L., 2023. "Expectation Formation and the Phillips Curve Revisited," MPRA Paper 119478, University Library of Munich, Germany.
    22. Shukai Du, 2024. "Competition and regional Phillips curve: Evidence from China," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-21, May.
    23. Max Breitenlechner & Martin Geiger & Mathias Klein, 2024. "The Fiscal Channel of Monetary Policy," Working Papers 2024-07, Faculty of Economics and Statistics, Universität Innsbruck.
    24. Erwan Gautier & Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner, & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & S, 2022. "New facts on consumer price rigidity in the euro area," Working Paper Research 408, National Bank of Belgium.
    25. Ángelo Gutiérrez-Daza, 2024. "Business Cycles when Consumers Learn by Shopping," Working Papers 2024-12, Banco de México.
    26. Martins, Manuel M.F. & Verona, Fabio, 2023. "Inflation dynamics in the frequency domain," Economics Letters, Elsevier, vol. 231(C).
    27. Maurice Obstfeld, 2020. "Global Dimensions of U.S. Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 16(1), pages 73-132, February.
    28. Yao Chen & Felix Ward, 2022. "Output Divergence in Fixed Exchange Rate Regimes: Is the Euro Area Growing Apart?," Tinbergen Institute Discussion Papers 22-031/VI, Tinbergen Institute.
    29. Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Erwan Gautier & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2022. "New Facts on Consumer Price Rigidity in the Euro Area (Erwan Gautier, Cristina Conflitti, Riemer P. Faber, Brian Fabo, Ludmila Fadejeva, Valentin Jouvanceau, Jan-Oliver Menz, Teresa Messner, Pavlos Pe," Working Papers 240, Oesterreichische Nationalbank (Austrian Central Bank).
    30. Antonio M. Conti & Elisa Guglielminetti & Marianna Riggi, 2019. "Labour productivity and the wageless recovery," Temi di discussione (Economic working papers) 1257, Bank of Italy, Economic Research and International Relations Area.
    31. Ziegenbein, Alexander, 2021. "Macroeconomic shocks and Okun’s Law," Economics Letters, Elsevier, vol. 202(C).
    32. Debortoli, Davide & Forni, Mario & Gambetti, Luca & Sala, Luca, 2023. "Asymmetric Monetary Policy Tradeoffs," CEPR Discussion Papers 18438, C.E.P.R. Discussion Papers.
    33. Sarantis Tsiaplias, 2024. "Inflation as a 'bad', heuristics and aggregate shocks: New evidence on expectation formation," Melbourne Institute Working Paper Series wp2024n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

  9. Geert Mesters & Régis Barnichon, 2019. "Identifying Modern Macro Equations with Old Shocks," Working Papers 1097, Barcelona School of Economics.

    Cited by:

    1. William Chen & Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What’s Up with the Phillips Curve?," Liberty Street Economics 20200918a, Federal Reserve Bank of New York.
    2. Bush, Oliver, 2024. "Fiscal financing regimes and nominal stability: an historical analysis," LSE Research Online Documents on Economics 126211, London School of Economics and Political Science, LSE Library.
    3. Philippe Andrade & Filippo Ferroni & Leonardo Melosi, 2025. "Higher-order Moment Inequality Restrictions for SVARs," Working Papers 25-3, Federal Reserve Bank of Boston.
    4. Barbara Rossi & Atsushi Inoue & Yiru Wang, 2024. "Has the Phillips curve flattened?," French Stata Users' Group Meetings 2024 22, Stata Users Group.
    5. Michael McLeay & Silvana Tenreyro, 2018. "Optimal Inflation and the Identification of the Phillips Curve," Discussion Papers 1815, Centre for Macroeconomics (CFM).
    6. Rodnyansky, Alexander & Van der Ghote, Alejandro & Wales, Daniel, 2022. "Product quality, measured inflation and monetary policy," Working Paper Series 2680, European Central Bank.
    7. Ascari, Guido & Fosso, Luca, 2024. "The international dimension of trend inflation," Journal of International Economics, Elsevier, vol. 148(C).
    8. Martin Wolf & Luca Fornaro, 2020. "The scars of supply shocks: Implications for monetary policy," Working Papers 1214, Barcelona School of Economics.
    9. Alloza, Mario & Gonzalo, Jesús & Sanz, Carlos, 2025. "Dynamic effects of persistent shocks," UC3M Working papers. Economics 45381, Universidad Carlos III de Madrid. Departamento de Economía.
    10. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    11. Combes, Jean-Louis & Lesuisse, Pierre, 2022. "Inflation and unemployment, new insights during the EMU accession," International Economics, Elsevier, vol. 172(C), pages 124-142.
    12. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023. "Inflation expectations and nonlinearities in the Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
    13. Clements, Michael P., 2024. "Do professional forecasters believe in the Phillips curve?," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1238-1254.
    14. Matthew Rognlie, 2019. "Comment on "Optimal Inflation and the Identification of the Phillips Curve"," NBER Chapters, in: NBER Macroeconomics Annual 2019, volume 34, pages 267-279, National Bureau of Economic Research, Inc.
    15. Régis Barnichon & Adam Hale Shapiro, 2002. "Phillips Meets Beveridge," Working Paper Series 2024-22, Federal Reserve Bank of San Francisco.
    16. Mario Forni & Luca Gambetti & Nicolò Maffei-Faccioli & Luca Sala, 2023. "The impact of financial shocks on the forecast distribution of output and inflation," Working Paper 2023/3, Norges Bank.
    17. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time-Series Regressions Tell Us About Policy Counterfactuals?," Staff Report 642, Federal Reserve Bank of Minneapolis.
    18. Thibault Lemaire, 2020. "Phillips in A Revolution: Unemployment and Prices in Early 21st Century Egypt," Working Papers 1453, Economic Research Forum, revised 20 Dec 2020.
    19. Fu, Bowen & Mendieta-Munoz, Ivan, 2025. "Trend inflation and structural shocks," EconStor Preprints 308793, ZBW - Leibniz Information Centre for Economics.
    20. Alessandri, Piergiorgio & Jordà , Òscar & Venditti, Fabrizio, 2023. "Decomposing the monetary policy multiplier," CEPR Discussion Papers 18166, C.E.P.R. Discussion Papers.
    21. Ángelo Gutiérrez-Daza, 2024. "Business Cycles when Consumers Learn by Shopping," Working Papers 2024-12, Banco de México.
    22. Adam Hale Shapiro, "undated". "Decomposing Supply and Demand Driven Inflation," RBA Annual Conference Papers acp2023-03, Reserve Bank of Australia, revised Nov 2023.
    23. Mario Giarda, 2021. "The Labor Earnings Gap, Heterogeneous Wage Phillips Curves, and Monetary Policy," Working Papers Central Bank of Chile 934, Central Bank of Chile.
    24. Hie Joo Ahn & Jeremy B. Rudd, 2024. "(Re-)Connecting Inflation and the Labor Market: A Tale of Two Curves," Finance and Economics Discussion Series 2024-050r1, Board of Governors of the Federal Reserve System (U.S.), revised 28 May 2025.
    25. Bertille Antoine & Otilia Boldea & Niccolo Zaccaria, 2024. "Efficient two-sample instrumental variable estimators with change points and near-weak identification," Papers 2406.17056, arXiv.org.
    26. Debortoli, Davide & Forni, Mario & Gambetti, Luca & Sala, Luca, 2023. "Asymmetric Monetary Policy Tradeoffs," CEPR Discussion Papers 18438, C.E.P.R. Discussion Papers.
    27. Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
    28. Portier, Franck & Beaudry, Paul & Hou, Chenyu, 2020. "Monetary Policy when the Phillips Curve is Locally Quite Flat," CEPR Discussion Papers 15184, C.E.P.R. Discussion Papers.
    29. Richard K. Crump & Nikolay Gospodinov & Ignacio Lopez Gaffney, 2024. "A Simple Diagnostic for Time-Series and Panel-Data Regressions," Staff Reports 1132, Federal Reserve Bank of New York.
    30. Geert Mesters & Régis Barnichon, 2025. "Innovations Meet Narratives -Improving the Power-Credibility Trade-off in Macro," Working Papers 1475, Barcelona School of Economics.
    31. Aragón, Edilean Kleber da Silva Bejarano & Galvão, Ana Beatriz, 2023. "Shock-based inference on the Phillips curve with the cost channel," Economic Modelling, Elsevier, vol. 126(C).
    32. Adam Hale Shapiro, 2022. "Decomposing Supply and Demand Driven Inflation," Working Paper Series 2022-18, Federal Reserve Bank of San Francisco.

  10. Geert Mesters & Christian Brownlees, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.

    Cited by:

    1. Marko Mlikota, 2022. "Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications," Papers 2211.13610, arXiv.org, revised Mar 2025.
    2. Koijen, Ralph & Gabaix, Xavier, 2020. "Granular Instrumental Variables," CEPR Discussion Papers 15531, C.E.P.R. Discussion Papers.
    3. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    4. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    5. Yigit Aydede & Jan Ditzen, 2022. "Identifying the regional drivers of influenza-like illness in Nova Scotia with dominance analysis," Papers 2212.06684, arXiv.org.

  11. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.

    Cited by:

    1. Trebesch, Christoph & Zettelmeyer, Jeromin, 2018. "ECB interventions in distressed sovereign debt markets: The case of Greek bonds," Kiel Working Papers 2101, Kiel Institute for the World Economy (IfW Kiel).
    2. Chamon, Marcos & Schumacher, Julian & Trebesch, Christoph, 2018. "Foreign-law bonds: can they reduce sovereign borrowing costs?," Working Paper Series 2162, European Central Bank.
    3. Eser, Fabian & Schwaab, Bernd, 2016. "Evaluating the impact of unconventional monetary policy measures: Empirical evidence from the ECB׳s Securities Markets Programme," Journal of Financial Economics, Elsevier, vol. 119(1), pages 147-167.
    4. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    5. Kleppe, Tore Selland & Liesenfeld, Roman & Moura, Guilherme Valle & Oglend, Atle, 2022. "Analyzing Commodity Futures Using Factor State-Space Models with Wishart Stochastic Volatility," Econometrics and Statistics, Elsevier, vol. 23(C), pages 105-127.
    6. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2016. "Sovereign credit risk, liquidity, and European Central Bank intervention: Deus ex machina?," Journal of Financial Economics, Elsevier, vol. 122(1), pages 86-115.
    7. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).

  12. Geert Mesters & Victor van der Geest & Catrien Bijleveld, 2014. "Crime, Employment and Social Welfare: an Individual-level Study on Disadvantaged Males," Tinbergen Institute Discussion Papers 14-091/III, Tinbergen Institute.

    Cited by:

    1. Christian Aßmann & Marcel Preising, 2020. "Bayesian estimation and model comparison for linear dynamic panel models with missing values," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(4), pages 536-557, December.

  13. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.

    Cited by:

    1. Falk Bräuning & Siem Jan Koopman, 2016. "The dynamic factor network model with an application to global credit risk," Working Papers 16-13, Federal Reserve Bank of Boston.
    2. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    3. Alexander Kreuzer & Luciana Dalla Valle & Claudia Czado, 2022. "A Bayesian non‐linear state space copula model for air pollution in Beijing," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 613-638, June.
    4. Jianhao Lin & Jiacheng Fan & Yifan Zhang & Liangyuan Chen, 2023. "Real‐time macroeconomic projection using narrative central bank communication," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 202-221, March.
    5. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    6. Bräuning, Falk & Koopman, Siem Jan, 2020. "The dynamic factor network model with an application to international trade," Journal of Econometrics, Elsevier, vol. 216(2), pages 494-515.

  14. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.

    Cited by:

    1. Falk Bräuning & Siem Jan Koopman, 2016. "The dynamic factor network model with an application to global credit risk," Working Papers 16-13, Federal Reserve Bank of Boston.
    2. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    3. Christian Aßmann & Marcel Preising, 2020. "Bayesian estimation and model comparison for linear dynamic panel models with missing values," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(4), pages 536-557, December.
    4. Geert Mesters & Victor van der Geest & Catrien Bijleveld, 2014. "Crime, Employment and Social Welfare: an Individual-level Study on Disadvantaged Males," Tinbergen Institute Discussion Papers 14-091/III, Tinbergen Institute.
    5. Eser, Fabian & Schwaab, Bernd, 2016. "Evaluating the impact of unconventional monetary policy measures: Empirical evidence from the ECB׳s Securities Markets Programme," Journal of Financial Economics, Elsevier, vol. 119(1), pages 147-167.
    6. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    7. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
    8. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
    9. Bräuning, Falk & Koopman, Siem Jan, 2020. "The dynamic factor network model with an application to international trade," Journal of Econometrics, Elsevier, vol. 216(2), pages 494-515.
    10. Borus Jungbacker & Siem Jan Koopman, 2015. "Likelihood‐based dynamic factor analysis for measurement and forecasting," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 1-21, June.
    11. Borus Jungbacker & Siem Jan Koopman, 2008. "Likelihood-based Analysis for Dynamic Factor Models," Tinbergen Institute Discussion Papers 08-007/4, Tinbergen Institute, revised 20 Mar 2014.

  15. Geert Mesters & Siem Jan Koopman, 2012. "A Forty Year Assessment of Forecasting the Boat Race," Tinbergen Institute Discussion Papers 12-110/III, Tinbergen Institute.

    Cited by:

    1. Yang Lu, 2020. "A simple parameter‐driven binary time series model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 187-199, March.
    2. Raffaele Mattera, 2023. "Forecasting binary outcomes in soccer," Annals of Operations Research, Springer, vol. 325(1), pages 115-134, June.

  16. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.

    Cited by:

    1. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    2. Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
    3. Tobias Hartl & Roland Weigand, 2018. "Approximate State Space Modelling of Unobserved Fractional Components," Papers 1812.09142, arXiv.org, revised May 2020.
    4. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    5. Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.
    6. Francisco Blasques & Meindert Heres Hoogerkamp & Siem Jan Koopman & Ilka van de Werve, 2020. "Dynamic Factor Models with Clustered Loadings: Forecasting Education Flows using Unemployment Data," Tinbergen Institute Discussion Papers 20-078/III, Tinbergen Institute, revised 21 Jan 2021.
    7. Karim Barhoumi & Olivier Darn & Laurent Ferrara, 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.

Articles

  1. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
    See citations under working paper version above.
  2. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
    See citations under working paper version above.
  3. Régis Barnichon & Geert Mesters, 2023. "A Sufficient Statistics Approach for Macro Policy," American Economic Review, American Economic Association, vol. 113(11), pages 2809-2845, November.

    Cited by:

    1. Ambrocio, Gene & Haavio, Markus & McClung, Nigel, 2024. "Monetary policy announcements and sacrifice ratios," Bank of Finland Research Discussion Papers 12/2024, Bank of Finland.
    2. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.
    3. Max Breitenlechner & Martin Geiger & Mathias Klein, 2024. "The Fiscal Channel of Monetary Policy," Working Papers 2024-07, Faculty of Economics and Statistics, Universität Innsbruck.
    4. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2024. "Friend, Not Foe - Energy Prices and European Monetary Policy," Discussion Papers of DIW Berlin 2089, DIW Berlin, German Institute for Economic Research.
    5. Bernardino Adão & Sandra Gomes & Laura Alpizar, 2025. "On how to assess the impact of monetary policy," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    6. Lorenzo Mori & Gert Peersman, 2024. "Estimating the Macroeconomic Effects of Oil Supply News," CESifo Working Paper Series 11532, CESifo.
    7. Endong Wang, 2024. "Structural counterfactual analysis in macroeconomics: theory and inference," Papers 2409.09577, arXiv.org.
    8. Alexandre Carrier & Kostas Mavromatis, 2024. "Optimal normalization policy under behavioral expectations," Working Papers 800, DNB.

  4. Barnichon, Regis & Mesters, Geert, 2021. "The Phillips multiplier," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 689-705.
    See citations under working paper version above.
  5. Brownlees, Christian & Mesters, Geert, 2021. "Detecting granular time series in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 544-561.
    See citations under working paper version above.
  6. Regis Barnichon & Geert Mesters, 2020. "Identifying Modern Macro Equations with Old Shocks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2255-2298.
    See citations under working paper version above.
  7. Regis Barnichon & Geert Mesters, 2018. "On the Demographic Adjustment of Unemployment," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 219-231, May.

    Cited by:

    1. Francesco D'Amuri & Marta De Philippis & Elisa Guglielminetti & Salvatore Lo Bello, 2021. "Natural unemployment and activity rates: flow-based determinants and implications for price dynamics," Questioni di Economia e Finanza (Occasional Papers) 599, Bank of Italy, Economic Research and International Relations Area.
    2. Régis Barnichon & Davide Debortoli & Christian Matthes, 2020. "Understanding the Size of the Government Spending Multiplier: It's in the Sign," Working Paper Series 2021-01, Federal Reserve Bank of San Francisco.
    3. Maik Wolters, 2017. "How the Baby Boomers' Retirement Wave Distorts Model-Based Output Gap Estimates," Jena Economics Research Papers 2017-008, Friedrich-Schiller-University Jena.
    4. Stephanie Aaronson & Mary C. Daly & William L. Wascher & David W. Wilcox, 2019. "Okun Revisited: Who Benefits Most from a Strong Economy," Finance and Economics Discussion Series 2019-072, Board of Governors of the Federal Reserve System (U.S.).
    5. Bruce Fallick & Pawel Krolikowski, 2019. "Excess Persistence in Employment of Disadvantaged Workers," Working Papers 18-01R, Federal Reserve Bank of Cleveland.
    6. D’Amuri, Francesco & De Philippis, Marta & Guglielminetti, Elisa & Lo Bello, Salvatore, 2022. "Slack and prices during Covid-19: Accounting for labor market participation," Labour Economics, Elsevier, vol. 75(C).
    7. Richard K. Crump & Christopher J. Nekarda & Nicolas Petrosky-Nadeau, 2020. "Unemployment Rate Benchmarks," Finance and Economics Discussion Series 2020-072, Board of Governors of the Federal Reserve System (U.S.).
    8. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    9. Régis Barnichon & Geert Mesters, 2017. "How Tight Is the U.S. Labor Market?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    10. Brand, Claus & Obstbaum, Meri & Coenen, Günter & Sondermann, David & Lydon, Reamonn & Ajevskis, Viktors & Hammermann, Felix & Angino, Siria & Hernborg, Nils & Basso, Henrique & Hertweck, Matthias & Bi, 2021. "Employment and the conduct of monetary policy in the euro area," Occasional Paper Series 275, European Central Bank.
    11. Frohm, Erik, 2021. "Labour shortages and wage growth," Working Paper Series 2576, European Central Bank.
    12. Francisco Blasques & Meindert Heres Hoogerkamp & Siem Jan Koopman & Ilka van de Werve, 2020. "Dynamic Factor Models with Clustered Loadings: Forecasting Education Flows using Unemployment Data," Tinbergen Institute Discussion Papers 20-078/III, Tinbergen Institute, revised 21 Jan 2021.
    13. Richard K. Crump & Stefano Eusepi & Marc Giannoni & Ayşegül Şahin, 2019. "A Unified Approach to Measuring u," NBER Working Papers 25930, National Bureau of Economic Research, Inc.
    14. Alexandre Ounnas, 2020. "Job Polarization and the Labor Market: A Worker Flow Analysis," LIDAM Discussion Papers IRES 2020010, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    15. Barnichon, Regis & Matthes, Christian, 2016. "Gaussian Mixture Approximations of Impulse Responses and The Non-Linear Effects of Monetary Shocks," CEPR Discussion Papers 11374, C.E.P.R. Discussion Papers.
    16. Bart Hobijn & Ayşegül Şahin, 2021. "Maximum Employment and the Participation Cycle," NBER Working Papers 29222, National Bureau of Economic Research, Inc.
    17. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
    18. Andreas Hornstein & Marianna Kudlyak, 2019. "Aggregate Labor Force Participation and Unemployment and Demographic Trends," Working Paper Series 2019-7, Federal Reserve Bank of San Francisco.
    19. Claudia Foroni & Francesco Furlanetto, 2022. "Explaining Deviations from Okun’s Law," Working Paper 2022/4, Norges Bank.
    20. Barnichon, Regis, 2019. "The Ins and Outs of Labor Force Participation," CEPR Discussion Papers 13481, C.E.P.R. Discussion Papers.
    21. Yuelin Liu, 2022. "How structural is unemployment in the United States?," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1258-1276, July.
    22. Alonso, Andrés M. & Galeano, Pedro & Peña, Daniel, 2020. "A robust procedure to build dynamic factor models with cluster structure," Journal of Econometrics, Elsevier, vol. 216(1), pages 35-52.
    23. Régis Barnichon & Christian Matthes, 2017. "The Natural Rate of Unemployment over the Past 100 Years," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.

  8. Régis Barnichon & Geert Mesters, 2017. "How Tight Is the U.S. Labor Market?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Lael Brainard, 2017. "Why Opportunity and Inclusion Matter to America’s Economic Strength : a speech at the Opportunity and Inclusive Growth Institute Conference, sponsored by the Federal Reserve Bank of Minneapolis, May 2," Speech 953, Board of Governors of the Federal Reserve System (U.S.).
    2. Janet L. Yellen, 2017. "Inflation, Uncertainty, and Monetary Policy : a speech at the \"Prospects for Growth: Reassessing the Fundamentals\" 59th Annual Meeting of the National Association for Business Economics, C," Speech 971, Board of Governors of the Federal Reserve System (U.S.).

  9. S. J. Koopman & G. Mesters, 2017. "Empirical Bayes Methods for Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 486-498, July.
    See citations under working paper version above.
  10. G. Mesters & S. J. Koopman & M. Ooms, 2016. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
    See citations under working paper version above.
  11. Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.
    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 24 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-MAC: Macroeconomics (13) 2014-07-13 2015-04-25 2019-02-11 2019-02-25 2019-05-20 2019-05-27 2019-07-22 2020-04-20 2020-05-11 2021-08-09 2021-08-16 2023-11-13 2023-11-20. Author is listed
  2. NEP-ECM: Econometrics (12) 2011-07-13 2012-11-03 2014-11-17 2015-04-25 2017-09-24 2019-05-20 2019-05-27 2020-04-20 2021-08-09 2022-08-29 2022-10-03 2022-11-07. Author is listed
  3. NEP-MON: Monetary Economics (7) 2014-07-13 2015-04-25 2019-02-11 2019-02-25 2020-05-11 2023-11-13 2023-11-20. Author is listed
  4. NEP-CBA: Central Banking (6) 2015-04-25 2019-02-11 2019-02-25 2020-04-20 2022-08-29 2023-11-13. Author is listed
  5. NEP-ETS: Econometric Time Series (6) 2011-07-13 2012-08-23 2012-11-03 2015-04-25 2017-09-24 2022-11-07. Author is listed
  6. NEP-ORE: Operations Research (6) 2011-07-13 2012-11-03 2014-11-17 2020-05-11 2021-08-09 2021-08-16. Author is listed
  7. NEP-EEC: European Economics (3) 2014-07-13 2015-04-25 2021-08-09
  8. NEP-HIS: Business, Economic and Financial History (3) 2022-02-14 2023-11-13 2023-11-20
  9. NEP-LAW: Law and Economics (2) 2014-11-22 2015-04-25
  10. NEP-URE: Urban and Real Estate Economics (2) 2014-11-22 2015-04-25
  11. NEP-BEC: Business Economics (1) 2019-05-20
  12. NEP-CTA: Contract Theory and Applications (1) 2022-02-14
  13. NEP-DCM: Discrete Choice Models (1) 2015-04-25
  14. NEP-EXP: Experimental Economics (1) 2022-02-14
  15. NEP-FOR: Forecasting (1) 2012-11-03
  16. NEP-GEN: Gender (1) 2020-05-11
  17. NEP-HRM: Human Capital and Human Resource Management (1) 2022-02-14
  18. NEP-ISF: Islamic Finance (1) 2021-08-16

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