Is Trump Administration Corruption a Winning Issue for Democrats this November?

Posted on April 10, 2018 by Matthew Stephenson

The corruption of the Trump administration is bad news for the United States—will it also prove to be bad news (politically) for Trump’s Republican Party allies? A number of astute political commentators have recently argued that the answer is yes. Most notably, Jonathan Chait published an article last week making the case that “corruption … is Trump’s greatest political liability,” and that even though Trump himself is not on the ballot in the 2018 midterm elections, it would be wise politics for the Democrats to focus on the corruption of the Trump administration in their quest to retake one or both chambers of Congress.

Chait notes, as an initial matter, that despite Trump’s historic unpopularity, Democrats face two interrelated challenges: First, there’s just so much negative news about Trump—from the Russia investigation to his racism and misogyny to the lurid revelations regarding his crude attempts to cover up an affair with an adult film actress—that it’s hard to focus on any one thing. Second, and more importantly, the majority of Trump’s supporters already knew back when they voted for him that he was a crass, crude, adulterous bully and bigot–which means that pointing out his infidelity, his bullying, and his bigotry now isn’t likely to have much impact. (The Russia investigation is another matter, but Chait suggest that it’s too abstract and complex for most voters.) Corruption, according to Chait, is the one story that could move the needle, even with Trump supporters. Chait’s reasoning (presented in a somewhat different order from his original article) runs as follows: Continue reading →

“Petty” Corruption Isn’t Petty

Posted on December 29, 2017 by Jacob Steiner

Grand corruption attracts plenty of attention—from activists, the mainstream media, and other commentators (including on this blog)—and for good reason. While the media may simply be riveted by the decadent lifestyles of corrupt actors, the anticorruption community has increasingly recognized the devastating impact that kleptocrats and their cronies can have. No doubt, this attention to grand corruption is welcome and recent successes in fighting it are laudable. At the same time, though, this increased focus on grand corruption carries with it the risk of making smaller, more everyday forms of corruption—sometimes called “petty” corruption—seem less consequential.

Yet so-called “petty” corruption remains widespread, and its aggregate impact should not be underestimated. By way of example, consider the most recent results from the Transparency International (TI) Global Corruption Barometer (GCB) survey of citizens in Latin America and the Caribbean, which found that one-third of people who used a public service paid a bribe in order to do so. In other words, for these 90 million people, their ability to access a government service to which they were entitled was conditioned upon an extralegal payment—and that’s just accounting for this one region.

Even as the anticorruption community rightly focuses attention on combatting grand corruption, we can’t forget the real havoc wreaked by smaller-scale corruption. So-called “petty” corruption is not a petty concern. Rather, it’s a serious, pervasive problem that deserves just as much sustained attention as does politicians buying collector cars and oceanfront properties with assets from their secret offshore bank accounts. At the risk of repeating familiar points, it’s worth reviewing the ways in which small-scale corruption has, cumulatively, a range of incredibly destructive effects:

Continue reading →

Guest Post: Going Beyond Bribery? Improving the Global Corruption Barometer

Posted on November 2, 2017 by Matthew Stephenson

Coralie Pring, Research Expert at Transparency International, contributes today’s guest post:

Transparency International has been running the Global Corruption Barometer (GCB) – a general population survey on corruption experience and perception – for a decade and a half now. Before moving ahead with plans for the next round of the survey, we decided to review the survey to see if we can improve it and make it more relevant to the current corruption discourse. In particular, we wanted to know whether it would be worthwhile to add extra questions on topics like grand corruption, nepotism, revolving doors, lobbying, and so forth. To that end, we invited 25 academics and representatives from some of Transparency International’s national chapters to a workshop last October to discuss plans for improving the GCB. We initially planned to focus on what we thought would be a simple question: Should we expand the GCB survey to include questions about grand corruption and political corruption?

In fact, this question was nowhere near simple to answer and it really divided the group. (Perhaps this should have been expected when you get 25 researchers in one room!) Moreover, the discussion ended up focusing less on our initial query about whether or how to expand the GCB, and more on two more basic questions: First, are citizen perceptions of corruption reflective of reality? And second, can information about citizen corruption perceptions still be useful even if they are not accurate?

Because these debates may be of interest to many of this blog’s readers, and because TI is still hoping to get input from a broader set of experts on these and related questions, we would like to share a brief summary of the workshop exchange on these core questions. Continue reading →

Another Way To Improve the Accuracy of Corruption Surveys: The Crosswise Model

Posted on October 10, 2017 by Matthew Stephenson

Today’s post is yet another entry in what I guess has become a mini-series on corruption experience surveys. In the first post, from a few weeks back, I discussed the question whether, when trying to assess and compare bribery prevalence across jurisdictions using such surveys, the correct denominator should be all respondents, or only those who had contact with government officials. That post bracketed questions about whether respondents would honestly admit bribery in light of the “social desirability bias” problem (the reluctance to admit, even on an anonymous survey, that one has engaged in socially undesirable activities). My two more recent posts have focused on that problem, first criticizing one of the most common strategies for mitigating the social desirability bias problem (indirect questioning), and then, in last week’s post, trying to be a bit more constructive by calling attention to one potentially more promising solution, the so-called unmatched count technique (UCT), also known as the item count technique or list method. Today I want to continue in that latter vein by calling attention to yet another strategy for ameliorating social desirability bias in corruption surveys: the “crosswise model.”

As with the UCT, the crosswise model was developed outside the corruption field (see here and here) and has been deployed in other areas, but it has only recently been introduced into survey work on corruption. The scholars responsible for pioneering the use of the crosswise model in the study of corruption are Daniel Gingerich, Virginia Oliveros, Ana Corbacho, and Mauricio Ruiz-Vega, in (so far) two important papers, the first of which focuses primarily on the methodology, and the second of which applies the method to address the extent to which individual attitudes about corruption are influenced by beliefs about the extent of corruption in the society. (Both papers focus on Costa Rica, where the survey was fielded.) Those who are interested should check out the original papers by following the links above. Here I’ll just try to give a brief, non-technical flavor of the technique, and say a bit about why I think it might be useful not only for academics conducting their particular projects, but also for organizations that regularly field more comprehensive surveys on corruption, such as Transparency International’s Global Corruption Barometer.

The basic intuition behind the crosswise model is actually fairly straightforward, though it might not be immediately intuitive to everyone. Here’s the basic idea: Continue reading →

Using the Unmatched Count Technique (UCT) to Elicit More Accurate Answers on Corruption Experience Surveys

Posted on October 3, 2017 by Matthew Stephenson

With apologies to those readers who couldn’t care less about methodological issues associated with corruption experience surveys, I’m going to continue the train of thought I began in my last two posts (here and here) with further musings on that theme—in particular what survey researchers refer to as the “social desirability bias” problem (the reluctance of survey respondents to truthfully answer questions about sensitive behaviors like corruption). Last week’s post emphasized the seriousness of this concern and voiced some skepticism about whether one of the most common techniques for addressing it (so-called “indirect questioning,” in which respondents are asked not about their own behavior but about the behavior of people “like them” or “in their line of business”) actually works as well as is commonly assumed.

We professors, especially those of us who like to write blog posts, often get a bad rap for criticizing everything in sight but never offering any constructive solutions. The point is well-taken, and while I can’t promise to lay off the criticism, in today’s post I want to try to be at least a little bit constructive by calling attention to a promising alternative approach to mitigating the social desirability bias problem in corruption experience surveys: the unmatched count technique (UCT), sometimes alternatively called the “item count” or “list” method. This approach has been deployed occasionally by a few academic researchers working on corruption, but it hasn’t seemed to have been picked up by the major organizations that field large-scale corruption experience surveys, such as Transparency International’s Global Corruption Barometer (GCB), the World Bank’s Enterprise Surveys (WBES), or the various regional surveys (like AmericasBarometer or Afrobarometer). So it seemed worthwhile to try to draw more attention to the UCT. It’s by no means a perfect solution, and I’ll say a little bit more about costs and drawbacks near the end of the post. But the UCT is nonetheless worth serious consideration, both by other researchers designing their own surveys for individual research projects, and by more established organizations that regularly field surveys on corruption experience.

The way a UCT question works is roughly as follows: Continue reading →

Can Indirect Questioning Induce Honest Responses on Bribery Experience Surveys?

Posted on September 26, 2017 by Matthew Stephenson

As I noted in my last post, bribery experience surveys – of both firms and citizens – are increasingly popular as a tool not only for testing hypotheses about corruption’s causes and effects, but for measuring the effectiveness of anticorruption policies, for example in the context of assessing progress toward the Sustainable Development Goals’ anticorruption targets. Bribery experience surveys are thought to have a number of advantages over perception-based indicators, greater objectivity chief among them.

I certainly agree that bribery experience surveys are extremely useful and have contributed a great deal to our understanding of corruption’s causes and effects. They’re not perfect, but no indicator is; different measures have different strengths and weaknesses, and we just need to use caution when interpreting any given set of empirical results. In that spirit, though, I do think the anticorruption community should subject these experience surveys to a bit more critical scrutiny, comparable to the extensive exploration in the literature of the myriad shortcomings of corruption perception indicators. In last week’s post, I focused on the question of the correct denominator to use when calculating bribery victimization rates – all citizens, or all citizens who have had (a certain level of) contact with the bureaucracy? Today I want to focus on a different issue: What can we do about the fact that survey respondents might be reluctant to answer corruption questions truthfully?

The observation that survey respondents might be reluctant to truthfully answer questions about their personal bribery experience is neither new nor surprising. Survey respondents confronted with sensitive questions often have a tendency to give the answer that they think they “should” give (or that they think the interviewer wants to hear); social scientists call this tendency “social desirability bias.” There’s quite robust evidence that social desirability bias affects surveys on sensitive topics, including corruption; even more troubling, the available evidence suggests that social desirability bias on corruption surveys is neither constant nor randomly distributed, but rather varies across countries and regions. This means that apparent variations in bribery experience rates might actually reflect variations in willingness to truthfully answer questions about bribery experience, rather than (or in addition to) variations in actual bribery experience (see here, here, and here).

So, what can we do about this problem? Existing surveys use a range of techniques. Here I want to focus on one of the most popular: the “indirect questioning” approach. The idea is that instead of asking a respondent, “How much money does your firm have to spend each year on informal payments to government officials?”, you instead ask, “How much money does a typical firm in your line of business have to spend each year on informal payments to government officials?” (It’s perhaps worth noting that the indirect questioning method seems more ubiquitous in firm/manager surveys; many of the most prominent household surveys, such as the International Crime Victims Survey and the Global Corruption Barometer, ask directly about the household’s experience rather than asking about “households like yours.”) The hope is that asking the question indirectly will reduce social desirability bias, because the respondent doesn’t have to admit that he or she (or his or her firm) engaged in illegal activity.

Is that hope justified? I don’t doubt that indirect questioning helps to some extent. But I confess that I’m skeptical, on both theoretical and empirical grounds, that indirect questioning is the silver bullet solution for social desirability bias that some researchers seem to suggest that it is. Continue reading →

Measurement Brings Action: The Need for a Global Sexual Corruption Index

Posted on March 21, 2016 by Sarah Gitlin

Sexual corruption is a scourge, to varying degrees, in almost every country–from immigration officials demanding sex for green cards, to U.N. soldiers using their power to force themselves on refugees or the local population they are supposed to be protecting, to police officers who demand sex in exchange for not arresting someone. The International Association of Women Judges has been trying to bring attention to this “sextortion” problem, with some limited success: Transparency International (TI) describes sextortion as a form of corruption, and last September’s International Anti-Corruption Conference devoted a high-profile session to discussing this issue.

Yet despite this increasing recognition that this sort of sexual corruption is indeed corruption–the abuse of public power for private gain–the major international indexes used to measure corruption, such as TI’s corruption perception index (CPI) (and the underlying studies used to generate the CPI), focus overwhelmingly on material corruption–principally monetary bribery and embezzlement–not the abuse of public power to extort sexual favors from victims. This is a problem: As we have seen over and over again (both in the corruption context, and in other contexts such as the Millennium Development Goals (MDGs)), for better or worse, national-level country ratings drive action. Right now, a country that wishes to improve its global standing on corruption currently has little incentive to tackle sexual corruption. And there is no separate, easy-to-understand metric that calls attention to how well (or poorly) countries are doing, relative to one another, in addressing that problem.

It is time for that to change. It is time to create a Global Sexual Corruption Index. Continue reading →

Guest Post: A New Additional Indicator for Measuring Progress Toward SDG 16

Posted on January 28, 2016 by Matthew Stephenson

GAB is delighted to welcome back Dieter Zinnbauer, Programme Manager at Transparency International, who contributes the following guest post:

A very interesting discussion has evolved on this blog (see here, here, here, and here), and in the wider world (for example, see here), on about the indicators that should be used to measure progress toward the Sustainable Development Goals (SDGs) goals for improving governance and reducing corruption (Goal 16). There are already some very good suggestions on the table, including the use of Transparency International’s Global Corruption Barometer (GCB) to measure progress toward Target 16.5, on reducing corruption and bribery in all their forms. (TI has used the GCB since 2005 to compile one of the largest data troves on the detailed experience with corruption of households and individuals around the world. Using a GCB-type indicator for the bribery dimension of SDG 16.5 is supported by a wide variety of stakeholders, including the World Bank, UNDP, and Save the Children.)

Yet most of the indicators proposed so far, including the GCB, speak to very specific aspects of corruption (such as bribery) and don’t quite do justice to Goal 16’s broad ambitions and its emphasis on public accountability. So to spice up this stew a bit, let me suggest another possible indicator, one that complement to some of the ideas that are already on the table. My proposed indicator of progress toward SDG 16 is as follows:

What percentage of national-level parliamentarians (and perhaps top level members of the executive) have made assets, income, and interest disclosures (AIIDs) in a format that is publicly accessible online at sufficient level of detail, in timely manner, and in a machine-readable data format.

Using AIID as an additional SDG 16 indicator might at first seem to be a step backwards, since such an indicator measures “outputs” rather than “outcomes.” But let me try to convince you that in fact AIID would be an extremely useful complementary indicator for progress toward SDG 16: Continue reading →

GAB | The Global Anticorruption Blog

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Tag Archives: Global Corruption Barometer

Is Trump Administration Corruption a Winning Issue for Democrats this November?

“Petty” Corruption Isn’t Petty

Measurement Brings Action: The Need for a Global Sexual Corruption Index

Guest Post: A New Additional Indicator for Measuring Progress Toward SDG 16

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