A Review of the Evidence on Open Budgeting

Brand new.

“A Review of the Evidence on Open Budgeting” is a recent report by the World Bank Institute’sCapacity Development and Results team. It explores key questions and existing evidence around the impact of open budgeting. Despite the growing body of literature, there remains limited substantiation for whether and how open budgeting contributes to reductions in poverty and improvements in the lives of the poor. This report pieces together the results chain presenting evidence for and against from the literature. It explores links between open budgeting and indicators of impact such as human development and public service delivery. The findings highlight the importance of measuring budget transparency, accountability, and participation. The findings show that the impact of institutional changes differ under varying conditions in specific contexts. The conclusions of the report point to the need for further investigation into impact and establishing effective measurement practices for monitoring related institutional change under varying conditions and different contexts.”

You can download the report here [PDF].

Has Democratization Reduced Infant Mortality in Sub-Saharan Africa?

Evidence suggests it has. Excerpts from paper by Masayuki Kudamatsu:

Does democracy promote development? Despite a large number of empirical studies of this question, the evidence remains inconclusive since it is difficult to establish causality running from democracy to development: democracy is likely to be endogenous to socio-economic factors that also affect development (Lipset 1959). As democracy at the national level is clearly not randomly assigned across countries, the empirical challenge is to disentangle the effect of democracy from other confounding factors to the largest possible extent. This paper revisits this question in the context of human development in sub-Saharan Africa. Specifically, I investigate whether the democratization sweeping the region in the 1990s has reduced infant mortality.

(…)

My findings are as follows. After democratization in sub-Saharan Africa since 1990, infant mortality drops by 1.2 percentage points (12% of the sample mean). This result is robust to controlling for country-specific linear trends in the birth year of babies, country-specific birth-order dummies, country-specific quadratic trends in the mother’s age at birth, and country-level covariates such as per capita GDP, the incidence of wars, and the amount of foreign aid. Except for a couple of outlying cases, there is no such reduction in infant mortality in countries where the dictator holds multiparty elections and stays in power by winning them or where leadership change takes place in a nondemocratic way.

Kudamatsu, M. (2012). Has Democratization Reduced Infant Mortality in Sub-Saharan Africa? Evidence from Micro Data. Journal of the European Economic Association10(6), 1294-1317. [PDF] 

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Also read:

Does Democracy Improve the Quality of Life for its Citizens? 

Open Government and Democracy

The Problem with Theory of Change

picture by skreened.com

If you are working in the fields of development or governance it’s highly likely that you’ve come across the term “theory of change” (ToC). At a conference a couple of weeks ago, while answering some questions, I mentioned that I preferred not to use the term. The comment didn’t go unnoticed by some witty observers on Twitter, and I was surprised by the number of people who came to me afterwards asking why I do not “like” theory of change.

I can see why some people are attracted to the term. First, “change” is a powerful word: it even helps win elections. And when it comes to governance issues, the need for change is almost a consensus. Second, the user of the word “theory” gives scientific verve to the conversation. However, the problem is precisely the appropriateness of its use if one thinks of the word in scientific terms. It seems that people are saying “theory” when they actually mean (at best) “hypothesis”.

We don’t have to go very far to find out what scientific theory actually is. Keeping to information that is just a click away, let’s take one of the definitions reproduced in Wikipedia’s entry for “theory”:

A scientific theory is a well-substantiated explanation of some aspect of the natural world, based on a body of facts that have been repeatedly confirmed through observation and experiment. Such fact-supported theories are not “guesses” but reliable accounts of the real world.

 Or “scientific theory”:

A theory is a good theory if it satisfies two requirements: It must accurately describe a large class of observations on the basis of a model that contains only a few arbitrary elements, and it must make definite predictions about the results of future observations.

 And here’s a rap video on the difference between theory and hypothesis:

Granted, the word “theory” is often used as a synonym of “hypothesis”, and even dictionaries do so. But the problem of this in the context of current usages of “theory of change” is that it masks the difference between what we know and do not know about something, often conveying a false sense of scientific rigor. And, particularly when it comes to issues such as development and governance, it is extremely important to have a clear distinction between well-substantiated explanations and every other color of hypotheses, assumptions, and guesses. In fact, in any field, it is a minimal requirement for the production of knowledge.

So here’s an interesting exercise. Search on the web for the use of “theory of change” combined with terms like “accountability” and “open government.” Find, for yourself, which ones are really “theories of change” or, rather, merely “hunches of change.”

Most likely, people will keep using theory of change indiscriminately until the next flavor of the moment comes up. In the meantime, beware.

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Also read: Open Government, Feedback Loops and Semantic Extravaganza

Participation, Transparency and Accountability: Innovations in South Korea, Brazil, and the Philippines

A report by Brian Wampler for the Global Initiative for Fiscal Transparency (GIFT):

Citizen participation in budgetary and other fiscal processes has been expanding at international, national, and local levels over the past 15 years. The direct participation of citizens, it is hoped, will improve governance, limit misuse of public funds, and produce more informed, engaged citizens. At the national level, reformist governments now encourage the direct engagement of citizens during multiple moments of the policy cycle—from initial policy formulation to the oversight of policy implementation. Reformist governments hope to take advantage of increased citizen participation to increase their legitimacy, thus allowing them to change spending and policy priorities, increase state effectiveness by make public bureaucrats more responsive to citizens and elected officials, and, finally, ensure that the quality of public services improves. During the 1980s and 1990s, many subnational governments took advantage of policy decentralization to experiment with new institutional types. Direct citizen participation has been most robust at subnational levels due to the decreased costs and the greater direct impact of citizens on policymaking.

(….)

The main purpose of this report is to examine how three countries, South Korea, Brazil, and the Philippines, have made extensive efforts to create new institutions and policies that encourage the participation of citizens and CSOs in complex policy processes. South Korea developed an institutional arrangement based on policy experts, CSOs, and the Korean Development Institute. Brazil uses a model that relies extensively on the participation of citizens at multiple tiers of government. Finally, the Philippines use a mixed model that incorporates citizens and CSOs at national and subnational levels

(….)

Political reformers seeking to incorporate greater numbers of people into policymaking venues face a series of challenges. These include: (1) asymmetrical access to information as well as differing skills base to interpret information; (2) the difficultly of decision-making when groups grow in size; (3) a reduction in the importance of any single participant due to the greater number of participants; (4) political contestation over who has the right to participate; (5) who are the legitimate representatives of different groups; and (6) higher organizational costs (time, money, personnel). This report maps out how new participatory institutions and programs that are designed to help governments and their civil society allies draw citizens directly into decision-making processes.To explain the variation in the type of participatory experiences now used by different countries,we identify four factors that most strongly affect the types of participation-oriented reforms as well as the results. These four factors include: (a) presidential-level support for reform, (b) the configuration of civil society, (c) state capacity and (d) the geo-political direction of reform (topdown/center –periphery vs. bottom-up/periphery/center. It is the combination of these four factors that most strongly explains the type of institutions adopted in each of these countries.

Read the full report here [PDF]. 

When Citizen Engagement Saves Lives (and what we can learn from it)

When it comes to the relationship between participatory institutions and development outcomes, participatory budgeting stands out as one of the best examples out there. For instance, in a paper recently published in World Development,  Sonia Gonçalves finds that municipalities that adopted participatory budgeting in Brazil “favoured an allocation of public expenditures that closely matched the popular preferences and channeled a larger fraction of their total budget to key investments in sanitation and health services.”  As a consequence, the author also finds that this change in the allocation of public expenditures “is associated with a pronounced reduction in the infant mortality rates for municipalities which adopted participatory budgeting.”

Evolution of Expenditure Share in Health and Sanitation compared between adopters and non-adopters of PB (Goncalves 2013).

Evolution of  the share of expenditures in health and sanitation compared between adopters and non-adopters of participatory budgeting (Goncalves 2013).

Now, in an excellent new article published in Comparative Political Studies, the authors Michael Touchton and Brian Wampler come up with similar findings (abstract):

We evaluate the role of a new type of democratic institution, participatory budgeting (PB), for improving citizens’ well-being. Participatory institutions are said to enhance governance, citizens’ empowerment, and the quality of democracy, creating a virtuous cycle to improve the poor’s well-being. Drawing from an original database of Brazil’s largest cities over the last 20 years, we assess whether adopting PB programs influences several indicators of well-being inputs, processes, and outcomes. We find PB programs are strongly associated with increases in health care spending, increases in civil society organizations, and decreases in infant mortality rates. This connection strengthens dramatically as PB programs remain in place over longer time frames. Furthermore, PB’s connection to well-being strengthens in the hand of mayors from the nationally powerful, ideologically and electorally motivated Workers’ Party. Our argument directly addresses debates on democracy and well-being and has powerful implications for participation, governance, and economic development.

When put together, these findings provide compelling evidence for those who – often unfamiliar with the literature – question the effectiveness of participatory governance institutions. Surely, more research is needed, and different citizen engagement initiatives (and contexts) may lead to different results.

But these articles also bring another important takeaway for those working with development and public sector reform. And that is the need to consider the fact that participatory institutions (as most institutional reforms) may take time to produce desirable/noticeable effects. As noted by Touchton and Wampler:

 The relationships we describe between PB and health and sanitation spending, PB and CSOs, and PB and health care outcomes in this section are greater in magnitude and stronger in statistical significance for municipalities that have used PB for a longer period of time. Municipalities using PB for less than 4 years do exhibit lower infant mortality rates than municipalities that never adopted PB. However, there is no statistically significant difference in spending on health care and sanitation between municipalities using PB for less than 4 years and municipalities that never adopted the program. This demonstrates the benefits from adopting PB are not related to low-hanging fruit, but built over a great number of years. Our results imply PB is associated with long-term institutional and political change—not just short-term shifts in funding priorities .

If throughout the years participatory budgeting has produced  evidence of its effectiveness on a number of fronts (e.g. pro-poor spending), it is only 25 years after its first implementation in Brazil that we start to see systematic evidence of sound development outcomes such as reduction in infant mortality. In other words, rushing to draw conclusions at early stages of participatory governance interventions may result in misleading assessments. Even worse, it may lead to discontinuing efforts that are yet to bear fruit in the medium and longer terms.

10 Most Read Posts in 2013

Below is a selection of the 10 most read posts at DemocracySpot in 2013. Thanks to all of those who stopped by throughout the year, and happy 2014.

1. Does transparency lead to trust? Some evidence on the subject.

2. The Foundations of Motivation for Citizen Engagement

3. Open Government, Feedback Loops, and Semantic Extravaganza

4. Open Government and Democracy

5. What’s Wrong with e-Petitions and How to Fix them

6. Lawrence Lessig on Sortition and Citizen Participation

7. Unequal Participation: Open Government’s Unresolved Dilemma

8. The Effect of SMS on Participation: Evidence from Uganda

9. The Uncertain Relationship Between Open Data and Accountability

10. Lisbon Revisited: Notes on Participation

Rethinking Why People Participate

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Having a refined understanding of what leads people to participate is one of the main concerns of those working with citizen engagement. But particularly when it comes to participatory democracy, that understanding is only partial and, most often, the cliché “more research is needed” is definitely applicable. This is so for a number of reasons, four of which are worth noting here.

  1. The “participatory” label is applied to greatly varied initiatives, raising obvious methodological challenges for comparative research and cumulative learning. For instance, while both participatory budgeting and online petitions can be roughly categorized as “participatory” processes, they are entirely different in terms of fundamental aspects such as their goals, institutional design and expected impact on decision-making.
  2. The fact that many participatory initiatives are conceived as “pilots” or one-off events gives researchers little time to understand the phenomenon, come up with sound research questions, and test different hypotheses over time.  The “pilotitis” syndrome in the tech4accountability space is a good example of this.
  3. When designing and implementing participatory processes, in the face of budget constraints the first victims are documentation, evaluation and research. Apart from a few exceptions, this leads to a scarcity of data and basic information that undermines even the most heroic “archaeological” efforts of retrospective research and evaluation (a far from ideal approach).
  4. The semantic extravaganza that currently plagues the field of citizen engagement, technology and open government makes cumulative learning all the more difficult.

Precisely for the opposite reasons, our knowledge of electoral participation is in better shape. First, despite the differences between elections, comparative work is relatively easy, which is attested by the high number of cross-country studies in the field. Second, the fact that elections (for the most part) are repeated regularly and following a similar design enables the refinement of hypotheses and research questions over time, and specific time-related analysis (see an example here [PDF]). Third, when compared to the funds allocated to research in participatory initiatives, the relative amount of resources channeled into electoral studies and voting behavior is significantly higher. Here I am not referring to academic work only but also to the substantial resources invested by the private sector and parties towards a better understanding of elections and voting behavior. This includes a growing body of knowledge generated by get-out-the-vote (GOTV) research, with fascinating experimental evidence from interventions that seek to increase participation in elections (e.g. door-to-door campaigns, telemarketing, e-mail). Add to that the wealth of electoral data that is available worldwide (in machine-readable formats) and you have some pretty good knowledge to tap into. Finally, both conceptually and terminologically, the field of electoral studies is much more consistent than the field of citizen engagement which, in the long run, tends to drastically impact how knowledge of a subject evolves.

These reasons should be sufficient to capture the interest of those who work with citizen engagement. While the extent to which the knowledge from the field of electoral participation can be transferred to non-electoral participation remains an open question, it should at least provide citizen engagement researchers with cues and insights that are very much worth considering.

This is why I was particularly interested in an article from a recently published book, The Behavioral Foundations of Public Policy (Princeton). Entitled “Rethinking Why People Vote: Voting as Dynamic Social Expression”, the article is written by Todd Rogers, Craig Fox and Alan Berger. Taking a behavioralist stance, the authors start by questioning the usefulness of the rationalist models in explaining voting behavior:

“In these [rationalist] models citizens are seen as weighing the anticipated trouble they must go through in order to cast their votes, against the likelihood that their vote will improve the outcome of an election times the magnitude of that improvement. Of course, these models are problematic because the likelihood of casting in the deciding vote is often hopelessly small. In a typical state or national election, a person faces a higher probability of being struck by a car on the way to his or her polling location than of casting the deciding vote.”

(BTW, if you are a voter in certain US states, the odds of being hit by a meteorite are greater than those of casting the deciding vote).

Following on from the fact that traditional models cannot fully explain why and under which conditions citizens vote, the authors develop a framework that considers voting as a “self-expressive voting behavior that is influenced by events occurring before and after the actual moment of casting a vote.” To support their claims, throughout the article the authors build upon existing evidence from GOTV campaigns and other behavioral research. Besides providing a solid overview of the literature in the field, the authors express compelling arguments for mobilizing electoral participation. Below are a few excerpts from the article with some of the main takeaways:

  • Mode of contact: the more personal it is, the more effective it is

“Initial experimental research found that a nonpartisan face-to-face canvassing effort had a 5-8 percentage point mobilizing effect in an uncontested midterm elections in 1998 (Gerber and Green 2000) compared to less than a 1 percentage point mobilizing effect for live phone calls and mailings. More than three dozen subsequent experiments have overwhelmingly supported the original finding (…)”

“Dozens of experiments have examined the effectiveness of GOTV messages delivered by the telephone. Several general findings emerge, all of which are consistent with the broad conclusion that the more personal a GOTV strategy, the more effective. (…) the most effective calls are conducted in an unhurried, “chatty manner.”

“The least personal and the least effective GOTV communication channels entail one way communications. (…) written pieces encouraging people vote that are mailed directly to households have consistently been shown to produce a mall, but positive, increase in turnout.”

  • Voting is affected by events before and after the decision

“One means to facilitate the performance of a socially desirable behavior is to ask people to predict whether they will perform the behavior in the future. In order to present oneself in a favorable light or because of wishful thinking or both, people are generally biased to answer in the affirmative. Moreover, a number of studies have found that people are more likely to follow through on a behavior after they predicted that they will do so (….) Emerging social-networking technologies provide new opportunities for citizens to commit to each other that they will turnout in a given election. These tools facilitate making one’s commitments public, and they also allow for subsequently accountability following an election (…) Asking people to form a specific if-then plan of action, or implementation intention, reduces the cognitive costs of having to remember to pursue an action that one intends to perform. Research shows that when people articulate the how, when and where of their plan to implement an intended behavior, they are more likely to follow through.”

(Not coincidentally, as noted by Sasha Issenberg in his book The Victory Lab, during the 2010 US presidential election millions of democrats received an email reminding them that they had “made a commitment to vote in this election” and that “the time has come to make good on that commitment. Think about when you’ll cast your vote and how you’ll get there.”)

“ (…) holding a person publicly accountable for whether or not she voted may increase her tendency to do so. (…) Studies have found that when people are merely made aware that their behavior will be publicly known, they become more likely to behaving in ways that are consistent with how they believe others think they should behave. (…) At least, at one point Italy exposed those who failed to vote by posting the names of nonvoters outside of local town halls.”

(On the accountability issue, also read this fascinating study [PDF] by Gerber, Green & Larimer)

  • Following the herd: affinitive and belonging needs

“People are strongly motivated to maintain feelings of belonging with others and to affiliate with others. (…) Other GOTV strategies that can increase turnout by serving social needs could involve encouraging people to go to their polling place in groups (i.e., a buddy system), hosting after-voting parties on election day, or encouraging people to talk about voting with their friends, to name a few.”

“(…) studies showed that the motivation to vote significantly increased when participants heard a message that emphasized high expected turnout as opposed to low expected turnout. For example, in the New Jersey study, 77% of the participants who heard the high-turnout script reported being “absolutely certain” that they would vote, compared to 71% of those who heard the low-turnout script. This research also found that moderate and infrequent voters were strongly affected by the turnout information.”

  • Voting as an expression of identity

“(….) citizens can derive value from voting through what the act displays about their identities. People are willing to go to great lengths, and pay great costs, to express that they are a particular kind of person. (….) Experimenters asked participants to complete a fifteen-minute survey that related to an election that was to occur the following week. After completing the survey, the experimenter reviewed the results and reported to participants what their responses indicated. Participants were, in fact, randomly assigned to one of two conditions. Participants in the first condition were labeled as being “above-average citizens[s] … who [are] very likely to vote,” whereas participants in the second condition were labeled as being “average citizen[s] … with an average likelihood of voting. (….) These identity labels proved to have substantial impact on turnout, with 87% of “above average” participants voting versus 75% of “average” participants voting.”

For those working with participatory governance, the question that remains is the extent to which each of these lessons is applicable to non-electoral forms of participation. The differences between electoral and non-electoral forms of participation may cause these techniques to generate very different results. One difference relates to public awareness about participation opportunities. While it would be safe to say that during an important election the majority of citizens are aware of it, the opposite is true for most existing participatory events, where generally only a minority is aware of their existence. In this case, it is unclear whether the impact of mobilization campaigns would be more or less significant when awareness about an event is low. Furthermore, if the act of voting may be automatically linked to a sense of civic duty, would that still hold true for less typical forms of participation (e.g. signing an online petition, attending a community meeting)?

The answer to this “transferability” question is an empirical one, and one that is yet to be answered.  The good news is that while experiments that generate this kind of knowledge are normally resource intensive, the costs of experimentation are driven down when it comes to technology-mediated citizen participation. The use of A/B testing during the Obama campaign is a good example. Below is an excellent account by Dan Siroker on how they conducted online experiments during the presidential campaign.

Bringing similar experiments to other realms of digital participation is the next logical step for those working in the field. Some organizations have already started to take this seriously . The issue is whether others, including governments and donors, will do the same.