Christian Schumacher : Citation Profile

Are you Christian Schumacher?

Deutsche Bundesbank

17

H index

22

i10 index

1301

Citations

RESEARCH PRODUCTION:

17

Articles

25

Papers

RESEARCH ACTIVITY:

   19 years (2000 - 2019). See details.
   Cites by year: 68
   Journals where Christian Schumacher has often published
   Relations with other researchers
   Recent citing documents: 84.    Total self citations: 21 (1.59 %)

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   Permalink: http://citec.repec.org/psc237
   Updated: 2023-11-04    RAS profile: 2019-05-10    
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Relations with other researchers

Works with:

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

Is cited by:

Marcellino, Massimiliano (65)

Wohlrabe, Klaus (38)

Foroni, Claudia (38)

Rua, António (30)

Ferrara, Laurent (30)

Guérin, Pierre (28)

Scheufele, Rolf (26)

Lehmann, Robert (25)

Siliverstovs, Boriss (24)

Heinisch, Katja (23)

Baumeister, Christiane (20)

Cites to:

Marcellino, Massimiliano (95)

Reichlin, Lucrezia (91)

Giannone, Domenico (62)

Ng, Serena (49)

Lippi, Marco (48)

Forni, Mario (48)

Watson, Mark (44)

Hallin, Marc (35)

Boivin, Jean (33)

Stock, James (28)

Galvão, Ana (24)

Main data

Where Christian Schumacher has published?

Journals with more than one article published# docs
International Journal of Forecasting4
Journal of Forecasting2
Journal of Applied Econometrics2

Working Papers Series with more than one paper published# docs
Discussion Paper Series 1: Economic Studies / Deutsche Bundesbank8
CEPR Discussion Papers / C.E.P.R. Discussion Papers4
Discussion Papers / Deutsche Bundesbank3
Economics Working Papers / European University Institute3
Discussion Paper Series / Hamburg Institute of International Economics2
HWWA Discussion Papers / Hamburg Institute of International Economics (HWWA)2

Recent works citing Christian Schumacher (2023 and 2022)

YearTitle of citing document
2023Deep Dynamic Factor Models. (2020). Ricco, Giovanni ; Izzo, Cosimo ; Andreini, Paolo. In: Papers. RePEc:arx:papers:2007.11887.

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2022Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions. (2021). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2102.11780.

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2022Sparse Temporal Disaggregation. (2021). Gibberd, Alex ; Eckley, Idris ; Mosley, Luke . In: Papers. RePEc:arx:papers:2108.05783.

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2022Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis. (2022). Hopp, Daniel. In: Papers. RePEc:arx:papers:2203.11872.

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2022Benchmarking Econometric and Machine Learning Methodologies in Nowcasting. (2022). Hopp, Daniel. In: Papers. RePEc:arx:papers:2205.03318.

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2022Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis. (2022). Yu, Xuewen ; Eisenstat, Eric ; Chan, Joshua. In: Papers. RePEc:arx:papers:2207.03988.

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2022Comparing Stochastic Volatility Specifications for Large Bayesian VARs. (2022). , Joshua. In: Papers. RePEc:arx:papers:2208.13255.

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2022Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP. (2022). Zhu, Dan ; Rossini, Luca ; Poon, Aubrey ; Iacopini, Matteo. In: Papers. RePEc:arx:papers:2209.01910.

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2023Bayesian Modeling of Time-varying Parameters Using Regression Trees. (2022). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2209.11970.

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2022Unit Averaging for Heterogeneous Panels. (2022). Morozov, Vladislav ; Brownlees, Christian. In: Papers. RePEc:arx:papers:2210.14205.

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2023Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data. (2022). Ortega, Juan-Pablo ; van Huellen, Sophie ; Hirt, Marcel ; Grigoryeva, Lyudmila ; Dellaportas, Petros ; Ballarin, Giovanni. In: Papers. RePEc:arx:papers:2211.00363.

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2022Cover It Up! Bipartite Graphs Uncover Identifiability in Sparse Factor Analysis. (2022). Fruhwirth-Schnatter, Sylvia ; Hosszejni, Darjus. In: Papers. RePEc:arx:papers:2211.00671.

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2023When it counts -- Econometric identification of the basic factor model based on GLT structures. (2023). Lopes, Hedibert Freitas ; Hosszejni, Darjus ; Fruhwirth-Schnatter, Sylvia. In: Papers. RePEc:arx:papers:2301.06354.

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2023Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2023). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2023High-Dimensional Conditionally Gaussian State Space Models with Missing Data. (2023). Zhu, Dan ; Poon, Aubrey. In: Papers. RePEc:arx:papers:2302.03172.

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2023Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis. (2023). Fruhwirth-Schnatter, Sylvia. In: Papers. RePEc:arx:papers:2303.00473.

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2023GDP nowcasting with artificial neural networks: How much does long-term memory matter?. (2023). Hadh, D'Aniel. In: Papers. RePEc:arx:papers:2304.05805.

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2023Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification. (2023). Marcellino, Massimiliano ; Huber, Florian. In: Papers. RePEc:arx:papers:2304.07856.

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2023Band-Pass Filtering with High-Dimensional Time Series. (2023). Proietti, Tommaso ; Lippi, Marco ; Giovannelli, Alessandro. In: Papers. RePEc:arx:papers:2305.06618.

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2023Nowcasting with signature methods. (2023). Mantoan, Giulia ; Malpass, Will ; Lui, Silvia ; Cohen, Samuel N ; Yang, Lingyi ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Nesheim, Lars. In: Papers. RePEc:arx:papers:2305.10256.

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2023Panel Data Nowcasting: The Case of Price-Earnings Ratios. (2023). Striaukas, Jonas ; Ghysels, Eric ; Ball, Ryan T ; Babii, Andrii. In: Papers. RePEc:arx:papers:2307.02673.

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2022Nowcasting Brazilian GDP with Electronic Payments Data. (2022). Cesar, Raquel Nadal. In: Working Papers Series. RePEc:bcb:wpaper:564.

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2022Estimation of the Impact of Global Shocks on the Russian Economy and GDP Nowcasting Using a Factor Model. (2022). Lomonosov, Daniil ; Zubarev, Andrey ; Rybak, Konstantin. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:81:y:2022:i:2:p:49-78.

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2022Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay. (2022). Alvarez, Santiago Etchegaray. In: Documentos de trabajo. RePEc:bku:doctra:2022004.

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2023Forecasting models for the Chinese macroeconomy in a data?rich environment: Evidence from large dimensional approximate factor models with mixed?frequency data. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Accounting and Finance. RePEc:bla:acctfi:v:63:y:2023:i:1:p:719-767.

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2022Sparse temporal disaggregation. (2022). Gibberd, Alex ; Eckley, Idris A ; Mosley, Luke. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:185:y:2022:i:4:p:2203-2233.

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2022Seismonomics: Listening to the heartbeat of the economy. (2022). Tiozzo Pezzoli, Luca ; Tosetti, Elisa. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:185:y:2022:i:s2:p:s288-s309.

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2022Constructing GDP Nowcasting Models Using Alternative Data. (2022). Nakazawa, Takashi. In: Bank of Japan Working Paper Series. RePEc:boj:bojwps:wp22e09.

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2022Imputing Monthly Values for Quarterly Time Series. An Application Performed with Swiss Business Cycle Data. (2022). Siliverstovs, Boriss ; Muller, Oliver ; Graff, Michael ; Abberger, Klaus. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10191.

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2023Estimation of the TFP Gap for the Largest Five EMU Countries. (2023). Rossian, Thies ; Kiessner, Felix ; Carstensen, Kai. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10245.

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2022Forecasting Regional Industrial Production with High-Frequency Electricity Consumption Data. (2022). Mohrle, Sascha ; Lehmann, Robert. In: CESifo Working Paper Series. RePEc:ces:ceswps:_9917.

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2022Nowcasting GDP using machine learning methods. (2022). Kant, Dennis ; Pick, Andreas ; de Winter, Jasper. In: Working Papers. RePEc:dnb:dnbwpp:754.

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2023Nowcasting GDP using tone-adjusted time varying news topics: Evidence from the financial press. (2023). de Winter, Jasper ; van Dijk, Dorinth. In: Working Papers. RePEc:dnb:dnbwpp:766.

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2023Nowcasting employment in the euro area. (2023). Toth, Mate Barnabas ; Bodnar, Katalin ; Belousova, Irina ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20232815.

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2022Analyzing and forecasting Thai macroeconomic data using mixed-frequency approach. (2022). Wichitaksorn, Nuttanan. In: Journal of Asian Economics. RePEc:eee:asieco:v:78:y:2022:i:c:s1049007821001494.

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2022Real-time macroeconomic monitoring using mixed frequency data: Evidence from China. (2022). Xue, Rui ; Ge, Chanyuan ; He, Jie ; Zhang, Wei. In: Economic Modelling. RePEc:eee:ecmode:v:117:y:2022:i:c:s0264999322003054.

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2023Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Economic Modelling. RePEc:eee:ecmode:v:122:y:2023:i:c:s0264999323000160.

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2022Nowcasting with large Bayesian vector autoregressions. (2022). Monti, Francesca ; Lenza, Michele ; Giannone, Domenico ; Cimadomo, Jacopo ; Sokol, Andrej. In: Journal of Econometrics. RePEc:eee:econom:v:231:y:2022:i:2:p:500-519.

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2023Nowcasting the output gap. (2023). Wong, Benjamin ; Morley, James ; Berger, Tino. In: Journal of Econometrics. RePEc:eee:econom:v:232:y:2023:i:1:p:18-34.

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2022Forecasting oil prices: New approaches. (2022). de Albuquerquemello, Vinicius Phillipe ; de Jesus, Diego Pitta ; da Nobrega, Cassio ; de Medeiros, Rennan Kertlly. In: Energy. RePEc:eee:energy:v:238:y:2022:i:pc:s0360544221022167.

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2022The Russia-Ukraine conflict and volatility risk of commodity markets. (2022). Shao, Zhiquan ; Fang, YI. In: Finance Research Letters. RePEc:eee:finlet:v:50:y:2022:i:c:s154461232200455x.

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2022Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York. (2022). Lahiri, Kajal ; Yang, Cheng. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:545-566.

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2022Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis. (2022). Stevanovic, Dalibor ; Marcellino, Massimiliano ; Foroni, Claudia. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:596-612.

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2023Daily news sentiment and monthly surveys: A mixed-frequency dynamic factor model for nowcasting consumer confidence. (2023). Verbeken, Brecht ; Boudt, Kris ; Borms, Samuel ; Algaba, Andres. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:266-278.

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2023Nowcasting German GDP: Foreign factors, financial markets, and model averaging. (2023). Senftleben-Konig, Charlotte ; Reichlin, Lucrezia ; Hasenzagl, Thomas ; Andreini, Paolo ; Strohsal, Till. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:298-313.

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2022Forecasting economic activity using preselected predictors: the case of Cyprus. (2022). Pashourtidou, Nicoletta ; Anaxagorou, Christiana. In: Cyprus Economic Policy Review. RePEc:erc:cypepr:v:16:y:2022:i:1:p:11-36.

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2023Bayesian Modeling of Time-Varying Parameters Using Regression Trees. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko. In: Working Papers. RePEc:fip:fedcwq:95470.

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2023.

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2022Chinese Economic Growth Projections Based on Mixed Data of Carbon Emissions under the COVID-19 Pandemic. (2022). Zheng, Binbin ; Huang, Juan ; Liu, Tao ; Xie, Luze ; Fu, Rong. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:24:p:16762-:d:1003229.

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2022Nowcasting real GDP in Tunisia using large datasets and mixed-frequency models. (2022). Benlallouna, Brahim Mehdi ; ben Rhomdhane, Hagher. In: IHEID Working Papers. RePEc:gii:giihei:heidwp02-2022.

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2022Identifying and interpreting the factors in factor models via sparsity : Different approaches. (2022). Doz, Catherine ; Despois, Thomas. In: PSE Working Papers. RePEc:hal:psewpa:halshs-03626503.

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2022Identifying and interpreting the factors in factor models via sparsity : Different approaches. (2022). Doz, Catherine ; Despois, Thomas. In: Working Papers. RePEc:hal:wpaper:halshs-03626503.

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2022Forecasting GDP growth using stock returns in Japan: A factor-augmented MIDAS approach. (2022). Morita, Hiroshi. In: Discussion paper series. RePEc:hit:hiasdp:hias-e-118.

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2022Quantum Computing and Deep Learning Methods for GDP Growth Forecasting. (2022). Fernandez-Gamez, Manuel A ; Salas, Belen M ; Alaminos, David. In: Computational Economics. RePEc:kap:compec:v:59:y:2022:i:2:d:10.1007_s10614-021-10110-z.

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2022Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model. (2022). Kohns, David ; Bhattacharjee, Arnab. In: National Institute of Economic and Social Research (NIESR) Discussion Papers. RePEc:nsr:niesrd:538.

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2022Commodity risk in European dairy firms. (2022). Kearney, Fearghal ; Dowling, Michael ; Cummins, Mark ; Bagnarosa, Guillaume. In: European Review of Agricultural Economics. RePEc:oup:erevae:v:49:y:2022:i:1:p:151-181..

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2022Big data forecasting of South African inflation. (2022). Steenkamp, Daan ; Rankin, Neil ; Kotze, Kevin ; Botha, Byron ; Burger, Rulof. In: Working Papers. RePEc:rbz:wpaper:11022.

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2023Application of Markov-Switching MIDAS models to nowcasting of GDP and its components. (2023). Stankevich, Ivan. In: Applied Econometrics. RePEc:ris:apltrx:0474.

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2023Band-Pass Filtering with High-Dimensional Time Series. (2023). Proietti, Tommaso ; Lippi, Marco ; Giovannelli, Alessandro. In: CEIS Research Paper. RePEc:rtv:ceisrp:559.

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2023Hybrid ARDL-MIDAS-Transformer time-series regressions for multi-topic crypto market sentiment driven by price and technology factors. (2023). Ames, Matthew ; Peters, Gareth W ; Chalkiadakis, Ioannis. In: Digital Finance. RePEc:spr:digfin:v:5:y:2023:i:2:d:10.1007_s42521-023-00079-9.

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2022Macroeconometric forecasting using a cluster of dynamic factor models. (2022). Glocker, Christian ; Kaniovski, Serguei. In: Empirical Economics. RePEc:spr:empeco:v:63:y:2022:i:1:d:10.1007_s00181-021-02129-w.

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2023Economic forecasting in a pandemic: some evidence from Singapore. (2023). Choy, Keen Meng ; Chow, Hwee Kwan. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:5:d:10.1007_s00181-022-02311-8.

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2023Forecasting GDP with many predictors in a small open economy: forecast or information pooling?. (2023). Han, Daniel ; Fei, Yijie ; Chow, Hwee Kwan. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-022-02356-9.

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2023The Forecasting Power of the ifo Business Survey. (2023). Lehmann, Robert. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:19:y:2023:i:1:d:10.1007_s41549-022-00079-5.

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2023Time varying dynamics of globalization effect in India. (2023). Kumar, Nand ; Gupta, Shikha. In: Portuguese Economic Journal. RePEc:spr:portec:v:22:y:2023:i:1:d:10.1007_s10258-020-00190-4.

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2023Mixed frequency composite indicators for measuring public sentiment in the EU. (2023). Scepi, Germana ; Spano, Maria ; Misuraca, Michelangelo ; Mattera, Raffaele. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01468-9.

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2023The D-model for GDP nowcasting. (2023). Degiannakis, Stavros. In: Swiss Journal of Economics and Statistics. RePEc:spr:sjecst:v:159:y:2023:i:1:d:10.1186_s41937-023-00109-8.

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2022A Flexible Predictive Density Combination for Large Financial Data Sets in Regular and Crisis Periods. (2022). van Dijk, Herman K ; Ravazzolo, Francesco ; Grassi, Stefano ; Casarin, Roberto. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20220053.

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2022Forecasting Domestic Tourism across Regional Destinations through MIDAS Regressions.. (2022). Zoia, Maria Grazia ; Osti, Linda ; Nava, Consuelo R. In: Department of Economics and Statistics Cognetti de Martiis. Working Papers. RePEc:uto:dipeco:202207.

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2022Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM). (2022). Daniel, Hopp. In: Journal of Official Statistics. RePEc:vrs:offsta:v:38:y:2022:i:3:p:847-873:n:8.

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2022Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions. (2022). Miranda-Agrippino, Silvia ; Mirandaagrippino, Silvia ; Galvo, Ana Beatriz ; Anesti, Nikoleta. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:37:y:2022:i:1:p:42-62.

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2022News media versus FRED?MD for macroeconomic forecasting. (2022). Thorsrud, Leif Anders ; Larsen, Vegard H ; Ellingsen, Jon. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:37:y:2022:i:1:p:63-81.

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2022Forecasting low?frequency macroeconomic events with high?frequency data. (2022). Owyang, Michael ; Galvo, Ana Beatriz. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:37:y:2022:i:7:p:1314-1333.

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2023Real?time macroeconomic projection using narrative central bank communication. (2023). Chen, Liangyuan ; Zhang, Yifan ; Fan, Jiacheng ; Lin, Jianhao. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:2:p:202-221.

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2023Identifying and interpreting the factors in factor models via sparsity: Different approaches. (2023). Doz, Catherine ; Despois, Thomas. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:4:p:533-555.

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2023Subspace shrinkage in conjugate Bayesian vector autoregressions. (2023). Koop, Gary ; Huber, Florian. In: Journal of Applied Econometrics. RePEc:wly:japmet:v:38:y:2023:i:4:p:556-576.

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2022Forecasting expected shortfall and value at risk with a joint elicitable mixed data sampling model. (2022). Liu, Yezheng ; Jiang, Cuixia ; Chen, LU ; Xu, Qifa. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:3:p:407-421.

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2022Mixed data sampling regression: Parameter selection of smoothed least squares estimator. (2022). Mnsson, Kristofer ; Ozbay, Nimet ; Toker, Selma. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:4:p:718-751.

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2022Nowcasting world GDP growth with high?frequency data. (2022). Meunier, Baptiste ; Jardet, Caroline. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:6:p:1181-1200.

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2022The role of investor sentiment in forecasting housing returns in China: A machine learning approach. (2022). GUPTA, RANGAN ; Onay, Yigit ; Cepni, Oguzhan. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:8:p:1725-1740.

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2023Nowcasting inflation with Lasso?regularized vector autoregressions and mixed frequency data. (2023). Tancioni, Massimiliano ; Ciganovic, Milos ; Aliaj, Tesi. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:3:p:464-480.

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2022Real-time nowcasting with sparse factor models. (2022). Hauber, Philipp. In: EconStor Preprints. RePEc:zbw:esprep:251551.

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Works by Christian Schumacher:

YearTitleTypeCited
2000Forecasting Trend Output in the Euro Area In: Discussion Paper Series.
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2002Forecasting Trend Output in the Euro Area..(2002) In: Journal of Forecasting.
[Citation analysis]
This paper has another version. Agregated cites: 6		article
2000Forecasting trend output in the Euro area.(2000) In: HWWA Discussion Papers.
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This paper has another version. Agregated cites: 6		paper
2002Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? In: Discussion Paper Series.
[Full Text][Citation analysis]		paper27
2002Estimating large-scale factor models for economic activity in Germany: Do they outperform simpler models?.(2002) In: HWWA Discussion Papers.
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This paper has another version. Agregated cites: 27		paper
2015Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials In: Journal of the Royal Statistical Society Series A.
[Full Text][Citation analysis]		article125
2010Factor MIDAS for Nowcasting and Forecasting with Ragged?Edge Data: A Model Comparison for German GDP In: Oxford Bulletin of Economics and Statistics.
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2008Factor-MIDAS for now- and forecasting with ragged-edge data: A model comparison for German GDP In: CEPR Discussion Papers.
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2008Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP.(2008) In: Economics Working Papers.
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This paper has another version. Agregated cites: 44		paper
2007Factor-MIDAS for now- and forecasting with ragged-edge data: a model comparison for German GDP.(2007) In: Discussion Paper Series 1: Economic Studies.
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This paper has another version. Agregated cites: 44		paper
2009Pooling versus model selection for nowcasting with many predictors: An application to German GDP In: CEPR Discussion Papers.
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2009Pooling versus Model Selection for Nowcasting with Many Predictors: An Application to German GDP.(2009) In: Economics Working Papers.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 21		paper
2009Pooling versus model selection for nowcasting with many predictors: an application to German GDP.(2009) In: Discussion Paper Series 1: Economic Studies.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 21		paper
2009MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area In: CEPR Discussion Papers.
[Full Text][Citation analysis]		paper196
2011MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area.(2011) In: International Journal of Forecasting.
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This paper has another version. Agregated cites: 196		article
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