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The Long-Term Effects of Africa's Slave Trades - Social Sciences ...

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causing current underdevelopment. I first reviewed the historical evidence<br />

on the characteristics <strong>of</strong> African societies that were most affected by the slave<br />

trades. <strong>The</strong> qualitative and quantitative evidence show that it was actually<br />

the most developed parts <strong>of</strong> Africa, not the least developed, that tended to<br />

select into the slave trades. I also used instrumental variables to estimate<br />

the causal effect <strong>of</strong> the slave trades on subsequent economic development.<br />

<strong>The</strong> main instruments I used were the sailing and overland distances from<br />

each country to the closest locations <strong>of</strong> demand in each <strong>of</strong> the four slave<br />

trades. Like the OLS estimates, the IV estimates are negative, suggesting<br />

that increased extraction during the slave trades caused worse subsequent<br />

economic performance. As a final strategy, I controlled for observable country<br />

characteristics. <strong>The</strong>se results also confirm that the slave trades had a<br />

causal impact on subsequent economic development.<br />

I then examined the precise channel <strong>of</strong> causality underlying the relationship<br />

between slave exports and subsequent economic development. Using<br />

historical evidence as a guide, I then examined whether slave exports resulted<br />

in a fragmentation and weakening <strong>of</strong> states, ethnic fractionalization,<br />

and a deterioration in the quality <strong>of</strong> judicial institutions. I found support<br />

for the view that the slave trades resulted in weak, politically fragmented<br />

states, ethnic fractionalization, and poor judicial institutions.<br />

A Deriving the Bias from the Under-Sampling <strong>of</strong><br />

<strong>Slave</strong>s from the Interior<br />

I show here that the non-classical measurement error present in the slave<br />

export data will result in OLS estimates <strong>of</strong> the effect <strong>of</strong> slave exports on<br />

income that are biased towards zero.<br />

To see this, denote the true number <strong>of</strong> slaves taken from country i by<br />

s ∗ i , the observed number <strong>of</strong> slaves by s i, distance to the coast by d i , and<br />

economic development by y i . All variables are expressed as deviations from<br />

means. Assume the true relationship between the number <strong>of</strong> slaves exported<br />

and distance to the coast is given by<br />

s ∗ i = −αd i + ε i (2)<br />

where α > 0 and ε i is i.i.d. drawn from a normal distribution. <strong>The</strong> relationship<br />

between the observed number <strong>of</strong> slaves exported s i and the distance to<br />

the coast d i is given by<br />

s i = s ∗ i − γd i + ν i (3)<br />

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