Abstract
This paper investigates the relationship between income and democracy using common correlated effects (CCE) extended estimators which take into account the fact that democracy variables are highly correlated across countries and the possibility of heterogeneous effects of income on democracy in different countries. Using a wider database than ever, covering annual data from 1804 to 2010 for almost all countries, we show that overall, the effect of income on democracy is significantly negative when the time-series features of the data are taken into account, a result that comes from the low-income countries. This calls back into question the controversy about the empirical effect of income on democracy.
Acknowledgements
I gratefully acknowledge financial support from FCT and FEDER/COMPETE, through grant UID/ECO/04007/2013 (POCI-01-0145-FEDER-007659). Excellent research assistance from Marcelo Santos is greatly acknowledged. I also thank Joaquim Ramalho for early discussions on the relationship between income and democracy and about the adequate econometric methods to analyze it and participants on the CEFAGE Seminar. The usual disclaimer applies.
A Appendix
A.1 Cross-sectional dependence and stationarity tests
Cross-section dependence of democracy by legal origin.
Variable | CD test | p-Value | Countries |
---|---|---|---|
Polity (non-British) | 87.61 | 0.000 | 33 |
Polity (non-French) | 43.79 | 0.000 | 10 |
Polity (non-Scandinavian) | 91.37 | 0.000 | 34 |
Polity (non-Socialist) | 111.25 | 0.000 | 36 |
The number of countries included in the test is substantially reduced such that the imbalance of the panel is reduced until the Pesaran (2004) cross-sectional test performs well. Average number of observations are 188, 229, 189 and 190 respectively.
Unit-root tests.
Variable: polity | Without trend | With trend |
---|---|---|
lag 0 | −2.653 (0.004) | −0.192 (0.424) |
lag 1 | −3.285 (0.001) | −1.353 (0.088) |
lag 2 | −1.159 (0.057) | 0.478 (0.684) |
lag 3 | −1.334 (0.091) | 1.025 (0.847) |
lag 4 | 1.079 (0.860) | 3.010 (0.999) |
Pesaran (2007) unit-root test. p-Value in parentheses. Avr. Average number of time-series observations is 133. Number of countries is 184.
Unit-root tests.
Variable: GDP per capita | Without trend | With trend |
---|---|---|
lag 0 | 9.365 (1.000) | 3.349 (1.000) |
lag 1 | 7.407 (1.000) | 2.959 (0.998) |
lag 2 | 9.952 (1.000) | 4.929 (1.000) |
lag 3 | 9.982 (1.000) | 4.048 (1.000) |
lag 4 | 12.161 (1.000) | 5.324 (1.000) |
GDP per capita is in natural logarithms. Pesaran (2007) unit-root test. p-Value in parentheses. Avr. Average number of time-series observations is 100. Number of countries is 155.
A.2 Alternative specifications
Democracy and income: four (4) lags of cross-section averages.
(1) | (2) | (3) | (4) | |
---|---|---|---|---|
Dependent variable | ΔPolity index | ΔPolity index | ΔPolyarchy democracy index | ΔPolyarchy democracy index |
GDP per capitat−1 | 0.007** | −0.038*** | 0.569*** | −1.181*** |
(0.048) | (0.001) | (0.000) | (0.007) | |
ΔGDP per capitat | −0.029 | −0.047** | 0.046 | −0.387 |
(0.125) | (0.017) | (0.939) | (0.455) | |
EC coefficient | ||||
Dt−1 | −0.133*** | −0.220*** | −0.224*** | −0.292*** |
(0.000) | (0.000) | (0.000) | (0.000) | |
Trend | ||||
t | – | 0.001*** | – | 0.039*** |
(0.000) | (0.000) | |||
N Observ. | 9636 | 9381 | 8110 | 8110 |
Avr. N Obs. | 64 | 70 | 62 | 62 |
Min–max | 15–206 | 16–206 | 16–186 | 16–186 |
Number countries | 150 | 133 | 131 | 131 |
Wald | 232.87*** | 260.46*** | 237.12*** | 219.24*** |
CD-test (res) | −0.53 (0.594) | −0.74 (0.460) | −3.51*** (0.000) | −3.66*** (0.000) |
Stat-test (res) | rejects I(1) | rejects I(1) | rejects I(1) | rejects I(1) |
Sig. signs/countries for GDP per capita (long-run) | ↗(20)↘(8) | ↗(10)↘(30) | ↗(37)↘(9) | ↗(16)↘(29) |
Sig. signs/countries for GDP per capita (short-run) | ↗(7)↘(13) | ↗(3)↘(12) | ↗(6)↘(14) | ↗(6)↘(16) |
Dependent variable is a democracy index defined in the first row of the Table. GDP per capita is in natural logarithms. Values in parentheses below coefficients are p-values from robust (clustered) standard errors. Regressions include three lags of lagged differences of cross-section averages. Level of significance: ***for p-value < 0.01; **for p-value < 0.05; *for p-value < 0.1. Wald test is a joint significance test for the regressors. CD-test is a Pesaran (2004) cross-section dependence test on the null of cross-section independence done on the residuals from the regression (p-value presented in parentheses), on a restricted sample with increased balance. Stat-test is the Pesaran (2007) unit root test made on the residuals. This test used four lags and rejects I(1) means that in all lags the test of unit root rejects with and without trend. The list of countries that enter in regressions is available upon request.
Democracy and income: fixed effects estimation.
(1) | (2) | (3) | (4) | |
---|---|---|---|---|
Dependent variable | ΔPolity index | ΔPolity index | ΔPolyarchy democracy index | ΔPolyarchy democracy index |
GDP per capitat−1 | 0.013*** | 0.000 | 0.934*** | 0.310** |
(0.000) | (0.991) | (0.000) | (0.025) | |
ΔGDP per capitat | −0.054*** | −0.032* | −1.724*** | −1.032* |
(0.002) | (0.074) | (0.003) | (0.071) | |
EC coefficient | ||||
Dt−1 | −0.065*** | −0.081*** | −0.079*** | −0.102*** |
(0.000) | (0.000) | (0.000) | (0.000) | |
Time dummies | – | Yes | – | Yes |
N Observ. | 10416 | 10416 | 8771 | 8771 |
Avr. N Obs. | 66.8 | 66.8 | 57 | 57 |
Min–max | 4–210 | 4–210 | 4–190 | 4–190 |
Number countries | 156 | 156 | 154 | 154 |
R2 | 0.0165 | 0.0280 | 0.0184 | 0.0242 |
Dependent variable is a democracy index defined in the first row of the Table. GDP per capita is in natural logarithms. Values in parentheses below coefficients are p-values from robust (clustered) standard errors. Level of significance: ***for p-value < 0.01; **for p-value < 0.05; *for p-value < 0.1. The list of countries that enter in regressions is available upon request.
Democracy and income: after 1960.
(1) | (2) | (3) | (4) | |
---|---|---|---|---|
Dependent variable | ΔPolity index | ΔPolity index | ΔPolyarchy democracy index | ΔPolyarchy democracy index |
GDP per capitat−1 | 0.007 | −0.048*** | 0.545 | −2.236*** |
(0.166) | (0.005) | (0.102) | (0.005) | |
ΔGDP per capitat | −0.024 | −0.045** | −1.076 | −1.637* |
(0.194) | (0.036) | (0.313) | (0.054) | |
EC coefficient | ||||
Dt−1 | −0.139*** | −0.250*** | −0.268*** | −0.411*** |
(0.000) | (0.000) | (0.000) | (0.000) | |
Trend | ||||
t | – | 0.002*** | – | 0.062*** |
(0.000) | (0.000) | |||
N Observ. | 6179 | 6179 | 4618 | 4618 |
Avr. N Obs. | 40 | 40 | 36 | 36 |
Min–max | 14–48 | 14–48 | 17–38 | 17–38 |
Number countries | 154 | 154 | 130 | 130 |
Wald | 159.49*** | 201.81*** | 201.57*** | 236.70*** |
Stat-test (res) | rejects I(1) | rejects I(1) | rejects I(1) | rejects I(1) |
Dependent variable is a democracy index defined in the first row of the Table. GDP per capita is in natural logarithms. Values in parentheses below coefficients are p-values from robust (clustered) standard errors. Regressions include three lags of lagged differences of cross-section averages. Level of significance: ***for p-value < 0.01; **for p-value < 0.05; *for p-value < 0.1. Wald test is a joint significance test for the regressors. CD-test is not performed due to small time-series and unbalanced sample. Stat-test is the Pesaran (2007) unit root test made on the residuals. This test used two lags and rejects I(1) means that in all lags the test of unit root rejects with and without trend. The list of countries that enter in regressions is available upon request.
Democracy and income: comparison with Murtin and Wacziarg (2014) – MW.
(1) | (2) | (3) | (4) | (5) | |
---|---|---|---|---|---|
Democracy polity index | 1800–2010 (used in MW) | 1800–2014 update | 1800–2014 update | 1800–2014 update | 1800–2014 update |
Source for GDP | Maddison (2006) | Maddison (2006) | Project Maddison | Project Maddison | Project Maddison |
Time series dimension | Decennial | Decennial | Decennial | Annual | Annual |
GDP per capitat−1 | 0.105** | 0.105** | 0.123*** | 0.013*** | −0.001 |
(0.010) | (0.010) | (0.003) | (0.000) | (0.829) | |
Dt−1 | 0.332*** | 0.332*** | 0.302*** | 0.935*** | 0.919*** |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Time dummies | Yes | Yes | Yes | No | Yes |
N Observ. | 560 | 560 | 537 | 10,663 | 10,663 |
Avr. N Obs. | 8.1 | 8.1 | 7.8 | 68 | 68 |
Min–max | 2–13 | 2–13 | 2–13 | 5–211 | 5–211 |
Number countries | 69 | 69 | 69 | 156 | 156 |
R2 | 0.62 | 0.62 | 0.60 | 0.95 | 0.95 |
Regressions by fixed-effects estimation. Dependent variable is a democracy index from the polity database. GDP per capita is in natural logarithms. Values in parentheses below coefficients are p-values from robust (clustered) standard errors. Level of significance: ***for p-value < 0.01; **for p-value < 0.05; *for p-value < 0.1. Wald test is a joint significance test for the regressors. The list of countries that enter in regressions is available upon request.
References
Acemoglu, D., S. Johnson, J. Robinson, and P. Yared. 2005. “From Education to Democracy?” American Economic Review Papers and Proceedings 95: 44–49.10.3386/w11204Search in Google Scholar
Acemoglu, D., S. Johnson, J. Robinson, and P. Yared. 2008. “Income and Democracy.” American Economic Review 98 (3): 808–842.10.3386/w11205Search in Google Scholar
Bailey, N., G. Kapetanios, and M. Pesaran. 2015. “Exponent of Cross-sectional Dependence: Estimation and Inference.” Journal of Applied Econometrics 31 (6): 929–960.10.1002/jae.2476Search in Google Scholar
Baier, L., G. Dwyer, and R. Tamura. 2006. “How Important are Capital and Total Factor Productivity for Economic Growth?” Economic Inquiry 44 (1): 23–49.10.1093/ei/cbj003Search in Google Scholar
Banerjee, A., and J. Carrion-i-Silvestre. (2011). Testing for Panel Cointegration using Common Correlated Effects Estimators. Paper presented at the 14th Applied Economics Meeting June, Huelva.Search in Google Scholar
Barro, R 1999. “Determinants of Democracy.” Journal of Political Economy 107 (S6): 158–183.10.1086/250107Search in Google Scholar
Benhabib, J., A. Corvalan, and M. Spiegel. 2011. “Reestablishing the Income-Democracy Nexus.”NBER Working Paper No. 16832.10.3386/w16832Search in Google Scholar
Bobba, M., and D. Coviello. 2007. “Weak Instruments and Weak Identification, in Estimating the Effects of Education, on Democracy.” Economics Letters 96: 301–306.10.1016/j.econlet.2007.01.018Search in Google Scholar
Boix, C 2011. “Democracy, Development and the International System.” American Political Science Review 104 (4): 809–828.10.1017/S0003055411000402Search in Google Scholar
Bonhomme, S., and E. Manresa. 2015. “Grouped Patterns of Heterogeneity in Panel Data.” Econometrica 83 (3): 1147–1184.10.3982/ECTA11319Search in Google Scholar
Bolt, J., and J. L. van Zanden. 2014. “The Maddison Project: Collaborative Research on Historical National Accounts.” The Economic History Review 67 (3): 627–651.10.1111/1468-0289.12032Search in Google Scholar
Castelló-Climent, A 2008. “On the Distribution of Education and Democracy.” Journal of Development Economics 87: 179–190.10.1016/j.jdeveco.2007.10.006Search in Google Scholar
Cervellati, M., F. Jung, U. Sunde, and T. Visher. 2012. “Income, Democracy and Critical Junctures.”IZA Discussion-Paper 7069.Search in Google Scholar
Chudik, A., and M. Pesaran. 2013. “Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors.”Federal Reserve Bank of Dallas Globalization and Monetary Policy Institute Working Paper No. 146.10.24149/gwp146Search in Google Scholar
Eberhardt, M., and F. Teal. 2011. “Econometrics for Grumblers: A New Look At the Literature on Cross-Country Growth Empirics.” Journal of Economic Surveys 25 (1): 109–155.10.1111/j.1467-6419.2010.00624.xSearch in Google Scholar
Eberhardt, M., and A. Prebistero. 2015. “Public Debt and Growth: Heterogeneity and non-linearity.” Journal of International Economics 97 (1): 45–58.10.1016/j.jinteco.2015.04.005Search in Google Scholar
Elkink, J 2011. “The International Diffusion of Democracy.” Comparative Political Studies 44 (12): 1651–1674.10.1177/0010414011407474Search in Google Scholar
Everaert, G., and T. De Groote. 2016. “Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence.” Econometric Reviews 35 (3): 428–463. published online. DOI:10.1080/07474938.2014.966635.Search in Google Scholar
Fayad, G., R. Bates, and A. Hoeffler. 2012. “Income and Democracy: Lipset’s Law Revisited.”IMF Working-Paper 12/295.10.5089/9781475596649.001Search in Google Scholar
Lipset, S 1959. “Some Social Requisites of Democracy: Economic Development and Political Legitimacy.” American Political Science Review 53: 69–105.10.2307/1951731Search in Google Scholar
Marshall, M., and K. Jaggers. 2008. Polity IV Project. http://www.systemicpeace.org/polity/polity4.htm.Search in Google Scholar
Moral-Benito, E., and C. Bartolucci. 2012. “Income and Democracy: Revisiting the Evidence.” Economics Letters 2012: 844–847.10.1016/j.econlet.2012.08.045Search in Google Scholar
Morrisson, C., and F. Murtin. 2009. “The Century of Education.” Journal of Human Capital 3 (1): 1–42.10.1086/600102Search in Google Scholar
Murtin, F., and R. Wacziarg. 2014. “The Democratic Transition.” Journal of Economic Growth 19: 141–181.10.3386/w17432Search in Google Scholar
Pesaran, M 2004. General Diagnostic Tests for Cross Section Dependence in Panels. University of Cambridge, mimeo.10.2139/ssrn.572504Search in Google Scholar
Pesaran, M 2006. “Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure.” Econometrica 74 (4): 967–1012.10.1111/j.1468-0262.2006.00692.xSearch in Google Scholar
Pesaran, M 2007. “A Simple Panel Unit Root Test in the Presence of Cross-Section Dependence.” Journal of Applied Econometrics 22 (2): 265–312.10.1002/jae.951Search in Google Scholar
Pesaran, M 2015. “Testing Weak Cross-Sectional Dependence in Large Panels.” Econometric Reviews 34 (6–10): 1089–1117.10.1080/07474938.2014.956623Search in Google Scholar
Treisman, D 2011. “Income, Democracy and the Cunning of Reason.”NBER Working-Paper 17132.10.3386/w17132Search in Google Scholar
Vanhanen, T 2000. “A New Dataset for Measuring Democracy, 1810–1998.” Journal of Peace Research 37 (2): 251–265.10.1177/0022343300037002008Search in Google Scholar
©2017 Walter de Gruyter GmbH, Berlin/Boston