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    Home / Central Data Catalog / UGA_2015_LTIE-BL_V01_M / variable [F4]
central

Land Titling Impact Evaluation - Baseline Survey 2015

Uganda, 2015
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Reference ID
UGA_2015_LTIE-BL_v01_M
Producer(s)
Markus Goldstein, Michael O'Sullivan, Joao Montalvao, Christopher Udry, James Habyarimana
Metadata
DDI/XML JSON
Study website
Created on
Sep 07, 2022
Last modified
Sep 07, 2022
Page views
22353
Downloads
141
  • Study Description
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  • Data files
  • cedp_bs_0_cover_2015
  • cedp_bs_1_hhroster_2015
  • cedp_bs_2_laborsupply_2015
  • cedp_bs_3_assets_2015
  • cedp_bs_4a_parcelroster_2015
  • cedp_bs_4b_plotroster_2015
  • cedp_bs_4c_croproster_2015
  • cedp_bs_5_crops_season1_2015
  • cedp_bs_6_output_season1_2015
  • cedp_bs_7a_input_season1_plot_2015
  • cedp_bs_7b_activity_season1_act_2015
  • cedp_bs_8a_input_season2_plot_2015
  • cedp_bs_8b_input_season2_crop_2015
  • cedp_bs_9_parcdet_2015
  • cedp_bs_10_landrights_2015
  • cedp_bs_11_conflicts_2015
  • cedp_bs_12_landmkt_2015
  • cedp_bs_13_transfers_2015
  • cedp_bs_14_migration_male_2015
  • cedp_bs_15_inheritance_male_2015
  • cedp_bs_16_percrights_male_2015
  • cedp_bs_17_credit_male_2015
  • cedp_bs_18_migration_female_2015
  • cedp_bs_19_marriage_female_2015
  • cedp_bs_20_inheritance_female_2015
  • cedp_bs_21_percrights_female_2015
  • cedp_bs_22_decmaking_female_2015
  • cedp_bs_23_credit_female_2015
  • cedp_bs_24_relspouse_female_2015
  • cedp_bs_plotsize_acres_2015
  • community_bl2015_public_release

Asset name (asset)

Data file: cedp_bs_3_assets_2015

Overview

Valid: 101830
Invalid: 0
Minimum: 1
Maximum: 34
Type: Discrete
Decimal: 0
Width: 40
Range: 1 - 34
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Animal-drawn cart 2995
2.9%
2 Bicycle 2995
2.9%
3 Bulls 2995
2.9%
4 Calves 2995
2.9%
5 Computer 2995
2.9%
6 Cows 2995
2.9%
7 Fork hoe 2995
2.9%
8 Furniture/Furnishings 2995
2.9%
9 Generators and/or Solar panel/electric inverters 2995
2.9%
10 Goat 2996
2.9%
11 Heifers 2994
2.9%
12 Hoe 2995
2.9%
13 House 2995
2.9%
14 Internet Access 2995
2.9%
15 Jewelry and Watches 2995
2.9%
16 Mobile phone 2995
2.9%
17 Motor cycle 2995
2.9%
18 Motor vehicle 2995
2.9%
19 Other 1 (specify) 2995
2.9%
20 Other 2 (specify) 2995
2.9%
21 Other Buildings 2995
2.9%
22 Other farm assets (specify) 2995
2.9%
23 Oxen 2995
2.9%
24 Pangas 2995
2.9%
25 Pigs 2995
2.9%
26 Plough 2995
2.9%
27 Poultry (chickens/turkeys/ducks/ etc) 2996
2.9%
28 Radio/Cassette 2995
2.9%
29 Sheep 2994
2.9%
30 Slashers 2995
2.9%
31 Sprayer 2995
2.9%
32 Television 2995
2.9%
33 Tractor 2995
2.9%
34 Wheel barrows 2995
2.9%
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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