Introduction to TVSEP panel database
Rattiya S. Lippe and Hermann WaibelInstitute of Development and Agricultural Economics
Leibniz University Hannover
Agriculture and Rural Transformation in Asia: Past Experiences and Future Opportunities 12-13 December 2017 Bangkok, Thailand
The TVSEP idea
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TVSEP follows the concept of German Socio-Economic Panel (SOEP)
longitudinal survey of approximately 11,000 private households in Germany during 1984 to 2014 (release April 2016), and Federal States of East-Germany during 1990 to 2014.
produced by the German Institute for Economic Research (DIW)
variables include household composition, employment, occupations, earnings, health and satisfaction indicators
Why do we need TVSEP in Asia?
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Rapid structural and economic change, particularly in rural and peri-urban areas of emerging market economies pose many challenges;
High quality panel data sparse in developing countries and emerging market economies;
Panel data offer better understanding of long term dynamics at household and individual level;
TVSEP builds on outcomes of DFG Research Unit 756 (2007 – 2013)“Impact of shocks on the vulnerability to poverty”
5 panel waves in 440 villages / ~ 4000 households
Migrant tracking survey in Bangkok and Ho Chi Minh City in 2010
What can TVSEP contribute?...
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Many panel data: short-lived, relatively small, focused on particular issues, or broad LSMS-types
Value-added of TVSEP database:
Complete agricultural production and income portfolio assessment
Particular focus on shocks, risks, poverty and vulnerability dynamics
Importance of behavioral drivers of development
Explicit consideration of migration (including migrant tracking)
Information at village level to define instrument variables
Sample size at provincial level is larger than existing panel database
...What can TVSEP contribute?
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Long-term cooperation with local scientific partners
Stimulate new research conducted by national research and development organizations in Thailand and Vietnam
Knowledge transfer, e.g. joint publications
Capacity building, e.g. trainings on tablet-based data collection, data cleaning etc.
Supporting and maintaining research infrastructure for high quality socio-economic panel data in Thailand and Vietnam
Organization of TVSEP
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Data AnalysisData Collection
Researchers LUH/ UGö
Output High impact Journal Publications Project Working Paper Series National Conferences International Conferences
Output Provincial yearbooks Policy Workshops Add on projects
Database Center
Database Manager
Project Management Team (LUH/UGö)
Monitoring & Supervision
International Researchers
National Researchers
(TH/VN)
International Advisory Panel
Data Management Data Use
VietnamData Collection
Centre
ThailandData Collection
Centre
Proposal /Paper
Cleaned data
Cleaned data
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Data collection center managers
Mai Thanh Tu
Vietnam Thailand
Somkid Naprom
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National research coordinators
Vietnam Thailand
Assit. Prof. Dr. Trung Thanh Nguyen Assoc. Prof. Dr. Suwanna Praneetvatakul
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ThailandThailand
Laos
Vietnam
China
Myanmar
Cambodia
MalaysiaMalaysia
Dak Lak
Ha Tinh
Thua Thien Hue
Buri Ram
Ubon
Ratchathani
Nakhon
Phanom
HANOI
BANGKOK
HO CHI MINH CITY
Gulf of ThailandAndaman
Sea
South China Sea
Survey locations
7th Wave Survey - 2017: Thailand : 1914 households Vietnam : 1898 households
HH Sampling strategy: Province: purposive selection 3-stage cluster sample: sub-
district, village and household
Migrants survey: 1st wave in 2010 2nd wave in 2018
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Attrition rate
Average attrition rate is below 5 percent Comparisons of livelihood of HH and individual HH member over time
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4381 4284 42044006
3834 3812
Contents of HH questionnaire
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Household
GPS
HH Member characteristics
Remittances
Expenditure
Assets Housing
Income
Land
Agriculture & Natural resource
Wage employment
Self-employment
Shock & Risk
Severity, financial consequence, ex-post coping measures
Subjective assessment of well-being
Aspirations
Consequence of expected risks, ex-ante mitigation measures
Finance
Borrowing
Lending
Savings
Public transfers
Insurances
Character Traits Social network, Religion Investment &
Disinvestment
Research areas using TVSEP data
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Poverty dynamics
Risks and behavioural aspects
Migration
Agriculture, environment and climate
Finance
Rural non-farm economy
Demography, Gender and Inequality
Access to TVSEP database
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1. Submitting 2-3 page research outline to TVSEP Research Database Manager ([email protected])
• specifiying sections, variables, country and panel wave
• questionnaires www.tvsep.de
2. Approved by Project Management Team (LUH/ UGö)
3. Signing confidentiality agreement
4. Sending draft working paper
5. Publishing paper and acknowledge source of data
Back up slides
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2007 2008 2010 2011 2013 2016 2017
Total 4381 4284 4204 1588 4006 3834 3812
Thailand 2186 2136 2105 916 1996 1941 1914
Buriram 819 799 792 761 734 720
Ubon 970 950 934 916 874 863 865
Nakhon Panom 397 387 379 361 344 329
Vietnam 2195 2148 2099 672 2010 1893 1898
Ha Thin 720 713 701 659 635 611
Hue 718 699 683 672 648 614 641
Dak Lak 757 736 715 703 644 646
TVSEP HH all years
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District Sub-district Village HH
Ha Thin 10 36 72 611
Hue 9 36 72 641
Dak Lak 13 38 76 646
32 110 220 1898
Samplings in Viet Nam
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District Sub-district Village HH
Ha Thin 16 41 82 720
Hue 20 49 98 865
Dak Lak 9 20 40 329
45 110 220 1914
Samplings in Thailand
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1.1 Sample design - Thailand
Stage Sampling unit
Selection criterion Sampling probability
1st Sub-district
Strata: Provinces - with approximately proportional sample size ar
PPS systematic random sample with implicit stratification by population density
r rs
rs
s
a m
m
2nd Village Simple random PPS sample of 2 villages from each sampled sub-district
rsv
rsv
v
b m
m
3rd Household EPS systematic random sample with implicit stratification by household size
rsv
c
m , c=10
3-stage cluster sample, sample size 2 200, final cluster size 10
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1.1 Sample design – Thailand (Results)
Rural
population
Number of
HHs
Share of provincial
strata
No. of sub-districts
Sample size (HHs)
Selection probability for
each HH
Buriram 956,497 228,823 37.6% 184 820 0.3584%
Ubon Ratchath. 1,142,219 271,213 44.6% 215 980 0.3613%
N. Phanom 444,562 108,662 17.9% 95 400 0.3681%
Total/Average 2,543,278 608,698 100.0% 494 2,200 0.3614%
Data: Village database 2005, Community Development Department, Ministry of the Interior
Sampling frame:
BMN database of rural households 2006, Community Development Dept., MoI
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• Spatial distribution of sample:
• e.g. Ubon Ratchathani
• fill colours: population density
• green outline: sample
Ubon Ratchathani
1.1 Sample design -Thailand
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1.2 Sample design - Vietnam
• Different situation from Thailand:
• high heterogeneity in terms of
– agro-ecological conditions (coast – plain – mountains)
– population density
• Definition of strata within provinces
• oversampling of small strata
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Stratum definition Vietnam
I = coastal area
II = rice plain
III = mountainous area
Dak Lak Ha Tinh
Hue
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1.2 Sample design - Vietnam
Stage Sampling unit
Selection criterion
1st Sub-district
Strata: Agro-ecological zones within provinces, non-proportional sample size ar
Random sample with probability proportional to estimated size
2nd Village Simple random sample with probability proportional to size of 2 villages from each sampled sub-district
3rd Household Equal probability systematic random sample with implicit stratification by household size
3-stage cluster sample, sample size 2 200, final cluster size 10
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Population share
Sample allocation
selection probability range
Rural
Population
Population density (1/km²) of total of prov. absolute rel.
Dak Lak 1,335,193 102 41% 760 35%
Rice plain 452,982 64 34% 260 34% 0.165% - 0.603%
Mountainous area 882,211 145 66% 500 66% 0.164% - 1.766%
Thua Thien-Hue 788,763 156 24% 720 33%
Coastal area 376,693 322 48% 240 33% 0.224% - 1.074%
Rice Plain 357,612 179 45% 240 33% 0.175% - 0.575%
Mountainous area 54,458 29 7% 240 33% 0.624% - 5.85%
Ha Tinh 1,147,693 191 35% 720 33%
Coastal area 567,609 246 49% 360 50% 0.196% - 0.783%
Rice Plain 338,781 489 30% 200 28% 0.171% - 0.536%
Mountainous area 241,304 80 21% 160 22% 0.147% - 0.724%
Total: 3,271,649 2200
Source: Provincial Statistical Year Books 2005, General Statistics Office, Hanoi.
1.2 Sample design – Vietnam (Results)
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