pre-colonial ethnic institutions and contemporary african development

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    PRE-COLONIAL ETHNICINSTITUTIONS ANDCONTEMPORARY

    AFRICANDEVELOPMENT

    STELIOS MICHALOPOULOS AND ELIAS PAPAIOANNOUEconometrica, Vol. 81, No. 1, January 2013, 113 – 152

    LluisAragonésFerri

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    Contents

    1. Literature Review2. Data3. Ethnic Homeland

    Analysis4. Pixel-Level Analysis5. Conclusion

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    1. Literature Review

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    Ethnic Institutions: Past & Present

    ▪ Herbst (2000), Europeans hadlimited impact on local political

    structures because colonizationlimited in timing & location.

    ▪ Mamdani (1996), colonizers inseveral occasions strengthenedtribal chiefs via indirect rule.

    ▪ Englebert (2009), eve of Africanindependence, failure of somecountries limiting the role ofethnic institutions, as lack ofnational government to provide

    public goods.

    Literature Review

    Institutional origins of Africanunderdevelopment

    ▪ Acemoglu, Johnson, and

    Robinson (2001, 2002) and LaPorta, de Silanes, Shleifer, andVishny (1997, 1998): empiricalimpact of colonization incomparative development effect oncontractual institutions and

    property rights protection in Africa.

    ▪ Herbst (2000): role of deeplyrooted, ethnic institutionalcharacteristics.

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    Channels through which ethnicinstitutions shape contemporaryeconomic activity.

    Diamond (1997) and Acemogluand Robinson (2012), study howethnic groups forming largestates organized bureaucracies.

    ▪ Acemoglu and Robinson (2012),

    Tribal societies with strongpolitical institutions moresuccessful obtaining concessionsfrom colonial powers & nationalgovernments afterindependence.

    Literature Review

    Importance of ethnic institutions

    Baldwin (2010), ethnic localchiefs’ community support andpopularity.

    Glennerster, Miguel, andRothenberg (2010), Acemoglu,Reed, and Robinson (2012), Inmany countries, Local leaders

    collect taxes & provide basicpublic goods.

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    2. Data

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    Data on the locationof historical ethnichomelands

    ▪ George Peter Murdock’s (1959)ethnolinguistic map (Spatial distributionof ethnicities across Africa at beginningof European colonization mid/late 19thcentury).

    ▫ 843 tribal areas (levels 7-8 ofEthnologue’s (2005) language familytree).▫ Nun & Wantcheckon (2011) usingindividual data Afrobarometer, showed

    0.55 correlation between location of therespondents (2005) & historical homelandof their ethnicity.

    ▪ This study intersect Murdock’sethnolinguistic map with 2000 DigitalChart of the World for contemporary

    national boundaries.

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    Ethnic InstitutionalTraits

    ▪ Murdock (1967) produced anEthnographic Atlas, coding aprx. 60variables (cultural, geographical &economic characteristics) of 1270ethnicities in the world.▪ Clustering into 96 ethnolinguisticfamilies.

    ▪ Murdock’s (1967)   ”JurisdictionalHierarchy index”:

    ▫0: stateless societies▫ 1: Petty chiefdoms▫ 2: Paramount chiefdoms.▫ 3 & 4: Pre-colonial states.

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    Satellite LightDensity at Night

    ▪ Use satellite light density at night (proxy oflocal economic activity), from the DefenseMeteorological Satellite Program’s OperationalLinescan System. Capturing lights from humansettlements, fires, gas flares, lighting & aurora.▪Construct average light density per   for2007 & 2008.

    ▫ Henderson, Storeygard, and Weil (2012) andprevious works (e.g., Elvidge, Baugh, Kihn,Kroehl, and Davis (1997), Doll, Muller, andMorley (2006)). The use of luminosity data is as a

    proxy for development, showing that light densityat night is a robust proxy of economic activity.▫ Even Chen and Nordhaus (2011), shortcomings(saturation and blooming), not big problem inAfrica.

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    Cross-validation: SatelliteLight Density at Night /Development

    ▪ 1st) Explore within country variation.

    ▪ 2nd) Examined relationship between log lightdensity & economic performance using micro-level data from Demographic and HealthSurveys (DHS)(Composite wealth index).

    ▪ 3rd) Derive average wealth index acrosshouseholds and associate it with light density ofeach DHS area, radius (10km). Correlation 0.7.

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    3. Ethnic HomelandAnalysis

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    Empirical framework

    ▪ Relationship between pre-colonial ethnic institutions and developmentacross ethnic homelands. Variants of this form:

    ▪,  =  +  +  + , + , + , Where:

    ▫,: Level of economic activity in homeland of ethnic group I, country c (proxiedby light density at night).

    ▸Shortcomings: as distribution of luminosity across ethnic homelands not

    normal.▸,  ≡ ln(0.01 + ℎ , ) For use of all observations.

    ▸,  ≡ ln(ℎ ,) Ignoring unlit areas.

    ▫: Country fixed effects.▫: Local ethnic institutions (degree of jurisdictional hierarchy).

    ▫, = ln( ), likely endogenous to ethnic institutional

    development. (

    , ,

    ) ≠ 0

    ▫ ,: Set of conditioning variables at ethnic-country level. Geography and otherfactors. As land endowments (elevation and area under water), ecologicalfeatures (malaria stability index, land suitability for agriculture), naturalresources (diamond mines & petroleum fields) and location ethnic area within acountry (distance of centroid of each ethnicity I in country c from capital,national border and nearest sea coast, measuring impact of colonization).

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    Annex A.1

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    Table II (Preliminary Evidence)

    ,  ≡ ln(0.01 + ℎ , )

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    Table III (Benchmark Fixed Effects)

     ,≡ ( ,).

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    Table IVA ) , ≡ ln 0.01 + ℎ ,

     ) , ≡  +  + , + , + ,

    ) , ≡  +  +  + ,+ ,

    + ,

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    4. Pixel-Level Analysis

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    Advantages PixelLevel

    ▪ The unit of analysis: pixel of 12.5km x 12.5km. Exclude pixels with 0population through Probit Linear model. Advantages pixel level:

    ▫ 1. Can condition on geography, natural resources & the disease environmentat a finer level.▫ 2. Dependent variable=indicator for lit pixels (not concern on nonlinear nature

    of luminosity).

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    Empirical framework

    ▪ ,, =  +  +  + ,, + ,, + , + ,,

    ▪ Same specifications, but reduction in some controls to a pixel level.

    ▪ ,, : Other controls at pixel level, p.

    T bl V

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    Table V,, =  +  +  + ,, + ,,

    + , + ,,

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    Contiguous EthnicHomeland Analysis

    ▪ One may still be worried that unobservable local geographic feature isdriving the results:

    ▫ Solution: focus on contiguous ethnicities with a different degree of pre-colonial political centralization in same country.

    ▪ Specification:

    ▪ ,(), = , +  + ,, + ,, + ,(), Not X

    Table VI Validation

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    Table VI. Validation

    ,, = , +  + ,(),

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    Further Evidence

    ▪ To further assuage concerns that some local unobserved geographicfeature is driving the results ⇒ analysis to pixels close to ethnic boundary.(Similar to regression discontinuity).

    ▪ Procedure: Estimation in areas close to ethnic boundaries, excludingpixels that fall within 25km or 50km from each side of border. Within

    adjacent ethnic homelands with different pre-colonial political institutionsin same country.

    Table VIII Panel A

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    Table VIII  – Panel A

    ,(), =  + ,(),

    Table VIII Panel B

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    Table VIII  – Panel B

    ,(),  =     ,  +   + ,,  +  + ,, + ,(),

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    ▪ Figure 5(B), excluding 25km ateach side of the ethnic border,differences in pixel-level lightdensity become significant.

    DiscontinuityAnalysisVisualization

    ▪ Figure 5(A), including boundarypixels, differences are insignificantexactly at the ethnic border.

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    Conclusion

    ▪ Combination of data on spatial distribution and local institutions ofAfrican ethnicities (colonization time), with satellite images of light densityat night, to asses development.▪ Development higher in homelands of ethnicities with centralized,hierarchical, pre-colonial political institutions. (Not necessarily causation).▪ No effect of observable differences in geographic, ecological, natural

    resource endowments, culture, occupational specialization or structure ofeconomic activity before colonization.▪ Positive link between pre-colonial ethnic political institutions andluminosity within pairs of ethnic homelands in same country.

    ▫ Future Research1. Move beyond country-level and ethnicities features.

    2. Which ethnic institutional & cultural traits shape economic performance.3. Theory and empirics on how local ethnic institutions and cultural norms

    emerge.4. Interplay between ethnic traits and national policies.

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    Thank you for your

    attention!!Any questions?You can find me at [email protected]

    Annex Table I

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    Annex Table I

    Table III

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    Table III

    Table VII

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    Table VII