The effects of a modest incentive on information overload in an investment analysis task

This paper investigates the effects of performance based monetary incentives on cue usage within the information overload paradigm. Participants suggested appropriate stock prices for hypothetical companies based on either six or nine non-correlated information cues. The presence of monetary incentives motivated increased response times compared to participants who did not receive incentives. This in turn resulted in higher levels of information usage than has been observed in previous studies. The results support the view that information processing capacity imposes a limit on the amount of information processed per unit of time rather than on the amount of information that can be processed in total.     

Capital, corporate income taxes, and catastrophe insurance

We provide estimates of the equity capital needed and the resulting tax costs incurred when supplying catastrophe insurance/reinsurance using a partial equilibrium model that incorporates a specific loss distribution for US catastrophe losses. After consideration of insurer investment in tax-exempt securities, tax loss carry-back/forward provisions, and personal taxes, our results imply that the tax costs of equity finance alone have a substantial effect on the cost of supplying catastrophe reinsurance. These results help explain a variety of industry developments that reduce tax costs. Also, when coupled with non-tax costs of capital, these results help explain the limited scope of catastrophe insurance/reinsurance.     

A Simple Model of Insurance Market Dynamics

Abstract

This paper constructs and studies a simple but realistic model of an insurance market. The model has a minimalist construction in the sense that the number of parameters defining it is strictly limited and the elimination of any one of them would destroy its realism. There are 11 essential parameters. Each of the parameters has a physical interpretation. Some determine competitive effects within the market, some barriers to entry, and so on. The effect of each on various aspects of the market is examined in the presence of simulated loss experience. The aspects of the market considered include stability of premium rates, profitability, and market concentration. Some of the parameters are capable of use as regulatory controls. Two parameters, in addition to the original 11, are explicit price controls. Despite its simplicity, the model displays considerably complex behavior. Some results are intuitive, but some are not. For this reason, regulatory controls need to be applied with great caution lest they induce perverse effects, possibly even the reverse of those intended. The effect of the parameters on market behavior is first studied in the absence of catastrophic events from the loss experience. Subsequently, the effect of a single such event is studied.     

LIQUIDITY AND TICK SIZE: DOES DECIMALIZATION MATTER?

The effect of the move to decimalization by the Toronto Stock Exchange, where the minimum tick size was decreased to $0.05 from $0.125, is examined. Liquidity is measured by the price impact of unexpected volume. Results show an unambiguous gain to investors. Effective spreads decrease significantly, but the price impact is unaffected. In addition, evidence indicates an increase in trading activity in absolute terms as well in relation to U.S. exchanges for cross-listed stocks. This is consistent with the observed decrease in transaction costs.     

From Cause To Effect? A new agenda for urban regeneration in Scotland

Social Inclusion Partnerships (SIPs) are the most recent urban regeneration initiative in Scotland. This measure builds on the experience of previous initiatives, in particular the Urban Partnerships in peripheral public sector housing estates and the Priority Partnership Areas (PPA) initiative. However, SIPs would appear to present an advance on previous policy initiatives in that they aim to focus on the causes of urban decline rather than simply the symptoms of social, economic and physical distress. Nevertheless, it is questionable whether this is sufficient to address the complex processes associated with urban concentrations of social exclusion.     

Reply to Comments on “Bayesian Analysis of Simultaneous Demand and Supply”

Quantitative Marketing and Economics -     

Predictors of glycemic control and diabetes-related costs among type 2 diabetes patients initiating therapy with liraglutide in the United States

Objective:

Liraglutide has been shown to significantly improve glycemic control and reduce body weight while minimizing the risk of hypoglycemia in adult patients with type 2 diabetes (T2D). This study aimed to identify characteristics that predict clinical and economic outcomes associated with liraglutide therapy in clinical practice in the US.

Methods:

Using the Truven Health MarketScan Laboratory Database, glycemic control (A1C <7%) and diabetes-related costs were evaluated in T2D patients initiating liraglutide between January 1, 2010 and June 30, 2012. Patients were required to have ≥1 post-index claim for liraglutide and A1C values at baseline and 6 months follow-up. All valid values of baseline A1C were included. Patients previously treated with GLP-1 receptor agonist(s) or insulin, or with evidence of type 1 diabetes, pregnancy, or gestational diabetes during the study period were excluded. Multivariable regression models were used to identify predictors of glycemic control and diabetes-related costs.

Results:

Of 417 patients newly treated with liraglutide, 54.0% achieved glycemic control (A1C <7%) during follow-up. Factors associated with increased odds of glycemic control during follow-up were: being female, POS/EPO health plan type, baseline A1C, early liraglutide initiation (0–1 prior oral anti diabetics [OADs] vs ≥2), adherence to liraglutide (defined as the proportion of days covered [PDC]), and diabetic retinopathy. Being female, earlier liraglutide initiation (0–1 prior OADs), and higher patient share of liraglutide costs were associated with significantly lower diabetes-related costs during follow-up. Factors associated with significantly higher post-index diabetes-related costs were: higher baseline A1C, baseline use of sulfonylureas, and diabetic retinopathy.

Conclusions:

Within this commercially-insured population of T2D patients treated with liraglutide, gender, baseline A1C, early liraglutide initiation (0–1 prior OADs), diabetic retinopathy, better adherence, and patient share of liraglutide costs were associated with increased odds of achieving glycemic control and the odds of having higher or lower diabetes-related costs.     

An economic efficiency study on different regions of Ghana via Slack-based data envelopment analysis and regression analysis

In this article, we evaluate the efficiency of the 10 different regions of Ghana using slack-based data envelopment analysis, a nonparametric linear programming technique. Furthermore, we analyse the variable effects on the efficiency of the regions by various regression models using bootstrap sampling technique. The data come from the 1991/1992 and 1998/1999 Ghana Living Standards Survey. Our results show that wealth is not strongly related to efficiency. For example, the study indicates that the Brong–Ahafo region is the most efficient region but not the most wealthy in Ghana. Generally, urban regions are not found to be among the most efficient regions due to the high expenditures. The regression analysis shows that female heads of household have an overall positive effect on efficiency. In addition, any form of education obtained is also found to have a significant positive effect on efficiency.