[1] AIOLFI, Marco, CAPISTRAN, Carlos, TIMMERMANN, Allan (2011) – Forecast Combinations. In: The Oxford Handbook of Economic Forecasting. Ed. by M. Clements and D. Hendry, pp. 355–388. [2] AIOLFI, Marco, TIMMERMANN, Allan (2006) – Persistence of Forecasting Performance and Conditional Combination Strategies. Journal of Econometrics, vol. 135, issues 1–2, November–December, pp. 31–53. [3] AJEVSKIS, Viktors, DAVIDSONS, Gundars (2008) – Dynamic Factor Models in Forecasting Latvia's Gross Domestic Product. Latvijas Banka Working Paper Series, No. 2/2008. 26 p. [4] ARTIS, Michael J., BANERJEE, Anindya, MARCELLINO, Massimiliano (2005) – Factor Forecasts for the UK. Journal of Forecasting, vol. 24, issue 4, July, pp. 279–298. [5] BAFFIGI, Alberto, GOLINELLI, Roberto, PARIGI, Giuseppe (2004) – Bridge Models to Forecast Euro Area GDP. International Journal of Forecasting, vol. 20, issue 3, July–September, pp. 447–460. [6] BAI, Jushan, NG, Serena (2002) – Determining the Number of Factors in Approximate Factor Models. Econometrica, vol. 70, No. 1, January, pp. 191–221. [7] BAI, Jushan, NG, Serena (2008) – Forecasting Economic Time Series Using Targeted Predictors. Journal of Econometrics, vol. 146, pp. 304–317. [8] BANBURA, Marta, GIANNONE, Domenico, REICHLIN, Lucrezia (2010) – Large Bayesian Vector Auto Regressions. Journal of Applied Econometrics, vol. 25, issue 1, January/February, pp. 71–92. [9] BANBURA, Marta, MODUGNO, Michele (2014) – Maximum Likelihood Estimation of Factor Models on Data Sets with Arbitrary Pattern of Missing Data. Journal of Applied Econometrics, vol. 29, No. 1, pp. 133–160. [10] BANBURA, Marta, RUNSTLER, Gerhard (2011) – A Look into the Factor Model Black Box: Publication Lags and the Role of Hard and Soft Data in Forecasting GDP. International Journal of Forecasting, vol. 27, issue 2, April–June, pp. 333–346. [11] BATES, John M., GRANGER, Clive W. J. (1969) – The Combination of Forecasts. Operational Research Quarterly, vol. 20, No. 4, December, pp. 451–468. [12] BENKOVSKIS, Konstantins (2008) – Short-Term Forecasts of Latvia's Real Gross Domestic Product Growth Using Monthly Indicators. Latvijas Banka Working Paper Series, No. 5/2008. 29 p. [13] BESSONOVS, Andrejs (2010) – Measuring GDP Forecasting Accuracy Using Factor Models: Aggregated vs. Disaggregated Approach. Scientific Papers University of Latvia, vol. 758, pp. 22–33. [14] BLOOR, Chris, MATHESON, Troy (2011) – Real-Time Conditional Forecasts with Bayesian VARs: An Application to New Zealand. The North American Journal of Economics and Finance, vol. 22, issue 1, January, pp. 26–42. [15] BOIVIN, Jean, NG, Serena (2006) – Are More Data Always Better for Factor Analysis? Journal of Econometrics, vol. 132, pp. 169–194. [16] BRISSON, Marc, CAMPBELL, Bryan, GALBRAITH, John W. (2003) – Forecasting Some Low-Predictability Time Series Using Diffusion Indices. Journal of Forecasting, vol. 22, issues 6–7, September–November, pp. 515–531. [17] CAMACHO, Maximo, SANCHO, Israel (2003) – Spanish Diffusion Indexes. Spanish Economic Review, vol. 5, issue 3, September, pp. 173–203. [18] CANOVA, Fabio (2007) – Methods for Applied Macroeconomic Research. Princeton University Press. 512 p. [19] CLEMEN, Robert T. (1987) – Combining Overlapping Information. Management Science, vol. 33, issue 3, pp. 373–380. [20] CLEMEN, Robert T. (1989) – Combining Forecasts: A Review and Annotated Bibliography. International Journal of Forecasting, vol. 5, pp. 559–581. [21] CLEMENTS, Michael P., GALVAO, Ana B. (2009) – Forecasting US Output Growth Using Leading Indicators: An Appraisal Using MIDAS Models. Journal of Applied Econometrics, vol. 24, issue 7, November/December, pp. 1187–1206. [22] CROUSHORE, Dean (2011) – Forecasting with Real-Time Data Vintages. In: The Oxford Handbook of Economic Forecasting. Ed. by M. Clements and D. Hendry, pp. 247–267. [23] CROUSHORE, Dean, STARK, Tom (2001) – Real-Time Data Set for Macroeconomists. Journal of Econometrics, vol. 105, November, pp. 111–130. [24] CROUSHORE, Dean, STARK, Tom (2002) – Forecasting with a Real-Time Data Set for Macroeconomists. Journal of Macroeconomics, vol. 24, issue 4, December, pp. 507–531. [25] DE GOOIJER, Jan G., HYNDMAN, Rob J. (2006) – 25 Years of Time Series Forecasting. International Journal of Forecasting, vol. 22, pp. 443–473. [26] DEN REIJER, Ard H. J. (2005) – Forecasting Dutch GDP Using Large Scale Factor Models. De Nederlandsche Bank Working Paper Series, No. 28/2005, February. 37 p. [27] DEMPSTER, Arthur P., LAIRD, Nan M., RUBIN, Donald B. (1977) – Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of Royal Statistic Society, vol. 39, No. 1, pp. 1–38. [28] DIEBOLD, Francis X., PAULY, Peter (1987) – Structural Change and the Combination of Forecasts. Journal of Forecasting, vol. 6, issue 1, pp. 21–40. [29] DIEBOLD, Francis X., PAULY, Peter (1990) – The Use of Prior Information in Forecast Combination. International Journal of Forecasting, vol. 6, pp. 503–508. [30] DIEBOLD, Francis X., RUDEBUSCH, Glenn D. (1991) – Forecasting Output with the Composite Leading Index: A Real-Time Analysis. Journal of American Statistical Association, vol. 86, No. 415, September, pp. 603–610. [31] DIRON, Marie (2008) – Short-Term Forecasts of Euro Area Real GDP Growth: An Assessment of Real-Time Performance Based on Vintage Data. Journal of Forecasting, vol. 27, issue 5, pp. 371–390. [32] DOAN, Thomas, LITTERMAN, Robert, SIMS, Christopher A. (1984) – Forecasting and Conditional Projection Using Realistic Prior Distributions. Econometric Reviews, vol. 3, No. 1, January, pp. 1–100. [33] ESPASA, Antoni, SENRA, Eva, ALBACETE, Rebeca (2002) – Forecasting Inflation in the European Monetary Union: A Disaggregated Approach by Countries and by Sectors. European Journal of Finance, vol. 8, issue 4, pp. 402–421. [34] Eurostat (2008) – NACE Rev. 2. Statistical Classification of Economic Activities in the European Community. Methodologies and Working Papers. 369 p. [35] FAVERO, Carlo A., MARCELLINO, Massimiliano (2005) – Modelling and Forecasting Fiscal Variables for the Euro Area. Oxford Bulletin of Economics and Statistics, vol. 67, Issue Supplement s1, December, pp. 755–783. [36] FORNI, Mario, HALLIN, Marc, LIPPI, Marco, REICHLIN, Lucrezia (2005) – The Generalized Dynamic Factor Model. One-Sided Estimation and Forecasting. Journal of the American Statistical Association, vol. 100, issue 471, pp. 830–840. [37] GRANGER, Clive W. J., RAMANATHAN, Ramu (1984) – Improved Methods of Combining Forecasts. Journal of Forecasting, vol. 3, issue 2, April/June, pp. 197–204. [38] HAHN, Elke, SKUDELNY, Frauke (2008) – Early Estimates of Euro Area Real GDP Growth. A Bottom up Approach from the Production Side. European Central Bank Working Paper Series, No. 975, December. 65 p. [39] HENDRY, David F., CLEMENTS, Michael P. (2004) – Pooling of Forecasts. Econometrics Journal, vol. 7, issue 1, June, pp. 1–31. [40] HENDRY, David F., HUBRICH, Kirstin (2006) – Forecasting Economic Aggregates by Disaggregates. European Central Bank Working Paper Series, No. 589, February. 53 p. [41] HENDRY, David F., HUBRICH, Kirstin (2011) – Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate. Journal of Business and Economic Statistics, vol. 29, issue 2, pp. 216–227. [42] HUBRICH, Kirstin (2005) – Forecasting Euro Area Inflation: Does Aggregating Forecasts by HICP Component Improve Forecast Accuracy? International Journal of Forecasting, vol. 21, issue 1, January–March, pp. 119–136. [43] INGENITO, Robert, TREHAN, Bharat (1996) – Using Monthly Data to Predict Quarterly Output. Federal Reserve Bank of San Francisco Economic Review, No. 3. 9 p. [44] JACOBSON, Tor, JANSSON, Per, VREDIN, Anders, WARNE, Anders (2001) – Monetary Policy Analysis and Inflation Targeting in a Small Open Economy: A VAR Approach. Journal of Applied Econometrics, vol. 16, issue 4, July/August, pp. 487–520. [45] KAPETANIOS, George, LABHARD, Vincent, PRICE, Simon (2008) – Forecast Combination and the Bank of England's Suite of Statistical Forecasting Models. Economic Modelling, vol. 25, issue 4, July, pp. 772–792. [46] KOOP, Gary (2013) – Forecasting with Medium and Large Bayesian VARS. Journal of Applied Econometrics, vol. 28, issue 2, March, pp. 177–203. [47] KUZIN, Vladimir, MARCELLINO, Massimiliano, SCHUMACHER, Christian (2011) – MIDAS vs. Mixed-Frequency VAR: Nowcasting GDP in the Euro Area. International Journal of Forecasting, vol. 27, issue 2, pp. 529–542. [48] LEEPER, Eric M., SIMS, Christopher A., ZHA, Tao (1996) – What does Monetary Policy do? Brookings Papers on Economic Activity, vol. 27, issue 2. 78 p. [49] LITTERMAN, Robert (1986) – Forecasting with Bayesian Vector Autoregressions: Five Years of Experience. Journal of Business and Economic Statistics, vol. 4, No. 1, January, pp. 25–38. [50] LUTKEPOHL, Helmut (2005) – New Introduction to Multiple Time Series Analysis. Berlin : Springer. 764 p. [51] MARCELLINO, Massimiliano, STOCK, James H., WATSON, Mark W. (2003) – Macroeconomic Forecasting in the Euro Area: Country Specific Versus Area-Wide Information. European Economic Review, vol. 47. 18 p. [52] MARIANO, Roberto S., MURASAWA, Yasutomo (2003) – A New Coincident Index of Business Cycles Based on Monthly and Quarterly Series. Journal of Applied Econometrics, vol. 18, issue 4, July/August, pp. 427–443. [53] ORPHANIDES, Athanasios (2001) – Monetary Policy Rules Based on Real-Time Data. American Economic Review, vol. 91, No. 4, September, pp. 964–985. [54] RUNSTLER, Gerhard, SEDILLOT, Franck (2003) – Short-Term Estimates of Euro Area Real GDP by Means of Monthly Data. European Central Bank Working Paper Series, No. 276, September. 34 p. [55] RUNSTLER, Gerhard, BARHOUMI, Karim, BENK, Szilard, CRISTADORO, Riccardo, DEN REIJER, Ard, JAKAITIENE, Audronλ, JELONEK, Piotr, RUA, Antonio, RUTH, Karsten, VAN NIEUWENHUYZE, Christophe (2009) – Short-Term Forecasting of GDP Using Large Datasets: A Pseudo Real-Time Forecast Evaluation Exercise. Journal of Forecasting, vol. 28, issue 7, November, pp. 595–611. [56] SCHNEIDER, Martin, SPITZER, Martin (2004) – Forecasting Austrian GDP Using the Generalized Dynamic Factor Model. Osterreichische Nationalbank Working Paper Series, No. 89. 40 p. [57] SCHUMACHER, Christian (2007) – Forecasting German GDP Using Alternative Factor Models Based on Large Datasets. Journal of Forecasting, vol. 26, issue 4, July, pp. 271–302. [58] SCHUMACHER, Christian, DREGER, Christian (2004) – Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? Journal of Economics and Statistics, vol. 224, issue 6, pp. 731–750. [59] SHINTANI, Mototsugu (2005) – Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan. Journal of Money, Credit and Banking, vol. 37, No. 3, June, pp. 517–538. [60] SILIVERSTOVS, Boriss, KHOLODILIN, Konstantin A. (2009) – On Selection of Components for a Diffusion Index Model: It's not the Size, It's How You Use It. Applied Economics Letters, Taylor and Francis Journals, vol. 16, issue 12, pp. 1249–1254. [61] SIMS, Christopher A. (1980) – Macroeconomics and Reality. Econometrica, vol. 48, issue 1, pp. 1–48. [62] SIMS, Christopher A. (1986) – Are Forecasting Models Usable for Policy Analysis? Federal Reserve Bank of Minneapolis Quarterly Review, vol. 10, No. 1, pp. 2–16. [63] SIMS, Christopher A., ZHA, Tao (1998) – Bayesian Methods for Dynamic Multivariate Models. International Economic Review, vol. 39, No. 4, November, pp. 949–968. [64] SMITH, Jeremy, WALLIS, Kenneth F. (2009) – A Simple Explanation of the Forecast Combination Puzzle. Oxford Bulletin of Economics and Statistics, vol. 71, issue 3, June, pp. 331–355. [65] STOCK, James H., WATSON, Mark W. (1999) – A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series. In: Cointegration, Causality, and Forecasting: A Festschrift in Honour of Clive W. J. Granger. Ed. by R. F. Engle and H. White, Oxford University Press, pp. 1–44. [66] STOCK, James H., WATSON, Mark W. (2001) – Vector Autoregressions. Journal of Economic Perspectives, vol. 15, issue 4, pp. 101–115. [67] STOCK, James H., WATSON, Mark W. (2002a) – Macroeconomic Forecasting Using Diffusion Indexes. Journal of Business and Economic Statistics, vol. 20, issue 2, pp. 147–162. [68] STOCK, James H., WATSON, Mark W. (2002b) – Forecasting Using Principal Components from a Large Number of Predictors. Journal of the American Statistical Association, vol. 97, No. 460, December, pp. 1167–1179. [69] STOCK, James H., WATSON, Mark W. (2004) – Combination Forecasts of Output Growth in a Seven-Country Data Set. Journal of Forecasting, vol. 23, issue 6, September, pp. 405–430.