Summer 2014 China Multigenerational Panel Dataset Workshop at SJTU (English announcement)

The 4th China Multigenerational Panel Dataset Workshop
Shanghai Jiaotong University, Minhang Campus
Shanghai, China

July 14-25, 2014

中文版

The Center for the History and Society of Northeast China at the Shanghai Jiaotong University School of Humanities will hold its 4th summer China Multigenerational Panel Data workshop from July 14 to July 25.

The workshop will focus on introducing the China Multigenerational Panel Datasets (CMGPD) as sources for the study of demography, stratification, and social and family history. These include the China Multigenerational Panel Dataset – Liaoning (CMGPD-LN) and the China Multigenerational Panel Dataset – Shuangcheng (CMGPD-SC).  The CMGPD have been released via the Inter-university Consortium for Political and Science Research.  The latest versions of the CMGPD document are available for download.

The CMGPD datasets have many unique features that make them useful not only for the study of Chinese population, social, and family history, but for the study of demographic, social and economic processes more generally.  Their features also make them useful as testbeds for researchers developing novel quantitative techniques.  The datasets are longitudinal, multi-generational, and structured at multiple levels, including the individual, the household, the kin group, the community, the administrative unit, and the region.

UCLA Professor of Sociology Cameron Campbell will be the primary lecturer. Guest lecturers will include Distinguished Professor and Dean of Humanities and Social Sciences at the Hong Kong University of Science and Technology James Lee; Yuxue Ren, Professor of History at Shanghai Jiaotong University; and Dong Hao, PhD student at the Hong Kong University of Science and Technology.

This class is intended to 1) introduce researchers to the CMGPD datasets and help them decide whether they may be useful in their own studies, 2) give current users an opportunity to learn more about the origin and context of the data, and 3) give participants basic instruction in the use of STATA to describe, organize and analyze the data.   Researchers who have already started using the CMGPD-SC or CMGPD-LN are welcome to attend and take advantage of the opportunity to discuss any questions they may have with Lee, Campbell, and others who were involved in the creation of the dataset.

Lectures and discussion will focus on 1) the historical, social, economic and institutional context of the populations covered by the data, 2) key features of the data, and 3) potential applications.  There will be optional sessions to introduce the Training Guide and demonstrate basic procedures for downloading the data from the website and loading it into STATA.

Please note that while there will be basic instruction in the use of STATA to organize and analyze the data, this is not intended as a class in STATA, or introductory statistics. Students looking specifically for instruction in STATA, statistics, or data management are encouraged to look elsewhere. Again, the class is intended for participants who want to assess whether CMGPD is suitable for their research interests, or are already considering the use of the CMGPD and seek basic instruction in the use of STATA to manipulate and analyze it.

The workshop will include daily exercises to introduce key features of the data, and STATA techniques for taking advantage of these features. Participants will also complete a small project of their own design using the data and present it on the last day of the workshop.

If any non-Chinese speakers enroll, the lectures will be in English.  If the participants all speak Chinese, lectures may be in Chinese, or a mixture of English and Chinese.  Discussion will be in English and Chinese.

The Shanghai Jiaotong University Center for the History and Society of Northeast China was established as a research unit by a collaboration of the Shanghai Jiaotong University (SJTU) School of the Humanities and the Hong Kong University of Science and Technology (HKUST) School of the Humanities and Social Sciences.

Datasets

China Multigenerational Panel Dataset – Liaoning (CMGPD-LN)

The CMGPD-LN is an important dataset for the study of China’s family, social and demographic history, and for the study of demography and stratification more generally. The dataset is suitable for application of a wide variety of statistical techniques that are commonly used in social demography for the analysis of longitudinal, individual-level data, and available in the most popular statistical software packages. The dataset is distinguished by its size, temporal depth, and richness of detail on family, household and kinship context.

The materials from which the dataset was constructed are Shengjing Imperial Household Agency household registers held in the Liaoning Provincial Archives. The registers are triennial. Altogether there are 3600 of them. We transcribed a subset of them to produce the CMGPD-LN, which spans 160 years from 1749 to 1909. At present, the dataset comprises 29 register series, and consists of 1,500,000 records that describe 260000 individuals over seven generations. The CMGPD-LN is accordingly an important resource for the study of historical demography, sociology, economics, and other fields.

The CMGPD-LN and associated English-language documentation are already available for download at ICPSR.

China Multigenerational Panel Dataset – Shuangcheng (CMGPD-SC)

The CMGPD-SC covers communities of recent settlers in Shuangcheng, Heilongjiang in the last half of the nineteenth century and beginning of the twentieth. It contains 1.35 million records that describe 100,000 people. The registers cover descendants of urban migrants from Beijing and rural migrants from neighboring areas in northeast China who came to the area in the first half of the nineteenth century as part of a government organized effort to settle this largely vacant frontier region. One of the distinguishing features of this dataset is the availability of linked, individual-level landholding records for several points in time. The data also include a rich array of other indicators of household and family context and socioeconomic status.

Pending release of the CMGPD-SC through ICPSR, the data are available for download here.

Information

Dates
Monday, July 14, 2014 to Friday, July 25, 2014

Location
Shanghai Jiaotong University School of Humanities (SJTU Minhang Campus, Shanghai)

Application deadline
May 1, 2014

See link below to download application

Application procedure

Please send your personal statement, curriculum vitae, and application form (English or 中文) as attachments to chinanortheast@gmail.com.

Applications from faculty, postdoctoral researchers and graduate students are welcome. Applications from graduating college seniors will also be considered if they have already been accepted into a graduate program beginning fall 2014.  In that case, the application should include a copy of their graduate school acceptance. Any other interested parties should contact our staff at chinanortheast@gmail.com before applying to see if they will be considered.

Participants should be able to speak or read Chinese or English.  No prior experience in statistics, demography, or Chinese history is required.  Applicants must explain the reasons for their interest in the data in their application, and should demonstrate that they have background, experience or interests that in some way are relevant.

Participants who are Chinese nationals will have accommodations. Participants who are not Chinese nationals will receive assistance with arranging accommodations, and will receive a housing subsidy to help offset their costs. Participants who want other accommodations will have to arrange them on their own and will be responsible for all associated costs.

Participants should bring their own computer.

Students are responsible for all travel and local expenses, health care expenses, and other incidentals. Participants coming from abroad are strongly encouraged to confirm that their health insurance offers international coverage, or purchase travel health insurance.

Participants who are not Chinese nationals will need to obtain visas. We will issue invitation letters to facilitate the visa application. We strongly urge that accepted participants who need visas begin the application process as soon as possible after they are notified of their acceptance.

At present we expect to be able to accommodate 25-30 participants.

Links

Required Reading

Read the following before the workshop begins.  The highest priority are the specified pages in in the CMGPD-LN and CMGPD-SC User Guides.

Documentation

The documentation below is available here.

  • CMGPD-LN User Guide.  English pages 1-54, 90-96 or Chinese pages 13-64, 96-101.  Skim the descriptions of variables to look for ones that may be relevant to your research.
  • CMGPD-SC User Guide.  English pages 1-47. Again, skim the descriptions of variables to look for ones that may be relevant to your research.
  • CMGPD Training Guide. Pay particular attention to the sections at the beginning that introduce the data and highlight its distinctive characteristics.

Research Articles

  • Campbell, Cameron and James Lee. 2002 (publ. 2006). “State views and local views of population: Linking and comparing genealogies and household registers in Liaoning, 1749-1909.” History and Computing. 14(1+2):9-29.  http://papers.ccpr.ucla.edu/papers/PWP-CCPR-2004-025/PWP-CCPR-2004-025.pdf
  • Bengtsson, Tommy, Cameron Campbell, James Lee, et al. 2004.  Life Under Pressure: Mortality and Living Standards in Europe and Asia, 1700-1900. MIT Press.  Published in Chinese as 托米·本特森,康文林,李中清等. 2008. 压力下的生活:1700~1900年欧洲与亚洲的死亡率和生活水平. 北京: 社会科学文献出版社. Translated by 李霞 and 李恭忠.  Appendix A.
  • Campbell, Cameron and James Z. Lee. 2011. “Kinship and the Long-Term Persistence of Inequality in Liaoning, China, 1749-2005.” Chinese Sociological Review. 44(1):71-104.  http://www.ncbi.nlm.nih.gov/pubmed/23596557

Review Articles

  • 康文林 (Cameron Campbell).  2012.  “历史人口学 (Historical Demography).”  Chapter 8 in 梁在编 (Zai Liang ed.) 人口学 (Demography).   北京:人民大学出版社 (Beijing: Renmin University Press), 233-265.

Select one or two of the following research articles based on your own interests (or another published article that uses the CMGPD), and read before the workshop starts

  • CHEN Shuang, James Lee, and Cameron Campbell. 2010. “Wealth stratification and reproduction in Northeast China, 1866-1907.” History of the Family. 15:386-412.  http://www.ncbi.nlm.nih.gov/pubmed/21127716
  • Bengtsson, Tommy, Cameron Campbell, James Lee, et al. 2004.  Life Under Pressure: Mortality and Living Standards in Europe and Asia, 1700-1900. MIT Press.  Published in Chinese as 托米·本特森,康文林,李中清等. 2008. 压力下的生活:1700~1900年欧洲与亚洲的死亡率和生活水平. 北京: 社会科学文献出版社. Translated by 李霞 and 李恭忠.  Chapter 10.
  • Wang Feng, Cameron Campbell, and James Z. Lee. 2010. “Agency, Hierarchies, and Reproduction in Northeastern China, 1789 to 1840.” Chapter 11 in Noriko Tsuya, Wang Feng, George Alter, James Z. Lee et al. Prudence and Pressure: Reproduction and Human Agency in Europe and Asia, 1700-1900. MIT Press, 287-316.
  • Chen Shuang, Cameron Campbell, and James Z. Lee.  Forthcoming.  “Categorical Inequality and Gender Difference: Marriage and Remarriage in Northeast China, 1749-1912.”  Chapter 11 in Lundh, Christer, Satomi Kurosu, et al. Similarity in Difference.

Software

If you are not familiar with STATA, prepare for the workshop by reviewing as many of the materials for learning and using STATA at UCLA IDRE as possible. You are also strongly encouraged to watch video tutorials at the STATA website. Ideally, by the time you arrive at the workshop, you should already be able to  carry out very basic operations in STATA such as loading and saving files, creating tabulations and so forth. Do try to download the CMGPD-SC or CMGPD-LN and make sure you know how to load them and carry out very simple operations.

Recommended Reading

  • As much of the User Guides and Training Guide as you can.
  • 定宜庄, 郭松义, 李中清, 康文林. 2004. 辽东移民中的旗人社会.  上海:上海社会科学出版社.
  • Lee, James and Cameron Campbell. 1997. Fate and Fortune in Rural China: Social Organization and Population Behavior in Liaoning, 1774-1873. Cambridge University Press.
  • 李中清,王丰.  2000.  人类的四分之一: 马尔萨斯的神话与中国的现实:1700-2000。  三联·哈佛燕京学术丛书。(English: Lee, James and Wang Feng.  1999.  One Quarter of Humanity: Malthusian Mythology and Chinese Reality, 1700-2000.)
  • Bengtsson, Tommy, Cameron Campbell, James Lee, et al. 2004.  Life Under Pressure: Mortality and Living Standards in Europe and Asia, 1700-1900. MIT Press.  Published in Chinese as 托米·本特森,康文林,李中清等. 2008. 压力下的生活:1700~1900年欧洲与亚洲的死亡率和生活水平. 北京: 社会科学文献出版社. Translated by 李霞 and 李恭忠.

Tentative Schedule (at Onedrive)

Acknowledgements

Preparation of the CMGPD-LN and accompanying documentation for public release via ICPSR DSDR was supported by NICHD R01 HD057175-01A1 “Multi-Generation Family and Life History Panel Dataset” with funds from the American Recovery and Reinvestment Act.

Preparation of the CMGPD-SC and accompanying documentation for public release via ICPSR DSDR was supported by NICHHD R01 HD070985-01 “Multi-generational Demographic and Landholding Data: CMGPD-SC Public Release.”

The CMGPD summer workshops in Shanghai have been supported by Shanghai Jiaotong University, the School of Humanities, the Department of History, and the Center for the Society and History of Northeast China.  We are also grateful to staff at a variety of campus units at SJTU for their logistical support.

2013 SJTU Summer Short Course: Social Demography

Social Demography

Shanghai Jiaotong University
Summer Short Semester 2013
7/1/2013-7/26/2013

Course description at Shanghai Jiaotong University website: http://summer.jwc.sjtu.edu.cn/web/sjtu/XJXQ/198690.htm

INTRODUCTION

This is an overview class intended to familiarize students with key concepts, major debates, and recent research in population and social demography. The focus will be on contemporary trends in marriage, childbearing, divorce, migration, and health and mortality. Issues discussed will be a balanced mixture of topics of academic interest, contemporary relevance, and policy concern. Along the way, methods and data sources used in the study of population and social demography will be introduced. Readings will include academic publications that are examples of classic or recent work in key issues of population or social demography. Students should come away with the class with an awareness of the range of issues considered in population studies and social demography, a basic understanding of relevant data and methods, and an ability to read articles related to population in an informed and critical fashion.

The emphasis will be on trends and patterns in demographic behavior in the contemporary United States, in historical and comparative perspective.

INSTRUCTOR

Cameron Campbell, camcam@ucla.edu

FORMAT

The class will meet twice a week for four weeks. Each class meeting will last for three hours. The first half of each class meeting will be devoted to lecture relevant to the topic and assigned readings. After a break, the second half will be devoted to class discussion and student presentations of optional readings.

REQUIREMENTS

  • Attendance – 10% Attendance will be taken at each lecture.
  • Discussion – 10% Part of each class meeting will be reserved for discussions of the lecture and the assigned readings. Students are also welcome to initiate discussion or ask questions during lecture, without waiting for the time dedicated to discussion.  Students will be expected to participate in discussion.
  • Research project (written) – 35% Students will complete a research paper describing and interpreting patterns and trends in demographic and socioeconomic characteristics of an ethnic group, state or other geographic region (city etc.), or other well-defined subpopulation, using data from IPUMS USA (http://usa.ipums.org/usa/). Characteristics of interest may include age and sex distribution, marital status, childbearing, and educational attainment. For the paper, students will carry out tabulations at the IPUMS website, produce tables or graphs, and write accompanying text that refers to relevant literature to interpret observed trends. The text should be about 5-7 double-spaced pages of text.
    • Tables, graphs, and references follow at the end and do not count toward the page requirement.
    • All papers must have a reference section
    • Please begin familiarizing yourself with the IPUMS website as soon as possible. In addition to visiting the main IPUMS USA page (http://usa.ipums.org/usa/), please make sure to visit the main page for the Online Data Analysis system (ODA) that you will be using to do the calculations for your research paper: http://usa.ipums.org/usa/sda/. There is also a short set of instructions for using the ODA at: http://usa.ipums.org/usa/resources/sda/sdainstructions.pdf
    • If you are especially interested in economic characteristics of your population of interest, you may also want to consider using Current Population Survey (CPS) data: http://cps.ipums.org/cps/. The Online Data Analysis system for the CPS is available at: http://cps.ipums.org/cps/sda
    • The detailed prompt for the research project is available separately.
    • You may work together on your projects in teams of 2 people.  For team projects, the length requirement is multiplied by the number of team members.  Thus, a paper from a team of two should be 10-14 pages.
  • Presentation on research project  – 15% Students will make short presentations on their research papers at the last two class meetings.
  • Assignments – 30% Assignments will introduce students to various web resources for population and demography.  Assignments should be handed in to the TA at the beginning of the class on the day that they are do.  See the class schedule later in the syllabus for descriptions of the assignments.

READINGS AND RESOURCES

Haupt, Arthur.  2004.  Population Handbook.  Fifth Edition.  Washington: Population Reference Bureau.  http://www.prb.org/pdf/PopHandbook_Eng.pdf

TOPICS AND READINGS ARE PRELIMINARY, AND MAY CHANGE.  CHECK BACK BEFORE CLASS STARTS.

SCHEDULE

Lecture 1 – 7/2/2013

Introduction
Sources for the study of social demography
Population growth over the long term
Population studies and the social sciences

Reading

  • McFalls, Joseph.  2007.  “”Population: A lively introduction.  Fifth Edition.”  Population Bulletin.  62(1).  Link
  • Haupt, Chapters 1 and 2

Optional, not required

  • Preston, Samuel H.  1993.  “The Contours of Demography: Estimates and Projections  Demography.  30(4):593-606.  JSTOR
  • Keyfitz, Nathan. 1975. “How do we know the facts of demography?” Population and Development Review 1(Dec):267-288. J.

Discussion

Self-introductions

Lecture 2 – 7/4/2013

Demographic behavior in the past
Marriage and childbearing before the 20th century: East-West comparisons
Household and family before the 20th century
Mortality and fertility decline, and demographic transition

Reading

Optional, not required

  • Campbell, Cameron and James Lee. 2010. “Fertility control in historical China revisited: New methods for an old debate.” History of the Family. 15:370-385. doi:10.1016/j.hisfam.2010.09.003.

Discussion

Introduction to IPUMS

Assignment 1

Please review the topics in the syllabus.  Which topic do you find most interesting?  Why?  What related to that topic would you most like to learn about?  One single-spaced page.

Lecture 3 – 7/9/2013

Marriage and Cohabitation
Trends in age at marriage and non-marriage in Asia, North America, and Europe
Non-marriage
Socioeconomic, racial and ethnic differences in marriage
Interracial marriage, educational homogamy, and other aspects of partner choice
Emerging trends: living together apart

Reading

Optional, not required

Discussion

Ideas for topics for the final paper.

Assignment 2

Review the variables available for analysis at the IPUMS website.  Make sure to look at variables available for the Decennial Censuses (1850-2010) and in the American Community Survey (annually since 2000).  After you have examined the site to see what is available.  Write a page identifying a topic you would like to work on for your final paper and listing the variables that you plan to make use of.

Lecture 4 – 7/11/2013

Racial and socioeconomic differences in childbearing in the U.S.
Non-marital childbearing and childrearing
Changing age patterns of childbearing
Ultra-low fertility in Europe and Asia

Reading

Optional, not required

The West

China

The Rest of the World

Assignment 3

Prepare two tables at the IPUMS website using variables that you are interested in. For this exercise, I strongly encourage you to learn how to recode variables, and use filters to limit the observations included in the calculation.  Recoding variables allows you to regroup values so that for example instead of having a separate row for every year of age, you can have age groups 20-24, 25-29 etc.  If you can do all of this for this exercise, completing the project should be straightforward.  Make sure to pay attention to handling of missing values.

Make sure to read the description of the final project carefully for detailed instructions on handling variables.  Pay special attention to the discussion of recoding variables, handling missing values, and restricting observations by use of filters.

For the first table, carry out a cross-tabulation of one variable against another, with appropriate restrictions on cases and so forth.  By cross-tabulation, I mean that you should select one variable of interest as a row variable, and another variable of interest as a column variable, and use the IPUMS website to prepare a table that summarizes the distribution of one of the variables as a function of the other variable.  For example, you might choose RACE as a column variable, and YEAR as a row variable, and prepare a table that presents the percentage of the population in each race category by year.  Such table might present the % white, % black etc. in 1850, 1860, and so forth.  Hopefully you can pick a different combination of variables based on your interests.  Most likely you will choose AGE or YEAR as a row variable, and something like education, race, or some other substantive variable as a column variable, and then calculate row percentages so in each year, you can present the % of the population in each of the categories of interest.  Of course you might choose some other combination, like race and education.

Make sure to apply appropriate restrictions (see the prompt for the final project for details of using filters) so that your calculation makes sense.   If you are looking at education, you will almost always want to restrict to people old enough to have finished their education, that is people 25 and above.  If you are looking at something related to marriage, you will want to restrict to people old enough to marry, that is 16 and above.  And so forth.

For the second table, use the comparison of means, to calculate the mean of one variable according to the values of two other variables chosen as row and column variables.  Here is an explanation that I prepared for using comparison of means to calculate percentages/proportions.  For example, you can use comparison of means to calculate the percentage of people who have ever been married, according to their age and level of education.  You would choose age as a row variable, education as a column variable, and then compute the mean of a recoded marital status variable to get the proportion married.  Of course you could also compute the mean of some other variable, like number of children, or income.  You may need to recode so that the mean actually makes sense.

Lecture 5 – 7/16/2013

Divorce and Union Dissolution
Trends in divorce rates: the leveling of divorce in North America, rising divorce rates in East Asia
Racial and socioeconomic differences in divorce
Implications of divorce for couples and for children

Reading

Optional, not required

Assignment 4

Select two or three of the optional readings in the syllabus that are all on a related theme, and write a review and comparison.  What hypotheses do the authors seek to test?  What data and methods do they use?  What are their conclusions?  Which of the readings do you find most convincing?  If you were to carry out a similar analysis in China, what would you focus on?

Lecture 6 – 7/18/2013

Migration
International migration
Domestic migration, residential segregation, and neighborhood formation

Reading

Lecture 7 – 7/23/2013

Health and mortality

Reading

Lecture 8 – 7/25/2013

Research project presentations

Final project due

WEB LINKS

Information for non-SJTU students about registering for the class

Class-related resources

Summer 2013 China Multigenerational Panel Dataset Workshop at SJTU (English announcement)

Summer 2013 China Multigenerational Panel Dataset Workshop
Shanghai Jiaotong University
Minhang Campus
Shanghai, China

July 15-19, 2013

中文版

The Center for the History and Society of Northeast China at the Shanghai Jiaotong University School of Humanities will hold its third summer China Multigenerational Panel Data workshop from July 15 to July 19.

The workshop will focus on introducing the China Multigenerational Panel Datasets (CMGPD) as sources for the study of demography, stratification, and social and family history. These include the China Multigenerational Panel Dataset – Liaoning (CMGPD-LN) and the China Multigenerational Panel Dataset – Shuangcheng (CMGPD-SC).  The CMGPD-LN has already been released via the Inter-university Consortium for Political and Science Research.  Data and documentation are already available for download: http://www.icpsr.umich.edu/icpsrweb/CMGPD/. Chinese language documentation for the CMGPD-LN are available for download here.  Draft documentation for the CMGPD-SC are available for download here.

The CMGPD datasets have many unique features that make them useful not only for the study of Chinese population, social, and family history, but for the study of demographic, social and economic processes more generally.  Their features also make them useful as testbeds for researchers developing novel quantitative techniques.  The datasets are longitudinal, multi-generational, and structured at multiple levels, including the individual, the household, the kin group, the community, the administrative unit, and the region.

UCLA Professor of Sociology Cameron Campbell and Distinguished Professor and Dean of Humanities and Social Sciences at the Hong Kong University of Science and Technology James Lee will be primary lecturers.  Guest lecturers will include Yuxue Ren, Professor of History at Shanghai Jiaotong University; and Dong Hao, PhD student at the Hong Kong University of Science and Technology.

This class is intended to 1) introduce researchers to the CMGPD datasets and help them decide whether they may be useful in their own studies, and 2) give current users an opportunity to learn more about the origin and context of the data.   Researchers who have already started using the CMGPD-SC or CMGPD-LN are welcome to attend and take advantage of the opportunity to discuss any questions they may have with Lee, Campbell, and others who were involved in the creation of the dataset.

Lectures and discussion will focus on 1) the historical, social, economic and institutional context of the populations covered by the data, 2) key features of the data, and 3) potential applications.  Because we have already released a Training Guide that provides instruction on carrying out basic and advanced analysis with the data, this year’s workshop will not provide instruction in STATA, or have computer exercises.  There will be optional sessions to introduce the Training Guide and demonstrate basic procedures for downloading the data from the website and loading it into STATA.

At the end of the week, participants will be asked to make a brief presentation on their ideas for making use of the data.  If participants are already working with the CMGPD, they will be welcome to make brief presentations on their work with it.  There will not be any computer exercises.

If any non-Chinese speakers enroll, the lectures will be in English.  If the participants all speak Chinese, lectures may be in Chinese.  Discussion will be in English and Chinese.

The Shanghai Jiaotong University Center for the History and Society of Northeast China was established as a research unit by a collaboration of the Shanghai Jiaotong University (SJTU) School of the Humanities and the Hong Kong University of Science and Technology (HKUST) School of the Humanities and Social Sciences.

Datasets

China Multigenerational Panel Dataset – Liaoning (CMGPD-LN)

The CMGPD-LN is an important dataset for the study of China’s family, social and demographic history, and for the study of demography and stratification more generally. The dataset is suitable for application of a wide variety of statistical techniques that are commonly used in social demography for the analysis of longitudinal, individual-level data, and available in the most popular statistical software packages. The dataset is distinguished by its size, temporal depth, and richness of detail on family, household and kinship context.

The materials from which the dataset was constructed are Shengjing Imperial Household Agency household registers held in the Liaoning Provincial Archives. The registers are triennial. Altogether there are 3600 of them. We transcribed a subset of them to produce the CMGPD-LN, which spans 160 years from 1749 to 1909. At present, the dataset comprises 29 register series, and consists of 1,500,000 records that describe 260000 individuals over seven generations. The CMGPD-LN is accordingly an important resource for the study of historical demography, sociology, economics, and other fields.

The CMGPD-LN and associated English-language documentation are already available for download at ICPSR, following a free registration. Please visit the website: http://www.icpsr.umich.edu/cmgpd

China Multigenerational Panel Dataset – Shuangcheng (CMGPD-SC)

The CMGPD-SC covers communities of recent settlers in Shuangcheng, Heilongjiang in the last half of the nineteenth century and beginning of the twentieth. It contains 1.35 million records that describe 100,000 people. The registers cover descendants of urban migrants from Beijing and rural migrants from neighboring areas in northeast China who came to the area in the first half of the nineteenth century as part of a government organized effort to settle this largely vacant frontier region. One of the distinguishing features of this dataset is the availability of linked, individual-level landholding records for several points in time. The data also include a rich array of other indicators of household and family context and socioeconomic status. We anticipate formal public release of the dataset via ICPSR in 2013 or 2014. We will provide participants in the summer class with access to drafts of the release and documentation.

Information

Dates

Monday, July 15, 2013 to Friday, July 19, 2013

Location
Shanghai Jiaotong University School of Humanities (SJTU Minhang Campus, Shanghai)
Application deadline

May 25, 2013

See link below to download application

Application procedure

Please send your personal statement, curriculum vitae, and application form as attachments to chinanortheast@gmail.com.  We will have an English language application form available soon.

Applications from faculty, postdoctoral researchers and graduate students are welcome. Applications from graduating college seniors will also be considered if they have already been accepted into a graduate program beginning fall 2013.  In that case, the application should include a copy of their graduate school acceptance. Any other interested parties should contact our staff at chinanortheast@gmail.com before applying to see if they will be considered.

Participants should be able to speak or read Chinese or English.  No prior experience in statistics, demography, or Chinese history is required.  Applicants must explain the reasons for their interest in the data in their application, and should demonstrate that they have background, experience or interests that in some way are relevant.

Participants will be offered free housing in graduate student dormitories at SJTU.  Participants who want other accommodations will have to arrange them on their own and will be responsible for all associated costs.  Participants should bring their own computer.  Students are responsible for travel and local expenses.  At present we expect to be able to accommodate 25-30 participants.

Links

Required Reading

Please complete as much of the required reading as possible before the workshop begins.  The highest priority are the assigned readings in the CMGPD-LN and CMGPD-SC User Guides.  Once these are complete

Documentation

  • CMGPD-LN User Guide.  English pages 1-54, 90-96 or Chinese pages 13-64, 96-101.  Skim the descriptions of variables to look for ones that may be relevant to your research.
  • CMGPD-SC User Guide.  English pages 1-47.
  • CMGPD Training Guide.  Please review slides 1-40.  Users who have experience or training in statistics should skim the remainder of the training guide and review the examples of the use of the guide.

Research Articles

  • Campbell, Cameron and James Lee. 2002 (publ. 2006). “State views and local views of population: Linking and comparing genealogies and household registers in Liaoning, 1749-1909.” History and Computing. 14(1+2):9-29.  http://papers.ccpr.ucla.edu/papers/PWP-CCPR-2004-025/PWP-CCPR-2004-025.pdf
  • Bengtsson, Tommy, Cameron Campbell, James Lee, et al. 2004.  Life Under Pressure: Mortality and Living Standards in Europe and Asia, 1700-1900. MIT Press.  Published in Chinese as 托米·本特森,康文林,李中清等. 2008. 压力下的生活:1700~1900年欧洲与亚洲的死亡率和生活水平. 北京: 社会科学文献出版社. Translated by 李霞 and 李恭忠.  Appendix A.
  • Campbell, Cameron and James Z. Lee. 2011. “Kinship and the Long-Term Persistence of Inequality in Liaoning, China, 1749-2005.” Chinese Sociological Review. 44(1):71-104.  http://www.ncbi.nlm.nih.gov/pubmed/23596557

Review Articles

  • 康文林 (Cameron Campbell).  2012.  “历史人口学 (Historical Demography).”  Chapter 8 in 梁在编 (Zai Liang ed.) 人口学 (Demography).   北京:人民大学出版社 (Beijing: Renmin University Press), 233-265.

Select one or two of the following research articles based on your own interests (or another published article that uses the CMGPD), and read before the workshop starts

  • CHEN Shuang, James Lee, and Cameron Campbell. 2010. “Wealth stratification and reproduction in Northeast China, 1866-1907.” History of the Family. 15:386-412.  http://www.ncbi.nlm.nih.gov/pubmed/21127716
  • Bengtsson, Tommy, Cameron Campbell, James Lee, et al. 2004.  Life Under Pressure: Mortality and Living Standards in Europe and Asia, 1700-1900. MIT Press.  Published in Chinese as 托米·本特森,康文林,李中清等. 2008. 压力下的生活:1700~1900年欧洲与亚洲的死亡率和生活水平. 北京: 社会科学文献出版社. Translated by 李霞 and 李恭忠.  Chapter 10.
  • Wang Feng, Cameron Campbell, and James Z. Lee. 2010. “Agency, Hierarchies, and Reproduction in Northeastern China, 1789 to 1840.” Chapter 11 in Noriko Tsuya, Wang Feng, George Alter, James Z. Lee et al. Prudence and Pressure: Reproduction and Human Agency in Europe and Asia, 1700-1900. MIT Press, 287-316.
  • Chen Shuang, Cameron Campbell, and James Z. Lee.  Forthcoming.  “Categorical Inequality and Gender Difference: Marriage and Remarriage in Northeast China, 1749-1912.”  Chapter 11 in Lundh, Christer, Satomi Kurosu, et al. Similarity in Difference.

Recommended Reading

  • As much of the User Guides and Training Guide as you can.
  • 定宜庄, 郭松义, 李中清, 康文林. 2004. 辽东移民中的旗人社会.  上海:上海社会科学出版社.
  • Lee, James and Cameron Campbell. 1997. Fate and Fortune in Rural China: Social Organization and Population Behavior in Liaoning, 1774-1873. Cambridge University Press.
  • 李中清,王丰.  2000.  人类的四分之一: 马尔萨斯的神话与中国的现实:1700-2000。  三联·哈佛燕京学术丛书。(English: Lee, James and Wang Feng.  1999.  One Quarter of Humanity: Malthusian Mythology and Chinese Reality, 1700-2000.)
  • Bengtsson, Tommy, Cameron Campbell, James Lee, et al. 2004.  Life Under Pressure: Mortality and Living Standards in Europe and Asia, 1700-1900. MIT Press.  Published in Chinese as 托米·本特森,康文林,李中清等. 2008. 压力下的生活:1700~1900年欧洲与亚洲的死亡率和生活水平. 北京: 社会科学文献出版社. Translated by 李霞 and 李恭忠.

Tentative schedule

Acknowledgements

Preparation of the CMGPD-LN and accompanying documentation for public release via ICPSR DSDR was supported by NICHD R01 HD057175-01A1 “Multi-Generation Family and Life History Panel Dataset” with funds from the American Recovery and Reinvestment Act.

Preparation of the CMGPD-SC and accompanying documentation for public release via ICPSR DSDR was supported by NICHHD R01 HD070985-01 “Multi-generational Demographic and Landholding Data: CMGPD-SC Public Release.”

The CMGPD summer workshops in Shanghai have been supported by Shanghai Jiaotong University, the School of Humanities, the Department of History, and the Center for the Society and History of Northeast China.  We are also grateful to staff at a variety of campus units at SJTU for their logistical support.

 

2012 China Multigenerational Panel Data Summer Class

China Multigenerational Panel Data (CMGPD) 2012 Summer Training Workshop

Institute on the History and Society of Northeast China
School of the Humanities
Shanghai Jiaotong University
Shanghai, China

July 6, 2012 – July 20, 2012

Subject to revision.  Please check back on a regular basis for changes.

POLICIES

  • Attendance at all lectures and recitation sections is required.  Unexcused absences may be grounds for immediate dismissal.
  • Completion of all assignments is required.
  • Participants must bring their own laptop, and have STATA installed and the CMGPD-LN downloaded at the beginning of class.
  • If you already have experience working with a statistical package other than STATA, you may use it instead of STATA.  However, we may not be able to provide much assistance if you have difficulties.
  • Lectures will be in English.  The teaching assistants and I all speak Chinese, however.


REQUIRED READING

Please read the following BEFORE class begins

RECOMMENDED READING

These may be useful for participants who have less prior experience in demography, STATA, and other elements of the class.


DETAILED SCHEDULE 
(Links to shared spreadsheet with topics, assignments and readings by day)

Lectures will be in the morning. The substantive lectures will be 9:00am-10:30am. The data and methods lectures will be at 11:45am-12:15pm. Recitation will start at 1:30pm.