Fiscal multiplier/Tutorials: Difference between revisions
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==Measuring the Multiplier== | ==Measuring the Multiplier== | ||
Disagreements among economists about the size of the fiscal multiplier arise in part from the technical difficulties of estimating its magnitude under the conditions ruling at the time of a particular fiscal change. A partial escape from those difficulties can be achieved by referring to experience during comparable periods, but there have been numerous attempts to escape from the the data limitations of that approach. | |||
One group of researchers use a [[regression analysis]] technique known as SVAR<ref> Jan Gottschalk: ''An Introduction into the SVAR Methodology: Identification, Interpretation | One group of researchers use a [[regression analysis]] technique known as SVAR<ref> Jan Gottschalk: ''An Introduction into the SVAR Methodology: Identification, Interpretation | ||
and Limitations of SVAR models, KielWorking Paper No. 1072, August 2001 [http://faculty.washington.edu/ezivot/econ584/notes/svar%20survey.pdf]</ref> to determine the typical reaction of output to previously recorded fiscal changes. The problem about this method is that fiscal changes have often been taken in response to other things happening in the economy. Separating the impact of those other factors from the impact of fiscal change can be very difficult, and failure to do so successfully can result in [[omitted-variable bias]] resulting in an underestimate of the multiplier. According to [[Christine Romer]], that has been a common cause of error<ref>[http://elsa.berkeley.edu/~cromer/Written%20Version%20of%20Effects%20of%20Fiscal%20Policy.pdf Christina D. Romer: ''What do we know about the effects of fiscal policy?'', Lecture at Hamilton College, November 7, 2011]</ref>. Another approach involves the use of a | and Limitations of SVAR models, KielWorking Paper No. 1072, August 2001 [http://faculty.washington.edu/ezivot/econ584/notes/svar%20survey.pdf]</ref> to determine the typical reaction of output to previously recorded fiscal changes. The problem about this method is that fiscal changes have often been taken in response to other things happening in the economy. Separating the impact of those other factors from the impact of fiscal change can be very difficult, and failure to do so successfully can result in [[omitted-variable bias]] resulting in an underestimate of the multiplier. According to [[Economics/Catalogs#Christine Romer|Christine Romer]], that has been a common cause of error<ref>[http://elsa.berkeley.edu/~cromer/Written%20Version%20of%20Effects%20of%20Fiscal%20Policy.pdf Christina D. Romer: ''What do we know about the effects of fiscal policy?'', Lecture at Hamilton College, November 7, 2011]</ref>. | ||
Another approach involves the use of a development of [[general equilibrium]] models of the economy<ref>[http://www.oecd.org/eco/economicoutlookanalysisandforecasts/35567467.pdf Antonio M. Borges: ''Applied General Equilibrium Models: an assessment of their usefulness for policy analysis'', OECD]</ref> termed | |||
DSGE<ref>[http://www.econ.kuleuven.be/ew/academic/intecon/Degrauwe/PDG-papers/Recently_published_articles/PCH2010.pdf Paul De Grauwe ''The scientific foundation of dynamic stochastic general equilibrium (DSGE) models'', Public Choice, 13 July 2010]</ref>). Such models represent the equilibrium situation after the completion of the adjustments needed to bring supply into line in the product and labour markets. Multipliers estimated by their use are concerned with the ultimate effect of fiscal change rather than its short-term impact. The reliability of their estimates depend, in any case, upon the accuracy of the empirical and judgemental relationships embodied in the models. | |||
{{reflist}} | {{reflist}} | ||
Latest revision as of 16:38, 19 November 2012
Measuring the Multiplier
Disagreements among economists about the size of the fiscal multiplier arise in part from the technical difficulties of estimating its magnitude under the conditions ruling at the time of a particular fiscal change. A partial escape from those difficulties can be achieved by referring to experience during comparable periods, but there have been numerous attempts to escape from the the data limitations of that approach.
One group of researchers use a regression analysis technique known as SVAR[1] to determine the typical reaction of output to previously recorded fiscal changes. The problem about this method is that fiscal changes have often been taken in response to other things happening in the economy. Separating the impact of those other factors from the impact of fiscal change can be very difficult, and failure to do so successfully can result in omitted-variable bias resulting in an underestimate of the multiplier. According to Christine Romer, that has been a common cause of error[2].
Another approach involves the use of a development of general equilibrium models of the economy[3] termed DSGE[4]). Such models represent the equilibrium situation after the completion of the adjustments needed to bring supply into line in the product and labour markets. Multipliers estimated by their use are concerned with the ultimate effect of fiscal change rather than its short-term impact. The reliability of their estimates depend, in any case, upon the accuracy of the empirical and judgemental relationships embodied in the models.
- ↑ Jan Gottschalk: An Introduction into the SVAR Methodology: Identification, Interpretation and Limitations of SVAR models, KielWorking Paper No. 1072, August 2001 [1]
- ↑ Christina D. Romer: What do we know about the effects of fiscal policy?, Lecture at Hamilton College, November 7, 2011
- ↑ Antonio M. Borges: Applied General Equilibrium Models: an assessment of their usefulness for policy analysis, OECD
- ↑ Paul De Grauwe The scientific foundation of dynamic stochastic general equilibrium (DSGE) models, Public Choice, 13 July 2010