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Tuesday 16th July 2013, 16:00 - 17:30, Room: No. 15

Problems and Applications with Longitudinal Data Collection and Analyses

Chair Dr Aviad Tur-sinai (Israel Central Bureau of Statistics and Ben-Gurion University of the Negev)

Paper Details

1. Household Survey Data for Research on Wellbeing

Mr Damir Esenaliev (DIW Berlin)
Professor Tilman Brueck (SIPRI)
Dr Susan Steiner (DIW Berlin)

This paper summarizes the micro level survey evidence from Central Asia generated and
analyzed between 1991 and 2012. We provide an exhaustive overview over all accessible
individual and household level surveys undertaken in Kazakhstan, Kyrgyzstan, Tajikistan,
Turkmenistan and Uzbekistan and of all English language academic papers published using
these datasets. We argue that Central Asia is a fascinating region for the study of
comparative economics given its dual experience of transition and development. However,
the region is also understudied, in part due to lack of data, and especially due to a lack of
panel data. We identify knowledge gaps caused from this lack of longitudinal surveys and
suggest worthwhile areas for future research. Finally, we also present the new and novel
individual level panel dataset called "Life in Kyrgyzstan".

Other co-authors include: Antje Kroeger, Alma Kudebayeva, and Bakhrom Mirkasimov



2. Intergeneration reallocations of resources: directions and motives

Miss Anna Mironova (National Research University - Higher School of Economics)

Nowadays the problem of population aging is relevant for many countries. A significant growth of the elderly share increases the demographic burden on the working population. As a result, the problem of ensuring the needs of older people gains momentum. Along with the public sector transfer and capital accumulation, transfers within the family play an important role in the reallocations of wealth between generations. Some studies show that familial transfers are the substitute to the government transfers.
However, not only younger support elder, but also there is a downward flow - from older to younger. The direction of the intergeneration reallocations of resources over the life cycle depends on the type of society. Ronald Lee [Ronald Lee «Intergenerational Transfers and the Economic Life Cycle: A Cross-Cultural Perspective», 1995] argue that in agricultural societies wealth flows are strongly downward - from older to younger members of the population; for industrial societies the direction of transfers is upwards - from younger to older, although transfers within the family remain strongly downward.
What are the motives of intergenerational support and what factors determine the direction of the well-being flows in family - these are the main issues in this research. This study bases on the example of Russia and comparison it with other countries. The results of this study have implications for perception of capital accumulation and the consequences of demographic changes, in particular, population aging for this accumulation.


3. Couple as a unit of analysis in longitudinal household surveys - auxiliary approach or methodological insight?

Dr Violetta Khabibulina (Saint-Petersburg State Medical, University named after I.P.Pavlova )
Dr Nataliya Petrova (Saint-Petersburg State Medical, University named after I.P.Pavlova )

There are many social and public health problems which demand attention to research methodology of both spouses’ measurements and to couple as a unit of analysis. Russian Longitudinal Monitoring Survey (RLMS) - the only long-time household survey in Russia – was designed with unique number for a household but not for couple/couples within it. We investigated the RLMS datasets to construct the new unit of analysis and explored implications in the field of reproductive health (“which factors define when couples are most likely to report using condoms when engaging in marital sex?”).
We worked with two rounds R10 (2001) and R12 (2003) because Sexual History Supplement was presented only those years (SPSS v.17.0). The working dataset was created by merging of three datasets (Sexual + Individual + Household ) by identification family ID into a complex SIH-dataset. The next step focused on the matching of couples within this file by using three inclusion criteria. These ‘potential’ spouses were assigning a unique couple ID within each household, depending on his/her number within family and decision of the responding family member whether to name cohabitating partners as spouses or not. Then, the dataset was transformed into dataset consisted of "potential couples"; finally we filtered out those cases, whose spouses hadn’t participate in this round. Our final dataset included 1450 and 1496 couples (R10& R12).
Thus we have got couple as a case with some “single” variables (from household) and other as "duplicated" ones, which are separately presented for wife and husband.


4. The french longitudinal survey on the integration of first-time arrivals

Mr Gérard Bouvier (Mr)

The french longitudinal survey on the integration of first-time arrivals (ELIPA) has two main objectives : the path integration knowledge within the three years following the first residence permit in France and the assessment of the welcome arrangement for new migrants (CAI). The first wave was conducted in 2010 with a representative sample of 6,107 migrants aged 18 or older, nationals of countries outside the European Economic Area and Switzerland. These migrants were reinterviewed in 2011 and the final wave will take place in 2013.
The sampling frame was built according to several targets. Former studies had shown the relevance of individual data such as reason for migration (employment, family, humanitarian), countries of origin, skills in french before migration, region of arrival (Paris' area or others). Another individual data is quite important : the length of the period between arriving in France and getting legal right to settle.
As the whole population to be surveyed is not very important (about 100,000 people) and therefore the polling rate quite low, multi-targeted sampling frame cannot be implemented with exact accuracy.
In a first step, initial targets will be elaborated. Then the iterative process in order to reach them will be presented. It implies technical rules in order to compute non-response correction and calibration. In July 2013, the last data will be collected, allowing comparisons between the target and the achievement. As a conclusion, the practical results and main guidelines for using the survey data will be presented.


5. "We'll Gladly Hire Anyone Who Wants to Work"--Is It So? The Story of Persons with Disabilities in the Labor Market

Dr Aviad Tur-sinai (Israel Central Bureau of Statistics and Ben-Gurion University of the Negev)

In 2008, there were a million and a half persons with disabilities in Israel, 21% of the working-age population. By using a unique database constructed especially for this study, we perform a first-ever long-term surveillance of the health, disability, employment patterns, and standard of living of those of working age and uncover the main socioeconomic characteristics of their household members at each point of surveillance. The study has three main goals. First, it investigates the long-term employment patterns of persons with disabilities. The second goal is to test the receptiveness of the labor market to individuals whose health is worsening. The third goal is to test the willingness of the labor market to hire persons with disabilities whose state of health is improving. Is the improvement in the health of a person with disabilities accompanied by a change in h/her labor-force patterns? Is the labor market willing to accept people previously defined as disabled and whose current health has improved? To what extent is the improvement in the disabled person's health reflected in the labor-force patterns and economic standard of living of the rest of h/her household?
To construct the unique database that was used in this study, data from the Israel-CBS social surveys in 2002-2008 were blended with data from the 2008 population census in a way that allowed to monitor each individual at two far-removed points in time: when they were sampled for the social survey