[MHC-HLO] #5
[MHC-HLO] #5
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Flagging for MH - this repo's '01_input' folder directly has this and the following .dta files.
We also need to compare this dataset with the '01_input/WLD_ALL_ALL_v01_M_v01_A_MEAN_DSEX.dta' in the same folder
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Flagging for MH - The '023_output' folder isn't present in Aroob's GitHub but this same dataset and the subsequent datasets are present in the 'temp' folder in Aroob's GitHub repo
| collapse score* se* n*, by(cntabb window subject test level) | ||
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| reshape wide score* se* n*, i(cntabb window subject level) j(test) string | ||
| *Placeholder for replication: |
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Flagging for MH - might be important later in the analysis - we saw something similar in another branch too
| @@ -151,10 +148,6 @@ foreach assessment in PISA LLECE SACMEQ PASEC PASEC_2014 EGRA PILNA { | |||
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| drop score se | |||
| reshape wide score_* , i(cntabb window subject level) j(test) string | |||
| *Placeholder for replication: | |||
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Flagging for MH - might be important later in the analysis and same as above
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| /*Checking with previous: | ||
| ren HLO* n_HLO* | ||
| merge 1:1 cntabb test year n_res subject grade using "N:\GDB\WorldBank_HLO_workingcopy\HLO\HLO_v01\2-output\HLO_MEAN_DSEX_SE_v01.dta" | ||
| gen diff = n_HLO - HLO | ||
| gen diff_se = n_HLO_se - HLO_se | ||
| encode test, gen(test_n) | ||
| encode subject, gen(subject_n) |
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Flagging for MH - might be important later in the analysis
| @@ -600,14 +600,8 @@ drop hlo_*_upper_* hlo_*_lower_* | |||
| label var hlo_mf_note "Generic source note for HLO data. Also contains qualifier for non-representative China and India scores" | |||
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| // Save dataset | |||
| sa "$clone\04_HLO-HCI\output\hlo_20Aug2020.dta", replace | |||
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Flagging for MH - seems to not do any major change but flagging it just in case
| @@ -34,6 +34,7 @@ use "$clone\04_HLO-HCI\output\hlo.dta", clear | |||
| } | |||
| gen hlo_`gen'_source_2020=hlo_`gen'_source[_n-1] if year==2020 | |||
| } | |||
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Flagging for MH - might be important later in the analysis
| @@ -42,6 +43,7 @@ use "$clone\04_HLO-HCI\output\hlo.dta", clear | |||
| } | |||
| gen hlo_`gen'_source_2018=hlo_`gen'_source[_n-3] if year==2020 | |||
| } | |||
| gen hlo_new_2018=L3.hlo_new_fill if year==2020 | |||
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Flagging for MH - might be important later in the analysis
| @@ -248,33 +250,8 @@ foreach gen in mf m f { | |||
| replace hlo_`gen'_source_2010=hlo_`gen'_source[_n-9] if year==2020 & wbcode=="GMB" | |||
| } | |||
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Flagging for MH - might be important later in the analysis
| @@ -0,0 +1,195 @@ | |||
| /******************************************************************************/ | |||
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Flagging for the team - we need to compare this with other similarly named files in the repo and other folders within the network folder
| @@ -0,0 +1,404 @@ | |||
| /******************************************************************************/ | |||
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Flagging for the team - same as above
| @@ -0,0 +1,135 @@ | |||
| *==============================================================================* | |||
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Flagging for the team - we need to compare the '11_GLAD' folder with other similarly named folders in the other folders within the network
Compare MHC-HLO-Production [from Aroob's private GitHub] to MHC-HLO [from Network folder] \wbgfscifs01\GEDEDU\GDB\Personal\WB504672\WorldBank_Github\MHC-HLO
Note: we are not copying over 11_GLAD/113_output files from the network