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All-women factor in trend analysis [message #26284]

Fri, 03 March 2023 09:44

Serala
Messages: 12
Registered: February 2023

Member

Dear forum users,

I am planning to do a difference-in-differences analysis using Nepal DHS 2001, 2006, 2011, and 2016, the women's IR recode. I have appended the data to include all these survey rounds and I have identified a control group and treatment group. I am now trying to do a graphical analysis to see whether the treatment and control group have similar trends in women's educational and employment outcomes.

However, I just noticed that the 2001 NDHS is an ever-married sample while the other rounds are all-women samples. So my question is, how can I make the samples comparable, for example when looking at the trend in the total years of education for women? I assume I have to use the AWFACTE for education, but how? And what about employment outcomes? All help would be very much appreciated!

Best regards,
Serala

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[Message index]

		All-women factor in trend analysis By: Serala on Fri, 03 March 2023 09:44
		Re: All-women factor in trend analysis By: Serala on Fri, 03 March 2023 09:50
		Re: All-women factor in trend analysis By: Bridgette-DHS on Fri, 03 March 2023 12:28
		Re: All-women factor in trend analysis By: Serala on Mon, 06 March 2023 07:48
		Re: All-women factor in trend analysis By: Bridgette-DHS on Mon, 06 March 2023 08:19
		Re: All-women factor in trend analysis By: Serala on Mon, 06 March 2023 08:23
		Re: All-women factor in trend analysis By: Serala on Tue, 14 March 2023 04:32
		Re: All-women factor in trend analysis By: Bridgette-DHS on Tue, 14 March 2023 13:26
		Re: All-women factor in trend analysis By: Serala on Wed, 15 March 2023 04:14
		Re: All-women factor in trend analysis By: Serala on Fri, 21 April 2023 05:27
		Re: All-women factor in trend analysis By: Bridgette-DHS on Fri, 21 April 2023 09:23
		Re: All-women factor in trend analysis By: Serala on Mon, 24 April 2023 03:27
		Re: All-women factor in trend analysis By: Bridgette-DHS on Mon, 24 April 2023 12:19
		Re: All-women factor in trend analysis By: Serala on Tue, 25 April 2023 03:09

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