Table 8.8 Random effects reduced form interval regression for intensity of cultivation and log
(village area) in forest reserve villages, Chiang Mai, Thailand 1986–1996
Random effects interval regression
instrumental variables (intensity of
cultivation)
Instrumental variables
random effects (agricultural
area)
(1)
(2)
NPR dummy ¼1 À71.091
À0.651
(2.15)*
(À0.35)
Year
À0.269
À0.022
(À1.26)
(1.76)þ
(NPR ¼1)*year
0.485
0.018
(À1.43)
(0.86)
Log (Village
Population)
0.328
0.427
(0.2)
(5.33)**
(NPR ¼1)*Log
(Village Popn)
0.083
0.021
(0.04)
(0.21)
Log(Travel time
to market)
À2.868
0.158
(2.91)**
(4.04)**
(NPR ¼1)*Log
(Tr time to mkt.)
3.212
À0.126
(2.52)*
(2.59)**
Short run water
dummy
5.716
À0.055
(3.87)**
(À1.12)
(NPR ¼1)*SR
water dummy
À4.11
0.005
(1.92)þ
(0.08)
LR water
dummy
À3.06
À0.041
(À1.37)
(À0.62)
(NPR ¼1)*LR
water dummy
3.343
0.145
(1.1)
(1.52)
Proportion of
adults
À7.157
À0.056
(À1.16)
(À0.31)
(NPR ¼1)
*Propn of adults
28.112
0.227
(3.25)**
(0.83)
Acidic soil
dummy
À7.973
À0.28
(3.82)**
(4.13)**
(NPR ¼1)
*Acidic soil
dummy
À0.85
0.314
(À0.3)
(3.22)**
BAAC credit use
dummy
4.93
1.11
(1.09)
(2.41)*
(NPR ¼1)
*BAAC credit
dummy
À1.904
À0.83
(À0.28)
(À1.32)
Constant
104.437
4.339
(4.88)**
(3.94)**
Observations
2204
1989
Number of ID
628
622
Source: Data provided by Thammasat University, Thailand
NPR ¼ 1 if villages have no secure property rights; ¼ 0 otherwise. ** significant at 1 % level;
*significant at 5 % level; þ significant at 10 % level
8 Using Mixed Methods to Assess Trade-Offs Between Agricultural Decisions. . .
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