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150128 ||| eng |
020 |
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|a 9781475595338
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100 |
1 |
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|a Cantore, Cristiano
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245 |
0 |
0 |
|a A Fiscal Stimulus and Jobless Recovery
|c Cristiano Cantore, Paul Levine, Giovanni Melina
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260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2013
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300 |
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|a 53 pages
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651 |
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4 |
|a United States
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653 |
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|a Wealth
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653 |
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|a Labour; income economics
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653 |
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|a Public finance & taxation
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653 |
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|a Saving
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653 |
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|a Unemployment: Models, Duration, Incidence, and Job Search
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653 |
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|a Fiscal Policy
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653 |
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|a Aggregate Labor Productivity
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653 |
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|a Unemployment
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653 |
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|a Fiscal policy
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653 |
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|a Aggregate Human Capital
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653 |
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|a National accounts
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653 |
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|a National Government Expenditures and Related Policies: General
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653 |
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|a Labor
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653 |
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|a Expenditure
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653 |
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|a Consumption; Economics
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653 |
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|a Labor Economics: General
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653 |
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|a Expenditures, Public
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653 |
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|a Consumption
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653 |
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|a Macroeconomics
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653 |
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|a Macroeconomics: Consumption
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653 |
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|a Fiscal stimulus
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653 |
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|a Wages
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653 |
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|a Intergenerational Income Distribution
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653 |
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|a Public Finance
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653 |
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|a Employment
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653 |
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|a Labor economics
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700 |
1 |
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|a Levine, Paul
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700 |
1 |
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|a Melina, Giovanni
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b IMF
|a International Monetary Fund
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490 |
0 |
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|a IMF Working Papers
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028 |
5 |
0 |
|a 10.5089/9781475595338.001
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856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2013/017/001.2013.issue-017-en.xml?cid=40259-com-dsp-marc
|x Verlag
|3 Volltext
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082 |
0 |
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|a 330
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520 |
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|a We analyse the effects of a government spending expansion in a DSGE model with Mortensen-Pissarides labour market frictions, deep habits in private and public consumption, investment adjustment costs, a constant-elasticity-of-substitution (CES) production function, and adjustments in employment both at the intensive as well as the extensive margin. The combination of deep habits and CES technology is crucial. The presence of deep habits magnifies the responses of macroeconomic variables to a fiscal stimulus, while an elasticity of substitution between capital and labour in the range of available estimates allows the model to produce a scenario compatible with the observed jobless recovery
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