Joshua Rosenbloom and Brandon Dupont

Slides:



Advertisements
Similar presentations
Attrition in the LS: issues, results, and conclusions Lucinda Platt University of Essex.
Advertisements

Welcome to the World of Investigative Tasks
World Distribution of Household Wealth James Davies, Susanna Sandström, Anthony Shorrocks and Edward Wolff World Institute for Development Economics Research.
Migration Patterns and Mover Characteristics from the 2005 ACS Gulf Coast Area Special Products Kin Koerber Housing and Household Economic Statistics Division.
Changing Demographics in Texas
Income Mobility February 14, What is income mobility and why is it important? Income mobility refers to the amount of movement across income ranks.
The Difference a State Makes: Women’s Allocation of Unpaid Work in the 50 States Jennifer Hook, Department of Sociology, University of Washington Data.
Population and migration analysis from the 2011 Census Lorraine Ireland and Vicky Field Census Analysis Unit, Population Statistics Division, ONS 17 July.
U.S. Hispanic Population: Population Size and Composition 13.3% of the U.S. population is Hispanic. People of Mexican origin comprise 66.9% of the.
Lecture 2 Income Inequality, Mobility, and the Limits of Opportunity.
The Gender Gap in Educational Attainment: Variation by Age, Race, Ethnicity, and Nativity in the United States Sarah R. Crissey, U.S. Census Bureau Nicole.
Lecture 2 : Inequality. Today’s Topic’s Schiller’s major points Introduction to Census data.
Perceptions of Economic Insecurity: Evidence from Rural and Urban Workers in Russia, Susan J. Linz and Anastasia Semykina Michigan State University.
A Demographic and Socioeconomic Profile of the Region
Native and immigrant fertility patterns in Greece: a comparative study based on aggregated census statistics and IPUMS micro-data Cleon Tsimbos 1, Georgia.
Why are White Nursing Home Residents Twice as Likely as African Americans to Have an Advance Directive? Understanding Ethnic Differences in Advance Care.
Additional analysis of poverty in Scotland 2013/14 Communities Analytical Services July 2015.
The route out of the routine: mobility and the changing structure of occupations Craig Holmes and Ken Mayhew International Labour Process.
Do Individual Accounts Postpone Retirement? Evidence from Chile Alejandra C. Edwards and Estelle James.
U.S. Hispanic Population: 1999 Helping You Make Informed Decisions.
[ 5.5 ] The Labor Force.
Elizabeth M. Grieco Chief, Foreign-Born Population Branch
Population Growth & Distribution
Population Cultural Geography.
Family and household structure Part 2
Human Population Pyramids
Statistics 200 Lecture #9 Tuesday, September 20, 2016
Human Population Growth
Demographic Characteristics and Trends for Smith County and Tyler, TX
Mesfin S. Mulatu, Ph.D., M.P.H. The MayaTech Corporation
World Population Growth Through History
Characteristics of Households in ‘Problem Debt’
Mali – Bamako Workshop In Labor Statistics (Ls) African Center Of Statistics (ACS) of the United Nations Economic Commission for Africa(ECA),THE United.
Global Estimates on Child Labour ( )
Health of Wisconsin: Report Card 2016
DEMOGRAPHIC TRANSITION
Joseph B Nichols 2008 NASM of the Econometric Society June 21, 2008
Summary of Slide Content
Descriptive Statistics (Part 2)
How demographics and the economic downturn are affecting the way we live LSE Seminar: 1 July 2013 Neil McDonald: Visiting Fellow CCHPR.
Jobseekers per Vacancy – SE Minnesota
CHAPTER 11 Inference for Distributions of Categorical Data
Estimating Migration from Census data Issues for consideration
DEMOGRAPHIC TRANSITION
U.S. Hispanic Population: 2000
Worker Mobility: Migration, Immigration, and Turnover
How Hispanics Are Changing the Face of Nevada
Pleasant Hill Population Characteristics
CHAPTER 11 Inference for Distributions of Categorical Data
Informal Caregiving Formal Employment.
World Distribution of Household Wealth
Current conditions.
CHAPTER 11 Inference for Distributions of Categorical Data
Sampling Distributions
Figures adapted from the TIEDI Analytical Report #8:
Chapter 13: Economic Challenges Section 3
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
Study: Who are the working women in Canada’s top 1%?
CHAPTER 11 Inference for Distributions of Categorical Data
CHAPTER 11 Inference for Distributions of Categorical Data
Oregon Demographic Trends
Recent Incidences and Trends of the Top Cancers in Northeast Tennessee Appalachian Region Adekunle Oke1, Sylvester Orimaye2, Ndukwe Kalu1, Dr. Faustine.
Danielle Lowry University of Pittsburgh
Presentation transcript:

Joshua Rosenbloom and Brandon Dupont The Impact of the Civil War on Southern Wealth Mobility WEAI Conference, 2015 Joshua Rosenbloom and Brandon Dupont

Impact of the Civil War

Did the War Displace the Southern Elite? The number of Southern landholdings doubled and their average size was cut in half after the Civil War (Shugg, 1939) Southern planter elites were therefore uprooted by the war (C. Vann Woodward, 1951) More recent work has challenged this view Wiener (1979): 43% of 236 largest landholders in five Alabama counties remained among the elite in 1870 Campbell (1982): Geographical persistence in one Texas county – 43% of large planters persistence from 1860 to 1870; 22% of poor whites persisted

The Open Questions Wiener and Campbell study transitions within a circumscribed geography (counties) Recent advances make it possible to link records nationally We ask two questions Where did the 1870 top wealth holders come from? What happened to top 1860 wealth holders by 1870?

Methods and data 1860 and 1870 Census included questions on real and personal property holding We start with top 10% of wealth holders in each year Link backward/forward using Ancestry.com Household heads 25-65 years old in each year Living in Northeast, North Central, South Atlantic or South Central (exclude Western areas) Search based on name, age (+ 2 years), birthplace Still working on linkage Results here reflect backward linkage for ~top 5% in 1870

Results We find a fair amount of turnover at the top But considerably more in the South than the North Of top 5% of wealth holders in the South, 48% had been below the 90th percentile in 1860 In the North this figure was just 33%

Backward Linkage We start with 1870 1.2% IPUMs We have so far examined 2,506 (of about 7,700) records for linkage We accept a link if name and age match 46% of records are successfully linked Requiring birthplace would lower linkage to 45% We assume high wealth individuals are easier to link Wealth cut off determined by percentiles in the 1% sample We start with the wealthiest individuals and are working down the list

Linked observations based on Linkage Results Linked observations based on Difference in means Name and + No Link Age Birthplace HH Member P value of (1) (2) (3) (4) (2)-(1) difference Nobs 1,352 1,154 1,124 991 age 47.8 51.9 51.8 52.8 4.11 0.000 Nonwhite 1.1% 0.2% 0.1% -0.9% 0.003 North 52.1% 68.9% 69.1% 68.8% 16.8% Urban Resident 62.9% 64.1% 64.2% 65.1% 1.3% 0.515 male 91.3% 94.3% 94.4% 95.3% 3.0% Foreign Born 16.1% 10.9% 11.1% 11.4% -5.2% Value of Real Property $24,166 $29,037 $28,722 $28,438 $4,871 0.002 Value of Personal Property $12,285 $15,583 $15,084 $14,014 $3,298 0.029 Has wife 80.7% 86.7% 86.9% 89.2% 6.0% Has child 82.7% 89.7% 89.6% 91.0% 7.0% Living Outside State of Birth 50.3% 43.3% 43.4% 43.8% -7.0% Professional & Technical 7.6% 8.8% 8.9% 8.3% 0.303 Farming 41.2% 43.9% 45.7% 2.6% 0.196 Clerical&Managerial 28.6% 25.8% 25.4% 24.9% -2.8% 0.116 Sales 1.7% 1.8% 0.5% 0.331 Craftsmen 3.7% 5.0% 5.1% 5.2% 0.107 Operatives & Kindred workers 1.9% 2.8% 0.8% 0.164 Service workers 0.4% 0.3% -0.2% 0.434 Laborers 0.9% -0.5% 0.079 Non-Occupational 14.3% 11.5% 11.6% 10.7% 0.035 Linked individuals are Older More northern More likely to be male Native born Wealthier More likely to be married or have children More likely to live in state of birth

1860 Wealth Levels of the 1870 Top 5% of Wealth Holders, by Region Shows the origins of 1870 top-wealth holders that we have been able to locate in the 1860 census in terms of their relative wealth holding at the time of that census. The first column for each region reports totals, while the next two columns break the top wealth group into two groups: the wealthiest 1 percent, and those in the top 95-99 percent of wealth holders. In both regions roughly similar fractions (10.3 percent in the South vs. 11.6 percent in the North) moved from the bottom 55% into the top tier of wealth holders But a much larger number of those in the 55th-90th wealth percentiles in 1860 had been able to move up in the South. In 1870, nearly 40 percent of the top wealth holders were drawn from this group. In contrast, this group made up just over 20 percent of top wealth holders in the North.

Probits: probability that an individual in the top 5% of 1870 wealth holders was among the top 10% of wealth holders in 1860 One concern in interpreting the results in previous table: may be influenced by differences in sample composition across regions. Probability of linkage varied systematically with a number of personal characteristics, and it is possible that these differences affect differences in measured persistence across regions. To test this hypothesis we report the results of estimating a probit regression where the dependent variable takes the value 1 if the individual was in the top 10% of 1860 region wealth holders. Whether demographic controls included or not: 1870 residence in North increases the probability that a top wealth holder was in the top 10% in 1860 by about 20 percentage points.

Interstate Migration Between 1860 and 1870 Only a few wealthy individuals migrated between regions in the 1860s: only 5% of top southern wealth holders and 1% of top northern wealth holders had lived in a different state 10 years earlier. Interstate migration was also relatively uncommon, and about equally likely within each region. Among top wealth holders in 1870 only 12.3 percent of those in the South had moved across state lines in the previous decade while the corresponding figure for the wealthiest northerners was 9.3 percent.

Conclusion We are expanding our sample of top 1870 wealth holders linked to the 1860 census and gathering data needed to link top wealth holders in 1860 to the 1870 census. By examining the fates of those at the top of the wealth distribution in 1860 we expect in the future to be able to provide greater insight about where those who fell out of the top wealth group landed.