SLIDE 1
SLIDE 2 C O N T E N T S
Keister & Moller 2000 1 Killewald et al. 2017 2 Other Research 3
SLIDE 3
Introduction and Measures of Wealth Who was the most unequal industrial society in 1990s? (Top one percent – nearly 40% wealth) Net Worth: total assets – total liabilities/debt
Keister & Moller 2000
SLIDE 4 Empirical Source Sources of Wealth Data and Limitations Scholars who tried to deal with data:
- Wolff 1980, 1983 (income capitalization on census)
- Greenwood 1983, 1987 (income capitalization on CPS)
- Keister 2000b (microsimulation modeling on SFCC)
Keister & Moller 2000
SLIDE 5
Trends in Wealth Inequality How much did top one percent of people own? 1950s: 35% 1962: 33.5% 1972: 29% 1976: 19% 1983: 33.8% (what bottom 80% owned declined) 1989: 37.4% (what top 0.5% owned increased more) 1995: 38.5%
Keister & Moller 2000
SLIDE 6
Keister & Moller 2000
Source: Keister & Moller 2000, p.67
SLIDE 7 Explanation of Wealth Inequality
market fluctuations (stock, real estate market) e.g. social pressure, solicitous insurance sales man, unstable financial market to family portfolio behavior
Age, Race, Family Structure (marriage, widowhood, family size, family dissolution etc.)
Keister & Moller 2000
SLIDE 8 Explanation of Wealth Inequality
- Integration of Macro and Micro Level
Stechkel & Krishman 1992 Angle 1986, 1993 Greenwood 1983, Keister 2000b, Wolff 1980 etc.
Keister & Moller 2000
SLIDE 9 Intergenerational Processes, Mobility & Inheritance
extreme wealth inequality?
- Poverty transmission?
- Inequality exacerbation?
Keister & Moller 2000
Picture Source: twoeggz.com
SLIDE 10 Introduction and Measures of Wealth
- Keister & Moller 2000; Spilerman 2000
- Part I: Challenges
- Part II: Data
- Part III: Effects and Determinants of Wealth
Killewald et al. 2017
SLIDE 11 Part I: Conceptual and Methodological Challenges
- To tackle concerns of inaccurate measurement:
- Averaging income measures across several preceding
years, when possible;
- Modeling wealth accumulation using either lagged
dependent variables or change models.
Killewald et al. 2017
SLIDE 12 Part I (cont. more ways of tackling measurement problems) Operationalizing an Error-Prone, Highly Skewed Variable
- Median regression
- Log-transform net worth
- Inverse hyperbolic sine (HIS) transformation
- Wealth as independent variable (x) and dependent variable (y)
Killewald et al. 2017
SLIDE 13
Part II: Wealth Data and Patterns
Recall: Trends in Wealth Inequality Keister & Moller 2000 How much did top one percent of people own? 1950s: 35%, 1962: 33.5%, 1972: 29%, 1976: 19% 1983: 33.8%, 1989: 37.4%, 1995: 38.5% New: 1989 – 2013 (Pfeffer & Schoeni 2016) 2001: 32%, 2013: 36%
Killewald et al. 2017
SLIDE 14
Large-scale Surveys Fielded in the US and Abroad
SLIDE 15
Trends in Wealth and Wealth Inequality (estimates from Pfeffer & Schoeni 2016)
Killewald et al. 2017
SLIDE 16 Part III: Wealth Consequences and Determinants
- Wealth as predictor (X)
- Impact of Parental Wealth:
- ffspring education, career, wealth
- Impact of Individual Wealth:
Financial resources, homeownership, employment, retirement, health and mortality, family structure (marriage, cohabitation, remarriage, fertility delay, parenthood), living environment, cultural status and achievement, political power etc. Killewald et al. 2017
SLIDE 17 Part III: Wealth Consequences and Determinants
Xs: income, housing, risky assets, family structure, health etc.
Age Social Origins Education Race, ethnicity and nativity Gender Macro-level context and Policy Killewald et al. 2017
SLIDE 18 Conclusion: Wealth as Important Dimension of Social Stratification Some key words for future research
- perationalizing net worth
- data availability
- components of wealth
- qualitative research on wealth generation and use
- racial/ethnic groups, nativity, and gender
- macro-level determinants
Killewald et al. 2017
SLIDE 19
More Research on Race and Wealth Inequality Oliver and Shapiro 1997 - black middle class Keister 2000 - high-risk asset ownership Scholz & Levine 2003 - income and demographic characteristics Altonji & Doraszelski 2005 - the role of permanent income …
SLIDE 20
Thank You!