Tuning in RBC Growth Spectra /

For US postwar data, the paper explains central consumption, labor, investment and output correlations and volatilities along with output growth persistence by including a human capital investment sector and a variable physical capital utilization rate. Strong internal "amplication" result...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Benk, Szilard
Άλλοι συγγραφείς: Csabafi, Tamas, Dang, Jing, Gillman, Max
Μορφή: Επιστημονικό περιοδικό
Γλώσσα:English
Έκδοση: Washington, D.C. : International Monetary Fund, 2016.
Σειρά:IMF Working Papers; Working Paper ; No. 2016/215
Διαθέσιμο Online:Full text available on IMF
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100 1 |a Benk, Szilard. 
245 1 0 |a Tuning in RBC Growth Spectra /  |c Szilard Benk, Tamas Csabafi, Jing Dang, Max Gillman. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 2016. 
300 |a 1 online resource (54 pages) 
490 1 |a IMF Working Papers 
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500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
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520 3 |a For US postwar data, the paper explains central consumption, labor, investment and output correlations and volatilities along with output growth persistence by including a human capital investment sector and a variable physical capital utilization rate. Strong internal "amplication" results from an economy-wide productivity shock across goods and human capital investment sectors that has variances 10,000 fold smaller than in the standard RBC TFP shock. Simulated moments are compared to data moments for the business cycle, the low frequency and the Medium Cycle frequency, as well as the high frequency. A metric is provided to gauge that the results have an average of 46% deviation of simulated moments from data moments, for a broad array of targets across all windows. Within this array, key correlations have only a 15% deviation in the business cycle window, and growth persistence only an 8% deviation in the low frequency, which indicates good "propagation". Countercyclic human capital investment time and procyclic physical capital capacity utilization rates are also found as in data. 
538 |a Mode of access: Internet 
700 1 |a Csabafi, Tamas. 
700 1 |a Dang, Jing. 
700 1 |a Gillman, Max. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2016/215 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2016/215/001.2016.issue-215-en.xml  |z IMF e-Library