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Audio
Video (with guide)
Guide to the video
Introduction
00:44 Outline of lecture
Descriptive analysis using time series data
1:28 Introduction to time series analysis and importance of surveys
3: 46 Notation
4:49 The rate of absolute change
8:55 Reference periods in comparison of two countries
10:00 The rate of relative change
11:51 Example for annualized changes (absolute and relative) using data from Nepal, Peru, Rwanda and Senegal
15:34 Annualized absolute change in MPI across time
18:42 Performance calculated according to relative change
19:20 Accounting for population numbers
20:26 Rate of reduction in the headcount ratio
21:19 Importance of demographic shifts
23:44 Calculating and interpreting dimensional changes using the example of Nepal
30:10 Comparison of censored and uncensored headcount
36:00 Subgroup decompositions
Chronic poverty measurement using panel data
41:12 Introduction
42:45 Concept of chronic poverty in multidimensional data
44:34 Focus of lecture
45:20 Calculate M0 to measure chronic poverty using achievement matrix
54:40 Transient poor
1:00: 22 Dimensional indices for chronic multidimensional poverty
1:00:46 Period specific indices for chronic multidimensional poverty
1:01:08 Introduction to dynamic subgroup analysis
1:03:07 Analyses that can be conducted with panel data
1:03:29 Construction of subgroups and calculation of dynamic subgroup analysis
1:06:19 Interpreting an illustration of dynamic subgroup analysis
1:09:03 Importance for policy
1:15:12 Shapley decomposition for illustration
1:19:52 Q & A
