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Income Inequality: Long Run Trends Overseas Departments of France - - PowerPoint PPT Presentation

Income Inequality: Long Run Trends Overseas Departments of France & Mauritius Yajna Govind December 15, 2017 Paris School of Economics (PSE) Institut National dEtudes D emographiques (INED) Overseas Departments of France Motivation


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Income Inequality: Long Run Trends Overseas Departments of France & Mauritius

Yajna Govind December 15, 2017

Paris School of Economics (PSE) Institut National d’Etudes D´ emographiques (INED)

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Overseas Departments of France

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Motivation

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Motivation

Intriguing cases: Developing context within a highly developed nation

  • Colonial history (Since 17th century) → Departmentalisation (1946)
  • Ethnic Mix: White metropolitans, African ex-slaves, Indian

labourers, Autochtones

  • Economic and Social Division
  • High relevance for France: historically, economically & politically
  • DOM- Most unequal departments of France (INSEE)

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Motivation

Intriguing cases: Developing context within a highly developed nation

  • Colonial history (Since 17th century) → Departmentalisation (1946)
  • Ethnic Mix: White metropolitans, African ex-slaves, Indian

labourers, Autochtones

  • Economic and Social Division
  • High relevance for France: historically, economically & politically
  • DOM- Most unequal departments of France (INSEE)

“ ...In 1945, all the inhabitants of the former empire wanted to become citizens and stop being subjects...[Departmentalisation] meant the end of arbitrary rule, access to European salaries and social security... By departmentalisation, what was sought, naively probably, but sincerely, was equality of rights. But France remained reluctant to enforce what it had voted for. I then realized that we had made a fool’s deal, and that departmentalisation was nothing but a new form of domination. “

—Aim´ e C´ esaire (1981)

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Contribution & Results

Contribution → Collecting & building a database for DOM → Long run trend of income inequality → Comparative study: Martinique, Guadeloupe & La R´ eunion since the mid-1980s

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Contribution & Results

Contribution → Collecting & building a database for DOM → Long run trend of income inequality → Comparative study: Martinique, Guadeloupe & La R´ eunion since the mid-1980s Results

  • Significant gap between the average income in Metropolitan France

and the DOM and reduction over the period but still significant today

  • Top Income Shares: Much higher top 10% shares but no significant

difference in top 1% between France and DOM

  • Lower bottom 50% shares

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Context

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Historical Context

Post-departmentalisation:

  • Phases of Socio-economic development:
  • 1. 1950s - 1960s: Addressing urgent sanitary and social situations
  • 2. 1960s - 1980s: More focus on DOM-specificities & increased

creation of public jobs

  • 3. 1980s-2000: Increased effort to bring equality
  • Decentralisation of power: Regional Council in each DOM
  • Wider coverage of social benefits
  • Alignment of benefits to Metropolitan France: RMI, SMIC
  • Public Wage Premium: sur-r´

emun´ erations: premium of 53.6% in La R´ eunion & 40% in Guadeloupe, Martinique and Guyane

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Population

Guadeloupe Guyane Martinique R´ eunion

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Current Situation

  • High Unemployment Rate

Unemp Rate

Metropolitan France DOM Unemployment Rate 10% 20 - 30% Youth Unemployment Rate (15-24 years) 25% Above 50%

  • Lower HDI than Metropolitan France

HDI

DOM (2010) HDI Level La R´ eunion Same as France 1990 Guadeloupe & Martinique Below France 2000 Guyane Below France 1990

  • High Poverty Rates

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Current Situation

Poverty Rate

Poverty Rate (Based on Local Poverty Threshold for DOM) Poverty Rate (2006)

Source: INSEE 6

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Current Situation

Poverty Rate

Using National Poverty Threshold: Extreme Poverty level

All dept

Poverty Rate (2006)

Source: INSEE, Senat (INSEE, ISEE, ISPF, AFD) 6

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Data & Methodology

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Data

Population Data RP1954 - RP2014 Income Data Year Source 1970 - 1994 INSEE (1997) 1990 - 2014 INSEE Online Database Taxation Data Year Source 1986 - 1998 Etats 1921 (Centre des Archives Economiques et Financi` eres) 2000 - 2014 Direction G´ en´ eral des Finances Publiques (DGFiP)

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Methodology

  • Generalised Pareto Interpolation Technique- Blanchet et al.,

(2017) as used in Garbinti et al., (2017)

  • Control Total for Population and Income

The total population and income if all tax units declared their income i) Control Total for Population Control Population = Adult Population - Number of married couples ii) Control Total for Income Taxable Income = GDP - Non-household Income - Non-taxable items

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Methodology

Control Total for Income

Taxable Income → Fiscal Income: See Garbinti et al., (2017) i) 10% Lump-sum on professional expenses of wage earners ii) Additional 20% deduction on wage income (repealed in 2006) iii) Capital Gains

Source: Own estimations based on DGFiP data

Hence, unit of analysis is Fiscal Income & Tax Units

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Results

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Results

Average Fiscal Income

Average Fiscal Income

Source: Own estimations based on National Income data (INSEE) and Garbinti et al (2017) for France 10

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Results

P90-100 Threshold

P90-100 Income Threshold

Source: Own estimations based on DGFiP data and Garbinti et al (2017) for France 11

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Results

P99-100 Threshold

P99-100 Income Threshold

Source: Own estimations based on DGFiP data and Garbinti et al (2017) for France 12

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Main Results

Top Income Shares

Top 10% Share

Source: Own estimations based on DGFiP data and Garbinti et al (2017) for France 13

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Main Results

Top Income Shares

Top 1% Share

Source: Own estimations based on DGFiP data and Garbinti et al (2017) for France 14

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Main Results

Bottom Income Shares

Bottom 50% Share

Source: Own estimations based on DGFiP data and Garbinti et al (2017) for France 15

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t

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Plausible Explanation

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Interpretations

High Top Income shares in DOM

Bottom of the distribution

  • High unemployment rate: 20 - 30%
  • Lower minimum wage than Metropolitan France prior to 1996

Upper end of the distribution

  • Civil servants wages + Premium
  • Private sector high-income earners

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Conclusion

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Appendix

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Poverty Rates

Poverty Rate (2006)

Source: INSEE

Back

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Current Situation

Unemployment Rate Unemployment Rate (2012) Youth Unemployment Rate (2012)

Back

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Current Situation

Human Development Index Human Development Index Source: AFD (2012) HDI Progress 1990-2010 Source: Own estimation based on AFD (2012)

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