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2. Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence. (2017). Scheufele, Rolf ; Heinisch, Katja.
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3. Nowcasting des deutschen BIP. (2017). Hamella, Sandra ; Volkenand, Jonas ; Rosenthal, Beatrice ; Doll, Jens .
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4. Mixed-frequency models for tracking short-term economic developments in Switzerland. (2017). Scheufele, Rolf ; Hepenstrick, Christian ; Galli, Alain ; Alain, Rolf Scheufele .
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5. Forecasting Economic Aggregates Using Dynamic Component Grouping. (2017). Cobb, Marcus.
   In: MPRA Paper.
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6. Joint Forecast Combination of Macroeconomic Aggregates and Their Components. (2017). Cobb, Marcus.
   In: MPRA Paper.
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7. A real-time analysis on the importance of hard and soft data for nowcasting German GDP. (2016). Heinisch, Katja.
   In: Annual Conference 2016 (Augsburg): Demographic Change.
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8. Forecasting Turkish GDP Growth : Bottom-Up vs Direct?. (2016). Gunay, Mahmut.
   In: CBT Research Notes in Economics.
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9. Foreign PMIs: A reliable indicator for exports?. (2016). Scheufele, Rolf ; Hanslin Grossmann, Sandra.
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10. A comparison of MIDAS and bridge equations. (2016). Schumacher, Christian.
    In: International Journal of Forecasting.
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11. Survey-based indicators vs. hard data: What improves export forecasts in Europe?. (2015). Lehmann, Robert.
    In: Annual Conference 2015 (Muenster): Economic Development - Theory and Policy.
    RePEc:zbw:vfsc15:112847.

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12. Foreign PMIs: A reliable indicator for Swiss exports. (2015). Scheufele, Rolf ; Hanslin Grossmann, Sandra.
    In: Annual Conference 2015 (Muenster): Economic Development - Theory and Policy.
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13. Survey-based indicators vs. hard data: What improves export forecasts in Europe?. (2015). Lehmann, Robert.
    In: ERSA conference papers.
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14. Survey-based indicators vs. hard data: What improves export forecasts in Europe?. (2015). Lehmann, Robert.
    In: ifo Working Paper Series.
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15. Assessing the Macroeconomic Forecasting Performance of Boosting: Evidence for the United States, the Euro Area, and Germany. (2014). Wohlrabe, Klaus ; Teresa, Buchen .
    In: Annual Conference 2014 (Hamburg): Evidence-based Economic Policy.
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16. MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area. (2014). Schumacher, Christian.
    In: Annual Conference 2014 (Hamburg): Evidence-based Economic Policy.
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17. Analysing and forecasting price dynamics across euro area countries and sectors: A panel VAR approach. (2014). Güntner, Jochen ; Dees, Stephane ; Gntner, Jochen ; Des, Stphane .
    In: Economics working papers.
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18. Analysing and forecasting price dynamics across euro area countries and sectors: a panel VAR approach. (2014). Güntner, Jochen ; Dees, Stephane ; Guntner, Jochen.
    In: Working Paper Series.
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19. GDP Forecasting Bias due to Aggregation Inaccuracy in a Chain- Linking Framework. (2014). Cobb, Marcus.
    In: Working Papers Central Bank of Chile.
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20. Forecasting GDP at the regional level with many predictors. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
    In: ERSA conference papers.
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21. Sectoral gross value-added forecasts at the regional level: Is there any information gain?. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
    In: MPRA Paper.
    RePEc:pra:mprapa:46765.

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22. Forecasting GDP at the regional level with many predictors. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
    In: Discussion Papers in Economics.
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23. Labour market forecasting : is disaggregation useful?. (2013). Zika, Gerd ; Weber, Enzo.
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24. Now-Casting and the Real-Time Data Flow. (2013). Babura, Marta ; Reichlin, Lucrezia ; Modugno, Michele ; Giannone, Domenico.
    In: Handbook of Economic Forecasting.
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25. Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
    In: ifo Working Paper Series.
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26. Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany. (2013). Wohlrabe, Klaus ; Buchen, Teresa.
    In: CESifo Working Paper Series.
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27. Forecasting GDP at the Regional Level with Many Predictors. (2012). Wohlrabe, Klaus ; Lehmann, Robert.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_3956.

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1. On business cycle forecasting. (2020). , Eric ; Lai, Huiwen.
   In: Frontiers of Business Research in China.
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2. Mixed Sampling Panel Data Model for Regional Job Vacancies Forecasting. (2017). .
   In: Eco-Economics Review.
   RePEc:eub:ecoecr:v:3:y:2017:i:1:p:3-20.

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3. Mixed Sampling Panel Data Model for Regional Job Vacancies Forecasting. (2017). Jula, Dorin.
   In: Eco-Economics Review.
   RePEc:eub:ecoecr:v:1:y:2017:i:1:p:3-20.

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4. Anticipating Early Data Revisions to US GDP and the Effects of Releases on Equity Markets. (2014). Clements, Michael.
   In: ICMA Centre Discussion Papers in Finance.
   RePEc:rdg:icmadp:icma-dp2014-06.

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5. Measuring Macroeconomic Uncertainty: US Inflation and Output Growth. (2014). Galvão, Ana ; Clements, Michael ; Galvo, Ana Beatriz.
   In: ICMA Centre Discussion Papers in Finance.
   RePEc:rdg:icmadp:icma-dp2014-04.

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6. A multi-country approach to forecasting output growth using PMIs. (2014). Pesaran, M ; Chudik, Alexander ; Grossman, Valerie.
   In: Globalization Institute Working Papers.
   RePEc:fip:feddgw:213.

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7. A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates. (2014). Marcellino, Massimiliano ; Foroni, Claudia.
   In: International Journal of Forecasting.
   RePEc:eee:intfor:v:30:y:2014:i:3:p:554-568.

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8. A Multi-Country Approach to Forecasting Output Growth Using PMIs. (2014). Pesaran, M ; Chudik, Alexander ; Grossman, Valerie.
   In: CESifo Working Paper Series.
   RePEc:ces:ceswps:_5100.

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9. Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment. (2013). Scheufele, Rolf ; Heinisch, Katja.
   In: IWH Discussion Papers.
   RePEc:zbw:iwhdps:iwh-7-13.

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10. Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling. (2013). Wright, Jonathan ; Ng, Serena.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:19469.

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11. Real-Time Forecast Density Combinations (Forecasting US GDP Growth Using Mixed-Frequency Data). (2012). Urbain, Jean-Pierre ; Hecq, Alain ; Götz, Thomas ; Gotz Thomas B., .
    In: Research Memorandum.
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12. Forecasting Mixed Frequency Time Series with ECM-MIDAS Models. (2012). Urbain, Jean-Pierre ; Hecq, Alain ; Götz, Thomas.
    In: Research Memorandum.
    RePEc:unm:umamet:2012012.

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13. Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment. (2012). Scheufele, Rolf ; Heinisch, Katja ; Drechsel, Katja .
    In: Working Papers.
    RePEc:snb:snbwpa:2012-16.

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14. Real-time forecasting in a data-rich environment. (2012). Liebermann, Joëlle.
    In: MPRA Paper.
    RePEc:pra:mprapa:39452.

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15. What does financial volatility tell us about macroeconomic fluctuations?. (2012). Yoldas, Emre ; Senyuz, Zeynep ; Chauvet, Marcelle.
    In: Finance and Economics Discussion Series.
    RePEc:fip:fedgfe:2012-09.

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16. U-MIDAS: MIDAS regressions with unrestricted lag polynomials. (2011). Schumacher, Christian ; Marcellino, Massimiliano ; Foroni, Claudia.
    In: Discussion Paper Series 1: Economic Studies.
    RePEc:zbw:bubdp1:201135.

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17. What does financial volatility tell us about macroeconomic fluctuations?. (2011). Yoldas, Emre ; Senyuz, Zeynep ; Chauvet, Marcelle.
    In: MPRA Paper.
    RePEc:pra:mprapa:34104.

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18. Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP. (2011). Schumacher, Christian.
    In: Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).
    RePEc:jns:jbstat:v:231:y:2011:i:1:p:28-49.

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19. Estimating VARs sampled at mixed or irregular spaced frequencies : a Bayesian approach. (2011). Kim, Tae Bong ; Foerster, Andrew ; Chiu, Ching-Wai (Jeremy) ; Seoane, Hernan D. ; Eraker, Bjorn .
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    RePEc:fip:fedkrw:rwp11-11.

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20. Size, book-to-market ratio and macroeconomic news. (2011). Cenesizoglu, Tolga.
    In: Journal of Empirical Finance.
    RePEc:eee:empfin:v:18:y:2011:i:2:p:248-270.

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21. Markov-switching MIDAS models. (2011). Marcellino, Massimiliano ; Guérin, Pierre ; Guerin, Pierre .
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:8234.

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22. FaMIDAS: A Mixed Frequency Factor Model with MIDAS structure. (2011). Monteforte, Libero ; Frale, Cecilia .
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_788_11.

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23. Size, Book-to-Market Ratio and Macroeconomic News. (2010). Cenesizoglu, Tolga.
    In: Cahiers de recherche.
    RePEc:lvl:lacicr:1033.

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24. MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area. (2009). Schumacher, Christian ; Marcellino, Massimiliano ; Kuzin, Vladimir .
    In: Economics Working Papers.
    RePEc:eui:euiwps:eco2009/32.

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25. MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the Euro Area. (2009). Schumacher, Christian ; Marcellino, Massimiliano ; Kuzin, Vladimir .
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:7445.

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