We reconsider the macroeconomic effects of fiscal policy in the context of a new-keynesian dynamic stochastic general equilibrium model. We assume that a fraction of the agents are non Ricardian and estimate the model parameters using Bayesian techniques. Our results show that the estimates of important parameters of the model differ depending on how detailed the fiscal policy is modelled. In particular, when we properly model distortionary taxes and take into account the fact that government expenditure is a composite aggregate (including consumption of goods and compensations for government employees), the estimated share of non Ricardian agents is significant and the model is able to replicate the widespread evidence that private consumption responds positively to government expenditure shocks. Previous papers, which mainly considered lump-sum taxes and treated government consumption as one single aggregate, obtained a smaller estimated share of non Ricardian households and no significant effect of government spending shocks on macroeconomic variables
Download Info
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Find related papers by JEL classification: E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)