Sunday, 29 September 2024

RCE: Correlations between democracy and various indicators of repression and internal peace

In the previous post, we saw that your data correlates reasonably well with professional efforts to measure democracy – both the AI-generated data, and your adjusted version, after checking the AI answers. But you also collected some data on conflict (both domestic and external), which was a bit more subjective. In this post, we first check that your data on internal conflict/repression is comparable to other estimates, and look at some basic correlations between our data and estimates of internal peace and repression. (Another post will focus on external conflict and war).

Domestic Repression Data

We are going to look at two different measures of domestic peace/repression. First, the measure that you gathered with some AI help; and second, a latent measure of respect for basic physical integrity rights developed by Christopher Fariss Christopher J. Fariss, Kenwick, and Reuning (2020). Fariss also provides a measure of whether a country is experiencing “one-sided killings”, where a government is engaged in killing of their own citizens. Luckily, these measures are correlated in the right direction (Table 1), though only at the 0.6 level (in contrast to your data on democracy, which correlated at the 0.9 level with V-Dem). The correlation is strongest between the AI measure of domestic peace (lack of internal conflict/repression) and the Christopher J. Fariss, Kenwick, and Reuning (2020) measure, and weakest between the measures of one-sided killing (which are in any case rare events) and your measures of internal peace/lack of repression.

Table 1: Correlations between Fariss 2020 measure of respect for physical integrity rights and the POLS209 AI measure of internal peace
term POLS209 AI Internal Peace measure POLS209 Student Internal Peace Measure Fariss 2020 HR Respect Fariss 2020 one-sided killing
POLS209 AI Internal Peace measure NA 0.82 0.63 -0.24
POLS209 Student Internal Peace Measure 0.82 NA 0.62 -0.22
Fariss 2020 HR Respect 0.63 0.62 NA -0.40
Fariss 2020 one-sided killing -0.24 -0.22 -0.40 NA

Despite these correlations, there may be some sources of error: sometimes scores of 10 were given to more repressive rather than more peaceful countries, for example (because of a problem with the prompt), and I’m not sure I caught all of these cases (see Table 3 below for a potential example); and in at least one case a country was given an impossible score. In any case, the top ten countries where your measure of domestic peace differs the most from the Christopher J. Fariss, Kenwick, and Reuning (2020) measure (Table 2) are small and difficult to research; it is not obvious if the error is from your research, or if the Fariss measure is wrong. They are also mostly cases where POLS209 considers these countries more peaceful domestically (with less repression) than Christopher J. Fariss, Kenwick, and Reuning (2020).

Table 2: Largest differences between POLS209 measure of domestic peace and Fariss 2020 measure. All measures scaled to 0-1.
Country Diff. between scaled AI answer on internal peace and Fariss 2020 (0-1) Diff. between scaled student answer on internal peace and Fariss 2020 (0-1) AI peace (0-1, higher is more peaceful) Student peace (0-1) Fariss 2020 (0-1) Min year Max year
Maldives 0.28 0.77 0.50 0.00 0.77 1978 1988
Comoros 0.47 0.67 0.50 0.30 0.97 2010 2024
Uganda 0.41 0.64 0.50 0.80 0.17 1986 2024
Laos 0.40 0.61 0.50 0.00 0.49 1975 2024
Mali 0.21 0.58 0.50 0.00 0.53 1960 1991
Rwanda 0.56 0.55 0.09 0.00 0.51 1973 1998
Guinea-Bissau 0.57 0.54 0.42 0.10 0.62 1974 2008
Solomon Islands 0.50 0.50 0.50 0.50 1.00 2006 2014
Kenya 0.46 0.48 0.60 0.60 0.13 2002 2008
Peru 0.43 0.45 0.50 0.46 0.34 1985 2020

Domestic Repression and Democracy

As we have learned in class, though democracies can be domestically repressive, they should be less repressive than non-democratic regimes due to the basic feedback mechanisms built into democratic politics. At the same time, not every non-democratic regime should be equally repressive.

All of the measures of domestic repression/respect for basic integrity rights are related in the expected direction with your measure of democracy (Figure 1), though the Fariss measure has a lot more dispersion: more democracy is correlated with less repression and more respect for physical integrity rights. We can also see that there are many non-democratic regimes (in the upper-left corner) with limited repression.



Figure 1: Level of democracy vs. internal peace/repression

It’s also worth trying to see if your measure of accountability (rather than democracy) is associated with more or less repression (Figure 2). Here the relationship still exists but is noisier than the relationship with democracy as a whole.


Figure 2: Level of accountability vs. internal peace/repression

Interactive versions of these graphs are available here.

Outliers and Cases that don’t fit the General Pattern

We can identify the top least repressive non-democratic regimes in your dataset, in case you wish to investigate them further (ranked by your measure of internal peace, Table 3). Of these it looks to me like at least Eritrea is a data-entry error (it probably should have been 0 on internal peace), perhaps because when it was coded the prompt scales were wrongly set up.

Table 3: Top least repressive non-democracies, according to POLS209
Country Avg. POLS209 measure of internal peace (higher is more peaceful/less repressive) Avg. POLS209 measure of democracy Min year Max year
Eritrea 10.00 10.00 1991 1993
Sierra Leone 10.00 9.00 1971 1985
United Arab Emirates 9.49 22.91 1971 2014
Hungary 8.00 31.25 1956 1989
Liberia 8.00 37.00 1997 1999
Uganda 8.00 26.00 1986 2024
Panama 7.00 43.00 1968 1984
Sao Tome and Principe 6.00 19.00 1983 1986

These differ a bit from the top least repressive countries by the Christopher J. Fariss, Kenwick, and Reuning (2020) measure (Table 4).

Table 4: Top least repressive non-democracies, according to Fariss 2020 and POLS209
Country Avg. Fariss 2020 measure of respect for HR (0-1, higher is more peaceful/less repressive) Avg. POLS209 measure of democracy (0-100, higher is more democratic) Min year Max year
Cape Verde 0.62 1.50 1975 1975
Fiji 0.90 5.00 2009 2013
Sao Tome and Principe 0.67 19.00 1983 1986
Maldives 0.77 22.00 1978 1988
United Arab Emirates 0.93 22.91 1971 2014
Seychelles 0.61 28.00 1981 1986
Oman 0.94 29.50 1996 2006
Guinea-Bissau 0.62 36.87 1974 2008
Armenia 0.66 44.00 1991 1996
Kuwait 0.88 46.00 1999 2006

What do these countries have in common, if anything?

We can also identify the top most repressive democracies/hybrid regimes in your dataset. What do you think they have in common, if anything?

Table 5: Top most repressive democracies, according to Fariss 2020 and POLS209
Country Avg. POLS209 measure of internal peace (higher is more peaceful/less repressive) Avg. POLS209 measure of democracy Min year Max year
United States of America 4.89 72.96 1900 2024
South Africa 5.00 71.00 1994 2023
Uruguay 5.00 71.00 1985 1989
Argentina 3.21 70.00 1983 2012
Dominican Republic 5.00 67.00 1996 2004
Turkey (Ottoman Empire) 5.00 64.00 2002 2006
Niger 5.00 63.00 2021 2022
Solomon Islands 5.00 63.00 2006 2014
Macedonia (Former Yugoslav Republic of) 5.00 61.00 1999 2006
Nepal 5.00 61.00 2006 2018

References

Fariss, Christopher J. 2014. “Respect for Human Rights Has Improved over Time: Modeling the Changing Standard of Accountability.” American Political Science Review 108 (02): 297–318. https://doi.org/doi:10.1017/S0003055414000070.
Fariss, Christopher J, Michael R Kenwick, and Kevin Reuning. 2020. “Estimating One-Sided-Killings from a Robust Measurement Model of Human Rights.” Journal of Peace Research 57 (6): 801–14. https://doi.org/10.1177/0022343320965670.

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