Pilar Poncela : Citation Profile


Are you Pilar Poncela?

European Commission (80% share)
Universidad Autónoma de Madrid (20% share)

9

H index

9

i10 index

214

Citations

RESEARCH PRODUCTION:

31

Articles

23

Papers

1

Chapters

RESEARCH ACTIVITY:

   23 years (1996 - 2019). See details.
   Cites by year: 9
   Journals where Pilar Poncela has often published
   Relations with other researchers
   Recent citing documents: 50.    Total self citations: 18 (7.76 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/ppo612
   Updated: 2020-08-09    RAS profile: 2020-02-24    
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Relations with other researchers


Works with:

Perez Quiros, Gabriel (5)

Camacho, Maximo (5)

Corona, Francisco (4)

Ruiz, Esther (4)

Pericoli, Filippo Maria (3)

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

Is cited by:

Ferrara, Laurent (6)

Bürgi, Constantin (6)

Marcellino, Massimiliano (5)

Martinez-Martin, Jaime (5)

Guérin, Pierre (5)

Reif, Magnus (5)

Camacho, Maximo (5)

Carstensen, Kai (5)

Clements, Michael (5)

Wolters, Maik (5)

Leiva-Leon, Danilo (4)

Cites to:

Reichlin, Lucrezia (40)

Bai, Jushan (29)

Watson, Mark (28)

Ng, Serena (27)

Forni, Mario (27)

Giannone, Domenico (26)

Lippi, Marco (24)

Perez Quiros, Gabriel (23)

Hallin, Marc (19)

Camacho, Maximo (17)

Diebold, Francis (16)

Main data


Where Pilar Poncela has published?


Journals with more than one article published# docs
International Journal of Forecasting8
Empirical Economics3
Journal of Applied Econometrics2
Applied Economics2
Revista CEPAL2
Statistics & Probability Letters2

Working Papers Series with more than one paper published# docs
DES - Working Papers. Statistics and Econometrics. WS / Universidad Carlos III de Madrid. Departamento de Estadística12
Working Papers / Banco de Espaa4

Recent works citing Pilar Poncela (2020 and 2019)


YearTitle of citing document
2020PCA forecast averaging - predicting day-ahead and intraday electricity prices. (2020). Uniejewski, Bartosz ; Serafin, Tomasz ; Maciejowska, Katarzyna. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2002.

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2020Dynamic Relationship between Oil Price and Inflation in Oil Exporting Economy: Empirical Evidence from Wavelet Coherence Technique. (2020). Adebayo, Tomiwa Sunday. In: Energy Economics Letters. RePEc:asi:eneclt:2020:p:12-22.

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2018Nowcasting Canadian Economic Activity in an Uncertain Environment. (2018). Chernis, Tony ; Sekkel, Rodrigo. In: Discussion Papers. RePEc:bca:bocadp:18-9.

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2020Keeping track of global trade in real time. (2020). Martinez-Martin, Jaime ; Rusticelli, Elena. In: Working Papers. RePEc:bde:wpaper:2019.

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2018The Econometric Analysis of Recurrent Events in Macroeconomics and Finance. (2018). Morley, James. In: The Economic Record. RePEc:bla:ecorec:v:94:y:2018:i:306:p:338-340.

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2017Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators. (2017). Solanko, Laura ; Mikosch, Heiner. In: BOFIT Discussion Papers. RePEc:bof:bofitp:2017_019.

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2017Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle. (2017). Wolters, Maik ; Reif, Magnus ; Carstensen, Kai ; Heinrich, Markus . In: CESifo Working Paper Series. RePEc:ces:ceswps:_6457.

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2020Macroeconomics, Nonlinearities, and the Business Cycle. (2020). Reif, Magnus. In: ifo Beiträge zur Wirtschaftsforschung. RePEc:ces:ifobei:87.

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2017Accurate Subsampling Intervals of Principal Components Factors. (2017). Ruiz, Esther ; de Vicente, Javier . In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:23974.

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2020Global Weakness Index – reading the economy’s vital signs during the COVID-19 crisis. (2020). Quiros, Gabriel Perez ; Perezquiros, Gabriel . In: Research Bulletin. RePEc:ecb:ecbrbu:2020:0072:.

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2020Disaggregated Inflation and Asymmetric Oil Price Pass-Through in Nigeria. (2020). Usman, Nuruddeen ; Shitile, Tersoo Shimonkabir. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2020-01-37.

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2019Importancia de los términos de intercambio en la economía colombiana. (2019). Sierra, Lya Paola ; Oviedo, Andres Felipe. In: Revista CEPAL. RePEc:ecr:col070:44740.

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2019The importance of terms of trade in the Colombian economy. (2019). Sierra, Lya Paola ; Oviedo, Andres Felipe. In: Revista CEPAL. RePEc:ecr:col070:44982.

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2017Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism. (2017). Fuleky, Peter ; Bonham, Carl ; Jones, James ; Hirashima, Ashley . In: Annals of Tourism Research. RePEc:eee:anture:v:63:y:2017:i:c:p:191-202.

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2019Modeling wind power investments, policies and social benefits for deregulated electricity market – A review. (2019). Iniyan, S ; Chinmoy, Lakshmi ; Goic, Ranko. In: Applied Energy. RePEc:eee:appene:v:242:y:2019:i:c:p:364-377.

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2019The evolution of monetary policy effectiveness under macroeconomic instability. (2019). Lopez-Buenache, German. In: Economic Modelling. RePEc:eee:ecmode:v:83:y:2019:i:c:p:221-233.

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2020A robust procedure to build dynamic factor models with cluster structure. (2020). Galeano, Pedro ; Alonso, Andres M ; Pea, Daniel. In: Journal of Econometrics. RePEc:eee:econom:v:216:y:2020:i:1:p:35-52.

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2017Identifying business cycle turning points in real time with vector quantization. (2017). Piger, Jeremy ; Giusto, Andrea. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:174-184.

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2019Google data in bridge equation models for German GDP. (2019). Gotz, Thomas B ; Knetsch, Thomas A. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:45-66.

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2020Five dimensions of the uncertainty–disagreement linkage. (2020). Glas, Alexander. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:607-627.

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2019Estimating the long-run metro demand elasticities for Lisbon: A time-varying approach. (2019). Sobreira, Nuno ; Goulart, Pedro ; Melo, Patricia C. In: Transportation Research Part A: Policy and Practice. RePEc:eee:transa:v:126:y:2019:i:c:p:360-376.

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2019From legislation to compliance: The power of traffic law enforcement for the case study of Spain. (2019). Pedregal, Diego J ; Lopez-Valpuesta, Lourdes ; Castro-Nuo, Mercedes ; Castillo-Manzano, Jose I. In: Transport Policy. RePEc:eee:trapol:v:75:y:2019:i:c:p:1-9.

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2020Estimating the impact of the Penalty Point System on road fatalities in Spain. (2020). Martinez-Perez, Jorge Eduardo ; Martinez-Gabaldon, Eduardo. In: Transport Policy. RePEc:eee:trapol:v:86:y:2020:i:c:p:1-8.

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2019Dynamic specification tests for dynamic factor models. (2019). Sentana, Enrique ; Fiorentini, Gabriele. In: Econometrics Working Papers Archive. RePEc:fir:econom:wp2018_07.

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2019Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case. (2019). Farrokhabadi, Mostafa. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:12:p:2228-:d:238996.

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2020Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models. (2020). Ratanavaraha, Vatanavongs ; Uttra, Savalee ; Jomnonkwao, Sajjakaj . In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:1:p:395-:d:305012.

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2019Dynamic Factor Models. (2019). Fuleky, Peter ; Doz, Catherine . In: Working Papers. RePEc:hae:wpaper:2019-4.

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2019Dynamic Factor Models. (2019). Fuleky, Peter ; Doz, Catherine . In: PSE Working Papers. RePEc:hal:psewpa:halshs-02262202.

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2020Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model. (2020). Ferrara, Laurent ; Doz, Catherine ; Pionnier, Pierre-Alain. In: PSE Working Papers. RePEc:hal:psewpa:halshs-02443364.

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2019Dynamic Factor Models. (2019). Fuleky, Peter ; Doz, Catherine. In: Working Papers. RePEc:hal:wpaper:halshs-02262202.

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2020Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model. (2020). Pionnier, Pierre-Alain ; Ferrara, Laurent ; Doz, Catherine. In: Working Papers. RePEc:hal:wpaper:halshs-02443364.

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2019A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles. (2019). Huang, Meichi. In: Computational Economics. RePEc:kap:compec:v:53:y:2019:i:4:d:10.1007_s10614-018-9822-9.

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2019Some International Evidence on Double-Dip Recession. (2019). Maggs, Gary E ; Kyer, Ben L. In: International Advances in Economic Research. RePEc:kap:iaecre:v:25:y:2019:i:3:d:10.1007_s11294-019-09747-2.

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2019Oil Price Pass-through on Domestic Inflation: Oil Importing Versus Oil Exporting Countries. (2019). Chu, Jenq Fei ; Ari, Kivan Halil ; Sek, Siok Kun. In: Journal of Reviews on Global Economics. RePEc:lif:jrgelg:v:8:y:2019:p:604-610.

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2019Extracting global factors from local yield curves. (2019). Stagnol, Lauren. In: Journal of Asset Management. RePEc:pal:assmgt:v:20:y:2019:i:5:d:10.1057_s41260-019-00126-4.

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2017Nowcasting Slovak GDP by a Small Dynamic Factor Model. (2017). Tóth, Peter ; Toth, Peter . In: MPRA Paper. RePEc:pra:mprapa:77245.

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2018A Factor Model Analysis of the Effects on Inflation Targeting on the Australian Economy. (2018). Hartigan, Luke ; Morley, James. In: RBA Annual Conference Volume. RePEc:rba:rbaacv:acv2018-07.

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2019Smeed’s law and the role of hospitals in modeling traffic accidents and fatalities in Japan. (2019). Fukushige, Mototsugu ; Lu, Yueh-Tzu . In: Asia-Pacific Journal of Regional Science. RePEc:spr:apjors:v:3:y:2019:i:2:d:10.1007_s41685-018-0097-x.

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2017The role of indicator selection in nowcasting euro-area GDP in pseudo-real time. (2017). Golinelli, Roberto ; Pappalardo, Carmine ; Girardi, Alessandro. In: Empirical Economics. RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1151-z.

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2020Business cycle dating and forecasting with real-time Swiss GDP data. (2020). Glocker, Christian ; Wegmueller, Philipp. In: Empirical Economics. RePEc:spr:empeco:v:58:y:2020:i:1:d:10.1007_s00181-019-01666-9.

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2020Using local learning with fuzzy transform: application to short term forecasting problems. (2020). Gao, Jinwu ; Vaccaro, Alfredo ; Tomasiello, Stefania ; Loia, Vincenzo. In: Fuzzy Optimization and Decision Making. RePEc:spr:fuzodm:v:19:y:2020:i:1:d:10.1007_s10700-019-09311-x.

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2018Large Shocks and the Business Cycle: The Effect of Outlier Adjustments. (2018). Ohtsuka, Yoshihiro. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:14:y:2018:i:1:d:10.1007_s41549-018-0027-z.

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2017Macroeconomic Modelling and Bayesian Methods. (2017). Dua, Pami. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:15:y:2017:i:2:d:10.1007_s40953-017-0077-4.

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2019Nowcasting Using Mixed Frequency Methods: An Application to the Scottish Economy. (2019). Koop, Gary ; Allan, Grant ; Smith, Paul ; McIntyre, Stuart. In: Sankhya B: The Indian Journal of Statistics. RePEc:spr:sankhb:v:81:y:2019:i:1:d:10.1007_s13571-018-0181-2.

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2019A Factor Model Analysis of the Australian Economy and the Effects of Inflation Targeting. (2019). Morley, James ; Hartigan, Luke. In: Working Papers. RePEc:syd:wpaper:2019-10.

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2017Business Cycle Dating and Forecasting with Real-time Swiss GDP Data. (2017). Wegmueller, Philipp ; Glocker, Christian ; Wegmuller, Philipp. In: WIFO Working Papers. RePEc:wfo:wpaper:y:2017:i:542.

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2018Contribution of the Austrian Governments Financial Market Interventions by HETA Asset Resolution AG to the Stabilisation of the Austrian Financial Market. (2018). Scheiblecker, Marcus ; Pekanov, Atanas ; Kaniovski, Serguei ; Glocker, Christian. In: WIFO Studies. RePEc:wfo:wstudy:60979.

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2020Recession probabilities falling from the STARs. (2020). Noller, Marvin ; Eraslan, Sercan. In: Discussion Papers. RePEc:zbw:bubdps:082020.

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2017Google data in bridge equation models for German GDP. (2017). Knetsch, Thomas ; Götz, Thomas ; Gotz, Thomas B. In: Discussion Papers. RePEc:zbw:bubdps:182017.

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2017Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle. (2017). Wolters, Maik ; Reif, Magnus ; Carstensen, Kai ; Heinrich, Markus . In: Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking. RePEc:zbw:vfsc17:168206.

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Works by Pilar Poncela:


YearTitleTypeCited
2010Green shoots in the euro area. A real time measure In: Working Papers.
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paper8
2012Extracting non-linear signals from several economic indicators In: Working Papers.
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paper17
2012Extracting nonlinear signals from several economic indicators.(2012) In: CEPR Discussion Papers.
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This paper has another version. Agregated cites: 17
paper
2015Extracting Nonlinear Signals from Several Economic Indicators.(2015) In: Journal of Applied Econometrics.
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This paper has another version. Agregated cites: 17
article
2012Markov-switching dynamic factor models in real time In: Working Papers.
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paper27
2012Markov-switching dynamic factor models in real time.(2012) In: CEPR Discussion Papers.
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This paper has another version. Agregated cites: 27
paper
2018Markov-switching dynamic factor models in real time.(2018) In: International Journal of Forecasting.
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article
2013Short-term forecasting for empirical economists. A survey of the recently proposed algorithms In: Working Papers.
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paper17
2013Short-term Forecasting for Empirical Economists: A Survey of the Recently Proposed Algorithms.(2013) In: Foundations and Trends(R) in Econometrics.
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article
1998Measuring Intervention Effects on Multiple Time Series Subjected to Linear Restrictions: A Banking Example. In: Journal of Business & Economic Statistics.
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1997Measuring intervention effects on multiplie time series subjected to linear restrictions: A Banking Example.(1997) In: DES - Working Papers. Statistics and Econometrics. WS.
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This paper has another version. Agregated cites: 0
paper
2012Green Shoots and Double Dips in the Euro Area. A Real Time Measure In: CEPR Discussion Papers.
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paper17
2014Green shoots and double dips in the euro area: A real time measure.(2014) In: International Journal of Forecasting.
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article
1996Pooling information and forecasting with dynamic factor analysis In: DES - Working Papers. Statistics and Econometrics. WS.
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2017Estimating non-stationary common factors : Implications for risk sharing In: DES - Working Papers. Statistics and Econometrics. WS.
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2020Estimating Non-stationary Common Factors: Implications for Risk Sharing.(2020) In: Computational Economics.
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This paper has another version. Agregated cites: 0
article
1997Data graduation based on statistical time series methods In: DES - Working Papers. Statistics and Econometrics. WS.
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paper3
2001Data graduation based on statistical time series methods.(2001) In: Statistics & Probability Letters.
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1997Eigenstructure of nonstationary factor models In: DES - Working Papers. Statistics and Econometrics. WS.
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2000Forecasting with nostationary dynamic factor models In: DES - Working Papers. Statistics and Econometrics. WS.
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2004Forecasting with nonstationary dynamic factor models.(2004) In: Journal of Econometrics.
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article
2002Forecasting monthly us consumer price indexes through a disaggregated I(2) analysis In: DES - Working Papers. Statistics and Econometrics. WS.
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paper6
2012Sparse partial least squares in time series for macroeconomic forecasting In: DES - Working Papers. Statistics and Econometrics. WS.
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paper5
2015Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting.(2015) In: Journal of Applied Econometrics.
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article
2012More is not always better : back to the Kalman filter in dynamic factor models In: DES - Working Papers. Statistics and Econometrics. WS.
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2014Selecting and combining experts from survey forecasts In: DES - Working Papers. Statistics and Econometrics. WS.
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2015Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment In: DES - Working Papers. Statistics and Econometrics. WS.
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2016Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment.(2016) In: Advances in Econometrics.
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chapter
2016Determining the number of factors after stationary univariate transformations In: DES - Working Papers. Statistics and Econometrics. WS.
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2017Determining the number of factors after stationary univariate transformations.(2017) In: Empirical Economics.
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2014México: la combinación de las predicciones mensuales de inflación mediante encuestas In: Revista CEPAL.
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2014Mexico: Combining monthly inflation predictions from surveys In: Revista CEPAL.
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2013Automatic tuning of Kalman filters by maximum likelihood methods for wind energy forecasting In: Applied Energy.
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article12
2004Time series analysis by state space methods: J. Durbin and S.J. Koopman, Oxford Statistical Series 24, 2001, Oxford University Press, ISBN 0-19-852354-8, 254 pages, price: [UK pound]36.00 (hardback) In: International Journal of Forecasting.
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2005Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models In: International Journal of Forecasting.
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article8
2005Introduction to nonlinearities, business cycles, and forecasting In: International Journal of Forecasting.
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article1
2006Forecasting traffic accidents using disaggregated data In: International Journal of Forecasting.
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article4
2011Forecast combination through dimension reduction techniques In: International Journal of Forecasting.
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2011Forecast combination through dimension reduction techniques.(2011) In: International Journal of Forecasting.
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2016Choosing a dynamic common factor as a coincident index In: Statistics & Probability Letters.
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2010Green Shoots? Where, when and how? In: Working Papers.
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2014Some New Results on the Estimation of Structural Budget Balance for Spain In: Hacienda Pública Española / Review of Public Economics.
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article4
2016Risk Sharing in Europe In: JRC Working Papers.
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paper2
2002Forecasting European GNP Data through Common Factor Models and Other Procedures. In: Journal of Forecasting.
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article4
2018New Risk Sharing Channels in OECD Countries: a Heterogeneous Panel VAR In: Working Papers.
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2017Automatic Signal Extraction for Stationary and Non-Stationary Time Series by Circulant SSA In: MPRA Paper.
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2019A Review of International Risk Sharing for Policy Analysis In: East Asian Economic Review.
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2017Long-term links between raw materials prices, real exchange rate and relative de-industrialization in a commodity-dependent economy: empirical evidence of “Dutch disease” in Colombia In: Empirical Economics.
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2017Measuring uncertainty and assessing its predictive power in the euro area In: Empirical Economics.
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article2
2017A new look at oil price pass-through into inflation: evidence from disaggregated European data In: Economia Politica: Journal of Analytical and Institutional Economics.
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2006A two factor model to combine US inflation forecasts In: Applied Economics.
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2014Common dynamics of nonenergy commodity prices and their relation to uncertainty In: Applied Economics.
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2006Demand Forecast and Elasticities Estimation of Public Transport In: Journal of Transport Economics and Policy.
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2007The relationship between road traffic accidents and real economic activity in spain: common cycles and health issues In: Health Economics.
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article13
2014The Effects of Disaggregation on Forecasting Nonstationary Time Series In: Journal of Forecasting.
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