000 02408nam a22003497a 4500
003 arcduce
005 20211121005235.0
007 ta
008 160613s2009 gw_||||| |||| 00| 0 eng d
020 _a9783865585080
040 _aarcduce
_carcduce
082 0 _221
_a339.31094
100 1 _97668
_aKuzin, Vladimir
245 1 0 _aMIDAS versus mixed-frequency VAR :
_bnowcasting GDP in the euro area /
_cVladimir Kuzin, Massimiliano Marcellino, Christian Schumacher.
260 _aFrankfurt am Main :
_bDeutsche Bundesbank,
_c2009
300 _a27 p.
490 1 _aDiscussion paper. Series 1: economic studies ;
_vno. 07/2009
504 _aBibliografía: p. 15-17.
505 0 _a1. Introduction -- 2. Nowcasting quarterly GDP with ragged-edge data -- 3. Now and forecasting Euro Area GDP with MIDAS and MF-VAR -- 4. Conclusions -- Euro Area dataset.
520 3 _aThis paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci…cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coe¢ cients, whereas MF-VAR does not restrict the dynamics and therefore can su¤er from the curse of dimensionality. But if the restrictions imposed by MIDAS are too stringent, the MF-VAR can perform better. Hence, it is di¢ cult to rank MIDAS and MF-VAR a priori, and their relative ranking is better evaluated empirically. In this paper, we compare their performance in a relevant case for policy making, i.e., nowcasting and forecasting quarterly GDP growth in the euro area, on a monthly basis and using a set of 20 monthly indicators. It turns out that the two approaches are more complementary than substitutes, since MF-VAR tends to perform better for longer horizons, whereas MIDAS for shorter horizons.
650 4 _aUNION EUROPEA
_9155
650 4 _aPREDICCIONES ECONOMICAS
_92895
650 4 _aMETODOLOGIA
_9425
650 4 _aPRODUCTO INTERNO BRUTO
_97852
653 4 _aPRONOSTICOS ECONOMICOS
700 1 _95999
_aMassimiliano Marcellino,
_d1970-
700 1 _96001
_aSchumacher, Christian
830 0 _94690
_aDiscussion paper (Deutsche Bundesbank).
_pSeries 1: economic studies
_vno. 07/2009
856 4 _uhttps://www.econstor.eu/bitstream/10419/27661/1/200907dkp.pdf
942 _2ddc
_cDOCU
_jF 339.31094 K 13570
945 _aBEA
_c2016-09-26
999 _c25601
_d25601