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SJTU CMGPD 2012 Methodological Lecture

SJTU CMGPD 2012 Methodological Lecture. Day 1 (supplemental) Strengths and Weaknesses of the CMGPD-LN. Historical population databases. Parish registers Genealogies Censuses Household registers. CMGPD-LN Relative Strengths. Household and village of residence

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SJTU CMGPD 2012 Methodological Lecture

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  1. SJTU CMGPD 2012Methodological Lecture Day 1 (supplemental) Strengths and Weaknesses of the CMGPD-LN

  2. Historical population databases • Parish registers • Genealogies • Censuses • Household registers

  3. CMGPD-LNRelative Strengths • Household and village of residence • Not available in genealogies, parish registers • Longitudinal • Not available in censuses • Complete recording of the at-risk population • Not available in parish registers • Time-depth/Multigenerational • Not available in most household registers • Kinship • Genealogies typically only record a single descent group • Prospective • Genealogies are retrospective

  4. CMGPD-LNLimitations • Omission of boys who died in infancy and early childhood • Can’t really do infant or early child mortality • Underestimate fertility • Omission of daughters • No non-state occupations, or landholding • Landholding will be able in Shuangcheng (CMGPD-SC)

  5. Average numbers of boys and girls born in next 3 years to married men aged 15-50

  6. CMGPD-LNLimitations • Missing registers • Event-history analysis limited to registers for which immediately following register is also available • Unrecorded deaths • A small % of individuals who were probably dead, were carried on alive from register to register as if they were alive • Creates problems at advanced (80+) ages

  7. Using the DataRECORD_NUMBER • RECORD_NUMBER identifies the same observation across the different datasets • Use as the basis for one-to-one mergelocal cmgpd_ln_location "..\CMGPD-LN from ICPSR\ICPSR_27063“use "`cmgpd_ln_location'\DS0001\27063-0001-Data“merge 1:1 RECORD_NUMBER using "`cmgpd_ln_location'\DS0003\27063-0003-Data"

  8. Using the DataRECORD_NUMBER • If the merged datasets won’t fit into memory, make use of options on use and merge to load specific variablesuse RECORD_ID YEAR SEX using "`cmgpd_ln_location'\DS0001\27063-0001-Data“merge 1:1 RECORD_NUMBER using "`cmgpd_ln_location'\DS0003\27063-0003-Data“, keepusing(NON_HAN_NAME)tab YEAR if SEX == 2, sum(NON_HAN_NAME)

  9. Using the DataMissing Values • Following standard practice, missing values are coded as -98 or -99 • -98 is structural missing • -99 is missing • These are not the same as STATA missing, so observations will not be excluded automatically • Especially in regressions, computations of means, etc., either manually exclude these, or recode to force exclusion • recode ZHI_SHI_REN -99 -98=. or • summ ZHI_SHI_RENif ZHI_SHI_REN != -98 & ZHI_SHI_REN != -99

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