Table 2

Regression results and Shapley decomposition

D Scores (std.)Index (std.)Personal ViewPerceived Norm
Dep. VariableOLS
(1)
Shapley (%)
(2)
OLS
(3)
Shapley (%)
(4)
OLS
(5)
Shapley (%)
(6)
OLS
(7)
Shapley (%)
(8)
Respondent Type  74.9  20.3  0.6  0.2 
 Male 0.527**  0.439**  −0.025  −0.010  
 (0.057)  (0.053)  (0.064)  (0.053)  
Region  9.2  57.8  46.4  92.9 
 Gegharkunik 0.176**  0.492**  0.386**  0.086  
 (0.065)  (0.060)  (0.073)  (0.061)  
 Syunik −0.040  −0.236**  −0.334**  −0.558**  
 (0.059)  (0.055)  (0.067)  (0.055)  
Socioeconomic Status  16.0  22.0  53.0  6.9 
 Income level 0.012  0.076**  −0.075**  0.006  
 (0.021)  (0.020)  (0.024)  (0.020)  
 Education level −0.031  −0.075**  −0.149**  −0.019  
 (0.029)  (0.027)  (0.033)  (0.027)  
 Year of birth −0.003  −0.004  −0.015**  −0.002  
 (0.002)  (0.002)  (0.002)  (0.002)  
 Agriculture 0.010  −0.127  0.040  −0.015  
 (0.095)  (0.088)  (0.107)  (0.088)  
 Commerce and private business −0.060  −0.110  0.176  0.072  
 (0.084)  (0.078)  (0.094)  (0.078)  
 Construction 0.026  −0.049  0.364*  0.109  
 (0.132)  (0.123)  (0.149)  (0.123)  
 Government, intergovernmental organization, or NGO employee 0.034  −0.126*  0.113  0.087  
 (0.065)  (0.061)  (0.074)  (0.061)  
 Pay by the day 0.048  −0.226  −0.259  0.050  
 (0.131)  (0.122)  (0.148)  (0.122)  
Constant 5.037  7.187  29.981**  4.174  
 (4.015)  (3.733)  (4.532)  (3.743)  
N 1,804  1,804  1,804  1,804  
Overall R2 .065  .146  .130  .087  
F Statistic Model 11.363  27.904  24.405  15.534  
D Scores (std.)Index (std.)Personal ViewPerceived Norm
Dep. VariableOLS
(1)
Shapley (%)
(2)
OLS
(3)
Shapley (%)
(4)
OLS
(5)
Shapley (%)
(6)
OLS
(7)
Shapley (%)
(8)
Respondent Type  74.9  20.3  0.6  0.2 
 Male 0.527**  0.439**  −0.025  −0.010  
 (0.057)  (0.053)  (0.064)  (0.053)  
Region  9.2  57.8  46.4  92.9 
 Gegharkunik 0.176**  0.492**  0.386**  0.086  
 (0.065)  (0.060)  (0.073)  (0.061)  
 Syunik −0.040  −0.236**  −0.334**  −0.558**  
 (0.059)  (0.055)  (0.067)  (0.055)  
Socioeconomic Status  16.0  22.0  53.0  6.9 
 Income level 0.012  0.076**  −0.075**  0.006  
 (0.021)  (0.020)  (0.024)  (0.020)  
 Education level −0.031  −0.075**  −0.149**  −0.019  
 (0.029)  (0.027)  (0.033)  (0.027)  
 Year of birth −0.003  −0.004  −0.015**  −0.002  
 (0.002)  (0.002)  (0.002)  (0.002)  
 Agriculture 0.010  −0.127  0.040  −0.015  
 (0.095)  (0.088)  (0.107)  (0.088)  
 Commerce and private business −0.060  −0.110  0.176  0.072  
 (0.084)  (0.078)  (0.094)  (0.078)  
 Construction 0.026  −0.049  0.364*  0.109  
 (0.132)  (0.123)  (0.149)  (0.123)  
 Government, intergovernmental organization, or NGO employee 0.034  −0.126*  0.113  0.087  
 (0.065)  (0.061)  (0.074)  (0.061)  
 Pay by the day 0.048  −0.226  −0.259  0.050  
 (0.131)  (0.122)  (0.148)  (0.122)  
Constant 5.037  7.187  29.981**  4.174  
 (4.015)  (3.733)  (4.532)  (3.743)  
N 1,804  1,804  1,804  1,804  
Overall R2 .065  .146  .130  .087  
F Statistic Model 11.363  27.904  24.405  15.534  

Notes: The results in this table are based on our representative sample, which excludes households living in communities that we have specifically targeted because of their extreme sex ratios at birth. See section A.1 of the online appendix for details about our two-stage sampling approach. D scores and index values are standardized to have unit variance so that coefficients on correlates are comparable. The variables in columns 5 through 8 are constructed from responses to the questions about the Armenian adage discussed in the main text. We encode the responses by assigning values between 1 (strongly disagree) and 5 (strongly agree). For occupations, the excluded category is “Housework or other.” Standard errors are shown in parentheses.

p < .10; *p < .05; **p < .01

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