1. Quarterly Regional GDP Flash Estimates by Means of Benchmarking and Chain Linking. (2015). Espasa, Antoni ; Antoni, Espasa ; Enrique, Quilis ; Angel, Cuevas .
   In: Journal of Official Statistics.
   RePEc:vrs:offsta:v:31:y:2015:i:4:p:627-647:n:6.

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2. Short-term forecasting with business surveys: Evidence for German IHK data at federal state level. (2013). Wolf, Andre ; Wenzel, Lars .
   In: HWWI Research Papers.
   RePEc:zbw:hwwirp:140.

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3. Forecasting regional growth in Germany: A panel approach using business survey data. (2013). Wenzel, Lars .
   In: HWWI Research Papers.
   RePEc:zbw:hwwirp:133.

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4. 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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5. Forecasting regional GDP with factor models: How useful are national and international data?. (2013). Moran, Kevin ; Kopoin, Alexandre ; Pare, Jean-Pierre .
   In: Economics Letters.
   RePEc:eee:ecolet:v:121:y:2013:i:2:p:267-270.

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6. Sektorale Prognosen und deren Machbarkeit auf regionaler Ebene – Das Beispiel Sachsen. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
   In: ifo Dresden berichtet.
   RePEc:ces:ifodre:v:20:y:2013:i:04:p:22-29.

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7. Die Prognose des Bruttoinlandsprodukts auf regionaler Ebene. (2012). Wohlrabe, Klaus ; Lehmann, Robert.
   In: ifo Schnelldienst.
   RePEc:ces:ifosdt:v:65:y:2012:i:21:p:17-23.

   Full description at Econpapers || Download paper

1. â (2010). VAR-Prognose-Pooling: Ein Ansatz zur Verbesserung der Informationsgrundlage der ifo Dresden Konjunkturprognosen. ifo Dresden berichtet, 17 (2), 32â40.

2. â and â (2006). Forecasting with many Predictors. In G. Elliott, C. W. J. Granger and A. Timmermann (eds.), Handbook of Economic Forecasting, vol. 1, 10, Elsevier, pp. 515â 554.
   Paper not yet in RePEc: Add citation now
   
3. â and â (2012b). The performance of short-term forecasts of the german economy before and during the 2008/2009 recession. International Journal of Forecasting, 28 (2), 428â445.
   Paper not yet in RePEc: Add citation now
   
4. â and Pauly, P. (1987). Structural change and the combination of forecasts. Journal of Forecasting, 6 (1), 21â40.
   Paper not yet in RePEc: Add citation now
   

5. â and Scheufele, R. (2012a). Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment, Paper presented at the 27th Annual Congress of the European Economic Association, Malaga.

6. â and Siliverstovs, B. (2005). On the forecasting properties of the alternative leading indicators for the German GDP: recent evidence. Journal of Economics and Statistics, 226 (3), 234â259.

7. â and Ziegler, C. (2008). How Successful are Dynamic Factor Models at Forecasting Output and Inïation? A Meta-Analytic Approach. Journal of Forecasting, 27 (3), 237â 265.

8. â, â and â (2006). Forecasting macroeconomic variables for the new member states. In M. J. Artis, A. Banerjee and M. Marcellino (eds.), The central and eastern European countries and the European Union, Cambridge: Cambridge University Press, pp. 108â134.

9. Abberger, K. and Wohlrabe, K. (2006). Einige Prognoseeigenschaften des ifo GeschÃftsklimas â Ein Ãberblick Ãber die neuere wissenschaftliche Literatur. ifo Schnelldienst, 59 (22), 19â26.

10. Bandholz, H. and Funke, M. (2003). Die Konstruktion und SchÃtzung eines Konjunkturfr Ãhindikators fÃr Hamburg. Wirtschaftsdienst, 83 (8), 540â548.
    Paper not yet in RePEc: Add citation now
    

11. Banerjee, A., Marcellino, M. and Masten, I. (2005). Leading Indicators for Euro-area Inïation and GDP Growth. Oxford Bulletin of Economics and Statistics, 67 (Supplement s1), 785â813.

12. Bodo, G., Golinelli, G. and Parigi, G. (2000). Forecasting industrial production in the Euro area. Empirical Economics, 25 (4), 541â561.

13. Brautzsch, H. U. and Ludwig, U. (2002). VierteljÃhrliche Entstehungsrechnung des Bruttoinlandsprodukts fÃr Ostdeutschland: Sektorale BruttowertschÃpfung. IWH Discussion Papers No. 164.

14. Breitung, J. and Schumacher, C. (2008). Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data. International Journal of Forecasting, 24 (3), 386â398.

15. Brisson, M., Campbell, B. and Galbraith, J. W. (2003). Forecasting some lowpredictability time series using diïusion indices. Journal of Forecasting, 22 (6-7), 515â531.
    Paper not yet in RePEc: Add citation now
    

16. Carstensen, K., Wohlrabe, K. and Ziegler, C. (2011). Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production. Journal of Economics and Statistics, 231 (1), 82â106.

17. Chow, G. C. and Lin, A. (1971). Best linear unbiased interpolation, distribution and exploration of time series by related series. The Review of Economics and Statistics, 53 (4), 372â375.

18. Clements, M. P. and GalvÃo, A. B. (2009). Forecasting US output growth using Leading Indicators: An appraisal using MIDAS models. Journal of Applied Econometrics, 24 (7), 1187â1206.

19. Costantini, M. and Pappalardo, C. (2010). A hierarchical procedure for the combination of forecasts. International Journal of Forecasting, 26 (4), 725â743.

20. Diebold, F. X. and Mariano, R. S. (1995). Comparing Predictive Accuracy. Journal of Business and Economic Statistics, 13 (3), 253â263.

21. Drechsel, K. and Maurin, L. (2011). Flow of Conjunctural Information and Forecast of Euro Area Economic Activity. Journal of Forecasting, 30 (3), 336â354.

22. Dreger, C. and Kholodilin, K. A. (2007). Prognosen der regionalen Konjunkturentwicklung. Quarterly Journal of Economic Research, 76 (4), 47â55.

23. Eickmeier, S. and Ng, T. (2011). Forecasting national activity using lots of international predictors: An application to New Zealand. International Journal of Forecasting, 27 (2), 496â511.

24. Forni, M., Hallin, M., Lippi, M. and Reichlin, L. (2003). Do ïnancial variables help forecasting inïation and real activity in the euro area? Journal of Monetary Economics, 50 (6), 1243â1255.

25. Harvey, D. I., Leybourne, S. J. and Newbold, P. (1997). Testing the equality of prediction mean squared errors. International Journal of Forecasting, 13 (2), 281â291.

26. Kholodilin, K. A., Kooths, S. and Siliverstovs, B. (2008). A Dynamic Panel Data Approach to the Forecasting of the GDP of German LÃnder. Spatial Economic Analysis, 3 (2), 195â207.

27. Kuzin, V., Marcellino, M. and Schumacher, C. (2012). Pooling versus Model Selection for Nowcasting GDP with Many Predictors: Empirical Evidence for Six Industrialized Countries. Journal of Applied Econometrics, forthcoming.

28. Lehmann, R., Speich, W. D., Straube, R. and Vogt, G. (2010). Funktioniert der ifo Konjunkturtest auch wirtschaftlichen Krisenzeiten? Eine Analyse der ZusammenhÃnge zwischen ifo GeschÃftsklima und amtlichen Konjunkturdaten fÃr Sachsen. ifo Dresden berichtet, 17 (3), 8â14.

29. Longhi, S. and Nijkamp, P. (2007). Forecasting Regional Labor Market Developments under Spatial Autocorrelation. International Regional Science Review, 30 (2), 100â119.

30. Nierhaus, W. (2007). VierteljÃhrliche Volkswirtschaftliche Gesamtrechnungen fÃr Sachsen mit Hilfe temporaler Disaggregation. ifo Dresden berichtet, 14 (4), 24â36.

31. Ragnitz, J. (2009). East Germany Today: Successes and Failures. CESifo Dice Report, 7 (4), 51â58.

32. Schanne, N., Wapler, R. and Weyh, A. (2010). Regional unemployment forecasts with spatial interdependencies. International Journal of Forecasting, 26 (4), 908â926.

33. Schirwitz, B., Seiler, C. and Wohlrabe, K. (2009). Regionale Konjunkturzyklen in Deutschland â Teil II: Die Zyklendatierung. ifo Schnelldienst, 62 (14), 24â31.

34. Schumacher, C. (2010). Factor forecasting using international targeted predictors: The case of German GDP. Economics Letters, 107 (2), 95â98.

35. Stock, J. H. and Watson, M. W. (2004). Combination forecasts of output growth in a seven-country data set. Journal of Forecasting, 23 (6), 405â430.

36. Timmermann, A. (2006). Forecast Combinations. In G. Elliott, C. W. J. Granger and A. Timmermann (eds.), Handbook of Economic Forecasting, vol. 1, 4, Elsevier, pp. 135â 196.

37. Vogt, G. (2009). Konjunkturprognose in Deutschland â Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und LÃnderebene. ifo BeitrÃge zur Wirtschaftsforschung Nr. 36, Ifo Institute â Leibniz-Institute for Economic Research at the University of Munich.

38. Vullhorst, U. (2008). Zur indikatorgestÃtzten Berechnung des vierteljÃhrlichen Bruttoinlandsprodukts fÃr Baden-WÃrttemberg. Statistisches Monatsheft Baden-WÃrttemberg, 6 (9), 32â35.
    Paper not yet in RePEc: Add citation now
    

39. Working Group Regional Accounts VGRdL (2011). Gross domestic product, gross value added in Germany by Bundesland and East-West-Regions. Working Group Regional Accounts VGRdL, Series 1, State results Volume 1, Date of calculation: August 2010 / February 2011, Stuttgart 2011. A. Indicators

1. .

   Full description at Econpapers || Download paper

2. Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence. (2017). Scheufele, Rolf ; Heinisch, Katja.
   In: IWH Discussion Papers.
   RePEc:zbw:iwhdps:52017.

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3. Nowcasting des deutschen BIP. (2017). Hamella, Sandra ; Volkenand, Jonas ; Rosenthal, Beatrice ; Doll, Jens .
   In: Weidener Diskussionspapiere.
   RePEc:zbw:hawdps:59.

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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 .
   In: Working Papers.
   RePEc:snb:snbwpa:2017-02.

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5. Forecasting Economic Aggregates Using Dynamic Component Grouping. (2017). Cobb, Marcus.
   In: MPRA Paper.
   RePEc:pra:mprapa:81585.

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6. Joint Forecast Combination of Macroeconomic Aggregates and Their Components. (2017). Cobb, Marcus.
   In: MPRA Paper.
   RePEc:pra:mprapa:76556.

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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.
   RePEc:zbw:vfsc16:145864.

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8. Forecasting Turkish GDP Growth : Bottom-Up vs Direct?. (2016). Gunay, Mahmut.
   In: CBT Research Notes in Economics.
   RePEc:tcb:econot:1622.

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9. Foreign PMIs: A reliable indicator for exports?. (2016). Scheufele, Rolf ; Hanslin Grossmann, Sandra.
   In: Working Papers.
   RePEc:snb:snbwpa:2016-01.

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10. A comparison of MIDAS and bridge equations. (2016). Schumacher, Christian.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:32:y:2016:i:2:p:257-270.

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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.
    RePEc:zbw:vfsc15:112830.

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13. Survey-based indicators vs. hard data: What improves export forecasts in Europe?. (2015). Lehmann, Robert.
    In: ERSA conference papers.
    RePEc:wiw:wiwrsa:ersa15p756.

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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.
    RePEc:ces:ifowps:_196.

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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.
    RePEc:zbw:vfsc14:100626.

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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.
    RePEc:zbw:vfsc14:100289.

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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.
    RePEc:jku:econwp:2014_10.

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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.
    RePEc:ecb:ecbwps:20141724.

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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.
    RePEc:chb:bcchwp:721.

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20. Forecasting regional growth in Germany: A panel approach using business survey data. (2013). Wenzel, Lars .
    In: HWWI Research Papers.
    RePEc:zbw:hwwirp:133.

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21. Forecasting GDP at the regional level with many predictors. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
    In: ERSA conference papers.
    RePEc:wiw:wiwrsa:ersa13p15.

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22. 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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23. Forecasting GDP at the regional level with many predictors. (2013). Wohlrabe, Klaus ; Lehmann, Robert.
    In: Discussion Papers in Economics.
    RePEc:lmu:muenec:17104.

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24. Labour market forecasting : is disaggregation useful?. (2013). Zika, Gerd ; Weber, Enzo.
    In: IAB Discussion Paper.
    RePEc:iab:iabdpa:201314.

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25. Now-Casting and the Real-Time Data Flow. (2013). Babura, Marta ; Reichlin, Lucrezia ; Modugno, Michele ; Giannone, Domenico.
    In: Handbook of Economic Forecasting.
    RePEc:eee:ecofch:2-195.

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26. 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.
    RePEc:ces:ifowps:_171.

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27. Das ifo Geschäftsklima und die deutsche Konjunktur. (2013). Wohlrabe, Klaus ; Seiler, Christian.
    In: ifo Schnelldienst.
    RePEc:ces:ifosdt:v:66:y:2013:i:18:p:17-21.

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28. 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.
    RePEc:ces:ceswps:_4148.

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29. Die Prognose des Bruttoinlandsprodukts auf regionaler Ebene. (2012). Wohlrabe, Klaus ; Lehmann, Robert.
    In: ifo Schnelldienst.
    RePEc:ces:ifosdt:v:65:y:2012:i:21:p:17-23.

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30. 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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