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AbstractIn this paper, we propose a time-varying parameter VAR model with stochastic volatility which allows for estimation on data sampled at different frequencies. Our contribution is twofold. First, we extend the methodology developed by Cogley and Sargent (2005), and Primiceri (2005), to a mixed-frequency setting. In particular, our approach allows for the inclusion of two different categories of variables (high-frequency and low-frequency) into the same time varying model. Second, we use this model to study the macroeconomic effects of government spending shocks in Italy over the 1988Q4-2013Q3 period. Italy -as well as most other euro area economies -is characterised by short quarterly time series for fiscal variables, whereas annual data are generally available for a longer sample before 1999. Our results show that the proposed timevarying mixed-frequency model improves on the performance of a simple linear interpolation model in generating the true path of the missing observations. Second, our empirical analysis suggests that government spending shocks tend to have positive effects on output in Italy. The fiscal multiplier, which is maximized at the one year horizon, follows a U-shape over the sample considered: it peaks at around 1.5 at the beginning of the sample, it then stabilizes between 0.8 and 0.9 from the mid-1990s to the late 2000s, before rising again to above unity during of the recent crisis.
Non-technical summaryThe scope for conducting empirical analysis in the fiscal policy field, as well as in other economic fields, is sometimes limited by the unavailability of high frequency data or by the short length of these time series. Indeed, most econometric models -such as vector autoregressions (VARs) -typically need relatively long time series of data to obtain meaningful and robust estimates. As regards fiscal policy, most time series for euro area countries are available at the annual frequency prior to 1999 and at the quarterly frequency only beginning in 1999. This has contributed to prevent a rapid development of the literature on the macroeconomic effects of fiscal policies for these countries.To address the problem of insufficiently long high-frequency time series, data sampled at different frequencies and, in general, irregular data patterns, a very rich research has soared which is generally Our results indicate that, first, our time-varying mixed-frequency model well tracks the data in-sample. Second...