A short introduction to the computation of standard errors for AF Measures
Watch the video (includes video guide)
Key readings covered in this lecture
Deaton, A. (1997). The analysis of household surveys. A microeconometric approach to development policy. The World Bank
Yalonetzky, G (2011). A note on the standard errors of the members of the Alkire Foster family and its components. OPHI Working Paper 25a (work in progress)
Lynn, P. (2007). Hypothesis testing using complex survey data. Course presented at the University of Essex
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.
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