¹ Horowitz, Donald, Ethnic Groups in Conflict (Berkeley: University of California Press, 1985)Google Scholar.

⁴ Karlan, Dean, “Social Capital and Group Banking” (Manuscript, Department of Economics, Princeton University, 2002)Google Scholar.

⁵ Alesina, Alberto, Baqir, Reza, and Easterly, William, “Public Goods and Ethnic Divisions,” Quarterly Journal of Economics 114, no. 4 (1999)CrossRefGoogle Scholar.

⁶ Edward Miguel and Mary Kay Gugerty, “Ethnic Diversity, Social Sanctions, and Public Goods in Kenya” Journal of Public Economics (forthcoming).

⁷ Alesina, Baqir, and Easterly (fn. 5).

⁸ Alesina, Alberto and La Ferrara, Eliana, “Participation in Heterogeneous Communities,” Quarterly Journal of Economics 115, no. 3 (2000)CrossRefGoogle Scholar.

⁹ Jacob Vigdor, “Community Composition and Collective Action: Analyzing Initial Mail Response to the 2000 Census,” Review of Economics and Statistics (forthcoming).

¹⁰ Miguel and Gugerty (fn. 6).

¹¹ Lijphart, Arend, “Consociational Democracy,” World Politics 21 (January 1969)CrossRefGoogle Scholar.

¹² Spears, Ian, “Africa: The Limits of Power-Sharing,” Journal of Democracy 13, no. 3 (2002)CrossRefGoogle Scholar.

¹³ Fearon, James and Laitin, David, “Explaining Interethnic Cooperation,” American Political Science Review 90, no. 4 (1996)CrossRefGoogle Scholar.

¹⁴ Varshney, Ashutosh, Civic Life and Ethnic Conflict: Hindus and Muslims in India (New Haven: Yale University Press, 2002)Google Scholar.

¹⁵ Putnam, Robert, Making Democracy Work (Princeton: Princeton University Press, 1993)Google Scholar.

¹⁶ Refer to Prewitt, Kenneth G., Von der Muhll, George, and Court, David, “School Experiences and Political Socialization: A Study of Tanzanian Secondary School Students,” Comparative Political Studies 3, no. 2 (1970)CrossRefGoogle Scholar.

¹⁷ Court, David and Kinyanjui, Kabiru, “Development Policy and Educational Opportunity: The Experience of Kenya and Tanzania,” IDS Occasional Paper, no. 33 (Nairobi: University of Nairobi, 1980)Google Scholar.

¹⁸ Barkan, Joel D., “Divergence and Convergence in Kenya and Tanzania: Pressures for Reform,” in Barkan, Joel D., ed., Beyond Capitalism versus Socialism in Kenya and Tanzania (Boulder, Colo.: Lynne Rienner, 1994)Google Scholar.

¹⁹ The ideal research design should not choose districts literally straddling a common border, since border areas might be influenced by the neighboring country, and the existence of these “spillovers” would complicate the interpretation of differences across the districts.

²⁰ Average annual rainfall in Meatu and Busia is approximately 700 millimeters and 1500 millimeters, respectively.

²¹ Schoenbraun, David Lee, A Green Place, a Good Place: Agrarian Change, Gender, and Social Identity in the Great Lakes Region to the Fifteenth Century (Portsmouth, N.H.: Heinemann Press, 1998)Google Scholar.

²² McEwan, A. C., International Boundaries of East Africa (Oxford: At the Clarendon Press, 1971)Google Scholar.

²³ Government of Kenya, Kenya Population Census, 1989 (Nairobi: Central Bureau of Statistics, 1994)Google Scholar; Government of Tanzania, Shinyanga Region Socio-economic Profile (Dar es Salaam, 1999)Google Scholar.

²⁴ See Kidamala, Daudi and Danielson, E. R., “A Brief History of the Waniramba People up to the Time of the German Occupation,” Tanganyika Notes and Records 56 (1961)Google Scholar; Puritt, Paul, “Tribal Relations,” in Diarra, Fatoumata Agnes and Ghai, Yash P., eds., Two Studies on Ethnic Group Relations in Africa: Senegal and the United Republic of Tanzania (Paris: UNESCO, 1974)Google Scholar; and Government of Kenya, Kenya Socio-Cultural Profiles: Busia District, ed. Were, Gideon (Nairobi: Ministry of Planning and National Development, 1986)Google Scholar.

²⁵ Abdulaziz, M. H., “Tanzania's National Language Policy and the Rise of Swahili Political Culture,” in Whiteley, W., ed., Language Use and Social Change (London: Oxford University Press, 1971), 171–72Google Scholar.

²⁶ Gorman, T P., “The Development of Language Policy in Kenya with Particular Reference to the Educational System,” in Whiteley, W. H., ed., Language in Kenya (Nairobi: Oxford, 1974)Google Scholar.

²⁷ Therkildsen, Ole, “Contextual Issues in Decentralization of Primary Education in Tanzania,” International Journal of Educational Development 20 (September 2000)CrossRefGoogle Scholar.

²⁸ Koff, David and Von der Muhll, George, “Political Socialization in Kenya and Tanzania: A Comparative Analysis,” Journal of Modern African Studies 5, no. 1 (1967), 50 CrossRefGoogle Scholar.

²⁹ A limitation is that the dataset does not contain preindependence information, and since nation-building policies had begun to diverge by 1967 (the year of the Arusha Declaration), it cannot serve as a baseline.

³⁰ For a discussion of preindependence differences, see Court and Kinyanjui (fn. 17).

³¹ Barkan (fn. 18).

³² For instance, Miles, William F. S., Hausaland Divided: Colonialism and Independence in Nigeria and Niger (Ithaca, N.Y.: Cornell University Press, 1994)Google Scholar; and Posner, Daniel, “The Political Salience of Cultural Difference: Why Chewas and Tumbukas Are Allies in Zambia and Adversaries in Malawi” (Manuscript, Department of Political Science, UCLA, 2002)Google Scholar.

³³ Barkan (fn. 18).

³⁴ Polome, Edgar C., “Tanzania: A Socio-Linguistic Perspective,” in Polome, Edgar C. and Hill, C. P., eds., Language in Tanzania (Oxford: Oxford University Press, 1980)Google Scholar. David Laitin discusses language policy and nation building in Africa, and the existence of lingua francas that, like Swahili in East Africa, could be employed to strengthen national identities; see Laitin, , Language Repertoires and State Construction in Africa (Cambridge: Cambridge University Press, 1992)CrossRefGoogle Scholar.

³³ Court, David, “The Education System as a Response to Inequality,” in Barkan, Joel D., ed., Politics and Public Policy in Kenya and Tanzania (New York: Praeger, 1984)Google Scholar. Mark Gradstein and Moshe Justman present a formal political economy model in which political socialization through public education may promote social cohesion and economic growth: see Gradstein, and , Justman, “Education, Social Cohesion, and Economic Growth,” American Economic Review 92, no. 4 (2002)CrossRefGoogle Scholar.

³⁶ Court and Kinyanjui (fh. 17), 67.

³⁷ White, John, “The Historical Background to National Education in Tanzania,” in Polome, Edgar C. and Hill, C. P., eds., Language in Tanzania (Oxford: Oxford University Press, 1980)Google Scholar.

³⁸ Prewitt,Von der Muhll, and Court (fn. 16), 222.

³⁹ Koff and Von der Muhll (fn. 28).

⁴⁰ Court, David and Ghai, Dharam, eds., Education, Society, and Development: New Perspectives from Kenya (Nairobi: University of Nairobi Institute of Development Studies and Oxford University Press, 1974), 7.Google Scholar

⁴¹ Ibid., 19.

⁴² Court and Kinyanjui (fn. 17), 69.

⁴³ Quantitative evidence from current schoolbooks also suggests that the Kenyan curriculum is considerably less Pan-Afncanist in orientation than the Tanzanian curriculum. As a rough measure of curricular emphasis, we counted the number of times the word “Africa” (or “African”) appears in nine current Kenyan and Tanzanian GHC textbooks for grades 3—6 and found more than twice as many instances in the Tanzanian textbooks (66.5 times per book) as in the Kenyan books (28.6).

⁴⁴ Abdulaziz, M. H., “The Ecology of Tanzanian National Language Policy,” in Polome, Edgar C. and Hill, C. P., eds., Language in Tanzania (Oxford: Oxford University Press, 1980)Google Scholar.

⁴⁵ Ndegwa, Stephen, “Citizenship and Ethnicity: An Examination of Two Transition Moments in Kenyan Politics,” American Political Science Review 91, no. 3 (1997)CrossRefGoogle Scholar.

⁴⁶ Court and Kinyanjui (fn. 17).

⁴⁷ Barkan, Joel D. and Chege, Michael, “Decentralising the State: District Focus and the Politics of Reallocation in Kenya,” Journal of 'Modern African Studies 27, no. 3 (1989)CrossRefGoogle Scholar.

⁴⁸ Onyango, Dennis, “How Shall We Detribalise Presidency,” Daily Nation (Nairobi), October 21, 2002 Google Scholar.

⁴⁹ Afro-Barometer Network, Afro-Barometer Round I: Compendium of Comparative Data from a Twelve-Nation Survey, Afro-Barometer Paper, no. 11 (2002)Google Scholar.

⁵⁰ The other countries are Botswana, Ghana, South Africa, Uganda, and Zambia.

⁵¹ Chaligha, A., Mattes, R., Bratton, M., and Davids, Y. D., Uncritical Citizens or Patient Trustees? Tanzanians' Views of Political and Economic Reform, Afro-Barometer Paper, no. 18 (2002)Google Scholar.

⁵² Ibid., 11.

⁵³ In 1996 the original Busia district was split in two: Teso district is the northern part of the original district, and Busia district the southern part; for simplicity, the combined area is referred to as “Busia.”

⁵⁴ School questionnaires—filled out by schoolmasters with the assistance of a trained enumerator— contain detailed information on school finances, infrastructure, inputs, and pupil enrollment.

⁵⁵ Government of Kenya (fn. 24).

⁵⁶ Ethnic diversity (ELF) in the villages with missing data is nearly identical on average to diversity in villages that are included in the sample, and the small difference in ELF (0.16 to 0.13) is not statistically significantly different than zero at traditional confidence levels. Hence, even if the five villages with some missing data happened to be poor performers in terms of local collective action, the inclusion of these villages would be unlikely to substantially change the main empirical results.

⁵⁷ Government of Kenya (fn. 24).

⁵⁸ Were, Gideon, A History of the Abaluyia of Western Kenya (Nairobi: East African Publishing, 1967)Google Scholar.

⁵⁹ Morgan, W. T. W, and Shaffer, N. M., Population of Kenya, Density and Distribution: A Geographical Introduction to the Kenya Population Census, 1962 (Nairobi: Oxford University Press, 1966)Google Scholar.

⁶⁰ Government of Kenya (fn. 24).

⁶¹ Government of Kenya, Kenya Population Census, 1962 (Nairobi: Central Bureau of Statistics, 1965)Google Scholar.

⁶² Miguel and Gugerty (fn. 6).

⁶³ Mwapachu, Juma Volter, “Operation Planned Villages in Rural Tanzania: A Revolutionary Strategy for Development,” Mbioni 7, no. 11 (1975)Google Scholar.

⁶⁴ It is natural to focus on male residential stability. Since marital exogamy is practiced in this region, most women move to their husband's home upon marriage.

⁶⁵ Mwapachu(fn. 63).

⁶⁶ McHenry, Dean E. Jr., Tanzania's Ujamaa Villages (Berkeley: Institute of International Studies, University of California, Berkeley, 1979)Google Scholar.

⁶⁷ Barkan (fn. 18).

⁶⁸ An alternative explanation for the existence of a stronger national identity in Tanzania could be the successful 1979 war repelling a Ugandan invasion. Although victorious wars have long been credited with promoting national unity, this hypothesis appears unlikely here for at least two reasons: first, the Uganda war lasted only three months, and second, the war led to an exhausting six-year occupation of Uganda that nearly bankrupted the country and contributed to the financial crisis of 1982; see Gordon, D. F., “International Economic Relations, Regional Cooperation, and Foreign Policy,” in Barkan, Joel D., ed., Beyond Capitalism versus Socialism in Kenya and Tanzania (Boulder, Colo.: Lynne Rienner, 1994)Google Scholar.

⁶⁹ Only six of eighty-four sample schools report having received over U.S.$100 in outside funding in the 1996 survey, and U.S.S100 is a low level for schools with three hundred to four hundred students on average. Similarly, a minority of projects in the Tanzanian district received any external central government or NGO assistance, and in many cases the amounts received were modest.

⁷⁰ Unfortunately, there are no data on income (or consumption expenditures) for the Kenyan villages, so income cannot be included as a control variable in the main regressions.

⁷¹ Conley, Timothy, “GMM Estimation with Cross Sectional Dependence,” Journal of Econometrics 92, no. 1 (1999)CrossRefGoogle Scholar.

⁷² Wooldridge, Jeffrey M., Econometric Analysis of Cross-Section and Panel Data (Cambridge: MIT Press, 2002)Google Scholar.

⁷³ These differences are somewhat misleading: the Kenyan data are for pupils' fathers, while, even though two-thirds of Tanzanian respondents were male and young adults—and thus comparable to the Kenyan respondents—some Tanzanian respondents were women or elderly. Women and the elderly have less education and formal employment than young men on average, and thus actual socioeconomic gaps between the two districts are likely to be somewhat smaller than those reported in Table 1.

⁷⁴ Religious diversity is not included as an explanatory variable in the analysis since local religious affiliation is not plausibly exogenous due to extensive missionary activity in both districts. Correlations between religious fragmentation and local outcomes would be misleading if evangelical activity is most successful in the poorest areas or in areas with low levels of social capital. The numerical strength of “traditional” religions in Meatu—over 60 percent of the sample—also complicates the interpretation of the religious fragmentation index, since it is difficult to disentangle different traditional belief systems from ethnicity. Finally, since the most politically salient religious cleavage in East Africa is that between Christians and Muslims, the absence of large Muslim populations in these districts blunts the most likely source of religious divisions.

⁷⁵ Miguel and Gugerty (fn. 6).

⁷⁶ Ethnic diversity is unlikely to be proxying for higher local income inequality in Tanzanian villages, since the correlation between diversity and inequality is small, negative, and not statistically significant (regression not shown).

⁷⁷ We attempted to examine analogous issues in the Kenyan district, but data on registered community group membership were only available for part of the study area. Restricting attention to registered community groups is also not ideal, since many groups are not registered in Kenya. The relationship between local diversity and registered group membership in this limited sample is typically negative (not shown), but due to the data limitations mentioned above, we do not highlight the Kenyan results.

⁷⁸ Alesina and La Ferrara (fn. 8).

⁷⁹ The correlation between social capital and ethnic diversity is similar in a nationally representative sample of eighty-seven rural Tanzanian clusters, using data from the World Bank's 1995 Social Capital and Poverty Survey (SCPS) and 1993 Human Resource Development Survey (HRDS) (not shown).

⁸⁰ Miguel and Gugerty (fn. 6).

⁸¹ United Nations Development Program, 2002 Human Development Report: Deepening Democracy in a Fragmented World (New York: Oxford University Press, 2002)Google Scholar.