EconPapers    
Economics at your fingertips  
 

Details about Jaqueson Kingeski Galimberti

E-mail:
Homepage:http://sites.google.com/site/jkgeconoeng/
Workplace:Department of Economics, Faculty of Business, Economics and Law, Auckland University of Technology, (more information at EDIRC)
KOF Swiss Economic Institute, Department of Management, Technology and Economics (D-MTEC), Eidgenössische Technische Hochschule Zürich (ETHZ) (Federal Institute of Technology Zurich), (more information at EDIRC)
Centre for Applied Macroeconomic Analysis (CAMA), Crawford School of Public Policy, Australian National University, (more information at EDIRC)

Jaqueson Kingeski Galimberti edits the NEP report on Econometric Time Series.

Access statistics for papers by Jaqueson Kingeski Galimberti.

Last updated 2020-11-23. Update your information in the RePEc Author Service.

Short-id: pga316


Jump to Journal Articles

Working Papers

2020

  1. Forecasting GDP growth from outer space
    Working Papers, Auckland University of Technology, Department of Economics Downloads View citations (4)
    Also in KOF Working papers, KOF Swiss Economic Institute, ETH Zurich (2017) Downloads

    See also Journal Article in Oxford Bulletin of Economics and Statistics (2020)
  2. Information weighting under least squares adaptive learning
    Working Papers, Auckland University of Technology, Department of Economics Downloads
  3. Information weighting under least squares learning
    CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University Downloads
  4. Measuring Inequality using Geospatial Data
    Working Papers, Auckland University of Technology, Department of Economics Downloads

2019

  1. An approximation of the distribution of learning estimates in macroeconomic models
    KOF Working papers, KOF Swiss Economic Institute, ETH Zurich Downloads
    See also Journal Article in Journal of Economic Dynamics and Control (2019)

2017

  1. Smoothing-based Initialization for Learning-to-Forecast Algorithms
    KOF Working papers, KOF Swiss Economic Institute, ETH Zurich Downloads View citations (1)
    See also Journal Article in Macroeconomic Dynamics (2019)

2016

  1. Cowboying Stock Market Herds with Robot Traders
    MPRA Paper, University Library of Munich, Germany Downloads
    See also Journal Article in Computational Economics (2017)
  2. On the Initialization of Adaptive Learning in Macroeconomic Models
    KOF Working papers, KOF Swiss Economic Institute, ETH Zurich Downloads View citations (4)
    See also Journal Article in Journal of Economic Dynamics and Control (2017)

2015

  1. Empirical Calibration of Adaptive Learning
    KOF Working papers, KOF Swiss Economic Institute, ETH Zurich Downloads View citations (7)
    See also Journal Article in Journal of Economic Behavior & Organization (2017)

2014

  1. A Note on the Representative Adaptive Learning Algorithm
    KOF Working papers, KOF Swiss Economic Institute, ETH Zurich Downloads View citations (10)
    See also Journal Article in Economics Letters (2014)
  2. Improving the reliability of real-time Hodrick-Prescott Filtering using survey forecasts
    KOF Working papers, KOF Swiss Economic Institute, ETH Zurich Downloads
    Also in Centre for Growth and Business Cycle Research Discussion Paper Series, Economics, The Univeristy of Manchester (2011) Downloads View citations (3)

2012

  1. A note on exact correspondences between adaptive learning algorithms and the Kalman filter
    Centre for Growth and Business Cycle Research Discussion Paper Series, Economics, The Univeristy of Manchester Downloads View citations (3)
    See also Journal Article in Economics Letters (2013)
  2. A tutorial note on the properties of ARIMA optimal forecasts
    MPRA Paper, University Library of Munich, Germany Downloads
  3. On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine
    Centre for Growth and Business Cycle Research Discussion Paper Series, Economics, The Univeristy of Manchester Downloads View citations (7)
  4. On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm
    Centre for Growth and Business Cycle Research Discussion Paper Series, Economics, The Univeristy of Manchester Downloads View citations (5)

2011

  1. CONDITIONED EXPORT-LED GROWTHHYPOTHESIS: A PANEL THRESHOLD REGRESSIONS APPROACH
    Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting], ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics] Downloads
    Also in MPRA Paper, University Library of Munich, Germany (2009) Downloads View citations (4)

2010

  1. Robot traders can prevent extreme events in complex stock markets
    MPRA Paper, University Library of Munich, Germany Downloads View citations (4)
    See also Journal Article in Physica A: Statistical Mechanics and its Applications (2010)
  2. Taylor Rules and Exchange Rate Predictability in Emerging Economies
    Insper Working Papers, Insper Working Paper, Insper Instituto de Ensino e Pesquisa Downloads
    See also Journal Article in Journal of International Money and Finance (2013)

2009

  1. Explaining earnings persistence: a threshold autoregressive panel unit root approach
    MPRA Paper, University Library of Munich, Germany Downloads View citations (2)

Journal Articles

2020

  1. Forecasting GDP Growth from Outer Space
    Oxford Bulletin of Economics and Statistics, 2020, 82, (4), 697-722 Downloads View citations (1)
    See also Working Paper (2020)

2019

  1. An approximation of the distribution of learning estimates in macroeconomic models
    Journal of Economic Dynamics and Control, 2019, 102, (C), 29-43 Downloads View citations (1)
    See also Working Paper (2019)
  2. SMOOTHING-BASED INITIALIZATION FOR LEARNING-TO-FORECAST ALGORITHMS
    Macroeconomic Dynamics, 2019, 23, (3), 1008-1023 Downloads
    See also Working Paper (2017)

2017

  1. Cowboying Stock Market Herds with Robot Traders
    Computational Economics, 2017, 50, (3), 393-423 Downloads
    See also Working Paper (2016)
  2. Empirical calibration of adaptive learning
    Journal of Economic Behavior & Organization, 2017, 144, (C), 219-237 Downloads View citations (5)
    See also Working Paper (2015)
  3. On the initialization of adaptive learning in macroeconomic models
    Journal of Economic Dynamics and Control, 2017, 78, (C), 26-53 Downloads View citations (1)
    See also Working Paper (2016)

2016

  1. Improving the reliability of real-time output gap estimates using survey forecasts
    International Journal of Forecasting, 2016, 32, (2), 358-373 Downloads View citations (4)

2014

  1. A note on the representative adaptive learning algorithm
    Economics Letters, 2014, 124, (1), 104-107 Downloads View citations (10)
    See also Working Paper (2014)

2013

  1. A note on exact correspondences between adaptive learning algorithms and the Kalman filter
    Economics Letters, 2013, 118, (1), 139-142 Downloads View citations (13)
    See also Working Paper (2012)
  2. Taylor rules and exchange rate predictability in emerging economies
    Journal of International Money and Finance, 2013, 32, (C), 1008-1031 Downloads View citations (14)
    See also Working Paper (2010)

2012

  1. An empirical case against the use of genetic-based learning classifier systems as forecasting devices
    Economics Bulletin, 2012, 32, (1), 354-369 Downloads

2010

  1. Robot traders can prevent extreme events in complex stock markets
    Physica A: Statistical Mechanics and its Applications, 2010, 389, (22), 5182-5192 Downloads View citations (2)
    See also Working Paper (2010)

2009

  1. A proxy-variable search procedure
    Economics Bulletin, 2009, 29, (4), 2531-2541 Downloads
 
Page updated 2021-03-02