The Tradeoffs of Inclusionary Zoning: What Do We Know and What Do We Need to Know?

Inclusionary zoning (IZ), a controversial planning tool for supplying affordable housing, grew significantly during the 2000s' housing boom in the USA. We review the resultant scholarly literature on IZ. Our key reading is that IZ can include both tradeoffs and practical efforts to address them. There is also a need for additional research. More specifically, we find that IZ programs (i) have many components and vary considerably; (ii) can increase affordable housing production and social integration, but there can be a tradeoff between these goals; and (iii) can have slight adverse market effects, but cost-offsets can help mitigate the outcomes. Finally, we discuss the need for more research, particularly in-depth case studies and make suggestions.     

Robustness of a bayes estimator for the mean of a normal population with nonnormal prior

The posterior distribution, Bayes estimator and risk are studied for the mean of a normal population (known variance) with respect to a moderately noimormal prior distribution. Extensive numerical work has suggested limiting behaviour of the derived results with respect to the sample size and precision of the prior distribution.     

Bayes prediction of Poisson regression superpopulation mean with a non gamma prior

We consider Khamis' (1960) Laguerre expansion with gamma weight function as a class of “near-gamma” priors (K-prior) to obtain the Bayes predictor of a finite population mean under the Poisson regression superpopulation model using Zellner's balanced loss function (BLF). Kullback–Leibler (K-L) distance between gamma and some K-priors is tabulated to examine the quantitative prior robustness. Some numerical investigations are also conducted to illustrate the effects of a change in skewness and/or kurtosis on the Bayes predictor and the corresponding minimal Bayes predictive expected loss (MBPEL). Loss robustness with respect to the class of BLFs is also examined in terms of relative savings loss (RSL).     

Penalized variable selection in competing risks regression

Penalized variable selection methods have been extensively studied for standard time-to-event data. Such methods cannot be directly applied when subjects are at risk of multiple mutually exclusive events, known as competing risks. The proportional subdistribution hazard (PSH) model proposed by Fine and Gray (J Am Stat Assoc 94:496–509, 1999) has become a popular semi-parametric model for time-to-event data with competing risks. It allows for direct assessment of covariate effects on the cumulative incidence function. In this paper, we propose a general penalized variable selection strategy that simultaneously handles variable selection and parameter estimation in the PSH model. We rigorously establish the asymptotic properties of the proposed penalized estimators and modify the coordinate descent algorithm for implementation. Simulation studies are conducted to demonstrate the good performance of the proposed method. Data from deceased donor kidney transplants from the United Network of Organ Sharing illustrate the utility of the proposed method.     

Improved variance bounds for unbiased estimation in inverse sampling

Sathe (1977) derived sharper variance bounds for inverse sample unbiased estimator of the negative binomial parameter p. In the present writing improved upper/lower variance bounds are achieved and the relative improvement is numerically illustrated.     

Technology management in Indian companies

Since 1966, the Indian Government has progressively restricted imports of technology. Together with constraints on the growth of big business houses and of foreign firms, the next consequence of the Government's policies has been that it takes 3–5 years for a large firm to get a sanction for the import of technology and its utilization; this entails advance planning of technology imports, and advance action for the generation of alternatives within the country, should the imports not be allowed.

The restrictions on technology imports accentuated the need for internal research and development; at the same time, the recession that began in 1966, and whose effects still continue to be felt in some sectors, squeezed industrial profits and limited the resources that could be allocated to R & D. Hence large Indian firms have felt the need for methods of rational allocation of R & D resources among competing projects, and a number of them have been feeling their way towards general criteria of allocation. Some of their efforts are described here. They are essentially exploratory; but since R & D management is still a problematic area even in industrial countries, an analysis of Indian practices is perhaps of more general interest.     

A Simple Probabilistic Proof for the Alternating Convolution of the Central Binomial Coefficients

This note presents a simple probabilistic proof of the identity for the alternating convolution of the central binomial coefficients. The proof of the identity involves the computation of moments of order n for the product of standard normal random variables.     

Paper Versus Electronic Medical Records: The Effects of Access on Physicians' Decisions to Use Complex Information Technologies*

This study examines physicians' responses to complex information technologies (IT) in the health care supply chain. We extend individual‐level IT adoption models by incorporating a new construct: system accessibility. The main premise of the study is, when faced with a decision between alternate IT systems, individual users tend to select and make use of the technology or system that is most readily accessible. We discuss both physical and logical dimensions of accessibility as they relate to adoption of electronic medical records (EMR). Physical accessibility refers to the availability of computers that can be used to access EMR, while logical accessibility refers to the ease or difficulty of logging into the system. Using data from a survey of 199 physicians practicing in a large U.S. hospital, we show that, when deciding between the paper chart and EMR, accessibility is an important consideration in a physician's decision to use the system. Both dimensions of accessibility act as barriers to EMR use intentions through their indirect effect on physicians' perceptions of EMR usefulness and ease of use. Logical access also has a direct effect on EMR use intentions. We conclude that accessibility is an important factor that limits acceptance of complex IT such as EMR.     

Racial and ethnic diversity in senior centers: comparing participant characteristics in more and less multicultural settings

The 2008 Health Indicators Project surveyed a probability sample (N = 1,870) of New York City senior center participants. Attendees of racially and ethnically diverse and nondiverse senior centers were compared across 5 domains: demographics; health and quality of life; social support networks; neighborhood perceptions and engagement; health service access/utilization. Although homogeneous and diverse center participants demonstrate similar health and quality-of-life outcomes, those from diverse centers demonstrate greater risk of social isolation, receive less family support, and more likely seek medical care from hospitals or community clinics. Implications and future directions for research, practice and policy are discussed.     

Evaluating the ROC performance of markers for future events

Receiver operating characteristic (ROC) curves play a central role in the evaluation of biomarkers and tests for disease diagnosis. Predictors for event time outcomes can also be evaluated with ROC curves, but the time lag between marker measurement and event time must be acknowledged. We discuss different definitions of time-dependent ROC curves in the context of real applications. Several approaches have been proposed for estimation. We contrast retrospective versus prospective methods in regards to assumptions and flexibility, including their capacities to incorporate censored data, competing risks and different sampling schemes. Applications to two datasets are presented.