OLIGARCHIES AND DEVELOPMENT IN A GLOBAL ECONOMY: A TALE OF TWO ELITES

This paper studies how comparative advantage and the political elites' endowments shape long‐run performance in economies with imperfect political institutions. The trade regime interacts with industrial policy and regulations on capital mobility in governing capital accumulation. In a capital‐scarce economy, capitalist oligarchs striving for import substitution industrialization (ISI) initially shelter the economy from trade, while promoting industrial policies that promote total factor productivity growth in the manufacturing sector. This gradually shifts the comparative advantage toward manufacturing and renders the economy attractive to foreign investors. Allowing for trade and foreign capital inflows are thus complementary policies that spur growth in the capital oligarchy. By contrast, landed oligarchs in a capital‐scarce economy favor openness to trade at an early stage of development, neglect industrial policies, and block foreign capital to maximize extractable rents. The policy mix causes the economy to stagnate. Consistent with the experiences of South Korea and Argentina in the postwar era, the model predicts that the success of ISI policies depends crucially on the conditions governing the incentives for capital accumulation. (JEL F10, F20, P40, P50, O10, O24)     

Diverse Muslims in a Racialized Landscape: Race,Ethnicity and Islamophobia in the American City of Milwaukee,Wisconsin

Studying the racially and ethnically diverse Muslim minority population in any US city must take into account the racialized landscape prevailing in the city. Milwaukee is a highly racially segregated city, where residential patterns have been shaped by decades of immigration by various ethnic and racial groups, and by restrictions on residential housing, as well as industrialization, deindustrialization and suburbanization. This paper presents findings of an ethnographic research along with the results of a household survey of Muslims in Milwaukee in the context of Milwaukee's urban landscape. Muslims in Milwaukee are racially, ethnically and linguistically diverse. Their patterns of residence and of worship suggest the influence of not only segregation and the typical patterns of ethnic immigration but also clustering and dispersal. Patterns of residences also show the influence of not only Muslim leadership and organization but also of the racialized landscape of the city. Our survey provides a portrait of a community negotiating racial and ethnic differences and solidarities.     

Intersectional Approaches in Health‐Risk Research: A Critical Review

The overall aim of this article is to explore how the intersectional approach is used in health‐risk research. The concept has been recognized in health‐risk research since the early 2000s, but not as much as in the broader field of health‐inequality studies. However, in the past 5 years, Social Science and Medicine has published a series of review articles that argue for the necessity of bringing intersectional perspectives to the field of health‐risk studies more generally and quantitative health‐risk research in particular. Asking what it means for health‐risk researchers to practise intersectionality shows the implications of translating a theoretical approach across fields and disciplines. When applying intersectional theory in relation to health‐risks, the theoretical conceptualization of health and risk are often very limited and treated as fixed categories – something that becomes problematic when taken within an intersectional framework. This does not mean that this work is unimportant, but rather that the link between theoretically driven intersectionality and empirical‐focused health research is weak. In order to overcome the dividing lines of health‐risk research and intersectionality, we argue for a new approach that echoes the ‘doing gender’ of gender studies: doing risk.     

Assessing multiple prior models of behaviour under ambiguity

The recent spate of theoretical models of behaviour under ambiguity can be partitioned into two sets: those involving multiple priors and those not involving multiple priors. This paper provides an experimental investigation into the first set. Using an appropriate experimental interface we examine the fitted and predictive power of the various theories. We first estimate subject-by-subject, and then estimate and predict using a mixture model over the contending theories. The individual estimates suggest that 24% of our 149 subjects have behaviour consistent with Expected Utility, 56% with the Smooth Model, 11% with Rank Dependent Expected Utility and 9% with the Alpha Model; these figures are close to the mixing proportions obtained from the mixture estimates where the respective posterior probabilities of each of them being of the various types are 25%, 50%, 20% and 5%; and using the predictions 22%, 53%, 22% and 3%. The Smooth model appears the best.     

Inequality Assessment by Probabilistic Development Indices

Social Indicators Research - This paper analyses the Human Development Index (HDI) time series from 2010 to 2017. An alternative index is studied, which combines the same components of the HDI by...     

Probabilistic Analysis of Dam Accidents Worldwide: Risk Assessment for Dams of Different Purposes in OECD and Non-OECD Countries with Focus on Time Trend Analysis

This study presents probabilistic analysis of dam accidents worldwide in the period 1911–2016. The accidents are classified by the dam purpose and by the country cluster, where they occurred, distinguishing between the countries of the Organization for Economic Cooperation and Development (OECD) and nonmember countries (non-OECD without China). A Bayesian hierarchical approach is used to model distributions of frequency and severity for accidents. This approach treats accident data as a multilevel system with subsets sharing specific characteristics. To model accident probabilities for a particular dam characteristic, this approach samples data from the entire data set, borrowing the strength across data set and enabling to model distributions even for subsets with scarce data. The modelled frequencies and severities are combined in frequency-consequence curves, showing that accidents for all dam purposes are more frequent in non-OECD (without China) and their maximum consequences are larger than in OECD countries. Multipurpose dams also have higher frequencies and maximum consequences than single-purpose dams. In addition, the developed methodology explicitly models time dependence to identify trends in accident frequencies over the analyzed period. Downward trends are found for almost all dam purposes confirming that technological development and implementation of safety measures are likely to have a positive impact on dam safety. The results of the analysis provide insights for dam risk management and decision-making processes by identifying key risk factors related to country groups and dam purposes as well as changes over time.     

Engaging stakeholders through social networking: How nonprofit organizations are using Facebook

Since social networking sites, such as MySpace and Facebook, began allowing organizations to create profiles and become active members, organizations have started incorporating these strategies into their public relations programming. For-profit organizations have used these sites to help launch products and strengthen their existing brands; however, little is known about how nonprofit organizations are taking advantage of the social networking popularity. Through a content analysis of 275 nonprofit organization profiles on Facebook, this study examines how these new social networking sites are being used by the organizations to advance their organization's mission and programs. Solely having a profile will not in itself increase awareness or trigger an influx of participation. Instead careful planning and research will greatly benefit nonprofits as they attempt to develop social networking relationships with their stakeholders.     

Environmental Tobacco Smoke: Exposure-Response Relationships in Epidemiologic Studies

Demonstration of a dose-response relationship for environmental tobacco smoke (ETS) is an important indication of causality. Central to the analysis and interpretation of dose-response relations as described in epidemiological studies is the relationship between dose and exposure. It must be recognized that in studies of ETS we have only surrogate measures of dose, and these surrogate measures (based on exposure) are imperfect. The question-based measures of ETS exposure generally have not been standardized, may have limited validity and reliability, and cannot comprehensively describe total ETS exposure, exposure to individual ETS components, nor doses of biologically relevant agents at target sites. Nevertheless, useful data have been yielded in epidemiologic studies linking ETS exposure to increased respiratory infection and symptoms, reduced lung growth in children, and increased lung cancer in nonsmoking adults. The more consistent exposure-response data for studies on acute health in children may reflect the greater difficulty in measuring exposure in studies of chronic health in adults.     

A blueprint for career change when you don't know what you want to do

Follow the paths of a gynecologist turned investment banker and an internist who became a medical writer. Both used a proven process to change their careers and determine what they wanted to do.     

Facilitators and barriers to employment: the perspectives of people with psychiatric disabilities and employment service providers

This study examined the perspectives of people with psychiatric disabilities and employment service providers regarding factors that most directly help or hinder consumer efforts to obtain and maintain employment. Forty-four adults with serious mental illness (SMI) (consumers) and 30 providers participated in 12 focus groups across Massachusetts. We began both consumer and provider groups by posing two broad questions: 1) what factors most help people with SMI get and keep jobs (facilitators), and 2) what factors most prevent people with SMI from getting and keeping jobs (barriers)? Data were analyzed qualitatively and both person and environmental factors were highlighted. Among facilitators, participants agreed that quality consumer-provider relationships and individualized employment services are most instrumental in helping consumers achieve employment goals. Participants identified a range of environmental barriers, including issues related to the service system, entitlement programs, non-human resources, and social stigma. Implications for services are discussed.