Assessing the Quality of Democracy:

Freedom, Competitiveness, and Participation in 18 Latin American Countries*

 

 

 

David Altman

The Helen Kellogg Institute for International Studies

University of Notre Dame

217 O’Shaughnessy Hall

Notre Dame, IN 46556-0368

 

daltman@nd.edu

Aníbal Pérez-Liñán

Department of Political Science

University of Pittsburgh

4L01 Posvar Hall

Pittsburgh, PA 15280

 

 

asp27@pitt.edu

 

Version: June 1, 2001 (7:15)

 

Abstract

 

This paper explores the problem of conceptualizing and measuring the quality of democracy in Latin America.  The first part discusses the use of the concept and the need for an operational measure.  We explore three dimensions of the quality of democracy: civil rights, participation, and effective competition.  In the second part we develop an indicator of effective competition, one of the key dimensions of the concept.  The third part analyses the empirical relationship between all three dimensions in 18 Latin American countries between 1978 and 1996.  We construct summary measures of the quality of democracy in several ways, and show that the ranking of the cases is highly consistent no matter the procedure applied.  In the last section we test the validity of our measure and discuss its limitations.

 

Article length:  6,513 words.

 

* We are indebted to Ana María Bejarano, Daniel Buquet, Miguel Centellas, Rossana Castiglioni, David Collier, Michael Coppedge, Robert Fishman, Fito Garce, Kim Quaile Hill, Nestor Legnani, Scott Mainwaring, Gerardo Munck, María Rosa Olivera-Williams, and Benjamin Radcliff for their valuable comments.  We want to thank the Quality of Democracy Working Group of the Helen Kellogg Institute for International Studies at the University of Notre Dame for its support.  Replication datasets for this study are available upon request.

 


Introduction

After the third wave of democratization, students of comparative politics have noticed a decreasing range of variance in their favorite dependent variable: the political regime.  Explaining the conditions for the emergence, breakdown, or survival of different regimes has been a classic goal of comparative studies.  Over the last decade, however, political democracy has survived in many countries—meaning that the dependent variable has shown no significant change.  This situation has directed scholars towards new and more subtle questions about preconditions for democratic consolidation and the institutional features of new democracies.  Moreover, it is breeding a growing interest in the quality of democratic life, a factor that clearly varies from country to country. 

This paper explores the problem of conceptualizing and measuring the quality of democracy in Latin America.  The first part discusses the use of the concept and the need for an operational measure.  We begin our quest by noting an important distinction among polyarchies: even though all of them allow (quasi) universal participation and legal opposition to the ruling party, effective participation and competition vary from country to country.  This suggests that countries with similar levels of democratization might take advantage of their democratic institutions to different degrees.  Following this observation, we explore three dimensions of the quality of democracy: civil rights, participation, and effective competition.  Following Hill, we conceive these three dimensions as the extension of Dahl’s concept of polyarchy.[1]  In the second part we develop an indicator of effective competition, one of the key dimensions in our study.  The third part analyses the empirical relationship between all three dimensions in 18 Latin American countries between 1978 and 1996.  We construct summary measures of the quality of democracy in several ways, and show that the ranking of the cases is highly consistent no matter the procedure applied.  In the last section we test the validity of our measure and discuss its limitations.

Approaching the Quality of Democracy

By quality of democracy we refer to the extent to which any given polyarchy actualizes its potential as a political regime.[2]  The assumption underlying this view is that polyarchy is a necessary, yet not a sufficient, condition for a high quality of democracy.  We suspect that most students of democracy would agree with this basic definition, if anything else because it is broad enough to accommodate several perspectives on this issue.

Recent studies of democratization have increasingly dealt with this question.  Some authors have approached the topic as an extension of the classic focus on regime change.  A good deal of research has been done in order to measure levels of democracy allowing scholars to trace fine distinctions among the cases placed at the top of the scale.[3]  For instance, Diamond and Coppedge conceived the quality of democracy as the relative degree of democratization among countries that we already label as polyarchies.[4] 

We acknowledge the value of this perspective but see two potential problems.  The first one is that instruments designed to grade regimes in a wide range between full authoritarianism and full democracy may lack sensitivity to discriminate within the pool of polyarchies clustered at one extreme of the range.  Second, we suspect that the relevant criteria to distinguish between authoritarianism and democracy are not necessarily the same as the relevant ones to discriminate among polyarchies.  For instance, marginal improvements in political rights and civil liberties may be relevant, but not be the only key to the quality of democratic life.

There is a substantial difference between addressing the quality of democracy and the level of democratization of a political regime.  Every analysis of the quality of democracy should assume a minimum degree of democratization (i.e. Dahl’s procedural minimum).  When we compare the quality of democracy among countries we are not comparing which countries are more democratic (in the sense that Freedom House scores or the Polity Index measure the level of democracy as opposed to authoritarianism).  Rather, we are analyzing in which countries democracy performs better given some normative standards.  Much of the debate about the Quality of Democracy is about the identification of these normative standards.

For instance a second approach to the quality of democracy has emphasized, often from a qualitative perspective, substantive flaws that negatively affect democratic life in a given country or set of countries.[5]  To deal with these cases of “reserved domains,” lack of “horizontal accountability,” or “electoralism,” among other problems, scholars have developed a whole array of diminished sub-types of democracy.[6]  This perspective has been extremely lucid in identifying challenges for (and flaws of) new polyarchies, but it has usually avoided a comprehensive definition of the quality of democracy and has tended to ignore problems of cross-national measurement.

In our view, some of the most interesting studies of the quality of democracy have been done at the local level.[7]  Putnam identified the quality of democracy with institutional performance—understood as some objective measure of governmental responsiveness and output levels.[8]  Some of Putnam’s indicators, however, are related to the performance of local government per se, not necessarily local democratic government (even though his universe of study was democratic).  In addition, we suspect that his indicators are too tailored to the Italian case (at the local level), and would not travel well to Latin America (at the national level). 

We pursue an operational definition of the quality of democracy that is anchored in Dahl’s definition of polyarchy and that allows us to assess to what extent different polyarchies transform legal opportunities for participation and contestation into tangible patterns of citizen behavior.  Democracy creates the potential for citizen participation and opposition to elected officials, but in many countries citizen apathy or weak party competition, among other possible reasons, hinder the development of this potential. 

Our approach is similar to Hill’s study of the United States.  Hill proposed “…an empirical assessment of the extent of representative democracy in the [American] states.  That assessment is guided by empirical democratic theory and its explication of the essential components of such a governmental system: equal rights to vote in free and fair elections, competitiveness among political parties contending to control government through those elections, and the degree of mass participation in elections.”[9]  Because these three dimensions were derived from the Dahlian concept of polyarchy, we consider this approach particularly useful for the purpose of cross-national comparison.[10]

Following Dahl and Hill we therefore emphasize three dimensions of the quality of democracy in Latin America:[11]

Effective civil rights.  Dahl’s definition of polyarchy hinges on a set of institutional conditions allowing mass participation and free opposition to the ruling elite.  The lack of such conditions (what we call effective rights) determines the absence of polyarchy.  But even if all conditions are present to a good extent (making the country a member of the polyarchic set of regimes) limited violations of civil rights may hinder the quality of democracy.  Countries in which some specific regions or social groups are affected by political violence or electoral manipulation are clearly worse than democracies in which the whole population effectively exercises its rights—of course, no country has a perfect record.  We rely on Freedom House scores as an indicator of this dimension —we normalized the 2-14 scale to range between 0 and 1 in order to facilitate comparison with the other dimensions.[12]  Since all cases in our sample are polyarchies, the average score is high: .73, with a standard deviation of .15.

Effective Participation.  The Dahlian measure of participation reflected the right to participate, not the actual rate of participation.  Most scholars contend (correctly, we think) that voter turnout should not be part of a definition of democracy.  But many others have argued (also correctly, in our view), that turnout is an important dimension of the quality of democratic life.[13]  Greater participation—whether it is voluntary or encouraged by compulsory vote—makes democratic governments responsive to a larger share of the population.[14]  The health of a democratic regime is particularly weak when some citizens are effectively disenfranchised as a consequence of poverty, lack of basic education, or sheer apathy.[15]  Because low turnout in Latin America is typically related to low levels of voter registration we measure turnout as the number of voters over the voting-age population (VAT).[16]  Data were gathered from a single source.[17] In Latin America, turnout varies from extremely low (15% in 1994 Guatemala) to very high rates (95% in 1989 Uruguay).  The average for our sample was a VAT of .62, with a standard deviation of .18.[18]

Effective Competition.  Dahl’s definition of polyarchy allowed for the free exercise of political contestation in—and between—elections, but it never implied that effective competition had to occur.  For instance, Japan between 1955 and 1993 is a classic example of democracy with low inter-party competition.  We agree with Hill, however, that a more competitive democracy is a better democracy.[19]  An indicator of competition useful for our purposes must fulfill three requirements: 1) reflect the opposition’s access to the legislative process, rather than mere electoral outcomes (which can be distorted through disproportionality or fraud); 2) punish the excessive dominance of the ruling party in policy making, but 3) without rewarding excessive dominance of the opposition (which may create serious problems of governability).  For different reasons that we explain in the following section, traditional measures of party competition do not serve our purpose.  We therefore develop an original index for cross-national comparison.

Assessing Effective Competition

Students of democracy and elections have developed different measures of competition.  For example, Powell measured competition as the frequency of alternation in power over a nineteen-year period, and Ranney built a multidimensional index of competition in the American states over several decades.[20]  This long-term perspective is not very useful for new democracies in which just a few elections may have taken place.  Other students have measured competition as the winner's percentage of the votes, the percent margin of victory, and the raw vote margin of victory in elections.[21]  Such measures are closer to our purposes, but they are heavily biased against two-party systems because margins of victory tend to be smaller in multiparty democracies. 

We measure the opposition’s access to power as a weighted difference between the share of the seats of the government and the opposition parties in the lower chamber.[22]  Being aware that it is important to penalize fragmentation, we designed a measure to find the “typical party” in the opposition by weighting the shares of seats in favor of the largest parties:

 
 

 

 


O is an indicator of the leverage of the opposition, where oi  is the share of seats for the i-th opposition party.  We followed the same procedure to estimate the size of the “typical party in government” in the case of electoral coalitions winning office:

 
 

 

 


Based on our previous assessment of the size of the “typical parties” in government and in opposition, we developed and index of competitiveness:

 

 

The value of C tends to zero whenever the government (or the opposition) controls the whole legislature, and to one if there is balance between government and opposition.[23]  For example, C equals .332 for 1984 Nicaragua, and .998 for 1990 Bolivia.  The performance of our indicator is well illustrated by the cases of Ecuador (1988) and Venezuela (1979).  In both cases, the ruling party (Izquierda Democrática and Copei, respectively) controlled 42.2 percent of the seats.  In Ecuador, however, the opposition was highly fragmented, therefore C=.656.  In contrast, Copei had to face the powerful Acción Democrática in congress: C=.745.[24]  The average value of C in our sample is .80 with a standard deviation of .14.[25]

Measuring the Quality of Democracy

In previous sections we have argued that effective civil rights, participation, and competition are three dimensions of the quality of democracy inferred from the Dahlian concept of polyarchy.  Are these three dimensions independent, or do they reflect a latent variable?  If these variables are independent from each other, we can only conceive the quality of democracy as a multidimensional phenomenon.  If, on the contrary, all dimensions reflect an underlying construct, we could develop a summary measure of the quality of democracy in Latin America. 

In this section we address this problem using factor analysis.  We include in our sample all Latin American countries that were polyarchies at some point between 1978 and 1996.  The decision to include some cases in the sample is debatable because the boundaries between democratic and non-democratic regimes are sometimes contested—and, of course, it would not make sense to measure the quality of democracy in non-democracies.  One way of dealing with this problem is to consider polyarchy a concept with uncertain boundaries, not because the concept is ill-defined but because there is uncertainty about some cases belonging to the polyarchic set.[26]  If we adopt a “fuzzy set” approach, we can think of countries as being part of this set with different degrees of probability.[27]  For instance, the probability of Cuba belonging to the set of democracies is virtually zero, the probability of Costa Rica, virtually one.  But we suspect that the probability of Mexico being a member of the set in the early 1990s was lower than one.  Acknowledging the problem of uncertainty, we wanted to include in our sample all cases with a high likelihood of being members of the polyarchic set.

We based our decisions in two categorical measures of democracy, the ACLP classification, and the Mainwaring classification.[28]  We included in our sample all cases coded as democracies or semi-democracies in the Mainwaring classification (that is, cases coded as democratic by Alvarez et al. but not coded as authoritarian by Mainwaring).[29]  Eighteen countries entered the sample at different time points (see Table 1 below).  Cuba and Haiti were not classified as democracies at any point during the 1978-96 period.

Our units of analysis are democracies-after-each-election, a total of 77 observations were included in the analysis (see Annex).  For the few cases in which presidential and legislative elections were held in different years, we measured turnout at the presidential or legislative election and calculated the competitiveness of the system based on the configuration of the new government or legislature. 

To the extent that our three dimensions (civil rights, competitiveness, and turnout) reflect an underlying construct like the “quality of democracy,” we expect them to be partially correlated across cases—they all map the same latent variable.  Indeed, the Pearson correlation between Freedom House scores and turnout is .58, between turnout and the C index is .29, and between Freedom House and C is .49 (all significant at .01 level).  These are not strong correlations and therefore, we cannot be sure whether they reflect a single latent variable without factor analysis. 

Following Hill we used factor analysis to create a summary measure of the quality of democracy.[30]  Factor analysis is useful to validate an index by demonstrating that its constituent items load on the same factor.  According to Marradi: “Factor analysis allows one to use statistical relationships between several lower-level variables as empirical evidence for or against the establishment of a semantic relationship of indication between these variables and an abstract concept, which may thus be measured and transformed into a variable with a high semantic extension and theoretical importance.”[31]  Factor scores for each country are presented in Table 1 below. 

Table 1 here

We also aggregated the three dimensions by estimating the unweighted average of their standardized scores.  The values, presented in the column labeled “Z-scores” are highly correlated with the values for the common factor.  The problem with those two measures is that they are dependent on the cases included in the sample.  If, for instance, we add or delete some observations from the sample, the standardized scores may change and the relative order of cases may be affected.  We therefore tested two forms of aggregation that are free of this problem: the average value ([FH+C+VAT]/3) and the product (FH*C*VAT) of all three dimensions.  Our results are extremely consistent regardless the aggregation procedure, the only exception being the ranking of Chile and Costa Rica (we discuss Chile’s ranking in more detail the conclusions below).  Those two countries change positions if countries are sorted by Average, Product or Z-Scores.  The rest of the countries remain in the same position when sorted by Factor or by any other measure. 

For graphic parsimony we have included a map of Latin America in which each country is colored according to its factor coefficient (Figure 1).  On average, countries in the Southern Cone have shown a better quality of democracy than countries in Central America or Northern South America.  But Costa Rica is of course the most noticeable exception to this pattern.  Not only has Costa Rica being democratic for more than half century, it is also a good democracy.  We suspect that “white” countries (Colombia, Guatemala, Mexico, Paraguay) are, or have been for most of the period under study, borderline cases.  In other terms, they might be located under the “cross-over point” where membership in the set of democracies is more than uncertain.[32]

Figure 1 here

Concept Validity

Besides the issue of aggregation, another important problem in concept building is validation.  Simply put, validity implies that our measure reflects (our definition of) the quality of democracy, not just a small part of the concept or some other theoretical construct.[33]  In this section we focus on criterion-related validity (the extent to which our measure correlates to other indicators) and construct validity (the ways in which our measure relates to broader theoretical assumptions about the quality of democracy).  We are aware that this is modest, first step in the validation process.  As Hubley and Zumbo noted, “the validation process is a form of disciplined inquiry in which plausible, alternative inferences from the test scores or observations are disproved.”[34]

Criterion-related validation is difficult in this case because, to our knowledge, no other measures of the quality of democratic life are available for Latin America.  There are, however, available indicators of democracy like the Polity III, 20-point scale.[35]  We expect a positive correlation between our indicator of democratic quality and the (upper range) of the Polity score.  In fact, the average Polity III scores for countries in our sample correlate at .70 with our measure (n=18).  This correlation is not very surprising, since Polity is itself correlated to Freedom House scores, our indicator of civil rights.  Because our sample includes some cases (i.e., countries in given years) that Mainwaring classified as “semi-democratic” we also looked at the mean factor score for this group.  Cases labeled as semi-democracies (n=28) have an average factor score of –.92, while the ones coded as democratic (n=49) have a mean of +.53.  

For construct validation, we relied on what Adcock and Collier called the AHEM (Assume the Hypothesis, Evaluate the Measure) validity test.[36]  This is also a difficult task because the literature on the quality of democracy is at an early stage, and there are no well-established hypotheses about the causes (and consequences) of a “good” democracy.  We selected three ideas that we considered (almost) uncontroversial: 1) a stronger democratic tradition is correlated with a better democracy; 2) political violence has a negative impact on democratic life, and 3) public satisfaction with democracy is related to the quality of the regime (probably in a bi-directional way). 

As an indicator of “democratic tradition” we counted the number of years of democracy enjoyed by each country in the second half of the century (i.e., between 1950 and 1996, the last year in our sample).[37]  The correlation between this indicator and our factor score is .79 (n=18).  We also measured democratic tradition in the long run using the Polity III country average between 1900 and 1977 (the last year prior to our period).  The correlation between this indicator and our index was .62.  Countries with strong guerrilla movements in the 1978-1996 period (Colombia, El Salvador, Guatemala, Nicaragua, and Perú) have a mean score value of –.94, while the average for the rest of the countries is +.33.  The inclusion of Mexico in the first group would only strengthen our test. 

Satisfaction with democracy at the mass level was measured by the Latinbarometer (1997 wave) in all countries except for the Dominican Republic.  We measured satisfaction as the difference between the percentage of respondents saying that they are “very” or “somewhat” satisfied with the regime, and the ones declaring some degree of dissatisfaction.  The correlation between this indicator and our score is .65 (n=17).  Table 2 below presents the relation between the three factors (tradition, violence, and satisfaction) and the quality of democracy index.  The regression model predicts 80 percent of the variance in the dependent variable, and all coefficients are significant and of the expected sign.

Table 2 here

Conclusions

The major question underlying any assessment of the quality of democracy is how to discriminate between better and worse democratic units.  The number of normative criteria we can use to evaluate democracies is, however, virtually unlimited.  In this case we selected three dimensions that are well-grounded in democratic theory: effective liberties, competitiveness, and participation.   

These criteria have proved to be instrumental for comparing democracies at different levels of analysis.  For instance, Hill compared the US states at two historical moments, Centellas assessed the evolution of democracy over time in one country (Bolivia), and Altman and Pérez-Liñán dealt with a cross-section of countries worldwide.[38]  In this paper we have compared 18 Latin American countries during the “third wave,” between the late 1970s and the mid 1990s. 

We are aware that those three aspects are not enough to fully describe the complexities of democratic life.  For instance, our indicator is not sensitive to the presence of “reserved domains”—as the ones Valenzuela bare in mind when describing Chilean politics.[39]  This explains why Chile ranks so high in our study.  Neither is our measure very sensitive to the presence of “brown areas”; the degree of independence of the Judiciary ; accountability, or institutional performance.[40] 

Those limitations show that we are far from settling the question of how to measure the quality of democracy.  Although our index performs satisfactorily well, fitting our theoretical expectations, we consider this measure a very modest contribution to the incipient debate on this issue.  Future research shall address three topics: the validity of this measure, its reliability in different contexts, and the addition of new dimensions to this idea of democratic quality. 


 


Tables and Figures

 

Table 1.  Quality of Democracy in Latin America (1978-1996)

Country

Dimensions

Factor

Alternative procedures

 

FH

Turnout

C

Scores

Average

Product

Z-Scores

Uruguay (1984-96)

0.861

0.935

0.898

1.385

0.898

0.722

1.108

Costa Rica (1978-96)

0.983

0.807

0.848

1.338

0.879

0.672

1.027

Chile (1990-96)

0.833

0.840

0.980

1.301

0.884

0.686

1.064

Brazil (1985-96)

0.771

0.758

0.908

0.726

0.812

0.527

0.599

Argentina (1983-96)

0.821

0.807

0.790

0.681

0.806

0.526

0.525

Venezuela (1978-96)

0.833

0.684

0.806

0.479

0.774

0.460

0.361

Ecuador (1979-96)

0.781

0.627

0.870

0.358

0.759

0.425

0.289

Honduras (1982-96)

0.708

0.672

0.879

0.259

0.753

0.425

0.231

Dominican Rep. (1978-96)

0.764

0.548

0.893

0.185

0.735

0.382

0.158

Bolivia (1982-96)

0.750

0.563

0.862

0.092

0.725

0.363

0.081

Panama (1990-96)

0.708

0.629

0.761

-0.156

0.699

0.334

-0.130

Nicaragua (1984-96)

0.556

0.752

0.677

-0.575

0.662

0.313

-0.445

Peru (1980-92, 1995-6)

0.625

0.631

0.681

-0.625

0.646

0.271

-0.504

El Salvador (1984-96)

0.597

0.468

0.796

-0.776

0.620

0.219

-0.597

Paraguay (1989-96)

0.625

0.470

0.732

-0.853

0.609

0.209

-0.679

Colombia (1978-96)