Maximiano Pinheiro : Citation Profile


Are you Maximiano Pinheiro?

Banco de Portugal

5

H index

1

i10 index

62

Citations

RESEARCH PRODUCTION:

12

Articles

9

Papers

RESEARCH ACTIVITY:

   29 years (1989 - 2018). See details.
   Cites by year: 2
   Journals where Maximiano Pinheiro has often published
   Relations with other researchers
   Recent citing documents: 24.    Total self citations: 5 (7.46 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/ppi237
   Updated: 2019-03-23    RAS profile: 2019-02-01    
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Relations with other researchers


Works with:

Rua, António (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Maximiano Pinheiro.

Is cited by:

Ruiz, Esther (3)

Paloviita, Maritta (3)

Schultefrankenfeld, Guido (3)

Mayes, David (3)

Poncela, Pilar (3)

Darné, Olivier (2)

Horvath, Roman (2)

Paniagua, Jordi (2)

Corona, Francisco (2)

Baruník, Jozef (2)

Tamarit, Cecilio (2)

Cites to:

Watson, Mark (26)

Reichlin, Lucrezia (20)

Stock, James (17)

Ng, Serena (14)

Bai, Jushan (12)

Schumacher, Christian (11)

Forni, Mario (11)

Giannone, Domenico (10)

Rua, António (9)

Lippi, Marco (9)

Hallin, Marc (9)

Main data


Where Maximiano Pinheiro has published?


Journals with more than one article published# docs
Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies4
Oxford Bulletin of Economics and Statistics2

Working Papers Series with more than one paper published# docs
Working Papers / Banco de Portugal, Economics and Research Department8

Recent works citing Maximiano Pinheiro (2018 and 2017)


YearTitle of citing document
2017Multi-level factor analysis of bond risk premia. (2017). Kim, Yunjung ; Yuhyeon, Bak ; Yunjung, Kim. In: Studies in Nonlinear Dynamics & Econometrics. RePEc:bpj:sndecm:v:21:y:2017:i:5:p:19:n:2.

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2017Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models. (2017). Soccorsi, Stefano ; Hallin, Marc ; Barigozzi, Matteo. In: Working Papers ECARES. RePEc:eca:wpaper:2013/248676.

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2017Forecasting Chinas GDP growth using dynamic factors and mixed-frequency data. (2017). Jiang, YU ; Zhang, Yihao ; Guo, Yongji . In: Economic Modelling. RePEc:eee:ecmode:v:66:y:2017:i:c:p:132-138.

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2017Dissecting models forecasting performance. (2017). Siliverstovs, Boriss. In: Economic Modelling. RePEc:eee:ecmode:v:67:y:2017:i:c:p:294-299.

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2018Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate. (2018). Soybilgen, Baris ; Yazgan, Ege . In: Economic Modelling. RePEc:eee:ecmode:v:72:y:2018:i:c:p:99-108.

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2017Fiscal sustainability in EMU countries: A continued fiscal commitment?. (2017). Tamarit, Cecilio ; Paniagua, Jordi ; Sapena, Juan. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:50:y:2017:i:c:p:85-97.

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2017A mixed frequency approach to the forecasting of private consumption with ATM/POS data. (2017). Rua, António ; Rodrigues, Paulo ; Duarte, Cláudia. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:61-75.

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2017A wavelet-based multivariate multiscale approach for forecasting. (2017). Rua, António. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:3:p:581-590.

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2019Predictive regressions under asymmetric loss: Factor augmentation and model selection. (2019). Hacioglu Hoke, Sinem ; Demetrescu, Matei. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:80-99.

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2017Soft computing prediction of economic growth based in science and technology factors. (2017). Petkovi, Biljana ; Markovi, Duan ; Nikoli, Vlastimir ; Milovanevi, Milo. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:465:y:2017:i:c:p:217-220.

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2017Application of artificial neural network with extreme learning machine for economic growth estimation. (2017). Milai, Ljubia ; Miljkovi, Jovica ; Vujovi, Tanja . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:465:y:2017:i:c:p:285-288.

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2017Evaluation of trade influence on economic growth rate by computational intelligence approach. (2017). Sokolov-Mladenovi, Svetlana ; Milovanevi, Milos . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:465:y:2017:i:c:p:358-362.

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2017Appraisal of artificial neural network for forecasting of economic parameters. (2017). Jeremi, Ljiljana ; Alizamir, Meysam ; Kordanuli, Bojana ; Barjaktarovi, Lidija . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:465:y:2017:i:c:p:515-519.

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2017Economic growth rate management by soft computing approach. (2017). Jovi, Sran ; Maksimovi, Goran ; Jovanovi, Radomir . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:465:y:2017:i:c:p:520-524.

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2017Evaluation of agriculture and industry effect on economic health by ANFIS approach. (2017). Oki, Aleksandar ; Jovi, Sran. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:479:y:2017:i:c:p:396-399.

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2018Challenges and Vulnerabilities on Public Finance Sustainability. A Romanian Case Study. (2018). Bostan, Ionel ; Gavrilu, Anca Florentina ; Toderacu, Carmen. In: Journal of Risk and Financial Management. RePEc:gam:jjrfmx:v:11:y:2018:i:3:p:55-:d:170306.

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2017A Generalized Factor Model with Local Factors. (2017). Freyaldenhoven, Simon. In: 2017 Papers. RePEc:jmp:jm2017:pfr361.

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2017Dating the Portuguese business cycle. (2017). Rua, Antnio . In: Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies. RePEc:ptu:bdpart:e201703.

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2018Forecasting exports with targeted predictors. (2018). Dias, Francisco ; Loureno, Nuno ; Rua, Antonio. In: Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies. RePEc:ptu:bdpart:e201806.

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2018Customer reviews for demand distribution and sales nowcasting: a big data approach. (2018). , Eric. In: Annals of Operations Research. RePEc:spr:annopr:v:270:y:2018:i:1:d:10.1007_s10479-016-2296-z.

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2017Determining the number of factors after stationary univariate transformations. (2017). Ruiz, Esther ; Poncela, Pilar ; Corona, Francisco. In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1158-5.

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2017Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique. (2017). Markovi, Duan ; Milovanevi, Milo ; Mladenovi, Igor . In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0321-6.

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2017Analyzing of innovations influence on economic growth by fuzzy system. (2017). Mladenovi, Igor ; Sokolov-Mladenovi, Svetlana ; Milovanevi, Milo. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0331-4.

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2017Prediction of economic growth by extreme learning approach based on science and technology transfer. (2017). Karaniki, Petra ; Alizamir, Meysam ; Sokolov-Mladenovi, Svetlana . In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0337-y.

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Works by Maximiano Pinheiro:


YearTitleTypeCited
1996Structural VAR Estimation with Exogeneity Restrictions. In: Oxford Bulletin of Economics and Statistics.
[Citation analysis]
article4
2013Dynamic Factor Models with Jagged Edge Panel Data: Taking on Board the Dynamics of the Idiosyncratic Components In: Oxford Bulletin of Economics and Statistics.
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article6
2009Dynamic factor models with jagged edge panel data: Taking on board the dynamics of the idiosyncratic components.(2009) In: Working Papers.
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This paper has another version. Agregated cites: 6
paper
2013Determining the number of global and country-specific factors in the euro area In: Studies in Nonlinear Dynamics & Econometrics.
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article5
2015Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence In: Economic Modelling.
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article17
2009Sustainable architecture and urban design in Portugal: An overview In: Renewable Energy.
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article2
1989An Econometric Approach to Nonparametric Regression. In: Research Papers by the Institute of Economics and Econometrics, Geneva School of Economics and Management, University of Geneva.
[Citation analysis]
paper0
2010Forecasting using targeted diffusion indexes In: Journal of Forecasting.
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article8
2008Forecasting Using Targeted Diffusion Indexes.(2008) In: Working Papers.
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This paper has another version. Agregated cites: 8
paper
1998Estimation of the output gap: univariate approach In: Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies.
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article1
1999Some reflections on the liquidity trap and conduct of monetary policy under low inflation In: Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies.
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article0
2014Forecasting Portuguese GDP with factor models In: Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies.
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article0
2016A bottom-up approach for forecasting GDP in a data rich environment In: Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies.
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article0
2007MISS: A model for assessing the sustainability of public social security in Portugal In: Working Papers.
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paper2
2003Uncertainty And Risk Analysis Of Macroeconomic Forecasts: Fan Charts Revisited In: Working Papers.
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paper7
2008Determining the number of factors in approximate factor models with global and group-specific factors In: Working Papers.
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paper0
2008On the uncertainty and risks of macroeconomic forecasts: Combining judgements with sample and model information In: Working Papers.
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paper7
2012On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information.(2012) In: Empirical Economics.
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This paper has another version. Agregated cites: 7
article
2010Marginal Distributions of Random Vectors Generated by Affine Transformations of Independent Two-Piece Normal Variables In: Working Papers.
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paper0
2012Market perception of fiscal sustainability: An application to the largest euro area economies In: Working Papers.
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paper2
2018A bottom-up approach for forecasting GDP in a data-rich environment In: Applied Economics Letters.
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article1

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