|
|
|
|
| LEADER |
02377cas a2200241 a 4500 |
| 001 |
AALejournalIMF011298 |
| 008 |
230101c9999 xx r poo 0 0eng d |
| 020 |
|
|
|c 5.00 USD
|
| 020 |
|
|
|z 9781463903497
|
| 022 |
|
|
|a 1018-5941
|
| 040 |
|
|
|a BD-DhAAL
|c BD-DhAAL
|
| 100 |
1 |
|
|a Kryshko, Maxym.
|
| 245 |
1 |
0 |
|a Data-Rich DSGE and Dynamic Factor Models /
|c Maxym Kryshko.
|
| 264 |
|
1 |
|a Washington, D.C. :
|b International Monetary Fund,
|c 2011.
|
| 300 |
|
|
|a 1 online resource (49 pages)
|
| 490 |
1 |
|
|a IMF Working Papers
|
| 500 |
|
|
|a <strong>Off-Campus Access:</strong> No User ID or Password Required
|
| 500 |
|
|
|a <strong>On-Campus Access:</strong> No User ID or Password Required
|
| 506 |
|
|
|a Electronic access restricted to authorized BRAC University faculty, staff and students
|
| 520 |
3 |
|
|a Dynamic factor models and dynamic stochastic general equilibrium (DSGE) models are widely used for empirical research in macroeconomics. The empirical factor literature argues that the co-movement of large panels of macroeconomic and financial data can be captured by relatively few common unobserved factors. Similarly, the dynamics in DSGE models are often governed by a handful of state variables and exogenous processes such as preference and/or technology shocks. Boivin and Giannoni(2006) combine a DSGE and a factor model into a data-rich DSGE model, in which DSGE states are factors and factor dynamics are subject to DSGE model implied restrictions. We compare a data-richDSGE model with a standard New Keynesian core to an empirical dynamic factor model by estimating both on a rich panel of U.S. macroeconomic and financial data compiled by Stock and Watson (2008).We find that the spaces spanned by the empirical factors and by the data-rich DSGE model states are very close. This proximity allows us to propagate monetary policy and technology innovations in an otherwise non-structural dynamic factor model to obtain predictions for many more series than just a handful of traditional macro variables, including measures of real activity, price indices, labor market indicators, interest rate spreads, money and credit stocks, and exchange rates.
|
| 538 |
|
|
|a Mode of access: Internet
|
| 830 |
|
0 |
|a IMF Working Papers; Working Paper ;
|v No. 2011/216
|
| 856 |
4 |
0 |
|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2011/216/001.2011.issue-216-en.xml
|z IMF e-Library
|