|
|
|
|
| LEADER |
02232nmm a2200469 u 4500 |
| 001 |
EB000929753 |
| 003 |
EBX01000000000000000723349 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
150128 ||| eng |
| 020 |
|
|
|a 9781451869385
|
| 100 |
1 |
|
|a Österholm, Pär
|
| 245 |
0 |
0 |
|a Does Money Matter for U.S. Inflation? Evidence from Bayesian VARs
|c Pär Österholm, Helge Berger
|
| 260 |
|
|
|a Washington, D.C.
|b International Monetary Fund
|c 2008
|
| 300 |
|
|
|a 17 pages
|
| 651 |
|
4 |
|a United States
|
| 653 |
|
|
|a Inflation
|
| 653 |
|
|
|a Monetary economics
|
| 653 |
|
|
|a Economic Forecasting
|
| 653 |
|
|
|a Deflation
|
| 653 |
|
|
|a Monetary Policy, Central Banking, and the Supply of Money and Credit: General
|
| 653 |
|
|
|a Monetary aggregates
|
| 653 |
|
|
|a Economic forecasting
|
| 653 |
|
|
|a Money
|
| 653 |
|
|
|a Forecasting
|
| 653 |
|
|
|a Money supply
|
| 653 |
|
|
|a Price Level
|
| 653 |
|
|
|a Monetary base
|
| 653 |
|
|
|a Demand for Money
|
| 653 |
|
|
|a Forecasting and Other Model Applications
|
| 653 |
|
|
|a Demand for money
|
| 653 |
|
|
|a Prices
|
| 653 |
|
|
|a Macroeconomics
|
| 653 |
|
|
|a Money and Monetary Policy
|
| 700 |
1 |
|
|a Berger, Helge
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b IMF
|a International Monetary Fund
|
| 490 |
0 |
|
|a IMF Working Papers
|
| 028 |
5 |
0 |
|a 10.5089/9781451869385.001
|
| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2008/076/001.2008.issue-076-en.xml?cid=21744-com-dsp-marc
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 330
|
| 520 |
|
|
|a We use Bayesian estimation techniques to investigate whether money growth Granger-causes inflation in the United States. We test for Granger-causality out-of-sample and find, perhaps surprisingly given recent theoretical arguments, that including money growth in simple VAR models of inflation does systematically improve out-of-sample forecasting accuracy. This holds for a long forecasting sample 1960-2005, as well for more recent subperiods, including the Volcker and Greenspan eras. However, the contribution of money to inflation forecasting accuracy is quantitatively limited and tends to be smaller in recent subperiods, in particular in models that also include information on real GDP growth and interest rates
|