Philippine NGOs and Multistakeholder Partnerships: Three Case Studies

This paper discusses an emerging role for Philippine NGOs—building and maintaining intersectoral cooperation among various sectors of society to tackle key issues like agricultural development, HIV/AIDS, and agrarian reform. The three case studies elaborated in the paper show that Philippine NGOs play important intermediary and bridging functions crucial for the success of multistakeholder partnerships. NGOs are well equipped for this because of their middle-class and professional nature and because of various characteristics like autonomy, flexibility, and the ability to mobilize resources.     

Optimal sampling for repeated binary measurements

The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling cost, a term related to prediction, and if relevant, a term related to learning about a treatment effect To this end, they use a nonparametric probability model relying on a minimal number of assumptions. They show how their assumption of partial exchangeability for the binary sequence of data allows the sampling distribution to be written as a mixture of homogeneous Markov chains of order k. The implementation follows the approach of Quintana & Müller (2004), which uses a Dirichlet process prior for the mixture.     

What Survey Data Reveal about Price and Wage Rigidity in Portugal

This paper exploits the information collected from a survey conducted on a sample of Portuguese firms to study the patterns of firms’ price and wage adjustments and the extent of nominal price and wage rigidities. The evidence shows that the frequency of price changes varies substantially across sectors and depends on the intensity of competition, the share of labor costs and firms’ price reviewing behavior. The results also suggest that the constraint imposed by the presence of downward nominal wage rigidity is less important in firms where the fraction of permanent and high‐skilled workers is lower and the share of flexible pay components is higher.     

Regression models to dependence for exceedance

Extreme Value Theory (EVT) aims to study the tails of probability distributions in order to measure and quantify extreme events of maximum and minimum. In river flow data, an extreme level of a river may be related to the level of a neighboring river that flows into it. In this type of data, it is very common for flooding of a location to have been caused by a very large flow from an affluent river that is tens or hundreds of kilometers from this location. In this sense, an interesting approach is to consider a conditional model for the estimation of a multivariate model. Inspired by this idea, we propose a Bayesian model to describe the dependence of exceedance between rivers, where we considered a conditionally independent structure. In this model, the dependence between rivers is captured by modeling the excess marginally of one river as a consequence of linear functions of the other rivers. The results showed that there is a strong and positive connection between excesses in one river caused by the excesses of the other rivers.     

Socioeconomic System of the Oil Boom and Rural Community Development in Western North Dakota

An oil boom is a complex social and economic phenomenon. The socioeconomic system presented in this article represents a novel effort to explicate boom impacts and changes, within a systems framework, at the community level to enhance community planning and development efforts. Most boomtown studies focus on longitudinal changes of a boom‐bust‐recovery cycle or social‐disruption‐based approaches. This article is an effort to demonstrate that longitudinal changes or social disruptions of a boom manifest through the interactions and interrelationships between social entities and stakeholders acting within the boom conditions and surrounding conditions. The socioeconomic system approach in this article analyzes the boom as a system, which provides a useful lens for many other rural communities currently experiencing unconventional oil and gas development in the United States. The socioeconomic system highlights five main challenges or factors that need to be addressed through community development strategies: develop affordable housing, invest in community infrastructure, expand public services, attract new businesses to the area, and develop better community integration strategies to build trust and unity within the community. This article is qualitative and exploratory in nature. As a result, it explicates the functions, structure, and relationships between system entities to provide a broader understanding of coherence, conflicts, and synergies within a system.     

Buying Citizenship? Chinese Golden Visa Migrants in Portugal

In 2011, Portugal launched a residence permit programme to attract foreign investment from non-EU citizens, with Chinese business migrants representing those taking most advantage of this initiative. This paper analyses this policy measure and assesses its social consequences, as a new way that Chinese migrants have to enter Portugal. Firstly, we characterise this programme by identifying its principles and legal requirements, using official data from 2012 to 2018. We then describe the emergence of this type of residence permit as a response to the financial crisis of 2011, and as part of a neoliberal political rationality that has guided a governance model since this time. Next, we characterise the profile of Chinese citizens who benefit from this initiative and claim residence permits on the basis of their economic power. Finally, we discuss the social and political implications of this kind of entrance to Portugal, to provide some insights for policymakers.     

Assessment of a hybrid reform path: Social and labour policies in Uruguay, 1985–2005

Since Uruguay's return to democracy in 1985, a shift in economic and social policy has radically changed the country. The outcomes have been shaped by adjustment to international circumstances “by default”, stop‐go market reforms and the inconsistent pace and content of reforms. Unlike other countries in the region, Uruguay has not followed a resolutely neo‐liberal course, but rather a hybrid one. The end result has been a liberal labour regime coupled with a three‐dimensional social policy balancing the market, the old corporatist welfare State and the new welfare state targeting specific beneficiaries.     

A Bayesian model for multiple change point to extremes,with application to environmental and financial data

Abrupt changes often occur for environmental and financial time series. Most often, these changes are due to human intervention. Change point analysis is a statistical tool used to analyze sudden changes in observations along the time series. In this paper, we propose a Bayesian model for extreme values for environmental and economic datasets that present a typical change point behavior. The model proposed in this paper addresses the situation in which more than one change point can occur in a time series. By analyzing maxima, the distribution of each regime is a generalized extreme value distribution. In this model, the change points are unknown and considered parameters to be estimated. Simulations of extremes with two change points showed that the proposed algorithm can recover the true values of the parameters, in addition to detecting the true change points in different configurations. Also, the number of change points was a problem to be considered, and the Bayesian estimation can correctly identify the correct number of change points for each application. Environmental and financial data were analyzed and results showed the importance of considering the change point in the data and revealed that this change of regime brought about an increase in the return levels, increasing the number of floods in cities around the rivers. Stock market levels showed the necessity of a model with three different regimes.