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. Author manuscript; available in PMC: 2016 Jul 1.
Published in final edited form as: Rev Econ Stat. 2015 Jul 14;97(3):589–609. doi: 10.1162/REST_a_00461

Table 3.

Wald Tests for Assesing the Relative Importance of Winter Volatility

(1) (2) (3) (4) (5) (6)

χ2(1) Statistic from Wald Tests of the Null Hypotheses that the
Effects of Winter Volatility are not Different from the Effects of:
Spring Volatility Summer Volatility Autumn Volatility



Baseline
Model
Full
Model
Baseline
Model
Full
Model
Baseline
Model
Full
Model



Test on the First-Order Effect 2.490
[0.115]
0.438
[0.508]
1.075
[0.300]
1.846
[0.174]
3.844**
[0.050]
0.774
[0.379]
Test on the Second-Order Effect 6.426**
[0.011]
5.034**
[0.025]
2.087
[0.149]
5.082**
[0.024]
4.215**
[0.040]
2.033
[0.154]

Notes:

(i)

Odd-numbered columns of this table compare the relevant coefficient estimates from the specification presented in Column 7 of Table 2 with corresponding ones presented in Columns 1, 3, and 5, respectively, of that table;

(ii)

Even-numbered columns of this table compare the relevant coefficient estimates from the specification presented in Column 8 of Table 2 with corresponding ones presented in Columns 2, 4, and 6, respectively, of that table;

(iii)

p-values of the χ2(1) statistics are reported in square brackets;

(iv)

*** denotes statistical significance at the 1% level, ** at the 5% level, and * at the 10% level.