An Economic Analysis of Auto Compensation Systems: Choice Experiences From New Jersey and Pennsylvania

Nearly since the first automobile traveled on U.S. soil, questions about how best to compensate people injured by their use have been raised. As early as in 1932, in fact, the tort system of imposing costs on negligent drivers was strongly criticized, and a system of compensation without regard to negligence recommended. Yet despite various efforts to identify and implement improved systems during the past more than 70 years, no clear best compensation mechanism has been found. Current discussions have focused on the “choice” system, under which insureds are allowed to select either a tort system or a no‐fault system of compensation at the time of insurance purchase. New Jersey and Pennsylvania, which implemented very similar choice programs in 1989 and 1990, respectively, offer an opportunity to observe the effects of choice on outcomes such as: use of attorneys, speed of payment, and consistency (equity) of payment. Our results indicate outcomes consistent with expectations in New Jersey (NJ), which switched from no‐fault to choice, but inconsistent with expectations in Pennsylvania (PA), which switched from tort to choice. Furthermore, analysis of tort versus no‐fault selectors postchoice in New Jersey and Pennsylvania does not offer clear evidence of no‐fault's lower administrative costs and speedier, more equitable payment in these jurisdictions.     

The Dynamics of Productivity: A Decompostion Approach Using Distribution Functions

In this paper we use a micro panel data set of Spanish manufacturing firms to measure the contributions of continuing firms and turnover to total factor productivity growth over the period 1990–1997. The paper proposes an approach to the decomposition of productivity growth that is based on the estimation of productivity distributions. We characterize the dynamics of productivity distributions defining counterfactual distributions and using non-parametric methods. The results we obtain indicate that incumbent firms are the main factor contributing to the change in the productivity distribution. Net entry contributes positively to TFP growth. Finally, changes in the relative weights of incumbent, entering and exiting firms produce a counter-cyclical movement of productivity.     

Trade Union Derecognition in Britain, 1988–1994

Since the initial studies of derecognition, many articles have focused on the issue, by and large pointing to a slow increase in derecognition. However, a small number have indicated it is actually much larger. This paper shows that derecognition is even greater than these suggest and that its nature has changed. The paper looks at the contexts of this rise but argues that derecognition should not yet be seen as a major problem facing the unions.     

On exact D-optimal designs with 2 two-level factors and n autocorrelated observations

In this paper we consider the exact D-optimal designs for estimation of the unknown parameters in the two factors, each at only two-level, main effects model with autocorrelated errors. The vector of the n random errors in the observed responses is assumed to follow a first-order autoregressive model (AR(1)). The exact D-optimal designs seek the optimal combinations of the design levels as well as the optimal run orders, so that the determinant of the information matrix of BLUEs for the unknown parameters is maximized. Bora-Senta and Moyssiadis (1999) gave some conjectures about the exact D-optimal designs based on their experience of several exhaustive searches. In this paper their conjectures are partially proved to be true.Received: January 2003 / Accepted: October 2003Partially supported by the National Science Council of Taiwan, R.O.C. under grant NSC 91-2115-M-008-013.Supported in part by the National Science Council of Taiwan, R.O.C. under grant NSC 89-2118-M-110-003.     

Ownership concentration and bank risk: international study on acquisitions

This paper explores the effects of different types of bank ownership concentration on changes in bank risk during acquisition years. Using multi-country data from 2000 to 2006, during which market failures caused by various crises and government interventions are less influential to acquisition decisions, we collect 505 banking acquisition deals from 23 countries to examine which type of ownership concentration (such as financial intermediary, capital investor, non-financial, and state ownership) brings larger changes to an acquirer’s risk from pre-acquisition year to post-acquisition year (including non-performing loans, capital adequacy ratio, loan loss reserve, and credit rating). The empirical analyses show that acquirer banks with a concentration of shares owned by financial intermediaries and non-financial firms experience larger risk changes during acquisition years. In contrast, the risk changes of acquirer banks with a concentration of capital investors and state ownership are lower. Robustness checks from the random effect estimation, instrumental variables model, reverse causality, and different subsamples of (non-)U.S. or different levels of regulation enforcement confirm these results.     

Data-driven tree structure for PIN models

Probability of informed trading (PIN) models characterize trading with certain types of information through a tree structure. Different tree structures with different numbers of groups for market participants have been proposed, with no clear, consistent tree used in the literature. One of the main causes of this inconsistency is that these trees are artificially proposed through a bottom-up approach rather than implied by actual market data. Therefore, in this paper, we propose a method that infers a tree structure directly from empirical data. More precisely, we use hierarchical clustering to construct a tree for each individual firm and then infer an aggregate tree through a voting mechanism. We test this method on US data from January 2002 for 7608 companies, which results in a tree with two layers and four groups. The characteristics of the resulting aggregate tree are between those of several proposed tree structures in the literature, demonstrating that these proposed trees all reflect only part of the market, and one should consider the proposed empirically driven method when seeking a tree representing the whole market.

     

Process innovation capability and subsequent collaborative team performance in travel planning: a knowledge exchange platform perspective

Purpose: Backpacker tourism is flourishing in this century as the high development of Internet technology which enables travellers to search for resources they need easier. The research goal of this study was to exam how virtual skill and collective efficacy affect process innovation capability and subsequent team performance of collaborative design team in a virtual community. Design/methodology/approach: In this study, we formulated the virtual team model from the perspectives of open innovation paradigm and virtual competence, and we collected virtual community participation samples from the online communities. Invitation emails were delivered to numerous trip plan initiators in two well-known online travel communities for filling survey questionnaires for this study. In total, 3000 invitation messages were mailed, of which 373 were returned completed. The model and hypotheses were tested by structural equation modelling. Findings: Virtual competence, including collective efficacy and virtual media skill, is the essential key to facilitate process innovation capability and subsequent team performance success. Besides, knowledge sharing significantly moderates the relationship between process innovation capability and the team performance. Originality/value: Backpackers in the online travel communities have to have not only the willingness to collaborate, but also the abilities of using the correct tool to help with their tasks. When a self-efficacy gets into collective efficacy, it enables the collaborative team to develop with good virtual competencies. Accordingly, trip plan initiator and participants of a virtual team are as expertise contributors between conformity in online communities and online compulsive control tendencies.     

TAXATION IN MATCHING MARKETS

We analyze the effects of taxation in two-sided matching markets where agents have heterogeneous preferences over potential partners. Our model provides a continuous link between models of matching with and without transfers. Taxes generate inefficiency on the allocative margin, by changing who matches with whom. This allocative inefficiency can be nonmonotonic, but is weakly increasing in the tax rate under linear taxation if each worker has negative nonpecuniary utility of working. We adapt existing econometric methods for markets without taxes to our setting, and estimate preferences in the college-coach football market. We show through simulations that standard methods inaccurately measure deadweight loss.