Evading the Patronage Trap

Why have Latin American democracies proven unable to confront the structural inequalities that cripple their economies and stymie social mobility? Brian Palmer-Rubin contends that we may lay the blame on these countries’ systems of interest representation, which exhibit “biased pluralism,” a system in which the demands of organizations representing economic elites—especially large corporations—predominate. A more inclusive model of representation would not only require a more encompassing and empowered set of institutions to represent workers, but would also feature spaces for non-eliteproducers—such as farmers and small-business owners to have a say in sectoral economic policies. With analysis drawing on over 100 interviews, an original survey, and official government data, this book focuses on such organizations and develops an account of biased pluralism in developing countries typified by the centrality of patronage—discretionarily allocated state benefits. Rather than serving as conduits for demand-making about development models, political parties and interest organizations often broker state subsidies or social programs, augmenting the short-term income of beneficiaries, but doing little to improve their long-term economic prospects. When organizations become diverted into patronage politics, the economic demands of the masses go unheard in the policies that most affect their lives, and along the way, their economic interests go unrepresented

Incentives for Organizational Participation: A Recruitment Experiment in Mexico

While the presence of a strong civil society is recognized as desirable for democracies, an important question is what motivates citizens to join organizations. This article presents novel experimental evidence on the conditions under which citizens join interest organizations. We presented 1,400 citizens in two Mexican states with fliers promoting a new local interest organization. These fliers contain one of four randomly selected recruitment appeals. We find evidence that both brokerage of state patronage and demand-making for local public goods are effective recruitment appeals. The effect for patronage brokerage is especially pronounced among respondents with prior organizational contact, supporting our hypothesis of a “particularistic socialization” effect wherein organizational experience is associated with greater response to selective material benefits. Our findings suggest that under some conditions, rather than generating norms of other-regarding, interest organizations can reinforce members’ individualistic tendencies

What information do citizens want? Evidence from one million information requests in Mexico

While scholars have emphasized the importance of information for accountability, little research has addressed the demand for government information by real citizens. We study the totality of information requests filed with Mexican federal government agencies from 2003 to 2015, over 1 million requests in all. We use unsupervised methods to categorize requests, revealing the diversity of topics including environment, security, budgets, and government procurement and employees. While many topics have clear public accountability-seeking purposes, others are focused on more private, micro-political goals. Analysis over time and across states reveals linkage between information demand and issues of public interest such as environmental impacts and criminal violence. Our results demonstrate that, given functioning access-to-information institutions, citizens in a transitional democracy really do demand information relevant to public accountability

The political logic of government disclosure: evidence from information requests in Mexico

When citizens ask questions, how does their government answer? Requests for government information confront officials with incentives both for and against disclosure. We argue that officials seek to manage political risks in ways that favor requests from government-aligned regions. We study responsiveness in the context of Mexico’s access-to-information law, using publicly available data from several hundred thousand information requests filed with Mexican federal government agencies between 2003 and 2015. Our empirical strategy makes comparisons only among requests sent to similar agencies on similar topics at similar times, while accounting for the complexity, sophistication, and sensitivity of individual requests. We find that requests filed from locales with higher governing-party vote shares receive more favorable responses, across multiple indicators of the nature and timing of responses. Further, we find bias only for requests on publicly relevant topics, providing evidence in favor of a mechanism of mitigating political risks over one of rewarding supporters with greater access to benefits

Media attention and bureaucratic responsiveness

How does media attention shape bureaucratic behavior? We answer this question using novel data from the Mexican federal government. We first develop a new indicator for periods of anomalously heightened media attention, based on 150,000 news articles pertaining to 22 Mexican government ministries and agencies, and qualitatively categorize their themes. We then evaluate government responsiveness using administrative data on roughly 500,000 requests for government information over a 10-year period, with their associated responses. A panel fixed-effects approach demonstrates effects of media attention on the volume of outgoing weekly responses, while a second approach finds effects on the “queue” of information requests already filed when anomalous media attention begins. Consistent across these empirical approaches, we find that media attention shapes bureaucratic behavior. Positive or neutral attention is associated with reduced responsiveness, while the effects of negative attention vary, with attention to government failures leading to increased responsiveness but attention to corruption leading to reduced responsiveness. These patterns are consistent with mechanisms of reputation management, disclosure threat, and workload burden, but inconsistent with mechanisms of credit claiming or blame avoidance

Multi-label prediction for political text-as-data

Political scientists increasingly use supervised machine learning to code multiple relevant labels from a single set of texts. The current "best practice"of individually applying supervised machine learning to each label ignores information on inter-label association(s), and is likely to under-perform as a result. We introduce multi-label prediction as a solution to this problem. After reviewing the multi-label prediction framework, we apply it to code multiple features of (i) access to information requests made to the Mexican government and (ii) country-year human rights reports. We find that multi-label prediction outperforms standard supervised learning approaches, even in instances where the correlations among one's multiple labels are low

Measuring human rights abuse from access to information requests

Existing measures of human rights abuses are often only available at the country-year level. Several more fine-grained measures exhibit spatio-temporal inaccuracies or reporting biases due to the primary sources upon which they rely. To address these challenges, and to increase the diversity of available human rights measures more generally, this study provides the first quantitative effort to measure human rights abuses from textual records of citizen-government interactions. Using a dataset encompassing over 1.5 million access-to-information (ATI) requests made to the Mexican federal government from June 2003 onward, supervised classification is used to identify the subset of these requests that pertain to human rights abuses of various types. The results from this supervised machine learning exercise are validated against (i) gold standard ATI requests pertaining to past human rights abuses in Mexico and (ii) several accepted external measures of sub-national and sub-annual human rights abuses. In doing so, we demonstrate that the measurement of human rights abuses from citizen-submitted ATI request texts can provide measures of human rights abuse that exhibit both high validity and notable spatio-temporal specificity, relative to existent human rights datasets and variables

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms