The Scanian Economic-Demographic Database (SEDD)

Dribe, Martin; Quaranta, Luciana

doi:10.51964/hlcs9302

Cited by 20 publications

(14 citation statements)

References 3 publications

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“…The gold standard in historical-demographic migration research is a series of linked registers which provide a longitudinal data structure, thereby covering the entire life course of an individual and enabling researchers to identify the exact timing, frequency, origin, and destination of moves. Examples of historical demographic databases which are based on such longitudinal source materials are the Historical Sample of the Netherlands (HSN; Mandemakers, 2000), the Scanian Economic Demographic Database (SEDD; Dribe & Quaranta, 2020), the POPUM and POPLINK databases (Westberg, Engberg, & Edvinsson, 2016), the Antwerp COR*-database (Jenkinson, Anguita, Paiva, Matsuo, & Matthijs) and the Utah Population Database (UPDB). The data collection and construction of longitudinal historical databases, however, requires large costs and resources.…”

Section: Evidence From Dutch Marriage Certificatesmentioning

confidence: 99%

Measuring Migration Status Based on the Place of Marriage Overestimates the Share of Male Migrants in Historical Populations. Evidence From Dutch Marriage Certificates

Rosenbaum‐Feldbrügge¹,

Puschmann²

2021

hlcs

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Thanks to the construction of large databases such as LINKS and GENLIAS based on Dutch civil certificates, our knowledge of individual demographic behavior in the past has improved significantly. However, the use of such research infrastructures also introduces some potential pitfalls, as these databases do not contain all information available from the original sources. For instance, variables that are available on the original source but lacking in LINKS are the places of residence of the bride and the groom at marriage. A common practice among researchers using LINKS and GENLIAS is therefore to identify migrants by comparing an individual’s birth place with the place of marriage. The place of marriage, however, is not necessarily identical to the place of residence, because couples traditionally contracted their marriage in the bride's or bride's parents' municipality of residence. It is therefore particularly likely that grooms are erroneously considered as migrants even though they had never moved before marriage. In this paper we explore whether this poses a problem to studies using the place of marriage as an equivalent to the place of residence. This will be achieved with the help of the marriage certificates release from the Historical Sample of the Netherlands (HSN), which, unlike LINKS, contains both the place of marriage of the couple and the residence of the bride and groom, and allows us to compare the findings derived from both approaches. The analyses show that identifying migrants based on place of marriage causes indeed a significant overestimation of male migrants, but not of female migrants. We therefore suggest the use of a couple's place of first childbirth as a robustness check to avoid overestimating male migration in the past.

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Section: Evidence From Dutch Marriage Certificatesmentioning

confidence: 99%

Measuring Migration Status Based on the Place of Marriage Overestimates the Share of Male Migrants in Historical Populations. Evidence From Dutch Marriage Certificates

Rosenbaum‐Feldbrügge¹,

Puschmann²

2021

hlcs

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“…They are both based on the occupations coded in HISCO (van Leeuwen, Maas, & Miles, 2002). The recent SEDD releases include the occupational notations coded in HISCO and coding schemes to derive HISCLASS (see Dribe & Quaranta, 2020).…”

Section: Economic Development and Social Structurementioning

confidence: 99%

“…With the start of the comparative EurAsian Project on Population and Family History in 1993, SEDD was expanded with household information from catechetical examination records as well as from income and other records for five of the original nine parishes and, recently, for the port town of Landskrona. The data date back to 1646 for two parishes, 1686 for three parishes, and, presently, 1905 for Landskrona (see Dribe & Quaranta, 2020). Using the linked data, the area population can be followed without gaps from about 1815 to 2015, with information on demographic, economic, and social conditions.…”

mentioning

confidence: 99%

The Long Road to Health and Prosperity, Southern Sweden, 1765-2015. Research Contributions From the Scanian Economic-Demographic Database (SEDD)

Bengtsson

Dribe

2021

hlcs

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The Scanian Economic-Demographic Database (SEDD) at the Centre for Economic Demography (CED), Lund University was built to answer questions derived from previous research using macro data from 1749 onwards. It includes longitudinal micro data for a regional sample of rural, semi-urban, and urban parishes in southern Sweden from 1646 to 1968 for approximately 175,000 individuals. In addition to the data on births, deaths, marriages, and occupations, it includes data on migration, household size, landholdings, taxation, and heights from the 1800s onwards and on income from 1865 onwards. After being linked from 1968 to 2015 to a range of national registers with detailed demographic and socioeconomic information, it includes 825,000 individuals. The richness and wide range of micro data have allowed researchers to follow individuals throughout their lives and across generations, covering extensive periods, and to make comparisons with results from macro data. This research has partly confirmed the established view on long-term changes in living standards and demographics in Sweden but has also brought into question some previously held truths.

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“…12,13 Another historical population is the one in Scania that lived in the city of Landskrona or in the neighboring countryside in southern Sweden, with rich data on early life exposures. [14][15][16] The aim of this observational study is: (a) to describe the mean BW and mean birth length among children born in Halland in the 1930s, as well as to (b) compare the mean birth measurements for children born in Halland to children born during a similar time period in Scania, and to (c) compare the mean BW in recent decades in Halland to the rest of Sweden, based on national register data. Although we lack follow-up data for children born in Halland, such data is available for children born in Scania during the same period.…”

Section: Introductionmentioning

confidence: 99%

Is increased size at birth associated with longevity on the population level? – A historical and comparative analysis of regions in Sweden

Quaranta

Sharma

Pontén³

et al. 2021

J Dev Orig Health Dis

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Increased population longevity could be influenced by early life factors. Some areas have long-lived populations, also in a historical perspective. We aimed to study these factors in Halland, an area with the highest life expectancy in Sweden. We collected archival data on gestational age and birth characteristics from 995 live singleton full-term births at the Halmstad Hospital, Halland, from the period 1936 to 1938 and compared these to 3364 births from three hospitals in nearby Scania for the period 1935–1945. In addition, data were obtained on maternal and offspring characteristics from the national Swedish Medical Birth Register during 1973–2013. The results show that when controlling for background maternal and offspring characteristics, mean birth weight (BW) and mean birth length were higher in Halland than in Scania, but the proportion of low birth weight (LBW) and small for gestational age (SGA) was lower. However, mean BW for Halland did not differ from the rest of Sweden in recent years 2004–2013. We also conducted a mortality follow-up for children born in Scania, which showed that LBW, being born SGA, or short birth length reduced survival. In conclusion, the high mean life expectancy in Halland compared to the rest of Sweden could have been associated with beneficial early life factors influencing birth size in the past. In more recent decades the mean BW of Halland is not different from the national mean. Thus, longevity could be expected to become more equal to the national mean in the future.

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The Scanian Economic-Demographic Database (SEDD)

Cited by 20 publications

References 3 publications

Measuring Migration Status Based on the Place of Marriage Overestimates the Share of Male Migrants in Historical Populations. Evidence From Dutch Marriage Certificates

Measuring Migration Status Based on the Place of Marriage Overestimates the Share of Male Migrants in Historical Populations. Evidence From Dutch Marriage Certificates

The Long Road to Health and Prosperity, Southern Sweden, 1765-2015. Research Contributions From the Scanian Economic-Demographic Database (SEDD)

Is increased size at birth associated with longevity on the population level? – A historical and comparative analysis of regions in Sweden

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