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Recalculating Swedish pre-census demographic data: Was there acceleration in early modern population growth?

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Abstract

The world population growth increased in the eighteenth century, which caused real wages to decline in most countries. Eli Heckscher held the view that Swedish population growth was quite low in the seventeenth century, similar to the development in the rest of Europe, and that there was a substantial acceleration after 1720. Recent data for Sweden by Lennart Andersson Palm entail that population growth was stronger in the seventeenth century than in the eighteenth century. However, this is at variance with other types of economic data. For example, Swedish real wages increased during the seventeenth century and fell in the eighteenth century. This study attempts to resolve the anomaly and argues that Palm’s estimates of Swedish population and mortality rates are too low for the seventeenth century. It presents revised annual demographic data for Sweden for the pre-census period, back to 1630. The new data indicate that there was a small acceleration in early modern population growth, due to the decreased occurrence of mortality crises, but the acceleration was not as pronounced as in the rest of the world.

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Notes

  1. Bengtsson and Oeppen (1993) reconstruct the population of Scania in southern Sweden 1650–1760.

  2. Their data are only presented in a graph.

  3. For Uppland including Södertörn, Sundquist presents the figure 58,423. Since the Mill Tax Lists for parts of this region refer to the years 1630–1631, which are generally lower than for 1628, Sundquist increases the number to 58,820 (based on earlier tax records). For Närke, Sundquist seems to use the data for 1629 (10113) instead of 1628 (11466). See Friberg and Friberg (1971, p. 60). No data on the Mill Tax Lists are presented for Gästrikland, but are estimated to 4,633 in this study, which is based on calculated from the number of persons registered for the special tax in 1613–1618 to redeem the Älvsborg fortress (3,656), and the ratio between this list and the Mill Tax List in other regions.

  4. For Seminghundra härad in Stockholm county, the Mill Tax Lists recorded 1155 persons. Friberg and Friberg (1971, p. 64) argue that assuming a ratio of the number of persons in the Mill Tax Lists to the population was 45 %, the size of the population in Seminghundra härad must have been at least 2500 in the late 1620s. Palm (2000, p. 215) estimates the population in Seminghundra härad to be only 1704 persons in 1620.

    For Värmdö skeppslag, also in Stockholm county, the number of persons recorded in the Mill Tax Lists in 1628 was 1250. Friberg and Friberg (1971, p. 66), therefore argue that the size of the population in the late 1620s should have been around 2700 persons plus an addition for the nobility. Palm (2000, p. 216) puts the population in Värmdö skeppslag as only 1396 in 1620.

  5. The price material is described in Edvinsson (2012).

  6. Bengtsson and Oeppen (1993, p. 10) assume that data on the age composition of the population became reliable from the census of 1760 onwards. Wilmoth and Lundström (1996, p. 72) show that the problem of overreporting the maximum age at the time of death was not solved until the 1860s.

  7. The Scanian Economic-Demographic Database (SEDD) 1650–2010, led by Martin Dribe.

  8. Based on the conjectures of Palm, Myrdal, Lindegren and Widén (see Table 1), Palm’s estimate of population growth in 1700 is used to extrapolate Lindegren and Widén’s estimates to the end of 1699.

  9. This is, for example, noted for England by Wrigley and Schofield (1989, p. 415).

  10. For 1630–1636, R civilian deaths is assumed to be the same as it was in 1637.

References

  • Allen R (2001) The great divergence in European wages and prices from the middle ages to the first world war. Explor Econ Hist 38:411–447

    Article  Google Scholar 

  • Bengtsson T, Broström G (2011) Famines and mortality crises in 18th to 19th century southern Sweden. Genus LXVII:119–139

    Google Scholar 

  • Bengtsson T, Dribe M (2006) Deliberate control in natural fertility population: Southern Sweden, 1766–1864. Demography 43:727–746

    Article  Google Scholar 

  • Bengtsson T, Oeppen J (1993) A reconstruction of the population of Scania 1650–1760. Lund papers in economic history, no. 32

  • Bengtsson T, Ohlsson R (1985) Age-specific mortality and short-term changes in the standard of living: Sweden, 1751–1859. Eur J Popul 1:309–326

    Article  Google Scholar 

  • Bohlin J (2003) Swedish historical national accounts: the fifth generation. Eur Rev Econ Hist 7:73–97

    Article  Google Scholar 

  • Chiarini B (2010) Was Malthus right? The relationship between population and real wages in Italian history, 1320 to 1870. Explor Econ Hist 47:460–475

    Article  Google Scholar 

  • Clark G (2007) A farewell to alms: a brief economic history of the world. Princeton University Press, Princeton

    Google Scholar 

  • Colgrove J (2002) The McKeown thesis: a historical controversy and it’s enduring influence. Am J Public Health 92:725–729

    Article  Google Scholar 

  • Crafts N, Mills T (2009) From Malthus to Solow: how did the Malthusian economy really evolve. J Macroecon 31:68–93

    Article  Google Scholar 

  • Dribe M (2003) Dealing with economic stress through migration: lessons from nineteenth century rural Sweden. Eur Rev Econ Hist 7:271–299

    Article  Google Scholar 

  • Dribe M (2008) Demand and supply factors in the fertility transition: a county-level analysis of age-specific marital fertility in Sweden, 1880–1930. Eur Rev Econ Hist 13:65–94

    Article  Google Scholar 

  • Dribe M, Olsson M, Svensson P (2011) Production, prices and mortality: demographic response to economic hardship in rural Sweden 1750–1860, paper presented at the conference ‘European Historical Economics Society’, Dublin, 2–3 Sep. 2011, http://eh.net/eha/system/files/DribeOlssonSvensson.pdf. Accessed 1 July 2012

  • Eckstein Z, Schultz TP, Wolpin KI (1984) Short-run fluctuations in fertility and mortality in pre-industrial Sweden. Eur Econ Rev 26:295–317

    Article  Google Scholar 

  • Edvinsson R (2012) Harvests and grain prices in Sweden 1665–1870. Agric Hist Rev 60:1–18

    Google Scholar 

  • Edvinsson R (2013) Swedish GDP 1620–1800: stagnation or growth? Cliometrica 7:37–60

    Article  Google Scholar 

  • Feinstein C (1972) National income, expenditure and output of the United Kingdom 1855–1965. Cambridge University Press, Cambridge

    Google Scholar 

  • Forssell H (1872) Sverige 1571: Försök till en administrativ-statistisk beskrifning öfver det egentliga Sverige, utan Finland och Estland, vol 1. P.A. Norstedt & Söner, Stockholm

    Google Scholar 

  • Forssell H (1883) Sverige 1571: Försök till en administrativ-statistisk beskrifning öfver det egentliga Sverige, utan Finland och Estland, vol 2. Norstedt & Söner, Stockholm

    Google Scholar 

  • Friberg N, Friberg I (1971) Sveriges Äldsta fullständiga husförhörslängd. Stockholm University, Stockholm

    Google Scholar 

  • Gadd C-J (2000) Den agrara revolutionen 1700–1870. Natur och Kultur/LTs förlag, Stockholm

    Google Scholar 

  • Galloway PR (1994a) A reconstruction of the population of North Italy from 1650 to 1881 using annual inverse projection with comparisons to England, France, and Sweden. Eur J Popul 10:223–274

    Article  Google Scholar 

  • Galloway PR (1994b) Secular changes in the short-term preventive, positive, and temperature checks to population growth in Europe, 1460 to 1909. Clim Change 26:3–63

    Article  Google Scholar 

  • Heckscher E (1935) Sveriges ekonomiska historia från Gustav Vasa, vol I:1. Bonnier, Stockholm

  • Heckscher E (1936a) Sveriges ekonomiska historia från Gustav Vasa, vol I:2. Bonnier, Stockholm

  • Heckscher E (1936b) Ekonomisk-historiska studier. Bonnier, Stockholm

    Google Scholar 

  • Hillingsworth TH (1969) Historical demography. The Camelot Press Ltd., London

    Google Scholar 

  • Kelly M, Gráda Ó (2014) The waning of the little ice age: climate change in early modern Europe. J Interdiscip Hist 44:301–325

    Article  Google Scholar 

  • Krantz O (2003) En skattning av svensk BNP 1571. Umeå University, Umeå

    Google Scholar 

  • Larsen U (1987) Determinants of short-term fluctuations in nuptiality in Sweden, 1751–1913: application of Multivariate ARIMA Models. Eur J Popul 3:203–232

    Article  Google Scholar 

  • Larsson L-O (1972) Kolonisation och befolkningsutveckling i det svenska agrarsamhället 1500–1640. Gleerups, Lund

    Google Scholar 

  • Lee R, Anderson M (2002) Malthus in state space: macro economic-demographic relations in English history, 1540 to 1870. J Popul Econ 15:195–220

    Article  Google Scholar 

  • Leijonhufvud L (2001) Grain tithes and manorial yields in early modern Sweden: trends and patterns of production and productivity c. 1540–1680. Swedish University of Agricultural Sciences, Uppsala

    Google Scholar 

  • Leijonhufvud L, Wilson R, Moberg A, Söderberg J, Retsö D, Söderlind U (2010) Five centuries of Stockholm winter/spring temperatures reconstructed from documentary evidence and instrumental observations. Clim Change 101:109–141

    Article  Google Scholar 

  • Linde M (2012) Sverige 1750: Åkerbruk, boskapsskötsel, befolkning. University of Gothenburg, Gothenburg

    Google Scholar 

  • Lindegren J (2000) Men, money, and means. In: Contamine P (ed) War and Competition between States. Oxford University Press, Oxford, pp 130–162

    Google Scholar 

  • Livi-Bacci M (2007) A concise history of world population. Blackwell, Cambridge

    Google Scholar 

  • Luterbacher J et al (2001) The late maunder minimum (1675–1715)—a key period for studying decadal scale climatic change in Europe. Clim Change 49:441–462

    Article  Google Scholar 

  • Maddison A (2007) Contours of the world economy, 1–2030 AD: essays in macro-economic history. Oxford University Press, Oxford

    Google Scholar 

  • McEvedy C, Jones R (1978) Atlas of world population history. Lane, London

  • McKeown T (1976) The modern rise of population. Edward Arnold, London

    Google Scholar 

  • Mokyr J, Voth H-J (2008) Understanding growth in Europe, 1700–1870: theory and evidence. In: Broadberry S, O’Rourke K (eds) The Cambridge economic history of modern Europe, vol 1. Cambridge University Press, Cambridge, pp 4–42

    Google Scholar 

  • Morell M (1986) Eli F. Heckscher, utspisningsstaterna och den svenska livsmedelskonsumtionen från 1500-talet till 1800-talet: Sammanfattning och komplettering av en lång debatt. Uppsala University, Uppsala

    Google Scholar 

  • Morell M (1989) Studier i den svenska livsmedelskonsumtionens historia: Hospitalhjonens livsmedelskonsumtion 1621–1872. Almqvist & Wiksell International, Uppsala

    Google Scholar 

  • Myrdal J (1999) Jordbruket under feodalismen: 1000–1700. Natur och kultur/LT, Lagersberg

    Google Scholar 

  • Nicolini E (2007) Was Malthus right? A VAR analysis of economic and demographic interactions in pre-industrial England. Eur Rev Econ Hist 11:99–121

    Article  Google Scholar 

  • Nilsson S (1982) Krig och folkbokföring under svenskt 1600-tal. Scandia 48:6–29

    Google Scholar 

  • Oeppen J (1993) Back projection and inverse projection: members of a wider class of constrained projection models. Popul Stud J Demogr 47:245–267

    Article  Google Scholar 

  • Ostry A, Frank J (2010) Was Thomas McKeown right for the wrong reasons? Crit Public Health 20:233–243

    Article  Google Scholar 

  • Palm L (2000) Folkmängden i Sveriges socknar och kommuner 1571–1997: Med särskild hänsyn till perioden 1571–1751. University of Gothenburg, Gothenburg

    Google Scholar 

  • Palm L (2001) Livet, kärleken och döden: Fyra uppsatser om svensk befolkningsutveckling 1300–1850. University of Gothenburg, Gothenburg

    Google Scholar 

  • Palm L (2012a) Sverige 1630: Åkerbruk, boskapsskötsel, befolkning. University of Gothenburg, Gothenburg

    Google Scholar 

  • Palm L (2012b) Sverige 1690: Åkerbruk, boskapsskötsel, skog, befolkning. University of Gothenburg, Gothenburg

    Google Scholar 

  • Persson K-G (2008) The Malthus delusion. Eur Rev Econ Hist 12:165–173

    Article  Google Scholar 

  • Pfister U, Fertig G (2010) The population history of Germany: research strategy and preliminary results, MPIDR working paper WP no. 2010-035. http://www.demogr.mpg.de/papers/working/wp-2010-035.pdf. Accessed 1 July 2012

  • Razzel P (1993) The growth of population in eighteenth-century England: a critical reappraisal. J Econ Hist 53:743–771

    Article  Google Scholar 

  • Schön L, Krantz O (2012) The Swedish economy in the early modern period: constructing historical national accounts. Eur Rev Econ Hist 16:529–549

    Article  Google Scholar 

  • Söderberg J (2010) Long-term trends in real wages of labourers. Sveriges Riksbank and Ekerlids, Stockholm

    Google Scholar 

  • Statistics Sweden (1999) Population development in Sweden in a 250-year perspective. Statistics Sweden, Stockholm

    Google Scholar 

  • Sundbärg G (1903) Rikets folkmängd åren 1750–1900, fördelad efter ålder och kön. Statistisk tidskrift H., no. 129, 136–221

  • Sundquist S (1938) Sveriges folkmängd på Gustaf II Adolfs tid: En demografisk studie. Lund

  • Voigtländer N, Voth H-J (2009) Malthusian dynamism and the rise of Europe: make war, not love. Am Econ Rev Pap Proc 99:248–254

    Article  Google Scholar 

  • Widén L (1976) A retrojection back to 1700. In: Hofsten E, Lundström H (eds) Swedish population history. main trends from 1750–1970. LiberFörlag, Stockholm, pp 169–176

  • Wilmoth J, Lundström H (1996) Extreme longevity in five countries: presentation of trends with special attention to issues of data quality. Eur J Popul 12:63–93

    Article  Google Scholar 

  • Wrigley EA, Schofield R (1989) The population history of England 1541–1871: a reconstruction. Cambridge University Press, Cambridge

    Google Scholar 

Download references

Acknowledgements

The author greatly acknowledge financial support from Riksbankens Jubileumsfond, Swedish Collegium for Advanced Study, and Jan Wallanders och Tom Hedelius Stiftelse.

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Correspondence to Rodney Benjamin Edvinsson.

Appendix: Technical details on the adjustment of vital rates

Appendix: Technical details on the adjustment of vital rates

For the period 1736–1748, the present study takes the number of births and deaths from Heckscher (1936b) rather than from Palm. Heckscher derives his series from official statistics and is compatible with the population data from 1749 onwards. Heckscher’s data are used to backproject the population to 1735, which for that year is estimated to be 1.7 million. The size of the population in 1699 is calculated as the geometric average of four conjecturesFootnote 8 and set equal to 1.44 million. For the period 1700–1735, no adjustment is made to Palm’s data on births and marriages, since there does not seem to be any underestimation (see below).

Without net migration, the following relation holds:

$${\text{Addition}}\;{\text{to}}\;{\text{population}} = {\text{Births}} - {\text{Deaths}} = {\text{Births}} - {\text{War}}\;{\text{deaths}} - {\text{Civilian}}\;{\text{deaths}}$$
(1)

Equation (1) can be rewritten so that civilian deaths is determined from the number of births, war deaths, the size of population at the end of the period and the size of population in the beginning of the period, i.e.:

$${\text{Civilian}}\;{\text{deaths}} = \,{\text{Births }} - \left( {{\text{Population}}_{{{\text{end}}\,{\text{of}}\,{\text{period}}}} - {\text{Population}}_{{{\text{beginning}}\,{\text{of}}\,{\text{period}}}} } \right) - {\text{War}}\;{\text{deaths}}$$
(2)

In this study, the civilian deaths of the first approximation (Palm’s series for 1700–1720 based on parish records and an average of Palm and Heckscher’s series for 1721–1735) are increased by the same ratio, UCD (upgrading of civilian deaths), for the whole period 1700–1735. This is the ratio of the total number of civilian deaths according to the final approximation and according to the first approximation, determined as (X stands for year; population is end-of-year):

$$\begin{aligned} {\text{UCD}}(1700\;{\text{to}}\;1735) & = \frac{{\sum\nolimits_{X = 1700}^{1735} {{\text{Civilian}}\;{\text{deaths}}_{{{\text{final}}\,{\text{approximation}}}} } (X)}}{{\sum\nolimits_{X = 1700}^{1735} {{\text{Civilian}}\;{\text{deaths}}_{{ 1 {\text{st}}\,{\text{approximation}}}} } (X)}} = \, ({\text{using equation }}2) \\ & = \frac{{\sum\nolimits_{X = 1700}^{1735} {\text{Births}} (X)\; - ({\text{Population}}_{1735} - {\text{Population}}_{1699} ) - \sum\nolimits_{X = 1700}^{1735} {{\text{War}}\;{\text{death}}} s(X)}}{{\sum\nolimits_{X = 1700}^{1735} {{\text{Civilian}}\;{\text{deaths}}_{{ 1 {\text{st}}\,{\text{approximation}}}} } (X)}} \\ \end{aligned}$$
(3)

For the period 1700–1735, the upgrading of civilian deaths (UCD) is calculated to 1.2 and is assumed to be equal for all years. For the 1720s, both Heckscher and Palm probably overestimate population growth. In particular, the crude death rate seems to be underestimated. In 1721, the crude death rate fell to 19.1 per 1,000 inhabitants according to Palm. Heckscher argues that the extremely low mortality in the 1720s was caused by the high death rate during the Great Nordic War, a view that has been criticised by other researchers (Bengtsson and Oeppen 1993, p. 3). The present study increases the crude death rate in 1721 to 20.6 per 1,000 inhabitants.

For the seventeenth century, a first approximation of the annual population is computed by using Palm’s series of population growth to interpolate between the population estimates of the present study for the two benchmarks of 1629 and 1699. In the final approximation, the death and birth rates are adjusted as well, which renders a new series of the population growth rate between the benchmark years.

Over time, it may be assumed that there was a lower floor to the civilian death rate, which was only occasionally broken. This boundary was largely determined by the living conditions in agrarian society, which probably varied positively with the rate of urbanisation (i.e. a higher rate of urbanisation implied a higher death rateFootnote 9). Mortality crises could also temporarily decrease the lower boundary for the subsequent years. Since the rate of urbanisation was quite low in Sweden in the second half of the eighteenth century, it may be assumed that the lower boundary did not change substantially before the first census in 1749.

The civilian death rate of the first approximation in year X is computed as the ratio between the number of civilian deaths according to Palm based on parish records (i.e. excluding recorded war deaths and without his further additions grounded on his judgement of the underestimation in the primary sources) and the adjusted size of the population of the first approximation according to the present study:

$${\text{CIVDR}}_{{ 1 {\text{st}}\,{\text{approximation}}}} (X) = \frac{{{\text{Civilian}}\;{\text{deaths}}_{{{\text{parish}}\,{\text{records}}}} (X)}}{{{\text{Population}}_{{ 1 {\text{st}}\,{\text{approximation}}}} (X)}}$$
(4)

To evaluate the lower boundary of the civilian death rate, its 9-year moving minimum (CIVDR9MIN1st approximation(X)) is first calculated. Subsequently an HP-filter is estimated for this 9-year moving minimum (CIVDR9MIN1st approximation, HP-filter(X)). λ is set very high. Even if the common value for λ in business cycles research is often set to 6.25 or 100 for annual data, for this study such values would be too low, since the lower boundary for death rates could be assumed to change very slowly over time. Furthermore, a higher λ increases the correlation for annual fluctuations with Palm’s data. For the period 1631–1679, the correlation is maximised when λ = 32,937, which is also the value set for the HP-filter. Furthermore, the correlation between the logarithmic annual changes in the silver price of grain and deaths is maximised when λ is around that value as well. For the period 1749–1820, a HP-filter for the 9-year moving minimum of the civilian death rate with λ = 32,937 entails a coefficient of variation of only 0.004, while at λ = 6.25 it is 0.032 and at λ = 100 it is 0.022.

A ratio, R CIVDR, 1st approximation(X), is computed as the average level of the 9-year moving minimum in 1749–1820 (i.e. before the secular decline in death rates) to this filter for a year X, i.e.;

$$R_{{{\text{CIVDR,1st}}\,{\text{approximation}}}} (X) = \frac{{\frac{1}{72}\sum\nolimits_{k = 1749}^{1820} {{\text{CIVDR9MIN}}_{{ 1 {\text{st}}\,{\text{approximation}}}} (k)} }}{{{\text{CIVDR9MIN}}_{{ 1 {\text{st}}\,{\text{approximation, HP-filter}}}} (X)}}$$
(5)

Assuming that the lower boundary for the civil death rate did not change much during the early modern period, the ratio should be around one for the whole period. A ratio higher than one is an indicator that the civil death rate is underestimated. For the period 1681–1735, R CIVDR, 1st approximation(X) is quite stable, and for the period 1681–1699, the number of civilian deaths is increased by the same rate as in 1700–1735 [UCD (1700–1735)]. Going backward from 1681, R CIVDR, 1st approximation(X) increases substantially. For a year X before 1681, the number of civilian deaths in the second and final approximation is calculated as:Footnote 10

$$\begin{aligned} & {\text{Civilian}}\;{\text{deaths}}_{{{\text{final}}\,{\text{approximation}}}} (X) = {\text{Civilian}}\;{\text{deaths}}_{{{\text{parish}}\;{\text{records}}}} (X){\text{UCD}}(X) \\ & = {\text{Civilian}}\;{\text{deaths}}_{{{\text{parish}}\,{\text{records}}}} (X)\frac{{R_{{{\text{CIVDR,1st}}\,{\text{approximation}}}} (X)}}{{R_{{{\text{CIVDR,1st}}\,{\text{approximation}}}} (1731)}}{\text{UCD}}(1700\;{\text{to}}\;1735) \\ \end{aligned}$$
(6)

Since R CIVDR, 1st approximation(1731) ≈ 1.326, this implies that the upward revision of total deaths (for 1731 UCD is 1.2, see above) is still too low compared with an assumption that the moving 9-year minimum of the civilian death rate would be at the same level as that in 1749–1820. However, the further upward revision of deaths implies too high population estimates for the seventeenth century. It may also be assumed that the severe mortality crises in the period 1630–1748 decreased the lower boundary for the civilian death rate somewhat compared with that in the period 1749–1820.

Since birth and marriages seem to follow each other, their adjustment is made together. Adjusting birth and marriage rates is more difficult since there could be some substantial long-term trends. An HP-filter of the crude birth rate (CBR) and marriage rate (MR) according to the first approximation is estimated for the period up to 1735, for year X designated as CBR1st approximation, HP-filter(X) and MR1st approximation, HP-filter(X), respectively. For the years before 1700, the number of births is recalculated as (i.e. births according to Palm are multiplied by the geometric average of the upgrading indicated by the birth and marriage rates, respectively):

$${\text{Births}}_{{{\text{final}}\,{\text{approximation}}}} (X) = {\text{Births}}_{\text{Palm}} (X)\sqrt {\frac{{{\text{CBR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\,{\text{HP-filter}}}} (1700)}}{{{\text{CBR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\,{\text{HP-filter}}}} (X)}}\frac{{{\text{MR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\;{\text{HP-filter}}}} (1700)}}{{{\text{MR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\;{\text{HP-filter}}}} (X)}}}$$
(7)

The number of marriages in year X (before 1700) is similarly determined as:

$${\text{Marriages}}_{{{\text{final}}\,{\text{approximation}}}} (X) = {\text{Marriages}}_{\text{Palm}} (X)\sqrt {\frac{{{\text{CBR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\,{\text{HP-filter}}}} (1700)}}{{{\text{CBR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\,{\text{HP-filter}}}} (X)}}\frac{{{\text{MR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\,{\text{HP-filter}}}} (1700)}}{{{\text{MR}}_{{ 1 {\text{st}}\,{\text{approximation,}}\,{\text{HP-filter}}}} (X)}}}$$
(8)

Since no net migration is assumed, the annual population can then be calculated by back projection from the estimated birth and deaths rates from the benchmark of 1699 (end-of-year). Through such back projection, the estimated population in 1629 (end-of-year) comes very close to the estimate described above, and it depends on the λ for CBR1st approximation, HP-filter(X) and MR1st approximation, HP-filter(X), which in itself is an indication that the method used produces sound results. Setting λ = 3430, which has been computed iteratively, implies that the population estimate for 1629 is the same as that according to the calculations above. A lower λ for CBR1st approximation, HP–filter(X) and MR1st approximation, HP-filter(X) than for the filter of the moving 9-year minimum of the civilian death rate is reasonable, considering that the lower boundary of the death rate may be assumed more stable than the trends for the birth and marriage rates. Henceforth, no further adjustments are necessary. The revised data are presented in Tables 3, 4, 5, and 6.

Table 3 Population in Sweden within present borders, 1000s, end-of-year, 1620–1759
Table 4 The crude death rate in Sweden, number of deaths per 1,000 end-of-year inhabitants, 1630–1759
Table 5 The crude birth rate in Sweden, number of births per 1,000 end-of-year inhabitants, 1630–1759
Table 6 The marriage rate in Sweden, number of marriages per 1,000 end-of-year inhabitants, 1630–1759

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Edvinsson, R.B. Recalculating Swedish pre-census demographic data: Was there acceleration in early modern population growth?. Cliometrica 9, 167–191 (2015). https://doi.org/10.1007/s11698-014-0112-z

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