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Introduction to the TVSEP Panel Database

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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.

Publicado en: Economía y finanzas
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Introduction to the TVSEP Panel Database

  1. 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. 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. 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. 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. 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. 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. 7 Data collection center managers Mai Thanh Tu Vietnam Thailand Somkid Naprom
  8. 8. 8 National research coordinators Vietnam Thailand Assit. Prof. Dr. Trung Thanh Nguyen Assoc. Prof. Dr. Suwanna Praneetvatakul
  9. 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. 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. 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. 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. 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. 14 For more information www.tvsep.de
  15. 15. Back up slides 15
  16. 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. 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. 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. 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. 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. 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. 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. 23 Stratum definition Vietnam I = coastal area II = rice plain III = mountainous area Dak Lak Ha Tinh Hue
  24. 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. 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)

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