Table 1. OLS regressions for the relationship between CBI and inflation
|
Period and CBI proxy: |
CBI coefficient |
t-statistic |
R2 (adj.) |
No. obs. |
|
Bivariate models | ||||
|
(1) 1980-89; new TOR |
30.55 |
2.57 *** |
0.20 |
76 |
|
(2) 1980-89; Cukierman TOR |
39.20 |
2.76 ** |
020 |
46 |
|
(3) 1990-98; new TOR |
23.26 |
2.30 ** |
0TÎ |
76 |
|
Multivariate mode |
s | |||
|
(4) 1980-89; new TOR |
14.61 |
1.33 |
0.46 |
55 |
|
(5) 1980-89; Cukierman TOR |
24.04 |
1.70 * |
0.53 |
29 |
|
(6) 1990-98; new TOR |
15.34 |
152 |
027 |
63 |
Note: heteroscedasticity-consistent t-ratios (White, 1980). In the regressions for the multivariate model
political instability, openness, the log of GDP per capita, a dummy for the exchange rate regime and the
debt-to-GDP ratio are included as control variables. *,**,*** denote 10%, 5%, and 1% significance
levels, respectively.
More intriguing information
1. Lumpy Investment, Sectoral Propagation, and Business Cycles2. Forecasting Financial Crises and Contagion in Asia using Dynamic Factor Analysis
3. Effort and Performance in Public-Policy Contests
4. Does Presenting Patients’ BMI Increase Documentation of Obesity?
5. Spatial Aggregation and Weather Risk Management
6. An Interview with Thomas J. Sargent
7. Palvelujen vienti ja kansainvälistyminen
8. DISCUSSION: POLICY CONSIDERATIONS OF EMERGING INFORMATION TECHNOLOGIES
9. The name is absent
10. Comparative study of hatching rates of African catfish (Clarias gariepinus Burchell 1822) eggs on different substrates