Table A7. Testing the parallel trend...

Table A7.

Testing the parallel trend assumption

Panel A	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
F-test	0.61	0.35	0.44	1.81	1.87	0.12	0.20	0.32
	Food at home	Alcohol	Clothes	House rent	House investments	Health	Car value	Transport
p-value	0.4334	0.5558	0.5090	0.1781	0.1714	0.7266	0.6520	0.5725
Panel B	(9)	(10)	(11)	(12)	(13)	(14)	(15)	(16)
	Communication	Leisure	Education	Food out home	Holidays	Savings	Durables	Nondurables
F-test	0.08	0.18	0.02	0.85	2.85	0.53	0.20	1.01
p-value	0.7819	0.6720	0.8773	0.3568	0.0911	0.4684	0.6510	0.3155

Panel A	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
F-test	0.61	0.35	0.44	1.81	1.87	0.12	0.20	0.32
	Food at home	Alcohol	Clothes	House rent	House investments	Health	Car value	Transport
p-value	0.4334	0.5558	0.5090	0.1781	0.1714	0.7266	0.6520	0.5725
Panel B	(9)	(10)	(11)	(12)	(13)	(14)	(15)	(16)
	Communication	Leisure	Education	Food out home	Holidays	Savings	Durables	Nondurables
F-test	0.08	0.18	0.02	0.85	2.85	0.53	0.20	1.01
p-value	0.7819	0.6720	0.8773	0.3568	0.0911	0.4684	0.6510	0.3155

Source: Instituto Nacional de Estadística (INE). In this table we present the results for the parallel trend assumption test, where we expect households to not anticipate the lottery income shock on their consumption of different goods. In this case, we report the F-test results and the p-values below. The main conclusions from this table are that households who live in winning regions do not alter their consumption, prior to the reception of the lottery earnings and thus, the parallel trend assumption is satisfied. We use the time-varying treatment command, following the analysis in Cerulli and Ventura (2019)

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