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    Home / Central Data Catalog / IMPACT_EVALUATION / LSO_2019_LARIE_V01_M / variable [F5]
impact_evaluation

Impact Evaluation of the Lesotho Land Administration Reform 2019

Lesotho, 2013 - 2020
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Reference ID
LSO_2019_LARIE_v01_M
DOI
https://doi.org/10.48529/r0we-vd56
Producer(s)
Daniel Ali
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 29, 2022
Last modified
Mar 29, 2022
Page views
77600
Downloads
258
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • Section_B_Household_Members.dta
  • section_bb_land_ownership_by_women.dta
  • section_bn.dta
  • section_bz_decision_making.dta
  • section_c1_salaried_wage_employment.dta
  • section_c2_self_employment.dta
  • section_c3_transfers_remittances_pensions.dta
  • section_d4_parcels_housing_commercial_vacant.dta
  • section_e_characterics_of_parcels.dta
  • section_f_information_on_parcels.dta
  • section_g_land_conflicts.dta
  • section_h_rights_land_perception_risks.dta
  • section_j_parcels_rented_in.dta
  • Section_K_Investement.dta
  • Section_L_Credit.dta
  • section_n.dta
  • section_o_consumption.dta
  • section_p_ownership_of_assets.dta
  • section_q1_monthly_expenditures.dta
  • section_q2_expenses_last_12_months.dta
  • section_q3_sale_of_household_goods.dta
  • lesotho_land_panel_2019.dta

We would like to know how much did /[..name..] earn during the period of employ (c112b_mon_8)

Data file: section_c1_salaried_wage_employment.dta

Overview

Valid: 62
Invalid: 1297
Minimum: 0
Maximum: 27000
Type: Discrete
Decimal: 0
Start: 327
End: 331
Width: 5
Range: 0 - 27000
Format: Numeric

Questions and instructions

Literal question
Section C1: Salary/ Wage Employment During the Last 12 Months

C112B. We would like to know how much did [name] earn during the period of employment %rostertitle% - Month 8
Categories
Value Category Cases
0 3
4.8%
400 1
1.6%
500 1
1.6%
600 3
4.8%
700 4
6.5%
800 2
3.2%
820 1
1.6%
980 1
1.6%
1000 3
4.8%
1100 1
1.6%
1200 4
6.5%
1500 2
3.2%
1600 1
1.6%
1800 2
3.2%
1900 2
3.2%
2000 6
9.7%
2100 1
1.6%
2104 1
1.6%
2120 1
1.6%
2200 1
1.6%
2448 1
1.6%
2500 2
3.2%
2800 1
1.6%
3000 1
1.6%
3400 1
1.6%
3500 2
3.2%
4000 2
3.2%
5000 1
1.6%
6000 1
1.6%
6800 1
1.6%
8000 1
1.6%
10000 1
1.6%
11000 1
1.6%
11500 1
1.6%
12000 1
1.6%
19000 1
1.6%
27000 2
3.2%
Sysmiss 1297
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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