1998
DOI: 10.1006/exeh.1998.0699
|View full text |Cite
|
Sign up to set email alerts
|

Wealth Accumulation and the Life-Cycle in Economic History: Implications of Alternative Approaches to Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
17
0

Year Published

2000
2000
2018
2018

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 24 publications
(20 citation statements)
references
References 37 publications
3
17
0
Order By: Relevance
“…Di Matteo [11] applies nonparametric techniques to the estimation of wealth-age profiles and finds the high rates of accumulation estimated by standard studies using the quadratic age specification overestimate wealth accumulation rates. In another study Di Matteo [12] applies nonparametric techniques to the relationship between the exchange rate and international travel and finds that relative to the nonparametric technique OLS can yield substantial under-and overestimates of the dependent variable as the exchange rate varies.…”
Section: Nonparametric Estimation: An Overviewmentioning
confidence: 99%
“…Di Matteo [11] applies nonparametric techniques to the estimation of wealth-age profiles and finds the high rates of accumulation estimated by standard studies using the quadratic age specification overestimate wealth accumulation rates. In another study Di Matteo [12] applies nonparametric techniques to the relationship between the exchange rate and international travel and finds that relative to the nonparametric technique OLS can yield substantial under-and overestimates of the dependent variable as the exchange rate varies.…”
Section: Nonparametric Estimation: An Overviewmentioning
confidence: 99%
“…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%
“…Lee (2001:176-177). 2 See Di Matteo (1996Matteo ( , 1997Matteo ( , 1998. 3 See for example Engerman (1996), Carter and Sutch (1996), Costa (1996) and Gratton (1996).…”
Section: Introductionmentioning
confidence: 98%
“…Di Matteo (1997), using census-linked probated wealth data for Ontario in 1892, found that religious affiliation was not a significant determinant of total wealth but that Roman Catholics and Methodists were more likely to own real estate, while Roman Catholics were less likely to own financial assets. However, when weighted regression, which places a heavier weight on the younger individuals in the probated decedent data, was used, Catholics and Methodists were found to have significantly less wealth than Anglicans in 1892 (Di Matteo 1996).…”
Section: Literaturementioning
confidence: 98%
“…Baskerville (2001: 61-62) remarks that "studies of the relationship between religion and wealth in the late nineteenth and early twentieth centuries have not been at the forefront of current scholarship in business, economic, religious or social history." While there is a substantial literature on historical wealth determinants and inequality in North America, the variables focused on include occupation, ethnic origin, birthplace, urbanization, and age and rarely consider religious affiliation (e.g., Atack and Bateman 1981;Pope 1989;Steckel 1990;Galenson 1991;Haines and Goodman 1991;Herscovici 1993Herscovici , 1998Ferrie 1994Ferrie , 1995Ferrie , 1999Gregson 1996;Di Matteo 1997Conley and Galenson 1998;Walker 2000;Steckel and Moehling 2001). Exceptions to this include work by Gordon Darroch and Lee Soltow (1994), Livio Di Matteo (1996Matteo ( , 1997, and Baskerville (2001), but they are able to make use of Canadian census data, which record religious affiliation, in contrast to U.S. census data.…”
Section: Literaturementioning
confidence: 99%