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International Journal of
            Population Studies                                                    Droughts and intimate partner violence




            Table 4. Subsample analysis
                                     Model with the urban sample and full controls   Model with the rural sample and full controls
                                      (1)           (2)          (3)          (4)           (5)          (6)
            Variables                PV          SV             EV           PV           SV            EV
            Year                     1.150       0.729          0.824        1.085        0.889         1.069
            Base: 2015 – 2016        (0.143)     (0.184)        (0.133)      (0.0811)     (0.105)       (0.102)
            Drought: yes             1.531**     1.016          1.032        1.571***     0.387***      1.016
            (Base: no)               (0.272)     (0.375)        (0.232)      (0.179)      (0.0616)      (0.126)
            Year*Drought             1.447       1.980*         1.542        1.496**      1.067         1.460**
                                     (0.407)     (0.779)        (0.417)      (0.285)      (0.233)       (0.235)
            Respondent-level controls  Y         Y              Y            Y            Y             Y
            Partner level controls   Y           Y              Y            Y            Y             Y
            Household-level controls  Y          Y              Y            Y            Y             Y
            District fixed effects   Y           Y              Y            Y            Y             Y
            Constant                 1.042       0.00496***     0.0946*      0.126***     0.0210***     0.173***
                                     (1.448)     (0.00628)      (0.116)      (0.0973)     (0.00930)     (0.105)
            Pseudo R 2               0.2984      0.3135         0.3179       0.2286       0.2153        0.2239
            Observations             7,861       5,561          7,345        21,781       19,908        21,523
            Note: Robust standard errors in parentheses; ***p<0.01, **p<0.05, *p<0.1.
            Source: Authors’ computation using unit-level data from NFHS-4 and NFHS-5.
            Abbreviations: PV: Physical violence; SV: Sexual violence; EV: Emotional violence.


            the  treatment and comparison groups, comparing  the   We begin by exploring how the number of reported
            “before” and “after” periods. Although the proportion   control issues changed between 2015 – 2016 and 2019 –
            of respondents reporting PV increased only marginally   2021. We calculated the point-biserial correlation between
            and insignificantly for the comparison group states, it   the variables “year” and “number of control issues reported”
            increased by approximately 13% points for the treatment   for the states exposed and not exposed to drought. As stated,
            group (Andhra Pradesh and Karnataka). This increase was   “year” is a binary variable (0 for NFHS-4 (2015 – 2016) and
            statistically significant at the p = 0.01 level. The proportion   1 for NFHS-5 (2019 – 2021)). The variable representing
            of respondents reporting SV decreased over time in the   the number of control issues faced ranges from 0 to 6. The
            comparison group but increased in the treatment group.   point-biserial correlation between “year” and “number of
            This change in SV over time was statistically significant at   control issues reported” for the comparison group (states
            the p = 0.01 level for both groups. EV increased by about   not exposed to drought) is −0.0142; (n = 29652; p < 0.05).
            9 percentage points for the treatment group, a change that   The negative correlation coefficient indicates that the
            was statistically significant at the p = 0.01 level, whereas it   number of control issues faced by respondents from non-
            increased insignificantly in the comparison group. Thus, all   drought-exposed states decreased over time. Although the
            forms of IPV registered a statistically significant increase in   correlation is statistically significant, it is not substantively
            the treatment group, unlike in the comparison group.  significant.

            3.2.3. Controlling behavior of partners in the       For the states exposed to drought, the point-biserial
            treatment and comparison groups                    correlation coefficient is 0.1382 (n = 4938;  p < 0.01).
                                                               The positive, substantively and statistically significant
            Several studies have linked controlling behavior by   correlation coefficient indicates the respondents in
            intimate partners with IPV in women (Antai, 2011;
            Dhanaraj & Mahambare, 2021). We test our first hypothesis   drought-exposed states reported a significantly higher
            that there is no difference in the controlling behavior of   number of control issues from their intimate partners.
            intimate partners between states exposed to rainfall shocks   We further explored whether respondents with
            (treatment group) and those not exposed (comparison   controlling partners reported a higher incidence of PV
            group). The NFHS asks respondents about the number of   by calculating the point-biserial correlation between the
            “control issues” they face.                        number of control issues and the incidence of PV for the


            Volume 11 Issue 4 (2025)                        77                        https://doi.org/10.36922/ijps.3065
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