Table B.1.

Effect of femicide news on helpline calls, robustness tests.

	(1)	(2)	(3)	(4)	(5)	(6)
t $-$ 4 or earlier	−0.014	−0.014	−0.014	0.002	−0.008	−0.007
	(0.014)	(0.015)	(0.015)	(0.011)	(0.013)	(0.026)
t $-$ 3	−0.013	−0.014	−0.014	0.009	0.002	0.009
	(0.017)	(0.018)	(0.018)	(0.021)	(0.022)	(0.042)
t $-$ 2	0.024	0.023	0.023	0.044	0.024	0.049
	(0.032)	(0.032)	(0.032)	(0.027)	(0.025)	(0.046)
t	0.004	0.003	0.003	0.008	−0.015	−0.023
	(0.018)	(0.018)	(0.018)	(0.020)	(0.022)	(0.042)
t$+$1	0.052***	0.050***	0.050***	0.059***	0.081***	0.137***
	(0.014)	(0.014)	(0.014)	(0.020)	(0.025)	(0.041)
t$+$2	0.024	0.022	0.022	0.042*	−0.008	−0.013
	(0.023)	(0.023)	(0.023)	(0.023)	(0.024)	(0.046)
t$+$3	−0.012	−0.014	−0.014	−0.035	−0.029	−0.050
	(0.019)	(0.019)	(0.020)	(0.022)	(0.018)	(0.036)
t$+$4or later	−0.008	−0.009	−0.009	−0.005	−0.016	−0.028
	(0.013)	(0.013)	(0.014)	(0.013)	(0.013)	(0.026)
Observations	28,231	28,231	28,231	27,972	28,231	28,231
R-squared	0.311	0.319	0.319	0.464	0.165
Population-weighted	✓	✓	✓	✓
Violence linear trends	✓
Poverty linear trends		✓
Education linear trends			✓
Province-Year FE				✓
Week-Year-Region FE				✓
Estimator	OLS	OLS	OLS	OLS	OLS	PPML

Note: The baseline period is $t-1$ (one week prior to the event of interest). The dependent variable is the number of calls to the 1522 helpline per 100,000 population. Population-weighted estimates include province and week-year fixed effects. Columns 1 to 3: province-specific linear trends based on the total number of female homicides (violence), the incidence of households in potential economic distress (poverty) and the incidence of illiterates (education). Column 4 includes province-year and week-year-region fixed effects. Column 5 reports unweighted results. In column 6 the model is estimated using the Poisson’s pseudo log-likelihood model (PPML). Standard errors are clustered at province level. *** p $<$ 0.01, ** p $<$ 0.05, * p $<$ 0.1.