TABLE 6

Determinants of Women’s Participation in Agricultural Decision-making According to Women and Men: Parcel-Level Tobit Model with Random Effects, Ecuador 2010 (Paired Sample)

Women’s Model Coef. (Std. Err.)Men’s Model Coef. (Std. Err.)
Wife is joint land ownera−0.892*** (0.25)0.321 (0.21)
Predicted wife’s share of wealth−3.039 (2.71)4.514*** (1.04)
Predicted that wife does field work1.137** (0.57)0.524* (0.31)
Predicted that wife works off−farm−1.322** (0.56)1.337*** (0.34)
Wife’s age−0.023** (0.01)−0.003 (0.01)
Age differenceb−0.011 (0.02)0.022* (0.01)
Wife’s years of schooling−0.034 (0.03)−0.068*** (0.02)
Schooling differenceb0.006 (0.03)−0.019 (0.01)
Couple is indigenous0.240 (0.33)0.644*** (0.20)
Annual cropc−0.126 (0.20)0.350*** (0.09)
Couple wealth
  Tertile 1 (lowest third)−0.150 (0.22)−0.054 (0.13)
  Tertile 2 (middle third)−0.023 (0.17)−0.096 (0.16)
Number of adults (besides principal couple) in the household0.027 (0.07)0.010 (0.03)
Rural−0.201 (0.31)−0.145 (0.13)
Constant4.857*** (1.50)−2.021*** (0.62)
Number of plots182182
Number of households145145
Wald chi−squared (df)81.99 (14)113.51 (14)
Log−likelihood−121.47***−125.71***
  • Source: Data from EAFF 2010.

  • a Base category: wife is the individual owner (according to women) or wife is not an owner (according to men).

  • b The difference between men’s and women’s age and years of schooling (husband – wife).

  • c Base category: perennials, forage, or trees grown on parcel.

  • * p<0.10;

  • ** p<0.05; and

  • *** p<0.01.