This project makes publicly available via ICPSR an existing longitudinal individual-level database, the Liaoning Multi-Generational Panel (LMGP), that comprises 1.3 million triennial observations of more than 230,000 residents of approximately 628 northeast Chinese communities between 1749 and 1909. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, reproduction and death. The data also record specific disabilities for a subset of adult males. Through record linkage, paternal pedigrees may be reconstructed as far back as seven generations, and kin living outside the household may be identified. Recording of community of residence allows for spatial analysis via GIS techniques. The LMGP will be unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities. Publications by the PI and the collaborators have already established the suitability of the dataset for quantitative analysis by social and behavioral scientists, but exploitation of its full potential awaits use by the research community after its public release. Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of regional and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets. Methodological research will be undertaken to develop methods to distribute such data that maximize its ease of use and research potential. Specific tasks are to carry out additional cleaning of the existing data and prepare a linked database of community and regional conditions, reformat the data according to ICPSR and other emerging specifications for archived longitudinal data, prepare the documentation needed for users to make use of the data, and carry out outreach and training via presentations at relevant professional meetings and organization of a User's Group. We will also train interested students to use an initial partial early release of the LMGP data at an on-going ICPSR summer workshop on the Longitudinal Analysis of Historical Data and use this experience to help us produce better training guides and documentation. Such documentation includes Users' Guides (codebooks) describing the variables, Reference Guides that describe the historical and institutional context of the populations and the registration system, and Training Guides that demonstrate through annotated examples how to manipulate and analyze the data.
*Revised Target Enrollment Table (only if changed) *Revised Checklist All of this should be PDF'd and emailed to the program official. Rebecca L. Clark, Ph.D., Acting Chief Demographic and Behavioral Sciences Branch Center for Population Research Eunice Kennedy Shriver National Institute of Child Health and Human Development (301) 496-1175 6100 Executive Boulevard, Room 8B07 Bethesda, MD 20892-7510 (For express mail: Rockville, MD 20852) 3 PROJECT ABSTRACT This project makes publicly available via ICPSR an existing longitudinal individual-level database, the Liaoning Multi-Generational Panel (LMGP), that comprises 1.3 million triennial observations of more than 230,000 residents of approximately 628 northeast Chinese communities between 1749 and 1909. The data provide socioeconomic, demographic, and other characteristics for individuals, households, and communities, and record demographic outcomes such as marriage, reproduction and death. The data also record specific disabilities for a subset of adult males. Through record linkage, paternal pedigrees may be reconstructed as far back as seven generations, and kin living outside the household may be identified. Recording of community of residence allows for spatial analysis via GIS techniques. The LMGP will be unique among publicly available population databases because of its time span, volume, detail, and completeness of recording, and because it provides longitudinal data not just on individuals, but on their households, descent groups, and communities. Publications by the PI and the collaborators have already established the suitability of the dataset for quantitative analysis by social and behavioral scientists, but exploitation of its full potential awaits use by the research community after its public release. Possible applications of the dataset include the study of relationships between demographic behavior, family organization, and socioeconomic status across the life course and across generations, the influence of regional and community on demographic outcomes, and development and assessment of quantitative methods for the analysis of complex longitudinal datasets. Methodological research will be undertaken to develop methods to distribute such data that maximize its ease of use and research potential. Specific tasks are to carry out additional cleaning of the existing data and prepare a linked database of community and regional conditions, reformat the data according to ICPSR and other emerging specifications for archived longitudinal data, prepare the documentation needed for users to make use of the data, and carry out outreach and training via presentations at relevant professional meetings and organization of a User's Group. We will also train interested students to use an initial partial early release of the LMGP data at an on-going ICPSR summer workshop on the Longitudinal Analysis of Historical Data and use this experience to help us produce better training guides and documentation. Such documentation includes Users' Guides (codebooks) describing the variables, Reference Guides that describe the historical and institutional context of the populations and the registration system, and Training Guides that demonstrate through annotated examples how to manipulate and analyze the data. 4 Project Narrative Public release of these data will contribute to the study of public health by making available a novel dataset that supports analysis of how regional, community, family, and individual characteristics interact to shape demographic and health outcomes, most notably mortality. Because of its size, time span, and detail, the dataset allows for the study of associations between socioeconomic status, demographic behavior, and health not only across the life course, but across generations. The dataset will also be an important resource for the development and evaluation of cutting-edge quantitative methods for studying the determinants of demographic behavior and health. 5 A. Specific Aims This project proposes to make available to the behavioral and social science research community a remarkable longitudinal, individual-level dataset, the Liaoning Multi-Generational Panel (LMGP). The LMGP traces a population of hundreds of thousands of individuals in northeast China for seven generations, from the middle of the eighteenth century to the beginning of the twentieth. Because these data are exceedingly rich and complex, in addition to the organization, documentation, and release of dataset itself through the Inter- university Consortium for Political and Social Research (ICPSR), we will promote their use at professional meetings, provide detailed user guides, and facilitate a Users'Group. ICPSR is one of the premiere institutions for the preservation and dissemination of social science data with a membership of over five hundred universities and institutions that extend over the entire academic community. The end result will be the wide, free, and public availability of a data source that has already led to an extraordinary body of research by the principal investigators, and is sure to lead to even more once it is widely available to the research community. Under the auspices of ICPSR and its Data Sharing for Demographic Research project (www.icpsr.umich.edu/dsdr), these data will be preserved for the long term. The release of the Liaoning Multi-Generational Panel data will be phased. It will begin in the first three months of year one with data from Daoyi consisting of 118,702 observations of 16,849 individuals. The population of Daoyi was the subject of the book Fate and Fortune in Rural China (Lee and Campbell 1997) and therefore is much more thoroughly documented than other populations covered in the LMGP, and the data already has been subject to much more thorough cleaning. As our procedures are refined and more data is readied, we will prepare and release another approximately 1.2 million observations, so that by the conclusion of the second year we will have provided a total of 1,343,577 observations of 230,773 individuals. We will also release an auxiliary database of linked historical sources describing the communities, the regions, and the province. Such sources will include time-series of economic indicators, as well as auxiliary qualitative and quantitative data on political and economic context collected in archival and library research. Specifically, we propose during the three year grant period: 1. To release in two annual waves a unified database of 1,,343,577 observations of 230,773 individuals from 18th, 19th, and early 20th- century Chinese population registers. The database already exists, but preparation for public release via ICPSR will require additional work, as detailed later. 2. To release in year two a linked auxiliary database of qualitative and quantitative data on the communities, the regions, and the province which will describe local economic and political conditions, most notably monthly grain prices from the eighteenth through the early twentieth century. 3. To prepare a user's guide that will describe the data format and organization. 4. To prepare a source guide to these data that will cover their historical background including local institutions as well as population registration systems. 5. To prepare a training guide that will instruct users how to use STATA, SAS, and SPSS to analyze these data and to construct additional variables as needed. 6. To introduce interested researchers to these data through outreach at professional meetings and by establishing a Users'Group. 7. To introduce these data to an on-going ICPSR summer workshop on the Longitudinal Analysis of Historical Data where we will train interested students to use the initial LMGP data release and use this experience to help us produce a better training guide. 6 From Standard Terms and Conditions, American Recovery and Reinvestment Act of 2009, Division A Funds, March 2, 2009 A detailed list of all projects or activities for which ARRA funds under this award were obligated and expended, including An evaluation of the completion status of the project or activity; An estimate of the number of jobs created and the number of jobs retained by the project or activity The Liaoning Multi-Generational Panel Dataset: Public Release and User Training will create two new full-time jobs, a Research Technician and a Postdoctoral Research Fellow, and contribute to the continuation of three current ICPSR employees: an Assistant Research Scientist, a Research Area Specialist, and a Web Technician. As other scientists also use the LMGPD, the Liaoning Multi-Generational Panel Dataset: Public Release and User Training Project will also create additional jobs since these scientists will need research assistance and technical support. 7
