THE WELFARE IMPLICATIONS OF MORAL HAZARD AND ADVERSE SELECTION IN COMPETITIVE INSURANCE MARKETS

I model a competitive insurance market with both moral hazard and adverse selection, and analyze the effect on welfare when both problems are present simultaneously. An examination of the interaction between these two problems leads to two hypotheses. First, the nature of the equilibrium contracts is such that each problem partially offsets the welfare loss associated with the other. And second, the degree to which this occurs increases as agents become more heterogeneous. Simulation results overwhelmingly support both hypotheses.     

Nonresponse weighting adjustment using estimated response probability

To reduce nonresponse bias in sample surveys, a method of nonresponse weighting adjustment is often used which consists of multiplying the sampling weight of the respondent by the inverse of the estimated response probability. The authors examine the asymptotic properties of this estimator. They prove that it is generally more efficient than an estimator which uses the true response probability, provided that the parameters which govern this probability are estimated by maximum likelihood. The authors discuss variance estimation methods that account for the effect of using the estimated response probability; they compare their performances in a small simulation study. They also discuss extensions to the regression estimator.     

Faster algorithm to find anti-risk path between two nodes of an undirected graph

For a weighted 2-edge connected graph G=(V,E), we are to find a “minimum risk path” from source s to destination t. This is a shortest s?t path under the assumption that at most one edge on the path may be blocked. The fact that the edge is blocked is known only when we reach a site adjacent to the blocked edge. If n and m are the number of nodes and edges of G, then we show that this problem can be solved in O(n ²) time using only simple data structures. This is an improvement over the previous O(mn+n ²logn) time algorithm. Moreover, with use of more complicated data structures like Fibonacci Heaps and transmuters the time can be further reduced to O(m+nlogn).     

Utilizing Bayesian predictive power in clinical trial design

The Bayesian paradigm provides an ideal platform to update uncertainties and carry them over into the future in the presence of data. Bayesian predictive power (BPP) reflects our belief in the eventual success of a clinical trial to meet its goals. In this paper we derive mathematical expressions for the most common types of outcomes, to make the BPP accessible to practitioners, facilitate fast computations in adaptive trial design simulations that use interim futility monitoring, and propose an organized BPP-based phase II-to-phase III design framework.     

A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates

We present a unifying approach to multiple testing procedures for sequential (or streaming) data by giving sufficient conditions for a sequential multiple testing procedure to control the familywise error rate (FWER). Together, we call these conditions a ‘rejection principle for sequential tests’, which we then apply to some existing sequential multiple testing procedures to give simplified understanding of their FWER control. Next, the principle is applied to derive two new sequential multiple testing procedures with provable FWER control, one for testing hypotheses in order and another for closed testing. Examples of these new procedures are given by applying them to a chromosome aberration data set and finding the maximum safe dose of a treatment.     

Race,military service,and marital timing: Evidence from the NLSY-79

I use data from the 1979 National Longitudinal Study of Youth to examine the relationship between military service and marital timing for white men and black men during the 1980s. I use information about active-duty and reserve-duty service as well as veteran status to implement strong controls for selectivity. I find that active-duty military service increases the probability of first marriage for both whites and blacks. In part, this relationship is due to positive selectivity into the military and, for whites, to greater income and economic stability. Above and beyond the effects of selectivity, income, and economic stability, the effect of active-duty military service is particularly strong for black men.     

Disparities in Healthcare Utilization Among Adults with Obesity in the United States,Findings from the NHIS: 2006–2015

Population Research and Policy Review - Few studies of disparities consider logistical hurdles faced by adults with obesity in obtaining needed healthcare. This study compared adults with obesity...     

FIRST AND SECOND MARITAL DISSOLUTION: A DECOMPOSITION EXERCISE FOR WHITES AND BLACKS

Observed distributions of marital dissolutions occurring over time (and thus the divorce rate or other measures of marital dissolution) are dependent on two basic factors: (1) the relative distribution across a population of characteristics influencing the probability of marital dissolution and (2) the relative degree to which each of these characteristics raise or lower the probability of marital dissolution. The purpose of this article is to examine the impact of each of these two factors on the observed distributions of marital dissolution for whites and blacks for both first and second marriages. Using an appropriate statistical methodology, the results indicate a relatively complex pattern of differences between marriage orders and race groups.