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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Curr Anthropol. 2015 Nov 3;57(6):761–784. doi: 10.1086/689307

Table 3.

Association between hunting knowledge/local environmental knowledge and hunting returns

Hunting returns (Kg/hour)

H1 H3 H4
Model 1 (Sites) Model 2 (Villages) Model 3 (Sites) Model 4 (Villages) Model 5 (Sites) Model 6 (Villages)

First part: Logistic regression

Hunting knowledge 0.868** 0.882** 0.883** 0.919*
(0.347) (0.392) (0.397) (0.495)
LEK 0.918** 0.992**
(0.379) (0.398)
Male -0.037 0.087 0.450 0.577 -0.035 0.064
(0.509) (0.484) (0.426) (0.563) (0.515) (0.695)
Age -0.012 -0.012 -0.022* -0.023 -0.006 -0.005
(0.011) (0.012) (0.012) (0.015) (0.012) (0.016)
Household size -0.058 -0.039 -0.054 -0.032 -0.057 -0.037
(0.057) (0.061) (0.052) (0.062) (0.053) (0.058)
Hunting effort 13.95* 14.099* 13.546*** 13.676* 13.80*** 13.87*
(7.935) (8.113) (3.702) (7.324) (3.937) (8.003)
Traditional weapon 2.106*** 2.335*** 2.218*** 2.455*** 2.170*** 2.465***
(0.551) (0.495) (0.662) (0.456) (0.652) (0.529)
Exposure to national society 0.287 0.372
(0.237) (0.310)
Integration into market economy -0.073 -0.089
(0.213) (0.253)
Wage labor -0.007 -0.008*
(0.005) (0.004)
Tsimane’ 2.978*** 2.943*** 3.284***
(0.739) (0.678) (0.743)
Baka 1.952*** 1.957*** 2.217***
(0.690) (0.688) (0.788)
V1: Sta Maria 2.196*** 2.185*** 2.437***
(0.315) (0.278) (0.386)
V2:Cuchisama 2.464*** 2.401*** 2.803***
(0.353) (0.335) (0.542)
V3:Ngola 1.501*** 1.577*** 1.738***
(0.241) (0.154) (0.472)
V4: Bizam 0.714** 0.582** 0.883**
(0.306) (0.266) (0.421)
V5:Long Ranau -1.538*** -1.512*** -1.743***
(0.487) (0.534) (0.549)
Intercept -3.109** -2.591** -3.009*** -2.467** -3.499*** -2.992**
(1.320) (1.146) (0.859) (1.106) (0.998) (1.476)

Second part: Ordinary Least Square regression

Hunting knowledge 0.840** 0.654* 0.825** 0.597
(0.330) (0.352) (0.398) (0.410)
LEK 0.491 0.397
(0.304) (0.244)
Male -0.714 -0.624 -0.173 -0.211 -0.840 -0.789*
(0.508) (0.498) (0.475) (0.462) (0.713) (0.431)
Age -0.013** -0.010 -0.015* -0.011 -0.013 -0.007
(0.007) (0.010) (0.008) (0.010) (0.010) (0.010)
Household size 0.064*** 0.051 0.065 0.052* 0.053 0.041
(0.025) (0.032) (0.046) (0.030) (0.045) (0.034)
Hunting effort -0.087 0.112 0.267 0.364 -0.183 0.066
(1.150) (1.255) (1.497) (1.113) (1.492) (1.316)
Traditional weapon -0.825 -1.004 -0.867 -1.063 -0.797 -1.038
(1.004) (1.045) (1.310) (1.102) (1.296) (1.171)
Exposure to national society 0.035 0.071
(0.201) (0.177)
Integration into market economy 0.314 0.336*
(0.267) (0.184)
Wage labor 0.0002 0.002
(0.004) (0.004)
Tsimane’ -3.675*** -3.826*** -4.001***
(1.423) (1.394) (1.401)
Baka -3.993*** -3.898*** -3.770***
(0.954) (0.786) (0.873)
V1: Sta Maria -2.887*** -2.969*** -3.419***
(0.816) (0.879) (0.876)
V2:Cuchisama -2.766*** -2.755*** -2.977***
(0.824) (0.854) (0.912)
V3:Ngola -3.003*** -2.815*** -2.676***
(0.336) (0.241) (0.482)
V4: Bizam -2.857*** -2.727*** -2.556***
(0.464) (0.378) (0.586)
V5:Long Ranau 1.769*** 1.957*** 1.813***
(0.142) (0.099) (0.165)
Intercept 5.678*** 4.717*** 5.458*** 4.466*** 5.8037*** 4.717***
(1.724) (1.148) (1.486) (1.080) (1.6134) (1.281)

N 393 393 393 393 387 387

AIC 1174.4941 1162.9981 1192.9595 1163.0236 1178.5353 1137.5780
BIC 1214.2322 1202.7361 1264.4881 1202.7617 1273.5375 1177.1623

Note: Standard errors in parenthesis. Results of a two part model, where the first part assesses the probability of depvar being bigger than 0 (depvar>0) using a logit binary choice model and the second part models the distribution of depvar | depvar>0 using a standard OLS model (regress). For definition of variables see Table 1.*p< 0.10, **p< 0.05, ***p< 0.01.^ variable intentionally omitted from analysis.