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THE                      JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.81, # 2, 2024, pp. 30-59



                       Table 2 Summary Descriptive Statistics
                       Variables                 Full Sample         Women Sub        Men Sub
                                                                     Sample           Sample
                                                 Mean      Std. Dev.   Mean   Std. Dev.   Mean   Std.
                                                                                                Dev.
                       Outcome Variable
                       Log of  agricultural prod   5.849   1.640     5.744     1.576    5.880      1.657
                       Endogeneous variable
                       Women empowerment         .098      .977      .426      .881   -.014     .984
                       Instrument for the endogeneous variable
                       Cost of consultation_mpu   6.738    .945      6.772     .909   6.722     .961
                       Variables used to construct Women Empowerment Indicator
                       Formal edu (1= yes)       .066      .249      .052      .223   .071       .258
                       Professional edu (1= yes)    .457   .498      .312      .463   .507      .499
                       Responsibility in association    .125   .332   .099      .298   .135     .342
                       Assistance from family    .826      .378      .876      .329   .809      .393
                       Assistance from friends    .777     .415      .782      .413     .776      .416
                       Religious asso (1= yes)    .282     .449      .335      .472111   .263      .441
                       Support from association    .375    .484      .418      .493   .361      .480
                       Saving (1 = yes)          .038      .192      .034      .183   .039      .195
                        Shareholder (1= yes)     .256      .436      1      0         0             0
                       Exogeneous Characteristics
                       Access to financing       .064      .303      .053      .254     .068     .318
                       Married (1 =yes)          .577      .493      .211        .408       .703     .456
                       Access to credit          31.842    1027.30   8.131     129.82      40.011      1188.
                                                                                                6
                       Non poor (1= yes)         .709      .454      .743      .436           .697      .459
                       Log of fertilizer used    8.349     .455      8.286     .420   8.371       .465
                       Modern equipment          .0766     .265      .076   .266       .076      .265
                       Agric primary activity    2.301     3.210     1.819     2.211     2.467      3.474
                       Log of cost of seeds      1.806     1.165     1.707    1.053      1.83     1.194
                       Log of farm size          9.682     .602      9.585    .624    9.71      .590
                       Cost of fertilizer        8.967     126.16    3.899    49.851       10.713    143.2
                       Agricultural training     201.45    100.466   213.9    103.8     197.161     98.92
                       Household size            4.393     3.025     3.587  2.357          4.670     3.17
                                                                     7
                       Age                       42.01     15.43     45.67     16.466         40.74       14.85
                       Use specialized seeds     .043      .203      .034      .181             .046      .209
                       Urban residence           .370      .482      .366     .482     .371     .483
                       Control Variables (Predicted residuals and interaction terms)
                       Predicted women empowerment   1.94e-10   .963   .318      .903       -.138     .956
                       residual
                       Women empowerment*        .926      1.441     .868    1.237     .952      1.522
                       Predicted women empowerment
                       residual
                       Observation               11391     11391     3041   3041      8350      8350
                          Computed by author from ECAM4, using STATA 14.2

                    However  due  to  their  physical  demands  of  child-bearing  and  child-rearing
                    responsibilities  limit  their  ability  to  obtain  and pursue  formal  employment,  hence
                    women become confined to economic activities in which the uncertainty of being able
                    to work is relatively unimportant such as agriculture. This explains why the greater
                    percentage of women are involved in agriculture are married.



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