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--- - |2 Abstract During the 2016 U.S. presidential election, Trump supporters expressed that they believed Trump was a moral candidate because of his past successes. Such statements are consistent with our argument that people judge others’ morality based on their success and failure‐related outcomes, even though these outcomes are usually associated with judgments of competence. Moreover, we argue that these outcome‐based perceptions of morality play a crucial role in responses to political candidates, independent of perceived competence. In three experiments, we manipulated a hypothetical candidate's outcomes (past successes vs. failures, or success in light of past misfortune vs. good fortune). We examined the effect of the manipulation on perceptions of the candidate's morality and competence, as well as support for the candidate (e.g., voting intentions). Across the three experiments, candidates’ outcomes affected not only perceptions of their competence, but also their morality. In turn, outcome‐based perceptions of competence and morality independently predicted candidate support. Our findings have implications for how people responded to the campaigns in the 2016 U.S. presidential election, especially the campaign run by Donald Trump. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract Although national flags arguably reflect a unified nation, support for a particular flag design may vary across ideological cleavages within the electorate. Here, we examined the impact of system‐challenging and system‐justifying ideologies, as well as political party support, on support for flag‐change in a large (N = 13,559) nationally representative sample of New Zealand adults. As hypothesized, system‐justifying ideologies (e.g., conservatism, right‐wing authoritarianism, historical negation, and symbolic exclusion) correlated negatively with flag change support, whereas system‐challenging ideologies (e.g., support for multiculturalism) correlated positively with support for change. Yet, consistent with an identity politics perspective, support for the National Party—the center‐right/conservative party in New Zealand whose leader advocated change—correlated positively (rather than negatively) with support for changing the flag. These results demonstrate the countervailing effects of system‐justifying and system‐challenging ideologies on support for change, and identify a boundary condition of conservatives’ opposition to change (namely, party support). - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract According to a 2017 U.S. Department of Agriculture (USDA) survey, 12.3% of households face food insecurity (FI)—the economic and social condition of limited or uncertain access to adequate food. Given the pervasiveness of the problem, there is surprisingly little research examining how the general population perceives FI. Is FI expected in all societies? Is it a societal disgrace for individuals in the United States to go hungry? When it occurs, who is responsible? This research drew from existing surveys and practitioner expertise to develop a comprehensive instrument to assess attitudes toward FI. Data were collected in two studies to test a multidimensional model developed through examination and categorization of FI‐related items. We examined dimensionality of attitudes through exploratory (Study 1, N = 503) and then confirmatory (Study 2, N = 510) factor analysis of representative samples of Amazon Mechanical Turk (MTurk) participants. Seven dimensions were identified and related to reported contributions to food organizations and demographic characteristics (e.g., gender, age, and political orientation). Our findings help understanding of attitudes toward FI and can provide antipoverty organizations with information to shape policy, challenge inaccurate perceptions, and develop approaches to address FI. - Analyses of Social Issues and Public Policy, EarlyView.

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--- - |2 Abstract Following 9/11 and the wars in Iraq and Afghanistan, anti‐Muslim antipathy dramatically escalated in the United States. We argue that a major contributor to this hostility is endorsement of Right‐Wing Authoritarianism (RWA) because people high in RWA tend to respond aggressively toward groups that they view as threatening particularly when they perceive that such aggression is supported by authority figures. We posit that Americans high in RWA view Muslims as threatening traditional American norms and perceive that the U.S. government is at war with Islam. Across three studies, we present consistent support for our hypothesis that RWA is associated with endorsing and engaging in hostile behavior toward Muslims. In addition, this hostility is mediated by the perception that Muslims threaten societal norms and that the government is actively at war with Islam (Study 3). The implications for the reduction of aggression toward Muslims and the impact of RWA on hostility toward other outgroups are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract The first known university food pantry started at Michigan State University in 1993. Since then, campus food pantries are more widespread, although little is known about them. The current study examined how college pantries best serve students and foster their success. Twenty‐eight food pantry directors and staff from across sixteen Michigan college campuses engaged in concept mapping, a technique used to examine the interrelationships among concepts understood by stakeholders. Analyses identified six concepts, examined importance of each concept as assigned by participants, and evaluated variation among institutions. Implications for findings and future research directions are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

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--- - |2 Abstract Increasingly, individuals identify with two or more racial or cultural, yet are sometimes externally misclassified, contributing to experiences of invisibility within U.S. society. Using computational techniques, we examined the transmission of cultural identity terms through time, providing some evidence for the changing representation of social identity. We examined the usage patterns of identity terms with the prefixes (mono‐, bi‐, multi‐), modifying the social identity terms: culture, ethnicity, and race (e.g., comparing monocultural, monoethnic, and monoracial). For bicultural and multicultural terms, those with ‐racial suffixes were the earliest used terms, while those with ‐cultural and ‐ethnic suffixes gained more popularity in recent years. We examined the evolution of the higher frequency social identity terms in lay sources (the NY Times, Reddit), and found that interracial and multicultural were the most popular over time, peaking recently. We examined the potential time lag in the sequence of identity terms among academic (PsycINFO, NIH, and NSF Databases), lay (the NY Times), and mixed sources (Google Books N‐Grams), demonstrating that newer terms (e.g., multicultural) are first used and gain prevalence in lay sources, then mixed sources, and eventually academic sources. The implications of these findings for research, public policy, and psychosocial experiences of individuals are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract The Internet represents a powerful tool for racist groups to build a sense of group consciousness and promote their cause. In the current study, we examined the language used by racist (n = 87), anti‐racist (n = 50), and nonactivist (n = 1379) groups when describing their self‐defining beliefs online. We used computerized linguistic analysis software to measure psychological indicators and antecedents of group consciousness and to examine the persuasive techniques used in online group communication. Racist and anti‐racist groups were similar on some linguistic indicators of group consciousness (e.g., use of words reflecting perceived injustice), but differed on others (e.g., use of words reflecting group identification). Linguistic indicators of antecedents of group consciousness (moral foundations and focus on religion) differed across groups, with racist groups focused more on purity, respect for authority, and religion, and less on fairness than anti‐racist groups. Racist groups also used less cognitively complex language than nonactivist groups (but similar levels to anti‐racist groups). Our results contribute to understanding how racist groups promote their self‐defining beliefs online, and identify several key factors that should be considered when designing policies to reduce racist groups’ growth and impact. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract In 2002, Care Not Cash/Proposition N was introduced to respond to public concern over San Francisco's chronic homeless epidemic. The controversial initiative, which significantly reduced General Assistance (cash aid) to unhoused people, diverted funds to direct services such as shelter, food, medical assistance, and substance abuse programs. To investigate the underlying attitudes and beliefs that framed homelessness and the Care Not Cash policy in the months leading up to the citywide vote articles from the San Francisco Chronicle were analyzed. Of particular interest was assessing the prevalence of individualistic framing, constructions of dependency, and the problems Care Not Cash was presented as solving. Our analysis found that homelessness was framed as a threat to businesses, tourism, and residents of San Francisco and welfare as enabling deviant behavior (e.g., substance abuse) among people experiencing homelessness. Similar to federal welfare reform, Care Not Cash was portrayed as a compassionate solution that would both solve the problem of homelessness and address problematic behaviors associated with people who are unhoused (Stryker & Wald, 2009). Implications for economic justice are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract In the wake of the 2016 election, which surprised pundits and voters on both the left and the right, there has been renewed interest in understanding what predicts American voters’ choices. In this article, we investigate the roles of personality and issue importance in how people voted in the 2016 U.S. election. In this longitudinal study of 403 MTurk workers who voted in the election, we assessed the relations between personality (openness, social dominance orientation, and national identity importance) and issue importance (group rights and social justice, economic rights, and individual and national rights), and voting for Clinton or Trump. Our results indicate that both individual differences and issue importance as measured in July 2016 predicted votes in November. We also found that the links between personality and voting were mediated by issue importance. Implications for political psychology and the study of personality, campaign issues, and voting behavior are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract The aim of the study was to investigate levels of posttraumatic stress due to the recent economic crisis in a Greek community sample and identify particularly vulnerable demographic groups. A sample of 1,208 residents of a western Athens borough completed the Impact of Events Scale—Revised. According to the findings, almost 60% of respondents reported severe and 28% moderate symptoms. Individuals in employment presented similar levels as the unemployed, while caring for dependants, having lower educational attainment, and being female and older were associated with greater posttraumatic stress. The present findings suggest a high prevalence of posttraumatic stress in a community sample, indicating that policymakers in Greece, Europe, and worldwide need to take very seriously the growing evidence for the detrimental effects of austerity politics on both individual and collective well‐being. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract Donald Trump's 2017 inaugural address was scored with a content analysis measure of implicit motives. The results show that compared to other 20th and 21st century U.S. presidents, he scores very high in achievement and power motive imagery, but only about average in affiliation imagery. Based on previous research on presidents’ motive imagery, this profile suggests some predictions about the Trump presidency and possible problems for it. In political leaders, high achievement motivation often leads to frustration with the political process. Power motivation, while associated with rated greatness, is related to polarization of public opinion and war. The effects of motives are further channel by temperament and traits—in Trump's case, high extraversion and low agreeableness. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract When judging a voter's decision, does that voter's reason for casting their vote influence moral and interpersonal judgments about them? In the context of the 2016 U.S. Presidential Election, past research suggests two competing predictions. First, people regularly account for an actor's intentions when forming judgments of the actor, indicating that judgments may vary according to a voter's motives. However, people are unlikely to see nuance among outgroups, especially amid divisive political partisanship, suggesting that judgments would ignore information about voters’ motives. In Study 1, results supported the first prediction, showing that both Hillary Clinton and Donald Trump supporters distinguished between different voting motives when making moral and interpersonal judgments of outgroup voters. In Studies 2 and 3, when some voters’ motives became more extreme, Clinton and Trump supporters again distinguished between voting motives for outgroup and ingroup voters, respectively, albeit in a different pattern of results. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract Hillary Clinton was the first woman nominated for President by a major political party in the United States. Like most women in politics, she faced negative evaluations, in part, due to the inconsistency between the traits typically associated with leaders (competence) versus women (warmth). Because understanding the categorization of an individual female politician is essential to the development of successful bias interventions, we examined the extent to which Hillary Clinton and a novel female politician were categorized as women versus female politicians. In three studies we investigated how the warmth and competence stereotypes associated with women and female politicians contributed to the warmth and competence traits associated with Hillary Clinton and a novel female political candidate. Consistent with a subtyping account, the warmth and competence stereotypes associated with female politicians, but not women, predicted Hillary Clinton's warmth and competence traits (Studies 1–3). However, consistent with a subgrouping account, the warmth and competence stereotypes associated with both women and female politicians predicted a novel female politician's warmth and competence traits (Study 3). Implications for bias reduction interventions are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

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--- - |2 Abstract Are female politicians disadvantaged by adverse economic conditions in ways their male counterparts are not? To examine this issue, we had participants read a news article about the current economic situation. The article emphasized either economic stability or volatility. Afterward, they evaluated an advertisement for either a female or a male candidate for the U.S. Senate. Exposure to news depicting economic instability caused devaluation of the female but not the male candidate. A second study provided a direct replication of this finding with a larger sample.  An omnibus analysis (N = 535) showed that this devaluation pattern occurred primarily among male participants. Study 2 also examined whether gender stereotypes play a role in this process.  Indeed, men's confidence in the female candidate's ability to handle stereotypically masculine issues decreased under economic instability and this tendency mediated their devaluation of the female candidate. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract The 2016 U.S. Presidential Election provided a unique opportunity to examine how ageism and sexism may impact attitudes (perceived presidential qualities and endorsement of positive and negative age stereotypes) toward Hillary Clinton and Donald Trump. Community participants (N = 875) indicated their attitudes and voting intentions 3 weeks before the election. Endorsement of positive and negative age stereotypes and perceived presidential qualities for Clinton and Trump varied based on participants’ attitudes toward women, political stance (conservative/liberal), and demographic characteristics (racial/ethnic identification, education, gender identification). Individuals who perceived sexism to be more prevalent and perceived women as more competent in general had more positive attitudes toward Clinton, in contrast, only perceptions of lower prevalence of sexism (and not competence of women) predicted attitudes toward Trump. Individuals who perceived sexism as less prevalent viewed Clinton as less presidential and endorsed stronger negative age stereotypes for Clinton, while they viewed Trump as more presidential and endorsed stronger positive and weaker negative age stereotypes for Trump. Our findings suggest that both ageism and sexism present barriers for qualified women when pursuing positions of power. Implications for future research are discussed. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract The present study investigated preference for linguistically biased characterization of events attributed to Hillary Clinton and Donald Trump during the 2016 Presidential election cycle. The linguistic intergroup bias (LIB) reflects abstract characterization of positive events attributed to ingroup members and negative events attributed to outgroup members; conversely, it also reflects concrete characterization of negative events attributed to outgroup members and positive events attributed to outgroup members. University students (N = 117) who preferred Hillary Clinton completed on‐line measures before and after the 2016 Presidential election, including liberal‐conservative ideology and measures of LIB. Participants showed clear preference for characterizations consistent with LIB (e.g., Clinton is intelligent; Trump is quick‐tempered). This pattern was more pronounced as strength of liberal ideology increased; it also was more pronounced immediately following the election than after time had passed. A smaller sample of Trump supporters also showed LIB favoring Trump. This study is the first to demonstrate that members of the electorate gravitate towards linguistic characterizations that favor their preferred political candidates and that this tendency is exacerbated by a relevant individual difference. Findings have implications for the continued polarization of the American electorate. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract White women's general failure to vote for Hillary Clinton in the 2016 United States presidential election (only 43% of White women did so) was largely unexpected. We tested the hypothesis that White women's gender‐related attitudes and beliefs, including their (i) feminist identification, (ii) views of societal gender discrimination, (iii) personal experiences with gender discrimination, and (iv) beliefs about female role models, were related to their levels of support for Hillary Clinton and her opponents (Sanders, Trump). A sample of White women (N = 314; 18–75 years, M = 32.71, SD = 13.37) recruited during June and July of 2016 from MTurk and college campuses completed surveys of their gender‐related attitudes and beliefs, as well as political preferences. Results indicated that women's gender‐related attitudes and beliefs predicted their views of both Clinton and Trump, after accounting for political ideology. For example, feminist identification was positively related to support for Clinton. Additionally, stronger endorsement of the notion that societal gender discrimination persists in the United States predicted both more favorable ratings of Clinton and less favorable ratings of Trump. More frequent personal experiences with discrimination, in contrast, predicted weaker support for Clinton. - Analyses of Social Issues and Public Policy, EarlyView.

--- - |2 Abstract Social psychological models of group identity and collective action should be particularly adept at providing psychological explanations for growing rates of populism in the Western World. Because populism tends to arise in times of societal shifts that reflect both economic and cultural changes, populist attitudes are likely grounded in perceptions of intergroup relations and collective attitudes. We surveyed 95 demonstrators at the 2016 Republican National Convention and 108 demonstrators at the Democratic National Convention. Results support the idea that relative anger prototypicality, in this case, the extent to which people believe that their own anger toward politicians is representative of most Americans’ anger, predicts feelings of group‐based relative deprivation. Importantly, these feelings of deprivation mediate the relationship between prototypical anger and populist attitudes. These findings provide a unique picture of current political engagement, motivated by feelings of shared anger and collective feelings of lacking representation and voice. - Analyses of Social Issues and Public Policy, EarlyView.

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--- - |2 Abstract A defining feature of American politics, including party identification, is the question of the proper role of government. Partisanship is a prevailing way that individuals organize their attitudes. Democrats should take the Democratic Party's positions, and Republicans should take the Republican Party's positions. Instead, people have conflicting considerations that shape their opinions. Given that gender is integral in structuring individuals’ positions in society, it is reasonable to expect that gender differences might produce intraparty differences. This article establishes a gender gap in scope of government that transcends partisanship. Using the cumulative American National Election Study Data 1994–2008, I find strong evidence that for a number of issue areas, women are more supportive of an activist government than men of the same party. Preferences regarding the scope of government provide a coherent explanation for these observed gaps. - Analyses of Social Issues and Public Policy, Volume 17, Issue 1, Page 379-405, December 2017.

--- - |2 Abstract Numerous recent encounters between police officers and Black citizens have resulted in the deaths of African American men and have drawn renewed public scrutiny of police practices. We examine the public's attributions about these encounters. Does the public perceive violent confrontations between police officers and Black citizens as a result of broader problems in police practices or simply as isolated incidents? We employ attribution theory and social identity theory to understand how social and political identities influence beliefs about police use of force against African Americans. We argue that racial and political identities predispose individuals to believe certain attributional perspectives over others. We test several hypotheses using individual level survey data from two national surveys. Our findings suggest that racial and political identities strongly shape attributions, and these patterns have implications for public trust in government institutions and the ability of police to operate effectively. We conclude with recommendations for police and policymakers. - Analyses of Social Issues and Public Policy, Volume 17, Issue 1, Page 358-378, December 2017.

--- - |2 Abstract Support for presidential candidate Donald Trump increased in the aftermath of the 2015 terrorist attacks in Paris, France, and San Bernardino, California, similar to Americans’ greater enthusiasm for President George W. Bush after the September 11, 2001 terrorist attacks on the Pentagon and World Trade Center. According to terror management theory (Greenberg, Pyszczynski, & Solomon; Solomon, Greenberg, & Pyszczynski), people are prone to embrace charismatic politicians in times of historical upheaval to mitigate existential terror. Consistent with this view, previous research has demonstrated that reminders of death (relative to an aversive control condition) increased support for a charismatic leader in a hypothetical gubernatorial election, and support for President Bush and his policies in Iraq prior to the 2004 presidential election. The present Study 1 hypothesized and found that a death reminder increased support for Donald Trump. Study 2 found that while Hillary Clinton was viewed more favorably than Donald Trump in an aversive control condition, Mr. Trump was viewed more favorably in response to a death reminder while impressions of Mrs. Clinton were unaffected. Study 3 demonstrated that asking people to think about immigrants moving into their neighborhood increased the accessibility of implicit death thoughts. These findings suggest that electoral outcomes and public policy can be affected when existential concerns are aroused. - Analyses of Social Issues and Public Policy, Volume 17, Issue 1, Page 339-357, December 2017.

--- - |2 Abstract To inform current public policy regarding suicide prevention, this study examined the longitudinal relationships between four resources (public insurance, primary care services, school‐based mental health treatment, and family support) and depression and suicidality in a nationally representative sample of suicidal adolescents (n = 1,355). Longitudinal regression analyses were conducted using data from three waves of the National Longitudinal Study of Adolescent to Adult Health (Add Health). Parental support at Wave I was predictive of lower levels of depression across all three waves, but not significantly associated with the suicide‐specific outcomes. While type of insurance was not significantly associated with any of the outcomes, receipt of public assistance was associated with a higher likelihood of suicidal ideation and higher levels of depression at all three waves. Neither receipt of a routine physical nor access to school‐based mental health treatment were associated with any of the outcomes. Intervention points for future policy that are discussed include the following: integrating family interventions into current screening and referral protocols, targeted screening and outreach for those youth and young adults receiving public assistance, the inclusion of integrated behavioral health in primary care settings, and the inclusion of suicide‐specific evidence‐based treatments in the school setting. - Analyses of Social Issues and Public Policy, Volume 17, Issue 1, Page 319-338, December 2017.

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The paper examines the value‐generating strategies used in some of New Zealand's primary activities in a rapidly changing trading context in which the countries of East Asia increasingly figure. These strategies range from scaling up volume, with a consequent conspicuous impact on rural landscapes, to innovative value‐enhancing relationships linking producers, processors and consumers in processes which value landscapes for the contribution they make to provenance stories. Our argument is that higher‐value strategies are necessarily more intensely collaborative and involve a pursuit of engaged relationships, especially between onshore producers and manufacturers and consumers at a distance. We term this collaborative form of strategising as ‘the relationships economy’. We illustrate our argument using two case studies, dairying and merino. While there are great differences in scale between them, and dairying focuses significantly on volume‐generating capacity, there are players in dairying who are adopting higher‐value relationships‐based approaches similar to those developed in the merino industry. The common thread connecting the case studies is that of intentional enactment, which echoes earlier periods in New Zealand's trading history when considerable work was undertaken by industry participants to create new markets for primary products.

Many people believe that the abortion debate will end when at some point in the future it will be possible for fetuses to develop outside the womb. Ectogenesis, as this technology is called, would make possible to reconcile pro‐life and pro‐choice positions. That is because it is commonly believed that there is no right to the death of the fetus if it can be detached alive and gestated in an artificial womb. Recently Eric Mathison and Jeremy Davis defended this position, by arguing against three common arguments for a right to the death of the fetus. I claim that their arguments are mistaken. I argue that there is a right to the death of the fetus because gestating a fetus in an artificial womb when genetic parents refuse it violates their rights not to become a biological parent, their rights to genetic privacy and their property rights. The right to the death of the fetus, however, is not a woman's right but genetic parents’ collective right which only can be used together.

This article examines the “chicken‐egg” two‐way relationships between online consumer reviews and sales, and assesses the dual influencer and indicator roles of online consumer reviews in relation to purchase behavior. Considering the time factor, we adopt the methodology of Granger causality test and track 3,390 products on Amazon.com over a 2‐month period. The results reveal that a causality loop exists between online consumer review volume and sales. Specifically, our findings indicate that the volume of negative consumer reviews drive consumers' purchasing decisions, but the volume of positive consumers reviews only marginally affects purchasing decisions. Also, consumers generate more positive reviews than negative reviews after sales. Our results highlight the importance of negative consumer reviews; negative reviews not only lead to sales, but sales, in turn, lead to higher volume of negative reviews. The findings suggest an alternative strategy for practitioners to address negative online consumer reviews and highlight the awareness effect of online consumer review postings that can later convert into purchase behaviors.

This representative study of German search engine users (N = 1,000) focuses on the ability of users to distinguish between organic results and advertisements on Google results pages. We combine questions about Google's business with task‐based studies in which users were asked to distinguish between ads and organic results in screenshots of results pages. We find that only a small percentage of users can reliably distinguish between ads and organic results, and that user knowledge of Google's business model is very limited. We conclude that ads are insufficiently labelled as such, and that many users may click on ads assuming that they are selecting organic results.

Objective The objective of this literature review was to summarise current research regarding how consumers seek health‐related information from social media. Primarily, we hope to reveal characteristics of existing studies investigating the health topics that consumers have discussed in social media, ascertaining the roles social media have played in consumers’ information‐seeking processes and discussing the potential benefits and concerns of accessing consumer health information in social media. Methods The Web of Science Core Collection database was searched for existing literature on consumer health information seeking in social media. The search returned 214 articles, of which 21 met the eligibility criteria following review of full‐text documents. Conclusion Between 2011 and 2016, twenty‐one studies published explored various topics related to consumer information seeking in social media. These ranged from online discussions on specific diseases (e.g. diabetes) to public health concerns (e.g. pesticide residues). Consumers’ information needs vary depending on the health issues of interest. Benefits of health seeking on social media, in addition to filling a need for health information, include the social and emotional support health consumers gain from peer‐to‐peer interactions. These benefits, however, are tempered by concerns of information quality and authority and lead to decreased consumer engagement.

With cointegration tests often being oversized under time‐varying error variance, it is possible, if not likely, to confuse error variance non‐stationarity with cointegration. This paper takes an instrumental variable (IV) approach to establish individual‐unit test statistics for no cointegration that are robust to variance non‐stationarity. The sign of a fitted departure from long‐run equilibrium is used as an instrument when estimating an error‐correction model. The resulting IV‐based test is shown to follow a chi‐square limiting null distribution irrespective of the variance pattern of the data‐generating process. In spite of this, the test proposed here has, unlike previous work relying on instrumental variables, competitive local power against sequences of local alternatives in 1/T‐neighbourhoods of the null. The standard limiting null distribution motivates, using the single‐unit tests in a multiple testing approach for cointegration in multi‐country data sets by combining P‐values from individual units. Simulations suggest good performance of the single‐unit and multiple testing procedures under various plausible designs of cross‐sectional correlation and cross‐unit cointegration in the data. An application to the equilibrium relationship between short‐ and long‐term interest rates illustrates the dramatic differences between results of robust and non‐robust tests.

We propose imposing data‐driven identification constraints to alleviate the multimodality problem arising in the estimation of poorly identified dynamic stochastic general equilibrium models under non‐informative prior distributions. We also devise an iterative procedure based on the posterior density of the parameters for finding these constraints. An empirical application to the Smets and Wouters () model demonstrates the properties of the estimation method, and shows how the problem of multimodal posterior distributions caused by parameter redundancy is eliminated by identification constraints. Out‐of‐sample forecast comparisons as well as Bayes factors lend support to the constrained model.

There is no abstract available for this paper.

This work extends the masspersonal communication model (MPCM; O'Sullivan & Carr, 2017) by introducing anticipated interaction as a way to understand variations within the masspersonal continuum. Drawing from Thompson's mediated communication framework (1995), we argue that anticipated interaction paves the way for establishing a communicative relationship between interactants. In social media, this relationship is rooted in a sender's expectations for audience response and the imagined responsive audience. Using experience sampling, we show that anticipated interaction varies across social media. Further, we outline the relational and situational factors associated with expecting response and the specificity of imagined responsive audience. These variations and their sources characterize masspersonal communication as a socially and technologically situated practice shaped by multiple intersecting influences.

This research focuses on the identification of social roles and an investigation of their influence in online context. Relying on a systemic approach for role conceptualization, we investigate member's activity, shared content and position in the network within a consumer to consumer social media‐based community (SMC) around a product. This investigation led to the identification of ten core roles, based on three key elements: object of interest (product, practice, and community), main contribution type (sharing information and seeking information), individual orientation (factual, emotional). We propose an explanation about how these roles, through their positioning, participate in the community dynamics and how they contribute to the creation and diffusion of cookery as a social practice, shaping the periphery around this practice.

Political information sharing in social media offers citizens opportunities to engage with news and express their political views, but how do different patterns of online political information exposure, including both incidental and selective exposure, affect sharing? Using two‐wave panel survey data collected in the United States, we examine the relationship between incidental and selective exposure and their consequent links to political information sharing, across different levels of strength of political party affiliation. Our results demonstrate that incidental exposure to counter‐attitudinal information drives stronger partisans to more actively seek out like‐minded political content, which subsequently encourages political information sharing on social media. The results highlight the need to consider both types of political information exposure when modeling citizens' political behavior online.

The asylum system faces problems on two fronts. States undermine it with populist politics, and migrants use it to satisfy their migration preferences. To address these problems, asylum services should be commodified. States should be able to pay other states to provide determination and protection‐elsewhere. In this article, I aim to identify a way of implementing this idea that is both feasible and desirable. First, I sketch a policy proposal for a commodification of asylum services. Then, I argue that this policy proposal is not only compatible with the right to asylum, but also supported by moral considerations. Despite some undesirable moral features, a market in asylum facilitates the provision of asylum to those who need it.

In this article, I ask whether a principle analogous to the principle of clinical equipoise should govern the design and conduct of RCTs evaluating the effectiveness of policy interventions. I answer this question affirmatively, and introduce and defend the principle of policy equipoise. According to this principle, all arms of a policy RCT must be, at minimum, in a state of equipoise with the best proven policy that is also morally and practically attainable and sustainable. For all arms of a policy RCT, policy experts must either (1) reasonably disagree about whether the trial arms are more effective than this policy, or (2) know that they are.

Crowdsourcing has attracted increasing attention as a means to enlist online participants in organisational activities. In this paper, we examine crowdsourcing from the perspective of its ethical use in the support of open innovation taking a broader system view of its use. Crowdsourcing has the potential to improve access to knowledge, skills, and creativity in a cost‐effective manner but raises a number of ethical dilemmas. The paper discusses the ethical issues related to knowledge exchange, economics, and relational aspects of crowdsourcing. A guiding framework drawn from the ethics literature is proposed to guide the ethical use of crowdsourcing. A major problem is that crowdsourcing is viewed in a piecemeal fashion and separate from other organisational processes. The trend for organisations to be more digitally collaborative is explored in relation to the need for greater awareness of crowdsourcing implications.

Given the comprehensive influence of mindfulness on human thought and behavior, and the importance of moral reasoning in business decisions, we examine the role of mindfulness as an antecedent to moral reasoning through two studies. In Study 1, we propose and test a theoretically derived model that links mindfulness and moral reasoning, mediated by compassion and egocentric bias using a survey design. In Study 2, we examine whether mindfulness training enhances moral reasoning using an experimental design with graduate students of business management. The findings of Study 1 substantiate the positive association of mindfulness with moral reasoning. We found that this relationship is fully mediated by compassion and egocentric bias. The results of Study 2 suggest that mindfulness meditation training has a positive impact on individuals' states of mindfulness, compassion, and moral reasoning, and decreases egocentric bias. We relate the findings of the study with contemporary neurological research and discuss the theoretical, pedagogical, and managerial implications.

In April 2005, Lucio Gutiérrez was removed from office in the context of a fast‐growing economy. With no economic hardship to fuel social outrage, the failure of Gutiérrez illustrates how political and institutional factors can be the most important forces determining presidential survival. In this article, we qualitatively analyse the path toward confrontation between Gutiérrez and the congressional opposition which led to his political demise. We find that Ecuador's weak democratic tradition working through more proximate causes – radicalism, normative preference for democratic institutions and a negative institutional equilibrium – coupled with other institutional and political variables accelerated Lucio Gutiérrez's fall from power.

The explosive growth of mobile apps makes it difficult for users to find their needed apps in a crowded market. An effective mechanism that provides high quality app recommendations becomes necessary. However, existing recommendation techniques tend to recommend similar items but fail to consider users’ functional requirements, making them not effective in the app domain. In this article, we propose a recommendation architecture that can generate app recommendations at the functionality level. We address the redundant recommendation problem in the app domain by highlighting users’ functional requirements, an element that has received scant attention from existing recommendation research. Another main feature of our work is extracting app functionalities from textural user reviews for recommendation. We also propose an effective approach for functionality extraction. Experiments conducted on a real‐world dataset show that our proposed AppRank method outperforms other commonly used recommendation methods. In particular, it doubles the recall value of the second best method under an extremely sparse setting, increases the overall ranking accuracy of the second best method by 14.27%, and retains a high diversity of 0.99.

For diversity and novelty evaluation in information retrieval, we expect that the novel documents are always ranked higher than the redundant ones and the relevant ones higher than the irrelevant ones. We also expect that the level of novelty and relevancy should be acknowledged. Accordingly, we expect that the evaluation algorithm would reward rankings that respect these expectations. Nevertheless, there are few research articles in the literature that study how to meet such expectations, even fewer in the field of biomedical information retrieval. In this article, we propose a new metric for novelty and relevancy evaluation in biomedical information retrieval based on an aspect‐level performance measure introduced by TREC Genomics Track with formal results to show that those expectations above can be respected under ideal conditions. The empirical evaluation indicates that the proposed metric, geNov, is greatly sensitive to the desired characteristics above, and the three parameters are highly tuneable for different evaluation preferences. By experimentally comparing with state‐of‐the‐art metrics for novelty and diversity, the proposed metric shows its advantages in recognizing the ranking quality in terms of novelty, redundancy, relevancy, and irrelevancy and in its discriminative power. Experiments reveal the proposed metric is faster to compute than state‐of‐the‐art metrics.

This paper provides a feasible approach to estimation and forecasting of multiple structural breaks for vector autoregressions and other multivariate models. Owing to conjugate prior assumptions we obtain a very efficient sampler for the regime allocation variable. A new hierarchical prior is introduced to allow for learning over different structural breaks. The model is extended to independent breaks in regression coefficients and the volatility parameters. Two empirical applications show the improvements the model has over benchmarks. In a macro application with seven variables we empirically demonstrate the benefits from moving from a multivariate structural break model to a set of univariate structural break models to account for heterogeneous break patterns across data series.

We use multivariate unobserved components models to estimate trend and cyclical components in gross domestic product (GDP), credit volumes, and house prices for the USA and the five largest European economies. With the exception of Germany, we find large and long cycles in credit and house prices, which are highly correlated with a medium‐term component in GDP cycles. Differences across countries in the length and size of cycles appear to be related to the properties of national housing markets. The precision of pseudo real‐time estimates of credit and house price cycles is roughly comparable to that of GDP cycles.

This paper proposes a class of models that jointly model returns and ex post variance measures under a Markov switching framework. Both univariate and multivariate return versions of the model are introduced. Estimation can be conducted under a fixed dimension state space or an infinite one. The proposed models can be seen as nonlinear common factor models subject to Markov switching and are able to exploit the information content in both returns and ex post volatility measures. Applications to equity returns compare the proposed models to existing alternatives. The empirical results show that the joint models improve density forecasts for returns and point predictions of return variance. Using the information in ex post volatility measures can increase the precision of parameter estimates, sharpen the inference on the latent state variable, and improve portfolio decisions.

There is a growing phenomenon of brand advocacy, where brands pressure a producer country government to take pro‐worker actions such as respecting the rights of activists and raising minimum wages. This article examines the potential and limits of brand advocacy by developing a conceptual framework and analysing three recent cases of brand advocacy in Cambodia's garment industry. The study shows that brands' action and influence are shaped by issue salience, mobilization structures, political opportunities/contexts, and resource dependency. This article makes both empirical and theoretical contributions. This is one of the first studies delving into the advocacy role of brands in promoting labour rights and conditions vis‐à‐vis government. Moreover, the article develops a testable framework specifying the conditions under which brands are likely to respond, act collectively, and influence government for pro‐worker change. It also offers novel insights by applying social movement lenses and casting brands as social movement actors.