Linking Local Government Discretion and Accountability in Decentralisation

Decentralisation offers significant opportunities to improve government accountability by exerting stronger pressures both from below (demand) and above (supply). The literature contains many examples, however, where the potential has not been realised, partly because decentralisation reforms have often been introduced without thinking through their accountability implications. Even when accountability is taken into account, the efforts tend to emphasise either the supply or the demand side of the equation, but not both. Drawing on the sets of literature on fiscal, administrative and political decentralisation, this article presents a methodology for studying this.     

Temporal Relationships Among Depressive Symptoms,Risky Behavior Engagement,Perceived Control,and Gender in a Sample of Adolescents

The goals of the study were to examine whether (a) risky behaviors precede depressive symptoms or, conversely, depressive symptoms predict risky behavior engagement; (b) gender moderates the relationship between risky behavior engagement and depressive symptoms; and (c) perceived control strengthens the association between risky behavior engagement and depressive symptoms. At Time 1, 118 adolescents completed self‐report measures assessing perceived control, risky behavior engagement, and depressive symptoms. Follow‐up assessments occurred every 6 weeks (Times 2–5), and participants completed measures assessing risky behavior engagement and depressive symptoms. Results indicated that neither risky behavior engagement nor depressive symptoms emerged as main effects for the sample as a whole. When examining the relationship between depressive symptoms and risky behavior engagement as a function of gender, boys', but not girls', risky behavior engagement predicted higher levels of depressive symptoms. Irrespective of whether we examined boys or girls, depressive symptoms did not predict risky behavior engagement. With regards to the role of cognitive vulnerability, adolescents with lower levels of perceived control reported higher levels of depressive symptoms following risky behavior engagement. These findings suggest that both gender and cognitive vulnerability factors may potentiate the relationship between risky behavior engagement and subsequent depressive symptoms.     

Partial least squares estimator for single-index models

The partial least squares (PLS) approach first constructs new explanatory variables, known as factors (or components), which are linear combinations of available predictor variables. A small subset of these factors is then chosen and retained for prediction. We study the performance of PLS in estimating single-index models, especially when the predictor variables exhibit high collinearity. We show that PLS estimates are consistent up to a constant of proportionality. We present three simulation studies that compare the performance of PLS in estimating single-index models with that of sliced inverse regression (SIR). In the first two studies, we find that PLS performs better than SIR when collinearity exists. In the third study, we learn that PLS performs well even when there are multiple dependent variables, the link function is non-linear and the shape of the functional form is not known.     

Commercial sex between men: A prospective diary‐based study

This paper describes the results of a self‐reporting dairy completed by 186 male sex workers (MSWs) over a 2‐week period in Brisbane, Sydney, and Melbourne, Australia. The diary was completed following each commercial sex encounter by the MSW. The results reveal that MSWs reported 2088 commercial sex encounters during the study period, with an average of 11.2 encounters per MSW. The majority of sex encounters took place in either the client's or the MSW's residence, with significant variations by city. The average sexual encounter lasted 70 minutes, and comprised two sexual acts, masturbation and oral sex. Condom use was reported in 67.4% of all the encounters. Using the AIDS Council safe‐sex classification system, the majority of the commercial sex encounters fell in the “safer sex” category; however, there were significant differences by source of clients and place of the encounter. Use of drugs and alcohol reveal interesting patterns: Clients were more likely to use alcohol, while MSWs had significant differences of usage of the different drugs. This study demonstrates that the majority of MSWs are offering and practicing safe sex behaviours, however, MSWs working in the street setting are still likely to be practising unsafe sex. Male sex work is becoming an organised business and this provides opportunities to implement further public health interventions.     

Assimilation and discriminatory perceptions and experiences: The case of Hispanics in the United States

This paper examines the relationship between assimilation and discriminatory practices encountered by Hispanic-Americans. Theories of intergroup relations have typically assumed that as members of minority ethnic groups assimilate to a dominant group, they perceive and experience lower degrees of discrimination directed against them. In reviewing theories of majority–minority relations, we have called this the “assimilationist” model. This view has been opposed by some scholars who argue that as minority ethnics assimilate and become more knowledgeable of the larger society, they perceive and experience higher levels of discrimination against them and their group. We have termed this the “conflict model” of interethnic relations. Using data from the 2002 National Survey of Latinos, conducted by the Pew Hispanic Center, we test opposing hypotheses based on these two models. Our findings, while exploratory, largely support the assimilationist model, with a few contradictory results. We discuss these findings and their implications for understanding the current situation of Hispanics in the United States.     

Macro-Structural Determinants of Political Freedom in Developing Countries: A Cross-National Analysis

This study attempts to evaluate the impacts of macro-structural factors on political freedom in developing countries (DCs). Political freedom is conceptualized as civil liberty and political rights the general population of a society can enjoy in influencing public policy. The Freedom House indexes are used as measures of freedom. In explaining the individual countries’ differences in political freedom, this study considers the following factors: regime types, level of development, social structure, fractionalization, the state and military influence and external economic dependence. Empirical modeling of 118 DCs with regression techniques and ordered logit methods demonstrates that besides the regime effects, economic development generates favorable influence, while a large poor population and military spending produce negative impact on freedom. In the concluding section, we discuss the theoretical implications in comparative perspective.     

Asymptotic posterior normality for multiparameter problems

For asymptotic posterior normality in the one-parameter cases, Weng [2003. On Stein's identity for posterior normality. Statist. Sinica 13, 495–506] proposed to use a version of Stein's Identity to write the posterior expectations for functions of a normalized quantity in a form that is more transparent and can be easily analyzed. In the present paper we extend this approach to the multi-parameter cases and compare our conditions with earlier work. Three examples are used to illustrate the application of this method.     

Acceptance sampling based on truncated life tests for generalized Rayleigh distribution

This paper considers the problem of an acceptance sampling plan for a truncated life test when the lifetime follows the generalized Rayleigh distribution. For different acceptance numbers, confidence levels, and values of the ratio of the fixed experiment time to the specified mean life, the minimum sample sizes necessary to ensure the specified mean life are found. The operating characteristic values of the sampling plans and producer's risk are discussed. Some tables are presented and the use of the tables is illustrated by a numerical example.     

Two Variations of the Minimum Steiner Problem

Given a set S of starting vertices and a set T of terminating vertices in a graph G = (V,E) with non-negative weights on edges, the minimum Steiner network problem is to find a subgraph of G with the minimum total edge weight. In such a subgraph, we require that for each vertex s S and t T, there is a path from s to a terminating vertex as well as a path from a starting vertex to t. This problem can easily be proven NP-hard. For solving the minimum Steiner network problem, we first present an algorithm that runs in time and space that both are polynomial in n with constant degrees, but exponential in |S|+|T|, where n is the number of vertices in G. Then we present an algorithm that uses space that is quadratic in n and runs in time that is polynomial in n with a degree O(max {max {|S|,|T|}–2,min {|S|,|T|}–1}). In spite of this degree, we prove that the number of Steiner vertices in our solution can be as large as |S|+|T|–2. Our algorithm can enumerate all possible optimal solutions. The input graph G can either be undirected or directed acyclic. We also give a linear time algorithm for the special case when min {|S|,|T|} = 1 and max {|S|,|T|} = 2.The minimum union paths problem is similar to the minimum Steiner network problem except that we are given a set H of hitting vertices in G in addition to the sets of starting and terminating vertices. We want to find a subgraph of G with the minimum total edge weight such that the conditions required by the minimum Steiner network problem are satisfied as well as the condition that every hitting vertex is on a path from a starting vertex to a terminating vertex. Furthermore, G must be directed acyclic. For solving the minimum union paths problem, we also present algorithms that have a time and space tradeoff similar to algorithms for the minimum Steiner network problem. We also give a linear time algorithm for the special case when |S| = 1, |T| = 1 and |H| = 2.An extended abstract of part of this paper appears in Hsu et al. (1996).Supported in part by the National Science Foundation under Grants CCR-9309743 and INT-9207212, and by the Office of Naval Research under Grant No. N00014-93-1-0272.Supported in part by the National Science Council, Taiwan, ROC, under Grant No. NSC-83-0408-E-001-021.     

Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression

The monitoring of process/product profiles is presently a growing and promising area of research in statistical process control. This study is aimed at developing monitoring schemes for nonlinear profiles with random effects. We utilize the technique of principal components analysis to analyze the covariance structure of the profiles and propose monitoring schemes based on principal component (PC) scores. The number of the PC scores used in constructing control charts is crucial to the detecting power. In the Phase I analysis of historical data, due to the dependency of the PC-scores, we adopt the usual Hotelling T ² chart to check the stability. For Phase II monitoring, we study individual PC-score control charts, a combined chart scheme that combines all the PC-score charts, and a T ² chart. Although an individual PC-score chart may be perfect for monitoring a particular mode of variation, a chart that can detect general shifts, such as the T ² chart and the combined chart scheme, is more feasible in practice. The performances of the schemes under study are evaluated in terms of the average run length.