New Sources for Comparative Social Science: Historical Population Panel Data From East Asia

Author:

Dong Hao1,Campbell Cameron2,Kurosu Satomi3,Yang Wenshan4,Lee James Z.5

Affiliation:

1. Division of Social Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

2. Division of Social Science, The Hong Kong University of Science and Technology, Hong Kong, China

3. Faculty of Foreign Studies, Reitaku University, Kashiwa, Japan

4. Institute of Sociology, Academia Sinica, Taipei, Taiwan

5. School of Humanities and Social Science, The Hong Kong University of Science and Technology, Hong Kong, China

Abstract

Abstract Comparison and comparability lie at the heart of any comparative social science. Still, precise comparison is virtually impossible without using similar methods and similar data. In recent decades, social demographers, historians, and economic historians have compiled and made available a large number of micro-level data sets of historical populations for North America and Europe. Studies using these data have already made important contributions to many academic disciplines. In a similar spirit, we introduce five new micro-level historical panel data sets from East Asia, including the China Multi-Generational Panel Dataset–Liaoning (CMGPD-LN) 1749–1909, the China Multi-Generational Panel Dataset–Shuangcheng (CMGPD-SC) 1866–1913, the Japanese Ninbetsu-Aratame-Cho Population Register Database–Shimomoriya and Niita (NAC-SN) 1716–1870, the Korea Multi-Generational Panel Dataset–Tansung (KMGPD-TS) 1678–1888, and the Colonial Taiwan Household Registration Database (CTHRD) 1906–1945. These data sets in total contain more than 3.7 million linked observations of 610,000 individuals and are the first such Asian data to be made available online or by application. We discuss the key features and historical institutions that originally collected these data; the subsequent processes by which the data were reconstructed into individual-level panels; their particular data limitations and strengths; and their potential for comparative social scientific research.

Publisher

Duke University Press

Subject

Demography

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