Table 2: Estimation with Inferred Static Gap: Macroeconomic Data
Data |
Driving force ρ (annual) |
Increase in R2 |
BLS, as in CE (1993) |
0.13 | |
Sim. Quadr. Adj. |
1.00 |
0.00 |
Sim. Quadr. Adj., |
0.75a |
0.01 |
Sim. Quadr. Adj. as in CW (2001) |
0.47 |
0.03 |
Sim. Quadr. Adj., as in CW (2004) |
____________0.28____________ |
0.05 |
‘Increase in R2’ denotes the difference between the R2 obtained when estimating a model with a non-
constant hazard and the R2 when imposing a constant hazard, in both cases using the methodology in CE
(1993). ‘Sim. Quadr. Adj.’ stands for ‘Simulated Quadratic Adjustment’.
aThis value of ρ is somewhat below both the value in the driving force used in CE and the values used when
calibrating RBC models (see Cooley and Prescott, 1995).
12
More intriguing information
1. WP 36 - Women's Preferences or Delineated Policies? The development or part-time work in the Netherlands, Germany and the United Kingdom2. INSTITUTIONS AND PRICE TRANSMISSION IN THE VIETNAMESE HOG MARKET
3. The name is absent
4. A Pure Test for the Elasticity of Yield Spreads
5. Monetary Policy News and Exchange Rate Responses: Do Only Surprises Matter?
6. Policy Formulation, Implementation and Feedback in EU Merger Control
7. The name is absent
8. Fiscal Reform and Monetary Union in West Africa
9. PROFITABILITY OF ALFALFA HAY STORAGE USING PROBABILITIES: AN EXTENSION APPROACH
10. The urban sprawl dynamics: does a neural network understand the spatial logic better than a cellular automata?