This paper aims to estimate the government investment fiscal multipliers in select European countries for the period 1970–2016. To do this, we combine Structural Vector Autoregression (SVAR) modeling with the Local Projections (LP) approach. We estimate models by also controlling for fiscal foresight, excluding the postcrisis period and distinguishing between Northern and Southern countries. Our findings suggest that an increase in government investment generates a “Keynesian effect” by engendering positive and permanent effects on the GDP level, even when government expenditure expectations are considered. Fiscal multipliers are close to 1 on impact and increase in the years after the implementation of a discretionary fiscal policy.
The aim of this paper is to assess—on both theoretical and empirical grounds—the two main views regarding the money creation process, namely the endogenous and exogenous money approaches. After analysing the main issues and the related empirical literature, we will apply a vector autoregression model and a vector error‐correction model methodology to the United States for the period 1959–2017 to assess the causal relationship between a number of critical variables that are supposed to determine the money supply, that is, the monetary base, bank deposits, bank loans and the nominal level of economic activity. The empirical analysis supports several propositions related to the endogenous money approach. In particular, it shows that for the United States in the years 1959–2017 (a) bank loans determine bank deposits and (b) bank deposits in turn determine the monetary base. Our conclusion is that money supply is mainly determined endogenously by the lending activity of commercial banks and the nominal level of economic activity.
This paper addresses the ability of central banks to affect the structure of interest rates. We assess the causal relationship between the short‐term Effective Federal Funds Rate (FF) and long‐term interest rates associated with both public and private bonds and specifically, the 10‐Year Treasury Bond (GB10Y) and the Moody's Aaa Corporate Bond (AAA). To do this, we apply Structural Vector Autoregressive models to U.S. monthly data for the 1954–2018 period. Based on results derived from impulse response functions and forecast error variance decomposition, we find: a bidirectional relationship when GB10Y is considered as the long‐term rate and a unidirectional relationship that moves from short‐ to long‐term interest rates when AAA is considered. These conclusions show that monetary policy is able to permanently affect long‐term interest rates and the central bank has a certain degree of freedom in setting the levels of the short‐term policy rate.
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