One of the most important developments in the world economy during the past three decades has been the willingness of governments in emerging markets to open up their economies to global markets. A significant element of this opening has been the liberalization of capital controls—a process known as capital account liberalization. What accounts for this trend? One view claims that capital controls no longer “work” in the context of capital mobility, thus obliging states to liberalize.1
Andrews 1994.
Frieden 1991.
Despite rising capital mobility, there has been considerable policy variation across emerging markets. While some states, such as Argentina in the 1990s or Indonesia in the 1970s, liberalized, other states, such as Argentina in the 1980s or Chile and Malaysia in the 1990s, relied on capital controls. Evidence from the Chilean and Malaysian cases also indicates that these controls were in some respects quite effective.3
See the summary provided in IMF 2005, 18, 46, 75–76.
Interest group pressures are also not always decisive. Considerable uncertainty and imperfect information surround the decision to liberalize the capital account, particularly in emerging markets. For instance, domestic financial intermediaries in emerging markets are often uncertain as to whether they stand to benefit from the increased opportunities for intermediation that can accompany liberalization or whether they stand to be harmed from the possibility that liberalization will precipitate a banking crisis due to the legacies of financial repression and poor prudential supervision that typically characterize emerging markets.
This uncertainty often leads interest groups to fall silent when one might expect them to be critical players. This silence is born out in several cross-national comparative studies of policy reform.5
In their study of policy reform in eight emerging markets, Bates and Krueger find that “in such situations, advocates of particular economic theories or ideological conceptions of how economies work can acquire influence [and shape policy].”6Bates and Krueger 1993, 456.
A key task then is to understand which “particular economic theories or ideological conceptions” were critical for capital account liberalization and how their advocates acquired influence. Existing explanations, however, offer little insight and generally neglect the role of these ideas and their advocates.7
Eichengreen 2001, 351.
Haas 1992.
To implement their preference into policy, these economists must persuade and negotiate with other policymakers and politicians. Even if an economist becomes chief of government he or she still must often confront various political constraints, such as a coalition government, legislative pressures, or opposing interest groups. Yet the epistemic community literature leaves unclear the conditions that facilitate the implementation of ideas into policy. Here I build on this line of research by focusing on how the formation of a coherent policymaking team matters. By producing nearly consistent advice from policymakers and enhancing their autonomy from interest groups, coherence increases the likelihood that neoliberal economists can implement their shared ideas into policy. When these economists form a coherent policymaking team, capital account policy is more likely to be liberalized.
This article also advances ideational research methodology. There is now a large number of studies on ideas, economists, and their role in shaping economic policy. Yet despite the considerable number of case studies, there have been few efforts to assess the relative importance of ideas and economists on policymaking. More significantly, these studies generally fail to address seriously the issue that appointment strategies of politicians are endogenous, let alone attempt to test it. These studies are therefore unable to fully assess the independent effect of ideas and economists. Thus, not only are rigorous tests of ideas and economists generally lacking, but there is also inadequate attention to the problem of endogeneity.
By contrast, this article examines these issues in a systematic and rigorous manner. Employing a new data set that codes the professional training of more than 1500 policymakers in emerging markets, I employ a two-stage modeling approach to assess the relative and independent impact of neoliberal economists on capital account policy. The first-stage model explores the factors driving appointments. Here I find that both credibility concerns and political interests matter. Yet I also stress that a fuller understanding of the appointment process necessitates a focus on the social environment in which appointments are situated. Official and market sentiment is likely to have conditioned how some politicians interpreted their policy options; and economists, who helped to create this sentiment, in turn exploited it to secure appointments and promote their views.
Instruments to control for the nonrandom selection of economists are then developed and incorporated in the second-stage model exploring policy decisions. The findings indicate that formation of a coherent policymaking team of neoliberal economists significantly influenced the decision to liberalize. The findings suggest existing explanations are incomplete, as they neglect one of their crucial complements: the role of neoliberal ideas. By examining and demonstrating the role of economists in promoting these ideas, this analysis helps one better understand the process of liberalization in emerging markets. The results also contribute to one's understanding of policy diffusion, suggesting that economists are an important, though often overlooked, conduit through which ideas and policy practices spread.
Epistemic Communities and Policy Reform
The recent literature on policy reforms in emerging markets often features members of an epistemic community of neoliberal economists as key players.9
These accounts suggest that professional training of economists serves as a form of socialization that shapes their subsequent policy preferences and drives the diffusion of policy practices. Professional training in economics shapes an individual's preferences by promoting, both implicitly and explicitly, a particular set of causal and normative beliefs.10See, for instance, Klamer and Colander 1990.
Material trends, such as capital mobility, do not come with an “instruction sheet.” Rather, they need to be interpreted and policy responses debated and negotiated. Economists thus become critical policymaking actors and help to diffuse policy practices when they insert their interpretations into the decision-making process through persuasion and negotiation. These interpretations in turn give meaning to material trends and legitimate specific policy options. By defining what policy choices are possible, these interpretations can shape the interests and behavior of politicians.
Some suggest the appointment process is driven by uncertainty.11
Haas 1992.
Others propose alternative models of the appointment process, focusing on the incentives driving the turn to expertise. One such model—which I label the credibility model—claims that politicians appoint neoliberal economists as a signal to official and private creditors of a government's creditworthiness as well as the credibility of its commitment to a particular policy orientation.13
Maxfield 1997.
Geddes 1994.
Yet the epistemic community literature fails to specify the conditions that facilitate the implementation of expert interpretations into policy. Here the formation of a coherent policymaking team, characterized by a preponderance of like-minded experts in key bureaucratic positions, is likely to prove critical. To implement their ideas into policy after their appointment, economists must persuade and negotiate with other policymakers, and at the same time resist opposing societal demands. A coherent policymaking team is likely to be in a stronger position to accomplish these goals than a heterogeneous team.
In the absence of competing ideas to guide policy, coherence ensures consistent advice and increases the likelihood that the chief of government and other politicians will view the interpretations these economists offer as “correct.”16
Checkel 2001.
Hall 1989.
Neoliberal Economists and Capital Account Liberalization
These arguments can be extended to offer a new theory of capital account liberalization. Considerable uncertainty surrounds the decision to liberalize the capital account. Numerous econometric studies have generally concluded that liberalization fails to offer unambiguous benefits and is often associated with financial crisis.18
For a review of the literature, see Eichengreen 2001.
As noted, the interpretations economists provide tend to be linked to the substance of their professional training. This suggests that professional training in academic departments associated with favorable interpretations of free capital movements—a set of beliefs commonly referred to as neoliberalism—probably instilled in some economists a belief that liberalization is beneficial and desirable. After forming a coherent policy team, these economists should serve as a critical conduit for the diffusion of neoliberal ideas and policy practices and thus increase the likelihood of liberalization.
In the early 1960s most economists in the profession abandoned the Keynesian claim—which had dominated thinking since World War II—that the volatility of financial markets necessitated and legitimated the permanent use of capital controls.19
Best 2005, chap. 5. Chwieroth 2007b provides a fuller treatment of the evolution of the economic profession's ideas about capital controls.
For a summary of these understandings, see Obstfeld 1998.
Tirole 2002, ix. Even Williamson—who routinely stressed the dangers of liberalization—subtitled one of his warnings “Liberalize the Capital Account Last,” not “Liberalize the Capital Account Never” as Keynes suggested; see Williamson 1997.
The differences that remained among neoclassical economists were one of degree rather than kind. Debates persisted within the profession about the importance of the pace and sequencing of liberalization, but not of its long-run desirability. This consensus was in sharp contrast to Keynesian understandings that denied the desirability of liberalization even in the long run. Remarkably, this neoliberal consensus developed in the absence of unambiguous evidence confirming the benefits of liberalization and persisted until the Asian financial crisis. One key attribute that constitutes being a neoliberal then is shared knowledge about the long-run beneficial impact and desirability of liberalizing capital controls. Using Munck and Verkuilen's terminology, this attribute is one of the “leaves” of the concept tree of neoliberalism, and it is only the impact of this specific conceptual leaf that I seek to address.22
Munck and Verkuilen 2002, 13.
It is also important to recognize how this consensus facilitated liberalization not only directly (by shaping the views of economists) but also indirectly by shaping the social environment in which appointments were situated. The logic of the credibility model depends on the beliefs or sentiment shared by members of the official and private financial community, such as the U.S. Treasury, the International Monetary Fund (IMF), commercial banks, private investors, and credit rating agencies. Credibility model arguments are premised on the assumption that a neoliberal consensus characterizes the beliefs and types of policies these actors deem possible and legitimate. This consensus privileges the appointment of neoliberal economists and their preferred policies as the sole credible policy alternative. “In the absence of [this] ideational consensus,” as Simmons and Elkins observe, “heterodox policies are difficult to distinguish and readily tolerated.”23
Simmons and Elkins 2004, 173.
Although based on the data employed in the analysis I cannot directly assess the influence of this social environment, there is compelling evidence to suspect it was influential in precluding alternative strategies.24
To conduct such an analysis would require a time-series that extends to appointments prior to the ascendance of neoliberal official and market sentiment, which is currently unavailable.
See, for instance, Diaz-Alejandro 1984.
This neoliberal sentiment acted as a severe constraint on the types of policy options that emerging market politicians perceived to be sustainable. As Haggard and Kaufman note, this sentiment “conditioned the way elites interpreted the economic crises of the 1980s and the kinds of policy options [and thus appointments] necessary to remedy them.”27
Haggard and Kaufman 1992, 22–23; see also 36–37.
Helleiner 1994.
The appointment process therefore does not take place in a social vacuum. Before making an appointment, politicians often engage a variety of experts to solicit their views about the appropriate policy course. Yet neoliberal economists are not passive actors in the appointment process. Rather, they have proven to be quite adept at exploiting official and market sentiment to secure government appointments and to promote their views, earning the label “technopols” to indicate their hybrid status as technocrats and politicians.
These technopols recognize prevailing official and market sentiment as well as the corresponding incentives politicians face and often deliberately frame their policy recommendations so that they resonate with these incentives.29
As former IMF First Deputy Managing Director Stanley Fischer notes, neoliberal economists in emerging markets often use official sentiment to secure and to promote their position, using negotiations and discussions with the IMF to strengthen their views against their domestic opponents.30Fischer 1997, 26.
Capital account liberalization in emerging markets is thus likely to be linked to the diffusion of ideas via neoliberal economists. These lines of argument lead to the empirical expectation that liberalization is likely to be associated with the presence of a neoliberal economist as chief of government as well as the formation of a coherent policymaking team of neoliberal economists.
Testing the Hypotheses
Data
The sample is composed of annual data from twenty-nine emerging market economies from 1977 to 1999.31
Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Egypt, El Salvador, Ghana, Guatemala, Honduras, India, Indonesia, Jordan, Malaysia, Mexico, Nigeria, Pakistan, Paraguay, Peru, Philippines, South Africa, Sri Lanka, Thailand, Tunisia, Turkey, Uruguay, and Venezuela.
The use of various lag structures or levels does not significantly alter the results.
Dependent variable
The dependent variable is an index of capital account openness, developed by Chinn and Ito, which indicates the intensity of capital controls across countries.33
Chinn and Ito 2002.
Independent variable: An indicator of a neoliberal economist
To create an indicator of a neoliberal economist, I focus on the importance of professional training and rely on an approach I develop elsewhere.34
Chwieroth 2007a.
University of California at Berkeley, Brown, Carnegie Mellon, Chicago, Harvard, Hebrew University (Israel), Johns Hopkins, New York University, Northwestern, Pennsylvania, Princeton, Stanford, Wisconsin, and Yale.
It is also possible that individuals trained in other leading U.S. economic departments during this time found themselves exposed to ideas about liberalization. However, the conviction these other departments held toward neoclassical understandings was not likely to be as strong as in the departments identified. Moreover, in statistical analyses in which “U.S.-educated” or “Anglo-American educated” is employed the effect is found to be insignificant. This suggests the importance of professional training in specific academic departments.
The earlier theoretical discussion suggests that the key individuals in question are the chief of government and the staff of the national financial and monetary bureaucratic agencies. Ideally, one would examine the entire decision-making tree of these agencies in each country and code the professional training of these individuals. This approach is not feasible, however, as the type of information needed is not available. Alternatively, one can focus on the high-ranking financial and monetary policymakers in each state—the finance minister and the head of the central bank—and code their training. Since these data are available from 1977 to 1999, that is the approach I adopt. The data on educational background were found in Proquest's Digital Dissertations database. Approximately 15 percent of the sample (233 out of 1,549 individuals) was scored as trained in economics at a “neoclassical academic department.”
Aggregating the scores for the finance minister and head of the central bank (where 1 = trained at “neoclassical academic department,” 0 = otherwise) produces the variable labeled neoliberal team. This variable ranges from 0 to 2, with higher values indicating more neoliberals and greater coherence. Consistent with the earlier theoretical discussion, I expect this variable to be positively associated with liberalization. To account for the beliefs of the chief of government, I also construct a similar measure for that position. I also expect this variable to be positively associated with liberalization.
Control variables
A standard set of control variables from the literature is included in the analysis. I rely on annual global foreign borrowing measured in $US billion as a proxy for the constraints from capital mobility. I also examine the possibility that capital account policy decisions are employed as signals to enhance the credibility of a government in the eyes of international financial markets.37
Bartolini and Drazen 1997.
Maxfield 1997.
To proxy the influence of interest groups presumably favoring liberalization, I rely on trade integration as a proportion of gross domestic product (GDP) and domestic money bank assets as a proportion of GDP. Variables indicating the presence of a leftist and rightist government (where 1 = presence, 0 = otherwise) are also included in the model. A measure of central bank independence (cbi)—which is traditionally measured in developing countries based on the average turnover of central bank governors—is also included. I also include a variable indicating the level of democracy.
To provide a proxy for the influence of policy diffusion, I use the mean capital account policy of all emerging markets with the logic being that policymakers are sensitive to policies similar states adopt.39
See Simmons and Elkins 2004.
I also control for economic variables that are commonly featured in the literature: the presence of a fixed exchange rate, gdp per capita, and gross domestic savings as proportion of GDP.40
For a review of the literature, see Eichengreen 2001. I also analyzed variables associated with the transitional costs of liberalization—such as the strength of a country's financial sector and its compensation capacity—but these specifications returned statistically insignificant results and they were dropped from the model. All model specification tests used the Bayesian information criterion. For a discussion of model selection criteria, see Beck and Katz 2004.
Methods
This article relies on time-series cross-sectional (TSCS) data. With these data one must be concerned with issues of heteroskedasticity, contemporaneous correlation, temporal dependence, and unmeasured heterogeneity. Several diagnostic measures are used to mitigate these problems and the results are subjected to sensitivity analysis.
The analysis proceeds in two stages. In the first stage, I specify separate selection equations for the finance minister and central banker to assess whether the appointment of a neoliberal economist is not random. In the second stage, I then employ the procedures Heckman advocates to calculate the inverse Mills ratio from each selection equation to serve as instruments controlling for nonrandom selection in the outcome equation.
The credibility model suggests that politicians are more likely to appoint a neoliberal economist when they face a need for international creditworthiness. As proxies for this need I again use average annual interest rate on private credit minus the Eurodollar or libor, debt service as a proportion of exports, and international reserves as a proportion of imports. I also include the presence of an imf program to test the extent to which politicians feel obliged to appoint neoliberals to serve as their interlocutors with official creditors. To test for processes associated with the political model, I include measures of government partisanship and the presence of a neoliberal chief of government. I also assess the effect of cbi, as an independent central bank may reflect domestic norms favoring free markets and thus low average turnover might increase the likelihood of a neoliberal appointment. Alternatively, international financial markets may interpret a legacy of high average turnover as indicating a lack of policy credibility, thus leading to the appointment of a neoliberal economist to enhance credibility. Political constraints may also shape appointment decisions, as veto players opposed to the government may be able to influence the composition of the policymaking team. In this view, greater opposition might decrease the likelihood a neoliberal is appointed. A measure of the number of veto players and their degree of opposition to the government (checks) is therefore included in the analysis.41
Keefer and Stasavage 2003.
Finally, I also include two economic variables: inflation as measured by the natural log of the GDP deflator and the presence of currency crisis. Each of these variables might enhance the “economic viability” of neoliberalism.42
On an idea's economic viability, see Hall 1989.
I also experimented with models that controlled for each of the political and economic control variables identified earlier. Using decade dummies to account for important differences in the world economy over the course of time, I also estimated models taking into account time effects. None of these specifications returned statistically significant results, and they were dropped from the model.
Since the focus of the first stage of the analysis is on the occurrence (or appointment) of a neoliberal economist—an event that may occur more than once—an event history model that addresses the issue of repeated events is appropriate.44
Box-Steffensmeier and Jones 2004, 157–66.
To deal with the issue of possible unmeasured heterogeneity, I include fixed effects. I also include a lagged dependent variable (LDV) to account for temporal dependence. However, a complication arises in that inclusion of a LDV and fixed effects in the same model can produce biased and inconsistent estimates. Given that such a specification is biased, many alternatives have been proposed. Yet these alternatives tend to be more suitable for panel as opposed to TSCS data. Moreover, the bias is often negligible in TSCS data when a long time series can mitigate against it. Indeed, recent evidence from Monte Carlo simulations suggests that such a specification outperforms alternatives.45
I thus proceed with the analysis using this specification and subject it to sensitivity analysis using two different types of standard errors recommended in the literature: panel-corrected standard errors and robust standards. The results from these specifications are presented in the first and second column of Table 2.Empirical Results and Discussion
Table 1 reports the Cox proportional hazard ratios from the selection equation.46
Hazard ratios can be understood as the change in the odds of an event associated with a one-unit change in the explanatory variable. Therefore, hazard ratios greater than 1 represent an increased probability of an event; of 0 to 1, a decreased probability of an event; and of 1, zero effect.
Covariates of neoliberal appointments, 1977–99
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Covariates of capital account policy, 1977–99
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Support for the credibility model is found in column 1. The results indicate that a one-unit increase in the average central bank turnover renders a politician 2.68 times more likely to appoint a neoliberal economist as finance minister. This finding suggests that politicians faced with neoliberal official and market sentiment may view the appointment of a neoliberal finance minister as offering a substitute for the credibility-enhancing effects that an independent central bank can offer. A legacy of high average central bank turnover may lead politicians to perceive the appointment of a neoliberal finance minister as an easier route to gaining credibility than seeking to push through reforms to strengthen central bank independence. Moreover, a legacy of high average turnover rates can also account for the insignificant coefficient for CBI in column 2. This legacy may lead politicians to have little confidence that the central bank governor—neoliberal or otherwise—will be able to stay the course of politically unpopular policies.
There is also some support for the political model. Domestic opposition in the form of veto players lessens the likelihood of appointing a neoliberal finance minister.47
Additional analysis revealed that this result was not contingent on partisanship or the presence of a neoliberal chief of government. Results are available from the author on request.
Table 2 contains the estimates from the models explaining policy decisions. Noteworthy first are the statistically insignificant selection instruments, indicating that nonrandom selection does not introduce bias.48
Even though specifications without the selection instruments reveal little change in the magnitude or significance of the coefficients, diagnostic tests indicate that the selection instruments should remain in the model.
Coherence also appears important. Independent of the processes leading to their appointment, the coefficients from both models indicate that one additional neoliberal economist in the policymaking team increases capital account openness on the index by .129. To put it differently, one additional neoliberal economist, and hence greater coherence, can be said to decrease the intensity of capital controls by anywhere from 4 to 5 percent. A government with a neoliberal economist serving as finance minister and head of the central bank is thus likely to be approximately 10 percent more liberal in terms of capital account openness when compared to a government without any neoliberal economists.
Interestingly, the coefficient for neoliberal chief of government is insignificant, suggesting that not everyone's ideas matter equally. Domestic political constraints may help account for this finding. As stated, even if a neoliberal economist becomes chief of government he or she still must often confront various political constraints, such as a coalition government, legislative pressures, or opposing societal groups. Whereas a coherent policymaking team helps militate against these constraints, the evidence suggests a neoliberal chief of government cannot overcome these constraints alone and probably often has his or her policy preferences blocked.
Turning to the control variables, increased levels of global foreign borrowing and comparatively higher levels of interest rates are found to significantly increase the likelihood of liberalization. These findings suggest that capital mobility and credibility concerns were probably influential. Yet, it is important to recall that these material trends are socially mediated. Earlier I suggested how the neoliberal consensus may have shaped politicians' perceptions of what constituted a “credible” course of action in the face of declining creditworthiness. In addition, this result could also reflect efforts of neoliberal economists to frame their proposals as the only “credible” policy option given these material conditions. In Argentina in the 1990s, for instance, perceptions and framing were likely to have been at work in President Carlos Menem's decision to support Harvard-educated Domingo Cavallo's recommendations for liberalization.49
The neoliberal consensus may also have shaped politicians' perceptions about the effectiveness of capital controls. A familiar refrain of the neoliberal consensus was that capital controls did not “work” in the context of capital mobility. Yet before the Asian crisis researchers paid little attention to exploring precisely how they did not work. Initial analyses found that controls were ineffective in reducing the volume of capital flows or in helping to manage exchange rate pressures. But few examined their effectiveness beyond these objectives. Some politicians faced with rising capital mobility thus might have liberalized, perceiving the alternatives as unsustainable. Indeed, even those who emphasize the role of capital mobility recognize how “widely shared ideological commitments” and “mind sets” mediated this material trend in such a manner that it facilitated liberalization.50
Andrews 1994, 200–201.
See the summary provided in IMF 2005, 18, 46, 75–76.
The IMF program variable is also found to significantly increase the likelihood of liberalization. Though the IMF never included liberalization as a condition for access to its resources and did not promote such a policy choice indiscriminately, there is evidence the IMF staff did encourage it in some countries and the presence of an IMF program would offer a channel through which these views could be made known.52
IMF 2005.
Kirshner 2003.
Contradicting the expectations of interest group approaches, the coefficient measuring the strength of domestic financial intermediaries is negative and significant. As suggested, this finding is likely because of the uncertainty this group faces about the material benefits and risks that liberalization can bring. Revealingly, partly because of concerns about this uncertainty from financial intermediaries in emerging markets, the Institute of International Finance—the organization located in Washington, D.C., that represents the interests of the private financial community—came down cautiously rather than enthusiastically in its support for capital account liberalization.54
Interview by the author with Charles H. Dallara, managing director of the Institute of International Finance (1993–present), 24 May 2005, Washington, D.C.; and IIF 1997, 2–4, 11, 13.
Conclusions
Detailed case evidence has supported the claim that the role of neoliberal economists is crucial to understanding policy reform. Yet this research has generally failed to assess the relative and independent effect of these economists. Controlling for conventional explanations and accounting for nonrandom selection, I have demonstrated in this study the relative and independent impact of neoliberal economists on capital account policy in emerging markets. I have also shown that the appointment process of these economists is likely to be driven by credibility concerns and political interests, which in turn are conditioned by the social environment in which appointments are situated.
This study, however, is not without limitations. While the methods employed are ideally suited for examining the independent effect of neoliberal economists, they are less amenable to answering questions as to how they mattered. Such an examination, however, is beyond the scope of this article. Here, the rich evidence case studies can provide in tracing these processes should prove quite useful in sorting out the relative importance of persuasion, negotiation, political and economic incentives, and the role of official and market sentiment.
Despite these limitations, the findings are robust and hold two important implications. First, the results suggest that existing explanations of capital account liberalization are incomplete. Even taken together current explanations cannot fully account for the wave of liberalization, as they neglect the complementary role of ideas. The results are highly suggestive that neoliberal economists—who have yet to receive systematic attention in the literature—were critical in shaping capital account policy decisions in emerging markets. By addressing and demonstrating the role of these economists, this article offers a fuller understanding of liberalization in emerging markets.
Second, the results suggest the conclusion that economists are an important conduit through which ideas diffuse and are implemented into policy. Much previous research has employed case studies and anecdotal evidence to conclude that neoclassically trained economists are an important mechanism for policy diffusion. Yet these conclusions have not been systematically tested and have been for the most part neglected by the recent wave of diffusion research.55
See, for instance, Simmons, Garrett, and Dobbin 2006.
Appendix
Summary statistics
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Data sources
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