There goes our family friendly neighborhood: Residents’ perceptions of institutionally driven inner-city revitalization in Buffalo,NY

This article examines residents’ perceptions of inner-city revitalization in legacy cities. The analysis focuses on neighborhoods undergoing revitalization in a legacy city, Buffalo, NY. The article draws from data for a larger research project called Turning the Corner which was sponsored by the Urban Institute. The focus of that project was to identify planning strategies to address negative externalities caused by neighborhood change and heightened risks of displacement due to revitalization. Data were collected through a series of focus groups with residents and stakeholders in working-class, minority neighborhoods which were identified as being in the early stages of revitalization. Two findings emerged from the analysis. First, residents perceived urban revitalization to have a destabilizing effect on traditional neighborhoods. Second, residents perceived revitalization as detrimental to the sustainability of family-friendly neighborhoods. Insights from the analysis are used to prompt planners’ advocacy for revitalization strategies aimed at protecting minority, working-class neighborhoods when institutionally driven revitalization occurs.     

On the interaction between heterogeneity and decay in two-way flow models

In this article, we examine the role played by heterogeneity in the popular ??connections model?? of Jackson and Wolinsky (J Econ Theory 71(1):355?C365, 1996). We prove that when heterogeneity with respect to the values of resources, or the information decay parameter, depends on the identity of the player who forms the link, and the player who receives the link, all networks can be supported as Nash. Moreover, we show that Nash networks may not always exist. Interestingly, in the absence of decay, neither result occurs in a model with value heterogeneity. Finally, we show that when reducing heterogeneity, all networks cannot be supported as Nash, and the non-existence problem also disappears.     

Bayesian Estimation of Stochastic Frontier Models with Multivariate Skew t Error Terms

The study of proportions is a common topic in many fields of study. The standard beta distribution or the inflated beta distribution may be a reasonable choice to fit a proportion in most situations. However, they do not fit well variables that do not assume values in the open interval (0, c), 0 < c < 1. For these variables, the authors introduce the truncated inflated beta distribution (TBEINF). This proposed distribution is a mixture of the beta distribution bounded in the open interval (c, 1) and the trinomial distribution. The authors present the moments of the distribution, its scoring vector, and Fisher information matrix, and discuss estimation of its parameters. The properties of the suggested estimators are studied using Monte Carlo simulation. In addition, the authors present an application of the TBEINF distribution for unemployment insurance data.     

Permuted Sample Entropy

Sample entropy (SaEn) was recently developed to quantify the amount of regularity in data. However, the computation of this feature in an online application is infeasible. In this work, we examine a heuristic approach using permuted limited number of samples to estimate SaEn and discuss estimation variability in this context. We conclude that the computation of permuted SaEn provides a fair estimate of time series regularity that can be used in online applications.     

Estimation and prediction of Marshall–Olkin extended exponential distribution under progressively type-II censored data

In this paper, we consider Marshall–Olkin extended exponential (MOEE) distribution which is capable of modelling various shapes of failure rates and aging criteria. The purpose of this paper is three fold. First, we derive the maximum likelihood estimators of the unknown parameters and the observed the Fisher information matrix from progressively type-II censored data. Next, the Bayes estimates are evaluated by applying Lindley’s approximation method and Markov Chain Monte Carlo method under the squared error loss function. We have performed a simulation study in order to compare the proposed Bayes estimators with the maximum likelihood estimators. We also compute 95% asymptotic confidence interval and symmetric credible interval along with the coverage probability. Third, we consider one-sample and two-sample prediction problems based on the observed sample and provide appropriate predictive intervals under classical as well as Bayesian framework. Finally, we analyse a real data set to illustrate the results derived.     

A new generalization of the gamma distribution with application to negatively skewed survival data

We propose a three-parameter distribution referred to as the reflected- shifted-truncated gamma (RSTG) distribution to model negatively skewed data. Various properties of the proposed distribution are derived. The estimation of the model parameters is approached by maximum likelihood methods and the observed information matrix is derived. Monte Carlo simulations are performed to compare the performances of the proposed methods of estimation for both small and large samples. Using information theoretic criteria, we compare the RSTG distribution to the exponential, generalized F, generalized gamma, Gompertz, log-logistic, lognormal, Rayleigh, and Weibull distributions in three negatively skewed real datasets.     

ON THE ESTIMATION OF TOTAL WEIGHT IN CHEMICAL BALANCE WEXGHING DESIGNS1

This paper is concerned with the problem of estimation of total weight in a chemical balance weighing design. Some results regarding the estimability of the total weight are obtained and a lower bound for the variance of the estimated total weight is given. Finally, a series of weighing designs estimating the total weight in an ‘optimum’ manner is reported.     

Socially and privately optimal shareholder activism

This paper aims to evaluate the private and social gains of shareholder activism in an optimal contracting framework involving dispersed shareholders who may become active. The social gains are based on the welfare to stake holders in the firm, whereas the private gains are based on shareholder wealth only. Active shareholders influence the contracting game with the CEO, and therefore also the size and the distribution of the surplus to be split between the shareholders and the CEO. Although the model is very simple and focussing on the creation and distribution of welfare between the shareholders and the CEO, we nonetheless identify surprising divergence between the private and social profitability of shareholder activism. Shareholder activism that is privately profitable is not necessarily socially profitable. The distributional effects of shareholder activism may dominate the efficiency effects to make shareholder activism a negative social NPV project.