1997
DOI: 10.1017/s0022050700019586
|View full text |Cite
|
Sign up to set email alerts
|

The Determinants of the Wealth and Asset Holding in Nineteenth-Century Canada: Evidence from Microdata

Abstract: Wealth and asset holding in late-nineteenth-century Ontario are examined using a new data set of census-linked probated decedents. Hump-shaped wealth-age profiles are found, supporting the importance of demographic and life cycle forces in late-nineteenth-century financial asset accumulation. With financial asset holding more pronounced in Ontario than Quebec, the implication for Canadian economic development is that the differences in capital formation and industrialization across Ontario and Quebec are partl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
19
0

Year Published

1998
1998
2018
2018

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 29 publications
(19 citation statements)
references
References 30 publications
0
19
0
Order By: Relevance
“…There is also an economic history literature that has examined the determinants of wealth, property ownership and inequality with various specifications employed. See for example, Atack and Bateman (1981), Pope (1989), Steckel (1990), Galenson (1991), Haines and Goodman (1991), Herscovici (1993Herscovici ( , 1998, Ferrie (1994Ferrie ( , 1995Ferrie ( , 1999, Gregson (1996), Di Matteo (1997Matteo ( , 1998, Conley andGalenson (1998), Walker (2000), Steckel and Moehling (2001).…”
Section: Literature and Contextmentioning
confidence: 97%
See 2 more Smart Citations
“…There is also an economic history literature that has examined the determinants of wealth, property ownership and inequality with various specifications employed. See for example, Atack and Bateman (1981), Pope (1989), Steckel (1990), Galenson (1991), Haines and Goodman (1991), Herscovici (1993Herscovici ( , 1998, Ferrie (1994Ferrie ( , 1995Ferrie ( , 1999, Gregson (1996), Di Matteo (1997Matteo ( , 1998, Conley andGalenson (1998), Walker (2000), Steckel and Moehling (2001).…”
Section: Literature and Contextmentioning
confidence: 97%
“…The census listed only children still living within the household whereas the probate records generally listed all the children who were 21 The inventory categories were:(1) Household goods and furniture, (2) Farm implements, (3) Stock in trade, (4) Horses, (5) Cattle, (6) Sheep and Swine, (7) Book Debts and Promissory Notes, (8) Moneys secured by mortgage, (9) Life Insurance, (10) Bank stocks and other shares, (11) Securities, (12) Cash on hand, (13) Cash in bank (14) Farm produce, (15) Real estate, (16) Other personal property. 22 For a full data collection description, see Di Matteo (1997). 23 Some omitted probated decedents were residents of other Canadian provinces or the United States and Britain but with Ontario property.…”
Section: Datamentioning
confidence: 99%
See 1 more Smart Citation
“…One group may arrive with more capital of all types (e.g., more education, higher-status occupations, or greater wealth), establish a community and retain that advantage, which may then advantage later arrivals of the same group. These time of arrival inequalities are furthered by the maturation of early arriving immigrant populations and the individual-level accumulation of resources associated with aging (Atack and Bateman, 1981; Di Matteo 1997; 2001). …”
Section: A Frameworkmentioning
confidence: 99%
“…Probate inventories constitute a kind of summation of one's life in economic terms and include a rather detailed description of assets (real estate, personal property, claims and financial savings) as well as debts by value and kind. By comparing inventories for deceased in different age groups, the development of the economic situation over the life cycle can be reconstructed (for example Di Matteo, 1997). In this study the method was used to reconstruct net wealth (assets minus debts) in different stages of life, in order to analyze savings for old age and children's impact on wealth.…”
Section: Aim Methods and Datamentioning
confidence: 99%