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This section provides a summary description of the data employed in the empirical analysis.A detailed description can be found in Section C of the Appendix. All variables are in naturallogarithms and measured at constant prices unless stated otherwise.This use of data for the euro area has some drawbacks such as the fact that the historicaldata originates from the time prior to EMU when the member economies experienced di¤erentmonetary policy regimes and the possibility of aggregation bias (Beyer et al. 2001). There are,in fact, two alternative approaches: (i) to construct separate models of the member economiesand link them to form a multi-country model of the euro area; and (ii) to start by aggregatingthe relevant macroeconomic time series across member economies and then estimate a modelfor the euro area as a whole. I follow the last approach, because the objectives and instrumentsof Eurosystem monetary policy are de
ned in terms of aggregates for the euro area.9The economic variables for the euro area are, therefore, computed by aggregating nationaldata using the irrevocable
xed exchange rates and for the period 1980:1-2007:4.For the recursive partial identi
cation of the monetary policy shock (based upon thework of Christiano et al., 2005), the variables in X1t the ones predetermined with respect tomonetary policy innovations are the net stock of housing wealth, NHWt, the producer priceindex of raw materials, PPIRMt , the real GDP, Yt, and the GDP deator, Pt. The variablesin X2t the ones allowed to react contemporaneously to monetary policy shocks are thegrowth rate of broad money, M3t
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