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The Democratic Domino Theory: An Empirical Investigation

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DEMOCRATIC DOMINO THEORY 541<br />

TABLE 1 <strong>The</strong> Spread of Democracy, 1851–2001<br />

SAR<br />

SEM<br />

1 2 3 4 1 2 3 4<br />

Rho 0.085 ∗∗∗ 0.078 ∗∗∗ 0.021 ∗∗∗ 0.019 ∗∗∗<br />

(4.660) (4.518) (6.812) (6.466)<br />

Lambda 0.082 ∗∗∗ 0.111 ∗∗∗ 0.008 ∗∗∗ 0.046 ∗∗<br />

(4.560) (15.114) (3.296) (2.224)<br />

Lagged Democracy −0.134 ∗∗∗ −0.336 ∗∗∗ −0.142 ∗∗∗ −0.340 ∗∗∗<br />

Level (15.090) (2.093) (15.701) (26.074)<br />

Constant 0.325 ∗∗∗ 0.439 ∗∗∗ 0.677 1.111 ∗∗ 0.341 ∗∗∗ 0.460 ∗∗∗ 0.685 1.126 ∗∗<br />

(5.157) (7.135) (1.164) (2.093) (5.143) (7.002) (1.174) (2.078)<br />

Log-likelihood −7873.617 −7763.512 −7766.457 −7456.674 −7873.817 −7756.204 −7767.091 −7454.800<br />

R-squared 0.001 0.061 0.068 0.225 0.009 0.077 0.068 0.227<br />

Observations 3358 3358 3358 3358 3358 3358 3358 3358<br />

Notes: Dependent variable: change in democracy (t-statistics in parentheses). Spatial weight matrix: first-order contiguity. ∗∗∗ = 1%,<br />

∗∗ = 5%, ∗ = 10%. Variable included but not reported: island dummy in columns 1 and 2. Columns 3 and 4 include year and country<br />

fixed effects.<br />

a 0.085-unit larger increase in democracy than j. Itdoes<br />

not matter whether we use the SAR or SEM model, which<br />

deliver nearly identical estimates. If one cut a hole in a<br />

map that contained no countries’ names but instead only<br />

their changes in democracy, he could predict the missing<br />

country’s movement in democracy by taking 8.5% of the<br />

average change in democracy in its geographic neighbors<br />

and adding it to the constant in row four.<br />

In the second column of both panels we control for<br />

countries’ lagged levels of democracy. <strong>The</strong> coefficient on<br />

lagged democracy is negative and highly significant, suggesting<br />

there has been “democratic convergence” globally<br />

since 1850. More democratic countries experience<br />

smaller increases in democracy over time than less democratic<br />

countries. Further, controlling for lagged democracy<br />

generates similar spatial coefficients to those above<br />

in both models. In the SAR model the spatial coefficient<br />

falls slightly, and in the SEM model it rises slightly. Countries<br />

“catch” between 8 and 11% of the average change in<br />

democracy in their geographic neighbors.<br />

Columns 3 and 4 replicate columns 1 and 2, only<br />

here we include a comprehensive set of year and country<br />

fixed effects. Our year fixed effects control for any features,<br />

such as global business cycles, oil shocks, etc., that<br />

are common across countries but vary across time. Our<br />

country fixed effects control for any permanent differences<br />

across countries that might be important in contributing<br />

to their changes in democracy over time. 7 Column<br />

3 contains our stripped-down specification; column<br />

7 <strong>An</strong> earlier version of this article used continent dummies to control<br />

for potentially important “geographic effects.” Here, we take a more<br />

comprehensive and informative, albeit admittedly still imperfect,<br />

4 controls for lagged levels of democracy. Including twoway<br />

fixed effects has an important influence on our estimates<br />

of democracy’s spread rate. In both specifications<br />

in both models this spread rate drops significantly. Using<br />

the SAR model, countries “catch” only about 2% of the<br />

average change in democracy in their geographic neighbors.<br />

Using the SEM model, countries “catch” between 1<br />

and 5% of this change. <strong>The</strong>se results are highly significant<br />

but democratic contagion is considerably smaller.<br />

Table 2 considers the same eight specifications for<br />

the sample that covers the years between 1901 and 2001.<br />

<strong>The</strong> democratic contagion described by the democratic<br />

domino theory is as prominent looking only at the twentieth<br />

century as it is considering the period from 1851<br />

to 2001, and in fact is a bit stronger. Without fixed effects<br />

democracy spreads at a rate of about 11% between<br />

neighbors. When fixed effects are included democracy’s<br />

spread rate again falls, here to about 5%. However, in<br />

the two-way fixed effects specification for the SEM model<br />

that also controls for lagged levels of democracy, democracy’s<br />

spread rate regains its former strength of about<br />

12%. Compared to the estimates from the previous sample,<br />

which extended back to the midnineteenth century,<br />

the estimates in Table 2 suggest that democratic dominoes<br />

have fallen somewhat “harder” in the twentieth century<br />

but that their force has remained modest.<br />

Table 3 considers the period between 1951 and 2001,<br />

which delivers results very similar to those for the period<br />

between 1901 and 2001. In the specifications without<br />

approach to this that controls for country fixed effects, income,<br />

income growth, and lagged democracy.

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