REIT Returns and Inflation: Perverse or Reverse Causality Effects?

Contrary to the Fisherian theory of interest, previous studies document a negative relationship between REIT (Real Estate Investment Trust) returns and inflation. In this research, we re-examine this perverse inflation behavior by testing for the causal relationships among REIT returns, real activity, monetary policy, and inflation through a vector error correction model. Our results indicate that the observations of REIT returns as perverse inflation hedges are spurious. The observed negative relationship between REIT returns and inflation is in fact a manifestation of the effects of changes in monetary policies. These findings are consistent with Darrat and Glascocks (1989) evidence of monetary effects on REIT returns.     

The effect of the Senior Citizens' Freedom to Work Act of 2000 on employer-provided pension and medical plans

On April 7, 2000 President Clinton signed the Senior Citizens' Freedom to Work Act. The act reduces the Social Security retirement benefit penalties previously imposed on 65- through 69-year-old workers who earned more than nominal incomes after enrolling in the program. This article analyzes the impact that the act will have on retirement decisions of the affected cohorts of older workers and closes with an analysis of how the act may affect employer-provided pension, medical and paid leave plans.     

Clueing in customers

Leonard L. Berry and Neeli Bendapudi When customers lack the expertise to judge a company's offerings, they naturally turn detective, scrutinizing people, facilities, and processes for evidence of quality. The Mayo Clinic understands this and carefully manages that evidence to convey a simple, consistent message: The needs of the patient come first. From the way it hires and trains employees to the way it designs its facilities and approaches its care, the Mayo Clinic provides patients and their families concrete evidence of its strengths and values, an approach that has allowed it to build what is arguably the most powerful brand in health care. Marketing professors Leonard Berry and Neeli Bendapudi conducted a five-month study of evidence management at the Mayo Clinic. They interviewed more than 1,000 patients and employees, observed hundreds of doctor visits, traveled in the Mayo helicopter, and stayed in the organization's many hospitals. Their experiences led them to identify best practices applicable to just about any company, in particular those that sell intangible or technically complex products. Essentially, the authors say, companies need to determine what story they want to tell, then ensure that their employees and facilities consistently show customers evidence of that story. At Mayo, the evidence falls into three categories: people, collaboration, and tangibles. The clinic systematically hires people who espouse its values, and its incentive and reward systems promote collaborative care focused on the patient's needs. The physical environment is explicitly designed for its intended effect on the patient experience. In almost every interaction, an organization's message comes through. "Patients first," the Mayo Clinic's message, is not the only story a medical organization could tell, but the way in which Mayo manages evidence to communicate this message is an example to be followed.     

A Bayesian-like estimator of the process capability index Cpmk

Pearn et al. (1992) proposed the capability index C_pmk, and investigated the statistical properties of its natural estimator for stable normal processes with constant mean μ. Chen and Hsu (1995) showed that under general conditions the asymptotic distribution of is normal if μ≠m, and is a linear combination of the normal and the folded-normal distributions if μ=m, where m is the mid-point between the upper and the lower specification limits. In this paper, we consider a new estimator for stable processes under a different (more realistic) condition on process mean, namely, P (μ≥m)=p, 0≤p≤1. We obtain the exact distribution, the expected value, and the variance of under normality assumption. We show that for P (μ≥m)=0, or 1, the new estimator is the MLE of C_pmk, which is asymptotically efficient. In addition, we show that under general conditions is consistent and is asymptotically unbiased. We also show that the asymptotic distribution of is a mixture of two normal distributions. RID="*" ID="*"  The research was partially supported by National Science Council of the Republic of China (NSC-89-2213-E-346-003).