The Economic Impact of Taxes in the US: Some Tests Based on the St. Louis Model
- 1 February 1986
- journal article
- Published by Emerald Publishing in Journal of Economic Studies
- Vol. 13 (2) , 3-13
- https://doi.org/10.1108/eb002619
Abstract
The primary purpose of this article is to investigate empirically for the US the potential impact of monetary and fiscal policy upon real economic activity using the “St. Louis equation” approach. Only lagged values of the policy variables are included in the estimation to ensure their statistical exogeneity. Hsiao's (1981) multivariate technique is employed to determine the model lag specification. The empirical results suggest that only fiscal policy as measured by high‐employment tax changes can exert a significant lasting impact upon real GNP. Monetary policy, on the other hand, has only a temporary effect on real GNP. The results also show that both monetary and fiscal policy have significant and permanent effects on nominal GNP, the former via its permanent effect on prices and the latter through its permanent effect on real GNP.Keywords
This publication has 18 references indexed in Scilit:
- Autoregressive modelling and money-income causality detectionJournal of Monetary Economics, 1981
- Federal Deficit Policy and the Effects of Public Debt ShocksJournal of Money, Credit and Banking, 1980
- DIFFICULTIES WITH TESTING FOR CAUSATIONEconomic Inquiry, 1979
- Econometric Modelling of the Aggregate Time-Series Relationship Between Consumers' Expenditure and Income in the United KingdomThe Economic Journal, 1978
- Even the St. Louis Model Now Believes in Fiscal Policy: NoteJournal of Money, Credit and Banking, 1977
- Some comparisons of tests for a shift in the slopes of a multivariate linear time series modelJournal of Econometrics, 1975
- The Usefulness of Monetary and Fiscal Policy as Discretionary Stabilization ToolsJournal of Money, Credit and Banking, 1971
- A Test for a Shifting Slope Coefficient in a Linear ModelJournal of the American Statistical Association, 1970
- Fitting autoregressive models for predictionAnnals of the Institute of Statistical Mathematics, 1969
- Tests of Equality Between Sets of Coefficients in Two Linear RegressionsEconometrica, 1960