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Editing a journal like the European Journal of Political Research means in the first place the organisation of a constant reviewing process. Finding referees and making sure that they provide useful reports is needed for making wise decisions. Double-blind refereeing is indeed the generally accepted procedure for selecting publishable articles. This blind refereeing process is also believed to be the best way to select high-quality manuscripts. It is a sacred ritual. Yet the real life of refereeing can sometimes be quite messy and is not at all free from biases. It tends to be a fairly conservative selection process.
The Journal of European Public Policy was launched to fill a perceived intellectual gap in the market for European public policy research. It appears to have been a success but some luck was needed, good academic contacts, and a publisher willing to take a risk by committing quite large sums of money up front. Referees are hugely important for the success of a journal but this does not mean that editors should not occasionally exercise their own judgement. Evaluation and ranking of journals is a complex and unreliable process. Thus, the market is probably the best judge. If a journal sells well and subscriptions are rising it is probably ok! Submission fees seem a bad idea as authors already work for no pay. Payment for referees might work but is it really necessary? Finally, let us have more journals and more competition for our work.
It has long been challenging to assess local residents’ quality of life, which is affected by numerous natural and man-made amenities. We develop a novel compensating differential model of quality-of-life rankings applicable to developing countries by introducing farm income into the household budget alongside housing and labour market differentials. We apply this model to Indonesia using detailed household data from the Indonesian Family Life Survey for two different time periods and combining estimates of agricultural, off-farm labour and housing market differentials. We find heterogeneous amenity impacts across the agricultural and off-farm labour sectors. We use our model to show how significant changes in rankings across time are consistent with contemporaneous internal migration patterns in Indonesia. These rankings yield important information for policymakers on expected changes in migration and can be used to help inform public investment.
This chapter asks how a politician can tie the amount of central government resources a group receives to the amount of electoral support it delivers. I argue that when a party is dominant, like Japan’s Liberal Democratic Party (LDP), its members will be able to gain the most votes, conditional on resources delivered, by pitting groups against each other in a competition for resources. This part of the theory draws on prior work that introduces tournaments to political science. I explain that in such a competition, politicians create the perception that groups will be ranked according to their loyalty in the last election and prizes (in the form of resource allocations) will be awarded on the basis of rank. By structuring resources so that the highest-ranked group receives the largest prize, politicians can encourage competition for this position. This drives up their electoral support, in all groups with a chance of attaining this position. This chapter fleshes out the intuition behind a tournament, the mechanics of how tournaments can be pulled off in different settings, and elucidates their implications for longstanding questions of interest, including the sources of incumbency advantage and opposition weakness, the degree of congruence between policy preferences and vote choice, and whether all democratic competition is created equal.
Chapter 8 looks for evidence of tournaments in the decisions of voters in Japan to turn out and vote in Lower House elections, 1980–2014. Under a tournament, decisions to vote are expected to hinge on where in the ranking a given municipality is expected to end up. All else equal, it expects that voters will be systematically more likely to go to the polls when they live in municipalities that are projected to place highly. Moreover, among municipalities projected to place highly, projections of further increases in rank are expected to bring about an even larger impact on turnout. The chapter presents three sets of empirical tests of these two hypotheses. The first two look within electoral districts and examine how turnout varies as a function of where municipalities are expected to place in the ranking. The third set of tests leverage variation in competitiveness across electoral districts, which we know impacts turnout, and variation in competitiveness and ruralness, which we know impacts turnout in Japan. The tests reveal support for both hypotheses and shed new light on determinants of political participation across time and space.
Many governments and universities have pursued excellence by emulating world-class models and relying on international ranking schemes for validation and ideas for improvement. Others have relied on traditional notions of quality and research productivity. These approaches rely on the accumulation of wealth and talent – strategies that are “rivalrous” limiting the opportunities of others to be as effective. Focusing on portraits of eight different institutions reveals other approaches to excellence, all of which rely on defining and pursuing a purpose.
Americans love to talk about 'greatness.' In this book, Zev Eleff explores the phenomenon of 'greatness' culture and what Americans really mean when they talk about greatness. Greatness discourse provides a uniquely American language for participants to discuss their 'ideal' aspirational values and make meaning of their personal lives. The many incarnations and insinuations of 'greatness' suggest more about those carrying on the conversation than they do about those being discussed. An argument for Abraham Lincoln or Franklin D. Roosevelt over George Washington as America's greatest statesman says as much about the speaker as it does about the legacies of former US presidents. Making a case for the Beatles, Michael Jordan, or Mickey Mouse involves the prioritization of politics and perspectives. The persistence of Henry Ford as a great American despite his toxic antisemitism offers another layer to this historical phenomenon. Using a variety of compelling examples, Eleff sheds new new light on “greatness” and its place in American culture.
Interpersonally incomparable responses pose a significant problem for survey researchers. If the manifest responses of individuals differ from their underlying true responses by monotonic transformations which vary from person to person, then the covariances of the manifest responses tools such as factor analysis may yield incorrect results. Satisfactory results for interpersonally incomparable ordinal responses can be obtained by assuming that rankings are based upon a set of multivariate normal latent variables which satisfy the factor or ideal point models of choice. Two statistical methods based upon these assumptions are described; their statistical properties are explored; and their computational feasibility is demonstrated in some simulations. We conclude that is possible to develop methods for factor and ideal point analysis of interpersonally incomparable ordinal data.
We propose a unifying framework for multilevel modeling of polytomous data and rankings, accommodating dependence induced by factor and/or random coefficient structures at different levels. The framework subsumes a wide range of models proposed in disparate methodological literatures. Partial and tied rankings, alternative specific explanatory variables and alternative sets varying across units are handled. The problem of identification is addressed. We develop an estimation and prediction methodology for the model framework which is implemented in the generally available gllamm software. The methodology is applied to party choice and rankings from the 1987–1992 panel of the British Election Study. Three levels are considered: elections, voters and constituencies.
This paper presents two probabilistic models based on the logistic and the normal distribution for the analysis of dependencies in individual paired comparison judgments. It is argued that a core assumption of latent class choice models, independence of individual decisions, may not be well-suited for the analysis of paired comparison data. Instead, the analysis and interpretation of paired comparison data may be much simplified by allowing for within-person dependencies that result from repeated evaluations of the same options in different pairs. Moreover, by relating dependencies among the individual-level responses to (in)consistencies in the judgmental process, we show that the proposed graded paired comparison models reduce to ranking models under certain conditions. Three applications are presented to illustrate the approach.
This chapter examines how attitudes are formed. Attitude formation is explained as a function of prior beliefs and information. This process is viewed through two complementary lenses: the static process and the dynamic process. The static model thinks of attitudes as a combination of ratings and rankings. We term this the multi-attribute model – a commonly used approach in psychology and economics. The dynamic model concentrates on how humans process information, where things like words, symbols, and memory networks take on practical significance. Ultimately, both models have many applications for the practitioner.
In this chapter, we discuss both the structural and the packaging perspectives in conceptual terms. It is worth noting that the communications literature is diffuse and poorly integrated. Some of it reads more like self-help books. To be fair, it does draw on many different disciplines – some more rigorous; others less so. As such, our purpose here is to provide a clear framework for the pollster and practitioner. There is considerable art and creativity to effective communications. Look at Cannes Lion every year- the Oscars of the PR and Marketing world. There is incredible creativity in the crafting of impactful messages. But public opinion is public opinion – with a few basic compositional truths. By nailing them down, the pollster is able to provide structure to the communications process.
The collective recognition heuristic is a simple forecasting heuristic that bets on the fact that people’s recognition knowledge of names is a proxy for their competitiveness: In sports, it predicts that the better-known team or player wins a game. We present two studies on the predictive power of recognition in forecasting soccer games (World Cup 2006 and UEFA Euro 2008) and analyze previously published results. The performance of the collective recognition heuristic is compared to two benchmarks: predictions based on official rankings and aggregated betting odds. Across three soccer and two tennis tournaments, the predictions based on recognition performed similar to those based on rankings; when compared with betting odds, the heuristic fared reasonably well. Forecasts based on rankings—but not on betting odds—were improved by incorporating collective recognition information. We discuss the use of recognition for forecasting in sports and conclude that aggregating across individual ignorance spawns collective wisdom.
Straddling the line between knowledge and business, public and private, or between its local ties to the state and its reach toward the global economy of higher education, the modern university seems to have found in brands a tool to construct a coherent and attractive image, if perhaps only skin deep, of itself, its role, and its “excellence.” This chapter looks at the specificity of academic brands compared to their corporate counterparts, focusing in particular on the distinct notion of “origin” that they signify (and how that frames the ways in which such brands may be tarnished), the relationship between academic brands and academic rankings, and the fundamental role of students in the establishment of such brands. One of the suggestions put forward here is that, rather than an adoption of a corporate trend, academic brands may have in some way predated that trend.
Higher education misunderstands branding. Fears that embracing branding leads to commodification show the problem. When higher education institutions strive to meet ranking systems’ metrics, they take the path to commodification and cede power to outsiders. Branding, however, does not force such an outcome. Instead, applying the logic of branding to the realities of higher education today opens a way, especially for public institutions and systems, to define their purpose. This change can free schools from traps set by following systems that quantify education in the hope that it can be analyzed in economic terms. This chapter explains problems with ranking systems and examines California’s approach to higher education as a template for a broader understanding of education.
The 2019 Global Health Security Index (GHS Index) assessed the US and the UK as the two countries best prepared to address a catastrophic pandemic. The preparedness rankings of this index have had little correlation with the actual experiences of COVID-19 in various countries. In explaining this disrepancy, the paper argues that better indicators and more data would not have fixed the problem. Rather, the prevailing paradigm of global health security that informs instruments such as the GHS Index needs to be interrogated. This dominant paradigm narrowly conceptualises global health security in terms of the availability of a technical infrastructure to detect emerging infectious diseases and prevent their contagion, but profoundly undertheorises the broader social and political determinants of public health. The neglect of social and political features is amplified in instruments such as the GHS Index that privilege universalised templates presumed to apply across countries but that prove to be inadequate in assessing how individual societies draw on their unique histories to craft public health responses.
Global social indicators, as a form of governance and soft regulation, exert pressure for change and compliance through the way they compare and rank the relative performance of states or other units. Is it reasonable then to expect the comparisons they make in the process of carrying out such strategic exercises to be accurate and fair? In particular, how far can they, or should they, be required to be faithful to the requirement to ‘compare like with like’. Using as an example the role of indicators in documenting and responding to the current coronavirus epidemic, I investigate the way their hybrid combination of both comparison and commensuration may help to account for the difficulty they have had so far in establishing stable rankings of best practice.
Goods are not only tangible things, like military hardware or trade goods, but may also be normative in nature. In this chapter, Rumelili and Towns emphasize the centrality of international symbolic and normative goods in maintaining or challenging hegemony. International orders may be characterized by different systems of supply of normative goods and status. They analyze the role played by ranking organizations and the country performance indices they produce in transforming norms into a set of normative goods. Such country performance indices provide moral value in three ways: They supply public and comparative information, which constructs moral hierarchies; they define norms by assigning moral value to specific indicators; and they distribute moral status to states through the ranking systems they employ. States may acquire normative goods to challenge the dominant position of the United States, or they may challenge the existing set of normative goods to undermine the liberal normative order that undergirds US hegemony. Conceiving of norms as goods alerts us to a distinct terrain where hegemony is challenged in a bottom-up and gradual fashion, through putatively technical measures and standards.
Globalization, accountability, and technology are changing important aspects of global governance. While coercion, enforcement, and material sanctions have often taken pride of place as major movers of interstate relations, scholars and policy agents alike have come to appreciate the multifaceted nature of power exerted more subtly and gradually.
The proliferation of global performance indicators (GPIs) is one example of such power. They contain ideas and worldviews, and they attempt to “regulate” through non-coercive but nonetheless powerful means. They do not merely measure qualities and practices in order to understand or inform, they pressure their targets to perform and conform. In wielding such tools, a diverse set of actors insert themselves in the governing process, in some cases even shifting policy parameters. When promulgated by authoritative actors, GPIs can name and categorize information in new ways and have what anthropologists like Merry and others have referred to as “knowledge effects,” or the ability to influence how people think about socially legitimate or best practice. Their proliferation and evolution define and contest what is worth knowing, measuring and achieving.
Do Global Performance Indicators (GPIs) influence the application of material power? While existing research has shown that GPIs can provoke reform through social mechanisms, material power is an important tool for influencing states resistant to social pressure. We investigate whether GPIs shape third-party policymakers’ decisions to employ material power in the fight against corruption, an important component of the good governance agenda. We theorize that GPIs influence policymakers by acting as focal points that provide information and establish standards of behavior. We test this argument for a highly visible GPI: Transparency International’s Corruption Perceptions Index. We find that while this GPI garners significant media attention, it does not influence policymakers’ decisions to punish corruption offenders by withdrawing or altering foreign aid. Our results raise important scope conditions on the power of GPIs and suggest that their ability to alter state behavior through third-party material mechanisms may be limited.