arlionn 发表于 2013-10-1 23:49 
1. 可以选择其他变量,但我觉得通常而言,想说清楚这个变量是合理的工具变量并非易事。
2. 需要加入。作 ...
1. 可以选择其他变量,但我觉得通常而言,想说清楚这个变量是合理的工具变量并非易事。
我前面用2步GMM作为参照的时候,选择了工具变量的。如果工具变量是合理的话,要在xtdpd和 xtabond2中怎么加入其它工具变量呢?否则的话,直接选用内生变量的滞后项作为工具变量的话,在论文中怎么描述呢?
4. 不知你说提到的各种情况下,内生性检验、过度识别检验等各项检验的结果如何?
我进行的相关检验都通过了。
下面是不同因变量的结果
Underidentification test (Kleibergen-Paap rk LM statistic): 28.697
Chi-sq(3) P-val = 0.0000
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Weak identification test (Cragg-Donald Wald F statistic): 68.181
(Kleibergen-Paap rk Wald F statistic): 16.300
Stock-Yogo weak ID test critical values: 5% maximal IV relative bias 13.91
10% maximal IV relative bias 9.08
20% maximal IV relative bias 6.46
30% maximal IV relative bias 5.39
10% maximal IV size 22.30
15% maximal IV size 12.83
20% maximal IV size 9.54
25% maximal IV size 7.80
Source: Stock-Yogo (2005). Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
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Hansen J statistic (overidentification test of all instruments): 1.797
Chi-sq(2) P-val = 0.4071
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Instrumented: lnprca
Included instruments: hc1 invest0 patent_hunp roads_hunp bank lnlabcyp005
institution10
Excluded instruments: co2em1 lfprpt1 L.lnprca
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Underidentification test (Kleibergen-Paap rk LM statistic): 20.408
Chi-sq(3) P-val = 0.0001
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Weak identification test (Cragg-Donald Wald F statistic): 67.140
(Kleibergen-Paap rk Wald F statistic): 11.864
Stock-Yogo weak ID test critical values: 5% maximal IV relative bias 13.91
10% maximal IV relative bias 9.08
20% maximal IV relative bias 6.46
30% maximal IV relative bias 5.39
10% maximal IV size 22.30
15% maximal IV size 12.83
20% maximal IV size 9.54
25% maximal IV size 7.80
Source: Stock-Yogo (2005). Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
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Hansen J statistic (overidentification test of all instruments): 3.838
Chi-sq(2) P-val = 0.1468
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Instrumented: lnprca
Included instruments: hc1 invest0 patent_hunp roads_hunp bank lnlabcyp005
institution10 dum_yr2 dum_yr3 dum_yr4 dum_yr5 dum_yr6
dum_yr7 dum_yr8 dum_yr9 dum_yr10
Excluded instruments: co2em1 lfprpt1 L.lnprca
Dropped collinear: dum_yr11
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Underidentification test (Kleibergen-Paap rk LM statistic): 28.697
Chi-sq(3) P-val = 0.0000
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Weak identification test (Cragg-Donald Wald F statistic): 68.181
(Kleibergen-Paap rk Wald F statistic): 16.300
Stock-Yogo weak ID test critical values: 5% maximal IV relative bias 13.91
10% maximal IV relative bias 9.08
20% maximal IV relative bias 6.46
30% maximal IV relative bias 5.39
10% maximal IV size 22.30
15% maximal IV size 12.83
20% maximal IV size 9.54
25% maximal IV size 7.80
Source: Stock-Yogo (2005). Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
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Hansen J statistic (overidentification test of all instruments): 3.453
Chi-sq(2) P-val = 0.1779
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Instrumented: lnprca
Included instruments: hc1 invest0 patent_hunp roads_hunp bank lnlabcyp005
institution10
Excluded instruments: co2em1 lfprpt1 L.lnprca
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