ABSTRACT
The purpose of this article is to explore coalition formation in presidential systems using evidence from Latin America. It puts forward three hypotheses based on formateur power, electoral structures and party systems to explore when and why electoral and government coalition formation occurs. It uses evidence stemming from eighteen democratic presidential regimes in Latin America from 1980 to 2010. It looks at 100 elections and 407 aggregate years of democratic government. It analyses data organized in a cross-sectional time-series fashion through a logit function with random effects and robust standard errors. It finds that in democracies with weak presidents, restrictive electoral rules and highly fragmented party systems, the president will seek the support of multiple parties. While the effective number of parties is the most important determinant, rules related to legislative elections are more important predictors of electoral coalitions, and those related to presidential elections are more important predictors of government coalitions. The findings in this article are important insofar as yielding critical insight into partisan strategies in both the run-up to elections and the maintenance of governments, as well as contributing to a general theory of coalition formation.
Keywords: Presidentialism; electoral systems; party systems; coalition formation.
RESUMEN
El propósito de este artículo es explorar la formación de coaliciones en sistemas presidenciales utilizando evidencia de América Latina. Presenta tres hipótesis basadas en el poder de los presidentes, las estructuras electorales y los sistemas de los partidos para explorar cuándo y por qué ocurre la formación de coaliciones electorales y de gobierno. Utiliza evidencia proveniente de dieciocho regímenes presidenciales democráticos entre 1980 y 2010. Examina cien elecciones y cuatrocientos siete años de gobierno democrático. Analiza los datos organizados en una serie temporal por medio de una función logística con efectos aleatorios. Encuentra que en democracias con presidentes débiles, reglas electorales restrictivas y sistemas de partidos altamente fragmentados, el presidente buscará el apoyo de múltiples partidos. Si bien el número efectivo de partidos es el determinante más importante, las reglas relacionadas con las elecciones legislativas son los predictores más importantes de las coaliciones electorales, y las relacionadas con las elecciones presidenciales son las más importantes de las gubernamentales. Los hallazgos en este artículo son importantes porque arrojan una visión crítica de las estrategias partidarias tanto en el periodo previo a las elecciones como durante el periodo de gobierno, y también porque contribuyen a la formulación de una teoría general de formación de coaliciones.
Palabras clave: Presidencialismo; sistemas electorales; sistemas de partido; formación de coaliciones.
CONTENTS
The purpose of this article is to explore coalition formation in presidential systems using evidence from Latin America. The conventional view has been that it is considerably more difficult to form coalitions in presidentialism than it is in parliamentarism, and as a result, parties have only exceptionally been expected to form coalitions in the former. However, since the 1990s, most of the democracies in the region have at some point elected a presidential candidate backed by an electoral coalition or have been ruled by a president supported by a government coalition. Only in the past decade did coalitions win in Argentina (2011, 2015), Bolivia (2014), Brazil (2010, 2014), Chile (2013, 2017), Ecuador (2013, 2017), Guatemala (2008), Panama (2009), Paraguay (2008, 2013), and Peru (2016). So, why do parties form coalitions despite institutional constraints?
This puzzle has not yet been resolved by literature. There is still a discrepancy
between the conventional view and the actual behavior of coalitions. The gap is in
part a consequence of a comparative research program set forward by Juan Linz in the
early 1990s, in which he compared the “virtues of parliamentarism” to the “perils
of presidentialism” ( Linz, J. J. (1990a). The perils of presidentialism. Journal of Democracy, 1 (1), 51-69.Linz, 1990a; Linz, J. J. (1990b). The virtues of parliamentarism. Journal of Democracy, 1 (4), 84-91.Linz 1990b). In his landmark work, Linz looked at both types of regimes, comparing their essential
characteristics, such as the division of powers and term lengths. Among other things,
he found that parliamentary systems were more effective than presidential systems
when it came to the survival of democracy. Linz’s findings would go on to spark two
additional waves of literature comparing parliamentary democracies to presidential
ones ( Elgie, R. (2005). From Linz to Tsebelis: three waves of presidential/parliamentary
studies? Democratization, 12 (1), 106-122. Available at:
The second wave was triggered by the critiques of David Horowitz ( Horowitz, D. L. (1990). Comparing democratic systems. Journal of Democracy, 1 (4), 73-79. Available at:
In the third wave, Robert Elgie ( Elgie, R. (2005). From Linz to Tsebelis: three waves of presidential/parliamentary
studies? Democratization, 12 (1), 106-122. Available at:
These waves are highly relevant to understand the gap in literature, since one common
finding was that parties that would normally form coalitions in parliamentarism would
only exceptionally form coalitions in presidentialism ( Linz, J. J. and Valenzuela, A. (eds.) (1994). The failure of presidential democracy. Baltimore: The Johns Hopkins University Press.Linz and Valenzuela, 1994: 19). Indeed, academics across all three waves concurred that the institutions found
in parliamentary regimes generated stronger incentives for parties to cooperate with
one another than those found in presidential regimes (see Linz, J. J. and Stepan, A. (1996). Problems of democratic transition and consolidation: Southern Europe, South America,
and post-communist Europe. Baltimore: The Johns Hopkins University Press.Linz and Stepan, 1996: 181; Mainwaring, S. (1990). Presidentialism in Latin America. Latin American Research Review, 25 (1), 157-179.Mainwaring, 1990; Mainwaring, S. and Scully, T. (eds.) (1995). Building democratic institutions: Party systems in Latin America. Stanford: Stanford University Press.Mainwaring and Scully, 1995: 33; Stepan, A. and Skach, C. (1993). Constitutional frameworks and democratic consolidation:
Parliamentarianism versus presidentialism. World Politics, 46 (1), 1-22. Available at:
In a more recent contribution, José Antonio Cheibub ( Cheibub, J. A. (2007). Presidentialism, parliamentarism, and democracy. New York: Cambridge University Press. Available at:
Latin American presidential regimes are ideal for exploring these questions. In contrast
to the 1980s, the period Linz and other authors of the three waves of parliamentary/presidential
studies looked at, today half of the democracies in the region constantly undergo
electoral and government coalition formation ( Chaisty, P., Cheeseman, N. and Power, T. J. (2018). Coalitional presidentialism in comparative perspective: Minority presidents in multiparty
systems. Oxford: Oxford University Press. Available at:
The tension between the conventional view and the actual behavior of coalitions in
the presidential regimes requires a revision. While the overall trend of coalition
formation in the region has fostered a growing scholarly interest in regime survival
( Cheibub, J. A. and Limongi, F. (2002). Democratic institutions and regime survival:
parliamentary and presidential democracies reconsidered. Annual Review of Political Science, 5 (1), 151-179. Available at:
This article examines coalition formation in presidential regimes. It attempts to explain why parties cooperate with one another in the form of coalitions, despite the institutional characteristics of presidentialism that have been found to theoretically hinder coalition formation. It also attempts to explain why some parties form electoral coalitions and others form government coalitions. Because this particular body of literature is burgeoning, this article borrows from theories of coalition formation in parliamentary regimes. It uses established concepts from proven power sharing theories to fill in the gaps, and tests a theories of hypotheses that have been so far treated independently.
It also borrows from the work of Cheibub ( Cheibub, J. A. (2007). Presidentialism, parliamentarism, and democracy. New York: Cambridge University Press. Available at:
The remainder of this article is structured as follows. The second section reviews theories of coalition formation. It differentiates between the traits of coalition formation under parliamentarism and presidentialism, and shows that contrary to conventional wisdom, parties have several reasons to form coalitions in presidential regimes. The second section outlines three theories that aim to explain coalition formation in presidentialism, related to formateur power, electoral structures and party systems. The third section breaks the research questions into hypotheses. The fourth section presents the data and methods. The fifth section presents the findings, and the sixth section discusses them. The final section makes some concluding remarks.
In most democracies, rational parties compete for votes, both to control office and
for the opportunity to influence policy ( Strøm, K. and Müller, W. C. (eds.) (1999). Policy, office, or votes? How political parties in Western Europe make hard decisions.
Cambridge: Cambridge University Press. Available at:
Not all coalitions are alike. Cheibub, J. A., Przeworski, A. and Saiegh, S. M. (2004). Government coalitions and
legislative success under presidentialism and parliamentarism. British Journal of Political Science, 34 (4), 565-587. Available at:
Sona Golder ( Golder, S. N. (2006). Pre-electoral coalition formation in parliamentary democracies. British Journal of Political Science, 36 (2), 193-212. Available at:
Mainwaring and Shugart ( Mainwaring, S. and Scully, T. and Shugart, M. S. (eds.) (1997b). Presidentialism and Democracy in Latin America. New York: Cambridge University Press. Available at:
While there is substantive literature assessing the relationship between the executive
and legislative branches in presidential regimes, there is much less on the determinants
of electoral and government coalition formation (see recent contributions by Albala, A. (2016). Presidencialismo y coaliciones de gobierno en América Latina: Un
análisis del papel de las instituciones. Revista de Ciencia Política, 36 (2), 459-479. Available at:
Cooperation among parties can be understood as a function of the policy leverage they
can attain once in power. Parties and candidates will decide to form coalitions only
if they need to do so to pass legislation (see Santos, M. L. Pérez-Liñán, A. and García Montero, M. (2014). El control presidencial
de la agenda legislativa en América Latina. Revista de Ciencia Política, 34 (3), 511-536. Available at:
The level of power invested in the president defines whether she chooses to join a
coalition. The weaker the president’s power, the higher the need for her party to
join a coalition ( Alemán, E. and Tsebelis, G. (2011). Political parties and government coalitions in
the Americas. Journal of Politics in Latin America, 3 (1), 3-28. Available at:
Constitutions in some countries grant the president more power than in others. Theoretically,
as the power invested in a president increases, the likelihood that he will seek cooperation
from other parties decreases (see Jones, M. P. (1994). Presidential election laws and multipartism in Latin America. Political Research Quarterly, 47 (1), 41-57. Available at:
Cooperation among parties is also determined by the rules of the game, which in democracy
are namely electoral institutions and the electoral system (henceforth, electoral
structures). Restrictive electoral structures generate incentives for small party
systems; while permissive electoral structures generate incentives for large party-systems
(see Cheibub, J. A. (2007). Presidentialism, parliamentarism, and democracy. New York: Cambridge University Press. Available at:
It follows that democracies that would like to move from small party-systems to multi-party
systems would aim to adopt permissive electoral rules. However, while most countries
in the region have amended their constitutions in this line ( Remmer, K. L. (2008). The politics of institutional change: Electoral reform in Latin
America, 1978-2002. Party Politics, 14 (1), 5-30. Available at:
At any rate, permissive electoral reforms have been the norm. Theoretically, this
increases the likelihood that parties will seek cooperation from other parties. However,
this does not always fit the evidence, as suggested by Anibal Pérez-Liñán ( Pérez-Liñán, A. (2005). Democratization and Constitutional Crises in Presidential
Regimes: Toward Congressional Supremacy? Comparative Political Studies, 38 (1), 51-74. Available at:
While formateurs and electoral structures theoretically explain coalition formation,
they can hardly do so on their own. A hypothetical democracy with a constitution that
grants its president little power and an electoral structure with restrictive incentives
has a high likelihood of producing a coalition system. However, if that same democracy
has a two-party party system, in contrast to a multiparty system, coalition formation
will be unlikely. Even if all of the conditions outlined above are met, but there
are only two registered parties, coalition formation will be unlikely. For this reason,
the size of the party system is important. Theoretically, it is increasingly likely
that coalitions will form in as the size of the multi-party system increases. However,
it is important to note that the registered number of parties may not be the best
indicator. Indeed, Markku Laakso and Rein Taagepera ( Laakso, M. and Taagepera, R. (1979). Effective number of parties: a measure with application
to West Europe. Comparative Political Studies, 12 (1), 3-27. Available at:
As the number of parties’ increases, the likelihood that one of them will seek cooperation from another one also increases. This is relevant, it has been previously noted that party systems have tended to increase in their number of parties ( Bunker, K. and Navia, P. (2010). Explicando la desproporcionalidad en América Latina: magnitud de distrito, malapportionment y fragmentación partidaria. Revista Española de Ciencia Política, 23, 81-110.Bunker and Navia, 2010), as coalitions have increased their presence ( Chasquetti, D. (2001). Multipartidismo y coaliciones en América Latina: evaluando la difícil combinación. Buenos Aires: CLACSO.Chasquetti, 2001). While this causal link seems straightforward, coalitions only sometimes win elections and only sometimes form governments. In some democracies with large party systems, coalitions form as expected (Brazil) while in others they do not always do so (Uruguay). Likewise, in some democracies with small party systems coalitions do not form as expected (Panama) while in others they normally do so (Guatemala).
In definitive, literature suggests that coalition formation is more likely to occur when the formateur has weak power, the electoral structure is restrictive, and the multiparty system is large. However, only some of the particular variables that theoretically construct each of these causal mechanisms have been empirically tested. Adding more variables, from a wider number of cases can significantly increase explanatory power. Furthermore, most of these theories have only been tested locally in case studies or within small comparative settings. Disaggregating the data into multiple years, both for elections and years of government, can substantially increase the understanding of common factors. The theories presented above will help clarify the puzzle of why presidential democracies increasingly see coalitions form.
The research question that guides this article is: why do political parties form electoral and government coalitions in Latin America? While some literature has been advanced to answer these questions, none has taken a comprehensive approach within presidentialism. This subsection outlines the hypotheses that can be derived from these three theories. These hypotheses aim to explain why electoral and government coalition formation occurs. Some of the hypotheses correspond only to electoral coalition formation, and some correspond only to government coalition formation. Normally the same independent variables are used. However, this will depend on whether the dependent variable is electoral coalition formation or government coalition formation. The following hypotheses are put forward:
H1. Coalition formation is more likely to occur when the formateur has weak power.
H2. Coalition formation is more likely to occur when the electoral structure is restrictive.
H3. Coalition formation is more likely to occur the multiparty system is large.
While the all hypotheses aim to explain government coalition formation, only the second two aim to explain electoral coalition formation. To capture variations, each of the hypotheses are further broken down into a series of independent variables associated with the theoretical expectations and empirical findings presented above.
The objective is to let the independent variables take different forms to see which elements of formateur power, electoral structure and party system size provoke the most influence. Naturally, these hypotheses are tested both independently and in combination with each other across both space and time. While it may be the case that not all independent variables within a specific hypothesis will line up in the expected direction with a strong statistical likelihood, understanding which elements are more salient will be considered to be a finding in itself.
This article looks at eighteen democratic regimes in Latin America. Following Chaisty
et al. ( Chaisty, P., Cheeseman, N. and Power, T. J. (2018). Coalitional presidentialism in comparative perspective: Minority presidents in multiparty
systems. Oxford: Oxford University Press. Available at:
There are two dependent variables. The first is electoral coalition formation (when parties form coalitions to compete in elections), and the second is government coalition formation (when parties form coalitions to govern). Both dependent variables are dichotomous. In the former case, it is set to 1 when two or more parties form an alliance to compete in elections. In the latter case, it is set to 1 when the cabinet is composed by members of at least two different parties. Table 1 shows the list of independent variables that aim to explain when these events are more or less likely to occur. The independent variables are listed under their respective parent theories. The Table also shows the type of variable (continuous or dichotomous), the measurement units and the source when applicable.
In terms of formateur power hypothesis, three independent variables are tested to
explore their impact on government coalition formation. The first is formal policy-making
powers (such as veto power, decree power, and budgetary power), which is expected
to increase the likelihood of coalition formation as it decreases (see Pereira, C., Power, T. J. and Rennó, L. (2005). Under what conditions do presidents
resort to decree power? Theory and evidence from the Brazilian case. The Journal of Politics, 67 (1), 178-200. Available at:
In terms of the electoral structure hypothesis, nine different independent variables are tested to explore their impact on electoral coalition formation and six independent variables are tested to explore their impact on government coalition formation. Some of them overlap. Four of these variables are related to presidential elections (simple majority plurality, incumbency status, term length, and simultaneousness with other elections) and five of them relate to legislative elections (proportional representation, thresholds, the size of the legislature, district magnitude, and the number of tiers in congress). All of these electoral structure variables can be ordered on a restrictive-permissive continuum. Theoretically, the more restrictive they are, the more likely they will be to generate incentives for coalition formation.
Among those related to presidential elections, the first variable is Simple Majority Plurality (SMP). When it is available, coalition formation is more likely to occur. When a presidential candidate has only one shot at an election (as opposed to two shots, when a run-off is available), he will attempt to maximize his chances of winning by forming a broad enough coalition to surpass the required threshold. In most cases, parties that are asked to join a coalition will seek a reward in exchange for their endorsement, such as cabinet portfolios or congressional power positions. Thus, while SMP offers strong incentives to join a coalition before an election, the formateur-elect will often decide to uphold the agreement for the duration of his administration
A second independent variable is related to the formateurs incumbency status. When the formateur is bidding for reelection, or when he is successfully reelected, coalition formation is more likely to occur. Because incumbents that seek re-election are usually considered front-runners, smaller parties that do not stand a chance will seek to back them in exchange for cabinet portfolios. Similarly, formateurs in their second term are more likely to see government coalitions form, since they are likely to uphold partisan agreement that stem from their first term. This is also reinforced by trends in presidential approval in the region, since popularity levels have been noted to drop in the second of two consecutive terms. In these cases, formateurs need to make strategic alliances in order to pass legislation.
A third independent variable is related to the formateurs term length. When it is
a longer term, coalition formation is more likely to occur (see Neto, O. A. (2006). The presidential calculus: Executive policy making and cabinet
formation in the Americas. Comparative Political Studies, 39 (4), 415-440. Available at:
The fourth independent variable is related to the simultaneousness of presidential
and legislative elections. When these two elections are concurrent, coalition formation
is more likely to occur (see Borges, A. and Turgeon, M. (2017). Presidential coattails in coalitional presidentialism. Party Politics, Online First. Available at:
Among those variables to legislative elections, the first is the electoral system. When votes are translated to seats by means of proportional representation, coalition formation is more likely. This is based on the premise that PR systems encourage multi-party systems, and thus boost the chance that at least some of the parties will find a common platform to campaign on. As the party system becomes more crowded, the chance of finding like-minded parties increases. In turn, as the number of like-minded parties’ increases there will be more incentives for them to negotiate and form coalitions, or even merge. As explained below, in small party systems there are fewer incentives to cooperate, since more parties have a chance of winning on their own.
A second variable in this line is related to barriers of entry. When legislative electoral systems have thresholds to gain legislative representation, coalition formation is more likely to occur. The logic being that the survival instinct of small parties will force them to find a way of remaining active in the political system. If a small party anticipates a low vote share in the upcoming election, the incentive to cooperate with a larger party, increases. This is tied in with the psychological incentives of parties when strategically deciding how to approach elections (see Benoit, 2005). If a small party anticipates that the electoral system will harm their chances of entering congress, they will choose to negotiate with a larger party in order to secure access to the legislature.
The size of the legislature is also relevant to explain why parties cooperate. When
more legislators are elected to congress, coalition formation is more likely. When
there are many seats available, larger parties will be looking to co-opt smaller parties
and avoid potential veto-players. Since large parties are central in forming government
or opposition, it is important for their purpose to have the greatest number of parties
aligned on their side. If they do not negotiate with smaller parties, they risk internal
dealignment. Likewise, smaller parties may seek to cooperate with larger parties,
since their vote share will probably not give them a significant quota of power in
congress anyway. From their perspective, it may be important to form a coalition with
a larger party and piggyback on their share of power. At any rate, the size of the
legislature has been found to be an important predictor of the number of parties ( Shugart, M. S. and Taagepera, R. (2017). Votes from Seats: Logical Models of Electoral Systems. New York: Cambridge University Press. Available at:
A fourth variable is related to the size of legislative districts. When many legislators
are elected in each district, coalition formation is more likely to occur. The logic
behind this hypothesis is that because small parties face elimination if they decide
to compete against large parties in districts where few seats are available, they
will tend to maximize their chances of survival and join a coalition. Larger districts
tend to favor larger party systems ( Cox, G. W. (1997). Making votes count: strategic coordination in the world’s electoral systems. New York: Cambridge University Press. Available at:
In terms of the party system hypothesis, two independent variables are tested to explore
their impact on electoral and government coalition formation. The first is the size
of the party system. Since timing is relevant, this variable is divided into two indicators:
the number of electoral parties (ENEP), and the number of legislative parties (ENLP).
The impact of the former will be tested on electoral coalitions, and the impact of
the latter will be tested on government coalitions. The central idea is the same for
both. When there are more parties in the system, coalition formation will be more
likely (see Kellam, M. (2017). Why pre-electoral coalitions in presidential systems? British Journal of Political Science, 47 (2), 391-411. Available at:
Variable | Type | Measurement and source |
---|---|---|
H1: Formateur Power | ||
Formal Policy-Making Powers | Continuous | Index of formal powers of the sitting president ( Negretto, G. L. (2013). Making constitutions: presidents, parties, and institutional choice in Latin America.
New York: Cambridge University Press. Available at:
|
Informal Policy-Making Powers | Continuous | Index of informal powers of the sitting president ( Negretto, G. L. (2013). Making constitutions: presidents, parties, and institutional choice in Latin America.
New York: Cambridge University Press. Available at:
|
Vote % in Previous Election | Continuous | Percentage of votes for the sitting president in the first or only round of elections |
H2: Electoral Structure | ||
SMP | Dummy | 1: if president is elected in the first round; 0: otherwise |
Concurrent Elections | Dummy | 1: if presidential and legislative elections are concurrent; 0: otherwise |
Incumbency Status | Dummy | 1: if president is able to bid for immediate reelection; 0: otherwise |
Term Length | Continuous | Number of years in the fixed presidential term |
Proportional Representation | Dummy | 1: if the majority of seats in the lower chamber are assigned by a PR-system; 0: otherwise |
Threshold | Dummy | 1: if there is a minimum threshold for parties to gain representation; 0: otherwise |
Size of Legislature | Continuous | Number of legislators in the lower (or only) legislative chamber |
District Magnitude | Continuous | Number of median district magnitude in the lower (or only) legislative chamber [also squared] |
Bicameralism | Dummy | 1: if Congress has two chambers; 0: otherwise |
H3: Party System | ||
Effective Number of Parties | Continuous | Number of electoral or legislative parties ( Laakso, M. and Taagepera, R. (1979). Effective number of parties: a measure with application
to West Europe. Comparative Political Studies, 12 (1), 3-27. Available at:
|
Formateur Legislative Majority | Continuous | Percentage of votes for the president-elect (or the sitting president) |
Political Controls | ||
Electoral Coalition | Dummy | 1: if the current government was backed by an electoral coalition; 0: otherwise |
Crisis | Dummy | 1: if a major political crisis occurred that year; 0: otherwise ( Llanos, M., and Marsteintredet, L. (eds.) (2010). Presidential breakdowns in Latin America: Causes and outcomes of executive instability in developing democracies. New York: Palgrave Macmillan.Llanos and Marsteintredet, 2010) |
Left | Dummy | 1: if the current government was led by a left-wing president; 0: otherwise |
Outsider | Dummy | 1: if an outsider presidential candidate competed in the previous election; 0: otherwise |
Age of Democracy | Continuous | Number of years since most recent transition to democracy |
Economic Controls | ||
Inflation | Continuous | Index of inflation lagged one year (Word Bank) |
Growth | Continuous | Growth Domestic Product per capita lagged one year (Word Bank) |
Inequality | Continuous | Gini coefficient lagged one year (Word Bank) |
Note: All variables are coded by author with information from national electoral services and political constitutions, unless stated otherwise.
Source: Author.
A series of additional variables are added to the models to control for external factors. One set of these controls are related to political variables, such as presidential crisis, left-wing government, outsider candidates, and the age of democracy. When they occur, coalition formation becomes more likely. Thus, when a democracy is going through crisis, the president belongs to a left-wing party, an outsider competed in the previous election, and the democracy is young, coalition formation is expected to be more likely to occur.
A second set of these controls are economic variables, such as inflation, growth and inequality. When the Consumer Price and Gini indexes are low while the GDP index is high (in the previous year), coalition formation is expected to be more likely to occur.
This article uses data stemming from eighteen countries, 100 elections and 407 aggregate years of democratic government.[1]As mentioned above, the dependent variable depends on whether coalition formation occurs at the electoral or at the government level. In the former case, it is a dichotomous indicator that tests whether both the winning and the runner-up formateur candidates are backed by coalitions of two or more parties. In the latter case, it is a dichotomous indicator that tests if the government portfolio is composed by members of at least two different parties. The independent variables are those mentioned above. Control variables are held constant across all models. The unexplained variation is manifested in the error component.
Data are organized and tested to account for individual heterogeneity. In these models, observations are treated as panel data to control for variables that could not be directly observed or measured. Thus, they are treated as cross-sectional time series with a time series logit function. This statistical technique is regularly used in studies that use data with multiple observations in multiple countries. Data is tested with both random effects and fixed effects models ( McCullagh, P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman and Hall.McCullagh and Nelder, 1989). The random effects models assume that the error term is not correlated with the respective independent variables, which allows for time-invariant variables to play a role as explanatory variables. The fixed effects models do not make the same assumption.[2] The specification for all of the models is as follows:
ϓit = β1χ1it + β2χ2it + β3χ3it + β4χ4it + ζit + ηi + ξit
where ϓit is the value of the dependent variable for the ith case (country) in the sample at the tth time period (year); β1 is the coefficient corresponding to each of the variables in the first vector (formateur power) and χ1it it is the value corresponding to each of its time varying covariates. β2 is the coefficient corresponding to each of the variables in the second vector (electoral structure) and χ2it is the value corresponding to each of its time-varying covariates. β3 is the coefficient corresponding to each of the variables in the third vector (party system) and χ3it is the value corresponding to each of its time-varying covariates. β4 is the coefficient corresponding to each of the variables in the fourth vector (control variables) and χ4it is the value corresponding to each of its time-varying covariates. ζit is the unknown intercept for each entity; ηi is the between-entity error; and ξit is the within-entity error.
Table 2 shows the determinants of electoral coalition formation. It shows three models with different combinations of the independent variables. Model 1 shows the impact of the electoral structure, and Model 2 shows the impact of the party system, and Model 3 shows a combination of the two theories.
Bicameralism, proportional representation and size of the legislature are the most important elements of the electoral structure when it comes to predicting electoral coalition formation. When they are compared to each other, in Model 1, bicameralism and PR are significantly more important, suggesting that when congress is divided into two tiers, and legislators are elected with proportional representation formulas, parties have stronger incentives to cooperate. In essence, the probability of electoral alliances is higher in bicameral democracies that use proportional representation systems (such as Argentina or Brazil) in comparison to those that use majoritarian components (such as Mexico or Panama).
The number of electoral parties is also a crucial predictor for electoral coalitions. As the number of parties that compete in elections increases, the probability of electoral coalition formation also increases. It need not be this way; parties could very well work as a replacement for coalitions. The number of parties could grow at the expense of coalitions. Yet, evidence shows the contrary. The ENEP holds both its magnitude and direction of impact, as well as its significance, across all models. Irrelevant of the variables tested, the number of parties that compete in elections is the most powerful predictor of coalition formation.
Model 1 | Model 2 | Model 3 | |
---|---|---|---|
Electoral Structure | |||
SMP | 0.23 (2.89) | 0.44 (1.10) | |
Reelection | 0.46 (1.79) | -0.52 (1.34) | |
Term Length | -0.74 (1.10) | 0.23 (0.70) | |
Concurrent Elections | 0.33 (2.70) | -0.19 (1.63) | |
Bicameralism | 5.74 (3.42) Significant at the 95% (0.05) level |
0.65 (1.64) | |
PR | 4.72 (3.13) Significant at the 95% (0.05) level |
1.23 (1.49) | |
Threshold | -1.50 (2.39) | 0.46 (1.30) | |
Size of Legislature | 0.05 (0.02) Significant at the 95% (0.05) level |
0.02 (0.01) | |
District Magnitude | -0.21 (0.44) | -0.14 (0.24) | |
District Magnitude Sq. | -0.00 (0.01) | 0.00 (0.00) Significant at the 95% (0.05) level |
|
Party System | |||
Electoral Parties | 0.62 (0.20) significant at the 99.9% level (0.001) |
0.68 (0.22) significant at the 99.9% level (0.001) |
|
Formateur Majority | 2.87 (1.99) | 2.64 (2.14) | |
Political Controls | |||
Outsider | -1.45 (1.29) | -0.80 (0.88) | -0.62 (1.10) |
Age of Democracy | -0.04 (0.06) | -0.03 (0.03) | -0.03 (0.04) |
Economic Controls | |||
Inflation | 0.00 (0.00) | 0.00 (0.01) | 0.00 (0.00) |
Growth | 0.01 (0.14) | 0.09 (0.10) | 0.11 (0.10) |
Inequality | 0.09 (0.12) | 0.01 (0.07) | -0.00 (0.08) |
Model Fit | |||
Constant | -13.34 (10.32) | -5.05 (4.04) | -9.39 (6.80) |
N | 100 | 100 | 100 |
Log Pseudolikelihood | -42.56 | -45.57 | -39.00 |
lnsig2u | 3.28 | 0.99 | -0.79 |
sigma_u | 5.16 | 1.64 | 0.96 |
rho | 0.89 | 0.45 | 0.22 |
Table 3 shows the determinants of government coalition formation. Model 4 shows the impact of formateur power, Model 5 shows the impact of the electoral structure, and Model 6 shows the impact of the party system. Model 7 shows a combination of the three theories. In comparison to Table 2, there are some differences in the sets of independent variables used. Most importantly, the effective number of legislative parties instead of the effective number of electoral parties.
Formateur power is a strong and consistent predictor of government coalition formation. As the power of the president falls, the probability of government coalition formation increases. This makes sense. Since all presidents seek to pass legislation, the real question is how they attempt to do so. If the president has ample constitutional power and high levels of popular support, she will likely be able to pass legislation unilaterally, and choose to govern alone with her party. Instead, if she has a combination of low power and low vote share, she will likely need to seek support from other parties to get things done. While formateur power is important across all contexts, informal powers seem to be a slightly better predictor than formal powers.
The electoral structure is also a defining element when it comes to government coalition formation. The manner in which the president is elected is defining. The probability of a president forming a multi-party cabinet significantly increases when the president is elected in a single round (in contrast to a runoff).
Term length is equally important. As the number of years in the term increases, the probability of coalition formation grows. Presidents that govern for six years are more likely to form coalitions than presidents that govern for four years. As discussed above, the logic is more bottom-up than top-down. It is not that large parties seek the support of small parties, but that small parties seek the support of large parties. Since the president has already secured a longer period in power, she is not as concerned as smaller parties in the immediate fate. In contrast, small parties are pressured to pact early on in the term so that they can secure political relevance. The logic is that a small party is worth more in government than in opposition, provided there are sufficient ideological affinities.
Another important predictor of government coalition formation is electoral coalition formation. If the president-elect was supported by an electoral coalition in the immediately previous election, she will almost certainly govern with a coalition. This echoes “Gamson’s Law,” in that parties that endorsed the president in the election will be rewarded with cabinet posts. Only rarely will a president that competed alone in the election decide to negotiate with other parties for support (one exception is the Violeta Chamorro administration in Nicaragua).
Perhaps the most interesting finding, however, is that as the number of legislative
parties’ declines, the probability of government coalition formation increases. While
this seems counterintuitive, especially considering the relationship between ENEP
and electoral coalitions, is makes sense since there is a mechanical reductive factor
occurring between elections and government formation. Since there will never be as
many ENLP as there are ENEP, an implicit indicator of coalition formation is precisely
a decline in the number of parties in this period. Furthermore, if there are fewer
parties in congress, the president will have incentives to seek support elsewhere,
to prevent facing an opposition cartel (see Slater, D. and Simmons, E. (2013). Coping by colluding: Political uncertainty and
promiscuous powersharing in Indonesia and Bolivia. Comparative Political Studies, 46 (11), 1366-1393. Available at:
One variable that is consistently significant across all scenarios is the age of the democracy. Government coalition formation is more likely in younger democracies. This makes sense, especially in the Latin American context. As democracies consolidate and party systems institutionalize, coalition formation stabilizes. While there is a larger share of coalitions in government today than thirty years ago, the countries in which they form are different. Countries that were young democracies three decades ago were more likely to see coalition formation then than they are now.
These findings suggest that the three hypotheses postulated above can be accepted,
with some caveats. The probability of electoral coalition formation increases as the
electoral structure becomes more restrictive and the party system becomes more fragmented.
Some variables are substantially more important than others, such as the size of the
legislature and the ENEP. Similarly, the probability of government coalition formation
increases as the formateur falls in power, and the electoral structure becomes more
restrictive. While there is mixed evidence for the hypothesis that a larger party
system will lead to government coalition formation, it is likely that both variables
are linked through a causal mechanism in which the number of parties are mechanically
reduced in the process of translating votes into seats (see Benoit, K. (2002). The endogeneity problem in electoral studies: a critical re-examination
of Duverger’s mechanical effect. Electoral Studies, 21 (1), 35-46. Available at:
This article contributes to the burgeoning body of literature preoccupied with building a theory of coalition formation particular to presidentialism. Through a wide theoretical review, it identifies some of the major variables previously syndicated as important determinants of coalition formation. It takes a confirmatory approach and tests them together in the same model. It finds that the data is generally consistent with the theories are hypotheses. As the president’s power decreases, electoral structures become more restrictive and party systems become more fragmented, the probability of coalition formation increases. This article complements previous contributions by taking a holistic to explain both electoral and government coalition formation.
This article also contributes by finding that within each of the theories put forward, some variables are more important than others, such as the president’s informal authority in the formateur power theory, bicameralism, proportional representation and the size of the legislature in the electoral structure theory, and the number of parties in the party system theory. While it establishes that the theories are generally consistent at the macro-levels, it also singles out the specific variables that are most influential in coalition formation. In this line, it also eliminates variables that have been mistakenly considered important determinants in the past, such as the concurrency of presidential and legislative elections and the incumbency status of the president.
The findings in this article are important insofar as yielding critical insight into
partisan strategies in both the run-up to elections and the maintenance of governments.
It is consistent with recent research that has found that coalition formation is more
likely under some scenarios, such as bicameralism ( Albala, A. (2017). Coalition presidentialism in bicameral congresses: How does the
control of a bicameral majority affect coalition survival? Brazilian Political Science Review, 11 (2). Available at:
These finding contribute to a general theory of coalition formation, which has thus far either been approached by findings made in parliamentary studies or in presidential regime survival. Further research should continue to explore the reasons of coalition formation in presidentialism, either by taking a deeper look at some of the variables that show likely causal links in this article or by comparing the factors that make coalition formation more likely across different regimes by crosschecking the variables found to be significant above. Future research could also look at the influence of additional variables, not tested here, that may impact coalition formation, such as the size and age of political parties and if they have clientelistic or programmatic tendencies.
I thank Simon Hix and Francisco Panizza for their comments on an early version of this article. I also thank Gianluca Passarelli and Ellie Knott for their insight, and the two anonymous reviewers for their helpful comments. The data and all computer code necessary to replicate the results in this analysis can be found on my personal website. Stata 15 was the statistical package used in this study.
[1] |
The distribution of elections and years across countries is as follows: Argentina (6 elections and 27 years), Bolivia (6 elections and 21 years); Brazil (6 elections and 25 years); Chile (4 elections and 20 years); Colombia (7 elections and 27 years); Costa Rica (7 elections and 27 years); Dominican Republic (8 elections and 27 years); Ecuador (9 elections and 24 years); El Salvador (5 elections and 25 years); Guatemala (6 elections and 24 years); Honduras (7 elections and 28 years); Mexico (2 elections and 10 years); Nicaragua (4 elections and 19 years); Panama (4 elections and 16 years); Paraguay (4 elections and 17 years); Peru (4 elections and 19 years); Uruguay (5 elections and 25 years); Venezuela (6 elections and 26 years). |
[2] |
To choose between the random effects and the fixed effects models a Hausman test
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