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Video
Guide to video
00:00 Introduction to standard error and the two different types; statistical and analytical standard errors, here the analytical (sub population) approach is applied
10:45 Outline of the lecture
Part 1: The Formulas of Standard Error Computations in the AF method
12:57 Define and describe standard errors in general (sub-population approach)
17:04 Computing the standard errors of the censored headcount
24:15 Computing the asymptotic standard errors of the average deprivation score (Yalonetzky (2011))
33:17 Computing the standard errors for percentage change over time
35:16 Computations in cross section data
36:21 Computations in panel data
Part 2: The Importance of Survey Design for Standard Error Computations
39:17 Computing standard errors in complex surveys (Deaton (1997))
40:52 Define strata
43:08 Define cluster
45:48 Define sample weight
48:18 Explain the STATA command: SVY for computing standard errors
54:16 An example that shows that sample design is not a trivial matter (Lynn (2007))
59:40 Concluding remarks, comparing the sub and final population approach to standard errors.