Index

Mobility and Inequality Trends

ISBN: 978-1-80382-902-9, eISBN: 978-1-80382-901-2

ISSN: 1049-2585

Publication date: 25 January 2023

This content is currently only available as a PDF

Citation

(2023), "Index", Bandyopadhyay, S. and Rodríguez, J.G. (Ed.) Mobility and Inequality Trends (Research on Economic Inequality, Vol. 30), Emerald Publishing Limited, Leeds, pp. 267-275. https://doi.org/10.1108/S1049-258520230000030012

Publisher

:

Emerald Publishing Limited

Copyright © 2023 Sanghamitra Bandyopadhyay and Juan Gabriel Rodríguez


INDEX

Absolute inequality
, 140

Agriculture hukous
, 188

Aid to Dependent Children (ADC)
, 77

Aid to Families with Dependent Children (AFDC)
, 77

Autonomous Community
, 221–222, 231

Auxiliary database
, 120–121

relation between age of respondent and wave to impute fathers’ income
, 121

summary statistics of imputed fathers’ income for EPF waves
, 122

Bad distributional inequality
, 55–56

Bad income inequality measurement

Canadian example
, 56–61

distributional equality
, 54–56

Gini coefficient and coefficient of variation
, 52–54

Bad inequalities
, 50–51, 56

Baseline regression
, 249

Bayes’ theorem
, 196

Between-category commonalities
, 58

BGini
, 52–53, 58–59

Blinder and Oaxaca

approach
, 209

breakdown of variance of logarithms of incomes
, 215

decomposition
, 188–189, 195

Canadian example
, 56–61

coefficients of variation
, 59

DCV Analysis
, 61

DGI Analysis
, 60

Gini Decomposition Analysis
, 58

good and bad inequality analysis
, 59

inequality modulated income well-being measures
, 61

subgroup average income and category shares
, 57

Capital income
, 4–5, 9, 24, 76

Centro de Investigaciones Sociológicas (CIS)
, 110, 115

Children’s outcomes
, 66, 70, 93

China

analysing results of RIF Regressions
, 195

comparing dispersion of logarithm of incomes in two groups, urban locals and migrants
, 195–197

data sources and summary statistics
, 189–191

determinants of logarithm of incomes
, 191–195

differences between provinces in Mincerian earnings functions
, 197–198

income inequality in urban areas in
, 189

pattern of urban inequality changes in
, 190–191

China Family Panel Study (CFPS)
, 188

China Household Income Project (CHIP)
, 185–186

data
, 187

dataset
, 189

survey
, 187

Circumstances
, 66, 77

as ‘parental effort’
, 99, 108

variables
, 79–80

Coefficient of variation, measuring good and bad inequality with
, 52–54

Collective bargaining structures
, 8

COME-HERE database
, 220

Comparison theory
, 110, 112–113, 125–126

Composition effects
, 7, 210

Control variables
, 117–118, 126, 245, 248–249, 264–265

Corporate debt markets
, 244

Correlates of War (COW v3.0)
, 17

Covariates, descriptive trends of
, 18–19

COVID-19

baseline regression
, 249

crisis
, 220

data
, 245–247

descriptive statistics
, 246

empirical results
, 249

heterogeneity test in developed and developing countries
, 249–252

methodology
, 247–249

pandemic and economic stimulus policies
, 245

robustness test
, 252–253

Cross-border investment
, 5, 35

Cross-country analysis
, 151

Cross-National Equivalent File 1970–2016 (CNEF 1970–2016)
, 169

Cumulative distribution functions (CDFs)
, 175

d-inequality approach
, 154

Data

circumstance variables
, 79–80

control variables
, 117–118

cross-section statistics in United States and West Germany
, 170

dependent variable
, 114–115

generation process
, 120

on income inequality
, 10–12

intergenerational immobility
, 75

intergenerational mobility and life satisfaction in Spain
, 114

intergenerational mobility variables
, 115–117

multifaceted approach to earnings mobility comparisons
, 169–173

outcome variables
, 76–79

pattern of urban inequality changes in China
, 190–191

processing
, 45

sources
, 10–19, 189

Decile ratios
, 10, 12, 14, 29, 45

Decomposition

approach
, 70, 74, 97

framework
, 69–70

Degree of dominance
, 176

Dependent variables
, 19, 28, 114–115, 209

developing economies
, 30

high-income OECD
, 29

lagged
, 20

Deprivation
, 144

average
, 144–145

society
, 153, 156

Descriptive statistics, additional details in
, 257–262

Descriptive trends

of covariates
, 18–19

of income inequality
, 12–14

Determinants of logarithm of incomes
, 191–195

regression results
, 193

RIF regression results
, 194

Developing countries
, 26–27

dispersion of wages in
, 5

education inequality in
, 15

income inequality in
, 6

Difference-in-differences framework (DID framework)
, 247–248

Directional mobility
, 166, 168, 177 (see also Positional mobility)

as earnings risk
, 179–180

as equaliser of long-term earnings
, 177–179

as individual earnings growth
, 177

Dispersion of logarithm of incomes
, 195–197

Dissociative theory
, 126

Distributional coefficient of variation (DCV)
, 54–55

Distributional Equality
, 54–56

Distributional Gini coefficient (DGI)
, 54–55

Distributions
, 55, 123

Downward mobility
, 110, 112–113, 123–129, 131

Earlier week (EW)
, 247, 257

Earnings
, 170

mobility as earnings flux
, 166, 169

mobility as earnings risk
, 169, 179–180

Econometric method
, 20–21

Economic inequality
, 244

pandemic on
, 245

Economic policies
, 253

Economic relevance of finance
, 6–7

Economic stimulus policies

baseline regression
, 249

data
, 245–247

descriptive statistics
, 246

empirical results
, 249

heterogeneity test in developed and developing countries
, 249–252

methodology
, 247–249

robustness test
, 252–253

Education
, 7–9, 15–16, 31, 70, 75

Gini coefficient
, 15–16

and income inequality
, 30–34

Empirical analysis
, 2, 10, 169, 173

data on income inequality
, 10–12

descriptive trends of covariates
, 18–19

descriptive trends of income inequality
, 12–14

directional mobility
, 177–180

drivers of income inequality
, 15–18

positional mobility
, 173–176

summary statistics of income inequality series
, 12

Empirical results

additional
, 263–266

baseline regression with short-term effect
, 263

short-term effect in developed countries
, 265–266

Employment status
, 110

Encuesta de Presupuestos Familiares (EPF)
, 111, 120

Equal pay
, 51, 56

Equalising mobility
, 178–179

Estimated Household Income Inequality (EHII)
, 10

Estimation

methods
, 10–11, 19–21, 81

sample
, 45–46

EUROMOD
, 221, 224, 231

European Centre for Disease Prevention and Control (ECDC)
, 246

European countries ranking
, 151–155

Ebert’s index of inequality for sample of 36 countries
, 155

pairwise comparisons
, 152

Pearson correlation coefficients for different rankings of countries
, 154

welfare and inequality indicators
, 153

European Union (EU)
, 220

European Union Statistics on Income and Living Conditions (EU-SILC)
, 151

Eurostat
, 151

Exogenous circumstances
, 99

Family Identification Mapping System (FIMS)
, 76

Family income
, 68, 76–77

Finance, economic relevance of
, 6–7

Financialisation
, 6, 17–18

Fiscal policy
, 244–246

Fisher-type unit-root test
, 21

Fit for purpose inequality measurement
, 50

Fixed-effect estimation
, 20

Foreign direct investment (FDI)
, 3

Foster–Greer–Thorbecke poverty measures (FGT poverty measures)
, 221

Functional income inequality
, 9–10, 16

Gâteaux derivative
, 206

Gender
, 110

General least squares (GLS)
, 20

Generalised method of moments estimator (GMM estimator)
, 20

German labour market
, 169

German Socio-Economic Panel (GSOEP)
, 166

Gini
, 3, 15, 20

index
, 139, 141–143, 151, 186, 199, 206–207

mean difference
, 142

social welfare function
, 141

transvariation measure
, 54

Gini coefficients
, 2, 11–12, 28, 58

measuring good and bad inequality with
, 52–54

Globalisation
, 5–6, 17

financial
, 3

variables
, 20

Good income inequality measurement

Canadian example
, 56–61

distributional equality
, 54–56

Gini coefficient and coefficient of variation
, 52–54

Good inequality
, 50, 56

Governments redistributive policies
, 9

Great Depression
, 243

Gross domestic product (GDP)
, 16, 186, 245

Health policies
, 9

Heckscher–Ohlin model
, 5, 26

Hedonic adaptation theory
, 110, 112

Heterogeneity

baseline regression with cumulative effect
, 250

cumulative effect in developed countries
, 251–252

developing economies
, 30

high-income OECD
, 29

across income distribution
, 28–30

test in developed and developing countries
, 249–252

High-income countries
, 5, 15, 145

High-income OECD countries
, 34

High-income parents
, 66

Household Budget Survey
, 120

Household Registration System
, 186

Human capital model
, 7

Human resource categories
, 58

Immobility
, 69

measure
, 167

Imputation
, 121–122

Incidence
, 229–231

Income (s)
, 70, 76, 166

concept
, 169

determinants of logarithm of
, 191–195

Gini coefficient
, 10

Gini series
, 12

income-based measures
, 11

income-sharing unit
, 45

mobility
, 166

per capita
, 141

survey data
, 141

variation
, 50

Income distribution
, 151

comparison of
, 143–145

heterogeneity across
, 28–30

Income inequality
, 50, 139, 150, 154

data on
, 10–12

datasets
, 10

descriptive trends of
, 12–14

developing economies
, 26

drivers of
, 8, 15

economic relevance of finance
, 6–7

education
, 7–8, 15–16

education and income inequality
, 30–34

effect
, 7

empirical analysis
, 10–19

estimation method
, 19–21

financialisation
, 17–18

functional and personal income inequality
, 9–10

global sample
, 24

globalisation
, 5–6, 17

heterogeneity across income distribution
, 28–30

high-income OECD
, 25

labour market institutions and welfare state redistribution
, 8–9, 18

regional heterogeneity
, 34–38

results
, 21–23

technological change
, 4–5, 16–17

theory and empirical evidence
, 3–4, 23–28

Index of inequality
, 148

Individual earnings
, 68, 166

growth
, 168

individual labour earnings
, 76

Inequality
, 229–231

comparison of income distributions
, 143–145

comparisons
, 142–145

equivalence criterion
, 146

European countries
, 151–155

Gini index and social welfare
, 142–143

inequality comparisons of distributions x and y using relative and absolute Gini indices
, 144

inequality-neutral changes
, 145

intermediate inequality comparisons
, 145–151

mean income and Gini index for 36 European Countries in 2018
, 160–161

modulated well-being measurement
, 51

pairwise income differences for hypothetical distribution
, 142

and social welfare
, 142

values αx for sample of 36 Countries
, 162–163

Inequality of opportunity (IOp)
, 66

accounting for direct influence of preceding circumstances
, 73–74

accounting for preceding and mediating circumstances
, 70–73

conventional definition of
, 74

decomposition framework
, 69–70

decomposition of IGE elasticity
, 69

literature
, 69, 79

on similarities between IGE and
, 74–75

Influence function (IF)
, 206

Information and communication technology (ICT)
, 4

capital
, 22

ICT-intensive branches
, 4

Information technology (IT)
, 4

Institutionalised wage bargaining
, 8

Instituto Nacional de Estadística (INE)
, 120

Intensity
, 229–231

of poverty
, 229

Intergenerational education (al) mobility
, 117, 124

Intergenerational elasticity (IGE)
, 66, 69

decomposition analysis
, 80, 97, 101

direct and indirect influence of preceding circumstances
, 90–92

estimates
, 80–92

for family income
, 81, 88–89

for individual earnings
, 69, 81, 86–87

IOp decomposition of IGE elasticity
, 69–75

mediating circumstances
, 82–84

preceding and mediating circumstances
, 84–90

on similarities between IOp and
, 74–75

Intergenerational immobility

data
, 75–80

IGE estimates and decomposition analysis
, 80–92

IOp decomposition of IGE elasticity
, 69–75

Intergenerational income mobility

computation
, 118

literature
, 118

measurement
, 115

Intergenerational mobility
, 113

approaches
, 110

auxiliary database
, 120–121

data
, 114–118

imputation
, 121–122

intergenerational elasticity
, 137

intergenerational income transition matrix
, 122

literature review and hypothesis
, 111–114

methods
, 118

results
, 125–130

in Spain
, 122–124

summary statistics of control variables
, 118

summary statistics of education of respondents and fathers
, 118

summary statistics of household per capita adjusted income
, 116

summary statistics of occupation of respondents and fathers
, 117

transition matrix of occupation
, 123

variables
, 115–117

Intergenerational occupation mobility
, 116

Intermediate inequality comparisons
, 145–151

indices of intermediate inequality
, 148–150

ranking procedure
, 150–151

sharing inequality equivalence
, 145–148

Intermediate inequality views
, 140–141, 145, 150

International Food Policy Research Institute (IFPRI)
, 18

International Institute for Applied Systems Analysis and the Vienna Institute of Demography (IIASA/VID)
, 15

International Labour Organization (ILO)
, 2, 6

International Standard Classification of Education (ISCED)
, 15

IQ score
, 92

Labour Contract Law
, 188

Labour market institutions
, 8–9, 18

direct equalising effect of
, 9

Labour support regulations
, 8

Later week (LW)
, 257

Least Absolute Shrinkage and Selection Operator (LASSO)
, 135

Least developed countries (LDCs)
, 4

Least-squares-dummy variable approach
, 20

Life expectancy
, 245, 264

Life satisfaction in Spain

data
, 114–118

and educational mobility
, 129–130

and income mobility
, 127

literature review and hypothesis
, 111–114

methods
, 118–122

and occupational mobility
, 128–129

results
, 125–130

Linear regression for outcome
, 105–106

Logarithm of incomes

determinants of
, 191–195

dispersion of groups
, 195–197

Logarithmic GDP per capita (LGDPpc)
, 245

Logit model
, 211

Long-term earnings, mobility as equaliser of
, 168–169, 177–179

Longitudinal survey on Rural Urban Migration in China (Longitudinal Survey on RUMIC)
, 188

Lorenz criterion
, 146

Low-income countries
, 46

Lower-middle-income cluster (LLM-income cluster)
, 34, 46

Luxembourg Income Study (LIS)
, 11

Machine learning
, 110

algorithms
, 111

Market capitalisation (Mcapit)
, 17–18, 20

Mean incomes
, 140–141, 151

Mean squared errors (MSE)
, 135

Median incomes
, 151

Mediating circumstances (C2)
, 66, 82–90

accounting for
, 70–73

IGE decomposition
, 83

inclusion of
, 82

Medical risks
, 82

Microsimulation

analysis
, 188

methodology
, 221, 224–226

Migrants
, 195–197

and total urban population
, 212

Migration
, 110

Mincerian earnings functions
, 191, 197

differences between provinces in
, 197–198

heterogeneity of labour inflow and outflow provinces
, 198

Mincerian Equation
, 120

Minimum income schemes in Spain

change in general poverty measures
, 229

inequality and redistributive effects
, 227–231

inequality and redistributive power for simulated policies
, 227

microsimulation methodology
, 224–226

national arm to fight against poverty
, 222–224

poverty effects
, 229–231

results
, 226–231

Minimum Insertion Income
, 221

Minimum squared error (MSE)
, 119

Minimum vital income (MVI)
, 220–221

Minimum wages
, 8

Mobility
, 125

concepts
, 166–167

directional
, 168

as earnings risk or flux
, 169

as equaliser of long-term earnings
, 168–169

intensity
, 126

measures
, 167–169

positional
, 167

variable
, 125

Monetary policy
, 245–246

Multi-source Gini observations (MS Gini observations)
, 11

Multifaceted approach to mobility analysis
, 166

data
, 169–173

empirical analysis
, 173–180

mobility concepts and measures
, 167–169

summary of multifaceted earnings mobility rankings
, 182

National scheme
, 222, 226, 228

Net inflows
, 216

Non-agriculture hukous
, 188

Non-conventional monetary policy tools
, 244

Non-economic policies
, 245, 253

Non-governmental organisations (NGOs)
, 224

Non-labour market attributes
, 76

Non-linear decomposition
, 98

Non-segmentation factor (NSF)
, 52

Occupation
, 75

Occupational mobility
, 123

matrixes
, 116

Ordinary least squares (OLS)
, 20, 70, 119, 125, 207

Organisation for Economic Co-operation and Development (OECD)
, 2, 9, 220

Outcome variables
, 76–79

Oxford COVID-19 Government Response Tracker Stringency Index
, 245

Panel Study of Income Dynamics (PSID)
, 68, 75, 166

Parental education
, 66, 90, 92

influence of
, 92

Parental effort, circumstances as
, 99

Parental income
, 66–67, 69, 92

Parental occupation
, 66

Pay-equity law
, 56

Pearson correlation coefficients
, 171

Penn World Tables (PWT)
, 16

Personal income inequality
, 9–10

Pooled sample, summary statistics of
, 214

Positional mobility
, 166–167, 173–176 (see also Directional mobility)

transition matrix of positional mobility for United States earnings
, 173–175

transition matrix of positional mobility for West German earnings
, 174–176

Positional mobility measure (Mp)
, 167

Poverty
, 233

effects
, 229–231

minimum guaranteed income based on household characteristics
, 224

national arm to fight against
, 222–224

Preceding circumstances (C1)
, 67, 72, 79, 84–90

accounting for direct influence of
, 72–74

direct and indirect influence of
, 90–92

influence of preceding circumstances not in IGE
, 91

total influence of
, 98

Private debt (PDebt)
, 6, 20

Probit model
, 211

Public policy
, 8

Public sector legislation
, 56

Public spending policies
, 35

Purchasing power standard (PPS)
, 151

Quantile regression approach
, 98

Quantity-based measures of education
, 34

Quasi-structural model
, 70

R-square
, 92

of linear regression
, 66

Recentred influence function (RIF)
, 189, 206–208

analysing results of
, 195

decompositions
, 208–211

regressions
, 208

RIF-OLS regression
, 207

Regional heterogeneity
, 34–38

Regional Minimum Income (RMI)
, 221, 232

Regional scheme (RMI)
, 226

Regressions
, 192

equation
, 46

Relative Gini index
, 143

Relative income differentials
, 140

Relative inequality
, 140

Residents hukous
, 188

Reverse causation
, 46

Reweighting effect
, 211

Robustness checks and extensions
, 97

IGE decomposition
, 97

non-linear decomposition
, 98

robustness check for influence of C1
, 104

robustness check–outcome averages and age cut-offs
, 103

total influence of preceding circumstances
, 98

treating circumstances as ‘parental effort’
, 99

Robustness test
, 252–253

in cumulative effect
, 253

Rural migrants
, 188

Rural–urban migration
, 186

Rural–urban temporary migrants
, 190

SEDLAC
, 11

Shareholder approach
, 7

Sharing inequality equivalence
, 145–148

hypothetical example
, 147

Single-source Gini (SS Gini)
, 12, 45

Social Inequality and Social Mobility in Spain’ module
, 114

Social protection (SP)
, 20

spending
, 27

Social security transfers
, 27

Social transfers
, 76

Social welfare
, 141–143

evaluation functions
, 141

Spain

average monthly values of different incomes in
, 237

changes in extreme poverty measures in
, 240, 242

changes in general poverty measures in
, 241

changes in inequality in
, 238

changes in redistributive power in
, 239

Spanish Independent Fiscal Responsibility Authority
, 221

Spanish Public Accounts
, 222

Specification error
, 196

Standard inequality measures
, 50

State Council
, 188

State owned enterprise (SOE)
, 187

Statistics of Public Expenditure for Economic Development (SPEED)
, 18

Stolper–Samuelson theorem (SST)
, 5

Supplemental Nutrition Assistance Program (SNAP)
, 82

Technological change
, 4–5, 8, 16–17

Temporary Assistance for Needy Families (TANF)
, 77

Tertiary education
, 34

Time dependence concept
, 171

Total Economy Database (TED)
, 17

Total factor productivity (TFP)
, 16, 20

Total family income
, 76

Trace (T)
, 167

Trade openness
, 8

Trade unions
, 8

Transition matrix
, 173

Treatment variable
, 245

Two-Sample Two-Stage Least Squares (TSTSLS)
, 111, 119

Unconditional partial effect (UPE)
, 208

Unemployment
, 8

UNESCO Institute of Statistics (UIS)
, 15

Unions
, 8

United States
, 167, 169, 171, 173–174, 176–177, 179

earnings mobility in
, 166

Universal Basic Income
, 222

University of Texas Inequality Project (UTIP)
, 10

UNU-WIDER World Income Inequality Database, Version 3. 4 (WIID3. 4)
, 11, 45

Urban China
, 186

average income in
, 190

income inequality in
, 189

Urban inequality changes in China

difference in average income at decile groups
, 192

pattern of
, 190–191

Urban locals
, 195–197

Variance
, 207

Wage effects
, 7

Wealth
, 93

Welfare state redistribution
, 8–9, 18

West Germany
, 167, 169, 173–174, 177

growth rate of earnings in
, 170

inequality in
, 171

WGini
, 52

World Development Indicators (WDI)
, 17

World Income Inequality Database (WIID)
, 2

World regions
, 2, 4, 10, 14, 34

World Wealth and Income Database (WID)
, 11

Zhejiang Province
, 187