Rattiya S. Lippe, TVSEP research manager. Presented at the ReSAKSS-Asia conference “Agriculture and Rural Transformation in Asia: Past Experiences and Future Opportunities”. An international conference jointly organized by ReSAKSS-Asia, IFPRI, TDRI, and TVSEP project of Leibniz Universit Hannover with support from USAID and Deutsche Forschungsgemeinschaft (DFG) at the Dusit Thani Hotel, Bangkok, Thailand December 12–14, 2017.

1. Introduction to TVSEP panel database
Rattiya S. Lippe and Hermann Waibel
Institute 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

2. The TVSEP idea
2
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

3. Why do we need TVSEP in Asia?
3
 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

4. What can TVSEP contribute?...
4
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

5. ...What can TVSEP contribute?
5
 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

6. Organization of TVSEP
6
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
Vietnam
Data Collection
Centre
Thailand
Data Collection
Centre
Proposal /
Paper
Cleaned data
Cleaned data

7. 7
Data collection center managers
Mai Thanh Tu
Vietnam Thailand
Somkid Naprom

8. 8
National research coordinators
Vietnam Thailand
Assit. Prof. Dr. Trung Thanh Nguyen Assoc. Prof. Dr. Suwanna Praneetvatakul

9. 9
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 Thailand
Andaman
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

10. 10
Attrition rate
 Average attrition rate is below 5 percent
 Comparisons of livelihood of HH and individual HH member over time
10
4381 4284 4204
4006
3834 3812

11. Contents of HH questionnaire
1
1
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

12. Research areas using TVSEP data
12
 Poverty dynamics
 Risks and behavioural aspects
 Migration
 Agriculture, environment and climate
 Finance
 Rural non-farm economy
 Demography, Gender and Inequality

13. Access to TVSEP database
13
1. Submitting 2-3 page research outline to TVSEP Research
Database Manager (lippe@ifgb.uni-hannover.de)
• 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

14. 14
For more
information
www.tvsep.de

15. Back up slides
15

16. 16
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

17. 17
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

18. 18
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

19. 19
1.1 Sample design - Thailand
Stage Sampling
unit
Selection criterion Samplin
probabil
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=
3-stage cluster sample, sample size 2 200, final cluster size 10

20. 20
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

21. 21
• Spatial distribution of sample:
• e.g. Ubon Ratchathani
• fill colours: population density
• green outline: sample
Ubon Ratchathani
1.1 Sample design -Thailand

22. 22
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

23. 23
Stratum definition Vietnam
I = coastal area
II = rice plain
III = mountainous area
Dak Lak Ha Tinh
Hue

24. 24
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

25. 25
Population
share
Sample
allocation
selection
probability rangeRural
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)