Jaqueson Kingeski Galimberti : Citation Profile


Are you Jaqueson Kingeski Galimberti?

Auckland University of Technology (98% share)
Eidgenössische Technische Hochschule Zürich (ETHZ) (1% share)
Australian National University (1% share)

4

H index

1

i10 index

47

Citations

RESEARCH PRODUCTION:

12

Articles

22

Papers

RESEARCH ACTIVITY:

   11 years (2009 - 2020). See details.
   Cites by year: 4
   Journals where Jaqueson Kingeski Galimberti has often published
   Relations with other researchers
   Recent citing documents: 6.    Total self citations: 16 (25.4 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pga316
   Updated: 2020-09-26    RAS profile: 2020-08-24    
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Relations with other researchers


Works with:

Berardi, Michele (6)

Da Silva, Sergio (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Jaqueson Kingeski Galimberti.

Is cited by:

Singleton, Carl (6)

Berardi, Michele (5)

Schäfer, Daniel (4)

Markiewicz, Agnieszka (4)

Liu, Keqing (3)

Cruijsen, Carin (3)

Caporale, Guglielmo Maria (3)

Damjanovic, Tatiana (3)

catik, nazif (3)

Girdėnas, Šarūnas (3)

Sharpe, Timothy (2)

Cites to:

Berardi, Michele (21)

Evans, George (19)

Croushore, Dean (14)

Honkapohja, Seppo (13)

Orphanides, Athanasios (12)

Milani, Fabio (11)

Williams, Noah (10)

Watson, Mark (9)

Sargent, Thomas (9)

Williams, John (9)

Maravall, Agustin (8)

Main data


Where Jaqueson Kingeski Galimberti has published?


Journals with more than one article published# docs
Journal of Economic Dynamics and Control2
Economics Bulletin2
Economics Letters2

Working Papers Series with more than one paper published# docs
KOF Working papers / KOF Swiss Economic Institute, ETH Zurich7
MPRA Paper / University Library of Munich, Germany5
Working Papers / Auckland University of Technology, Department of Economics3

Recent works citing Jaqueson Kingeski Galimberti (2020 and 2019)


YearTitle of citing document
2020Real-time estimation of the short-run impact of COVID-19 on economic activity using electricity market data. (2020). Fanghella, Valeria ; Fezzi, Carlo. In: Papers. RePEc:arx:papers:2007.03477.

Full description at Econpapers || Download paper

2020Does monetary policy credibility mitigate the fear of floating?. (2020). Ferreira, Caio Ferrari ; Montes, Gabriel Caldas. In: Economic Modelling. RePEc:eee:ecmode:v:84:y:2020:i:c:p:76-87.

Full description at Econpapers || Download paper

2020Modelling the dynamics of unconventional monetary policies’ impact on professionals’ forecasts. (2020). Kenourgios, Dimitris ; Dimitriou, Dimitrios ; Papadamou, Stephanos ; Zopounidis, Constantin. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:64:y:2020:i:c:s1042443119304093.

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2019Learning expectations using multi-period forecasts. (2019). Koursaros, Demetris. In: Journal of Economics and Business. RePEc:eee:jebusi:v:102:y:2019:i:c:p:1-25.

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2020Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data. (2020). Fanghella, Valeria ; Fezzi, Carlo. In: Environmental & Resource Economics. RePEc:kap:enreec:v:76:y:2020:i:4:d:10.1007_s10640-020-00467-4.

Full description at Econpapers || Download paper

2019A probabilistic interpretation of the constant gain algorithm. (2019). Berardi, Michele. In: MPRA Paper. RePEc:pra:mprapa:94023.

Full description at Econpapers || Download paper

Works by Jaqueson Kingeski Galimberti:


YearTitleTypeCited
2011CONDITIONED EXPORT-LED GROWTHHYPOTHESIS: A PANEL THRESHOLD REGRESSIONS APPROACH In: Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting].
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2009Conditioned Export-Led Growth Hypothesis: A Panel Threshold Regressions Approach.(2009) In: MPRA Paper.
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This paper has another version. Agregated cites: 4
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2020Forecasting GDP growth from outer space In: Working Papers.
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2017Forecasting GDP growth from the outer space.(2017) In: KOF Working papers.
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2020Information weighting under least squares adaptive learning In: Working Papers.
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2020Measuring Inequality using Geospatial Data In: Working Papers.
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2019SMOOTHING-BASED INITIALIZATION FOR LEARNING-TO-FORECAST ALGORITHMS In: Macroeconomic Dynamics.
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2017Smoothing-based Initialization for Learning-to-Forecast Algorithms.(2017) In: KOF Working papers.
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2009A proxy-variable search procedure In: Economics Bulletin.
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2012An empirical case against the use of genetic-based learning classifier systems as forecasting devices In: Economics Bulletin.
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2019An approximation of the distribution of learning estimates in macroeconomic models In: Journal of Economic Dynamics and Control.
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2019An approximation of the distribution of learning estimates in macroeconomic models.(2019) In: KOF Working papers.
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2017On the initialization of adaptive learning in macroeconomic models In: Journal of Economic Dynamics and Control.
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2016On the Initialization of Adaptive Learning in Macroeconomic Models.(2016) In: KOF Working papers.
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2013A note on exact correspondences between adaptive learning algorithms and the Kalman filter In: Economics Letters.
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2012A note on exact correspondences between adaptive learning algorithms and the Kalman filter.(2012) In: Centre for Growth and Business Cycle Research Discussion Paper Series.
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2014A note on the representative adaptive learning algorithm In: Economics Letters.
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2014A Note on the Representative Adaptive Learning Algorithm.(2014) In: KOF Working papers.
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This paper has another version. Agregated cites: 4
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2016Improving the reliability of real-time output gap estimates using survey forecasts In: International Journal of Forecasting.
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2017Empirical calibration of adaptive learning In: Journal of Economic Behavior & Organization.
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2015Empirical Calibration of Adaptive Learning.(2015) In: KOF Working papers.
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This paper has another version. Agregated cites: 5
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2013Taylor rules and exchange rate predictability in emerging economies In: Journal of International Money and Finance.
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2010Taylor Rules and Exchange Rate Predictability in Emerging Economies.(2010) In: Insper Working Papers.
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This paper has another version. Agregated cites: 13
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2010Robot traders can prevent extreme events in complex stock markets In: Physica A: Statistical Mechanics and its Applications.
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2010Robot traders can prevent extreme events in complex stock markets.(2010) In: MPRA Paper.
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2020Information weighting under least squares learning In: CAMA Working Papers.
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2017Cowboying Stock Market Herds with Robot Traders In: Computational Economics.
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2016Cowboying Stock Market Herds with Robot Traders.(2016) In: MPRA Paper.
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2014Improving the reliability of real-time Hodrick-Prescott Filtering using survey forecasts In: KOF Working papers.
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2011Improving the reliability of real-time Hodrick-Prescott filtering using survey forecasts.(2011) In: Centre for Growth and Business Cycle Research Discussion Paper Series.
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This paper has another version. Agregated cites: 0
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2012On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine In: Centre for Growth and Business Cycle Research Discussion Paper Series.
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2012On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm In: Centre for Growth and Business Cycle Research Discussion Paper Series.
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2009Explaining earnings persistence: a threshold autoregressive panel unit root approach In: MPRA Paper.
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2012A tutorial note on the properties of ARIMA optimal forecasts In: MPRA Paper.
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