There and Back Again: The De‐Licensing and Re‐Licensing of Barbers in Alabama

The economic effects of occupational licensing remain an understudied topic, but even less is known about the effects of the removal of licensing legislation. In this article, we take advantage of a natural experiment that occurred in the state of Alabama. Alabama was the last state to begin licensing barbers in 1973 and also the only state to de‐license barbers (in 1983). Relying on data from 1974 to 1994, we find evidence that barber de‐licensing reduced the average annual earnings of barbers as well as the number of cosmetologist employees per million residents in Alabama, although not all our results are statistically significant. We also find evidence that de‐licensing resulted in small increases in the number of barber shops and decreases in the number of cosmetology shops in Alabama. In recent decades, a number of attempts have been made to re‐license the occupation — most recently with a barber licensing bill that became law in September 2013. The result is that barbering in Alabama is once again a licensed occupation. Our limited evidence suggests that the re‐licensing of barbers in Alabama may already have had an effect on pay and on the number of barber shops.     

E-Business Transformation via Alliance Clusters

The number of firms using alliances as part of their corporate venturing or market entry strategies has surged over the past decade. Three common reasons cited for pursuing alliances are technology convergence, market access and alliance partners' complementary resources. This paper contrasts the alliance strategies of HP and IBM, two major competitors in electronic services (i.e. Internet-based 'e- service') businesses, using the Familiarity Matrix as a display tool to portray the strategies. Whereas the HP strategy is to attempt to establish its technology infrastructure as the standard e-services infrastructure on the Internet, IBM aims to position its IBM Global Services, rather than its technology, at the center of this ecosystem.     

Water and Economic Growth

Several hydrological studies forecast a global problem of water scarcity. This raises the question as to whether increasing water scarcity may impose constraints on the growth of countries. The influence of water utilisation on economic growth is depicted through a growth model that includes this congestible nonexcludable good as a productive input for private producers. Growth is negatively affected by the government's appropriation of output to supply water but positively influenced by the contribution of increased water use to capital productivity, leading to an inverted-U relationship between economic growth and the rate of water utilisation. Cross-country estimations confirm this relationship and suggest that for most economies current rates of fresh water utilisation are not yet constraining growth. However, for a handful of countries, moderate or extreme water scarcity may adversely affect economic growth. Nevertheless, even for water-scarce countries, there appears to be little evidence that there are severe diminishing returns to allocating more output to provide water, thus resulting in falling income per capita. These results suggest caution over the claims of some hydrological-based studies of a widespread global 'water crisis'.     

ASSET POVERTY IN THE UNITED STATES, 1984–99: EVIDENCE FROM THE PANEL STUDY OF INCOME DYNAMICS

Using PSID data for the years 1984–99, we estimate the level and severity of asset poverty. We find that despite a sharp decline in the official poverty rate, the asset poverty rate barely budged over this period. Moreover, the severity of asset poverty increased during this period. The likelihood of being asset-poor decreased for those who are college graduates or married with children, whereas it increased for those who are white, for the unmarried elderly, and for those without a college degree. Lifetime events such as changes in job market, marital and homeownership status are correlated with transitions into and out of asset poverty.     

An Analysis of the Determinants and Shareholder Wealth Effects of Mutual Fund Mergers

This study examines the determinants of mutual fund mergers and their subsequent wealth impact on shareholders of target and acquiring funds. Results indicate significant improvements in postmerger performance and a reduction in expense ratios for target fund shareholders. In contrast, acquiring fund shareholders experience a significant deterioration in postmerger performance. The net asset flows continue to remain negative for the combined fund in the year following the merger. The likelihood of a fund merger is inversely related to fund size for both within- and across-family mutual fund mergers. However, poor past performance is a significant determinant for only within-family mergers.     

Pricing Options on an Asset with Bernoulli Jump-Diffusion Returns

The price movements of certain assets can be modeled by stochastic processes that combine continuous diffusion with discrete jumps. This paper compares values of options on assets with no jumps, jumps of fixed size, and jumps drawn from a lognormal distribution. It is shown that not only the magnitude but also the direction of the mispricing of the Black-Scholes model relative to jump models can vary with the distribution family of the jump component. This paper also discusses a methodology for the numerical valuation, via a backward induction algorithm, of American options on a jump-diffusion asset whose early exercise may be profitable. These cannot, in general, be accurately priced using analytic models. The procedure has the further advantage of being easily adaptable to nonanalytic, empirical distributions of period returns and to nonstationarity in the underlying diffusion process.     

Snapshot samples

We consider a coverage model where an initial event that occurs at some point in time triggers an activity of random duration that leads to some subsequent event. A snapshot sample is constructed at a fixed point in chronological time either by sampling only subjects where the initial event has occurred but the subsequent event has yet to occur (active subjects), or by sampling only subjects where both the initial and subsequent events have occurred (inactive subjects). The biases inherent in snapshot sampling can be neatly characterized by the properties of two random variables: the history (defined as the time the initial event occurs as measured into the past from the chronological point of sampling), and the active time (defined as the length of time between the initial and subsequent events). Though snapshot samples are biased, recognizing the biases enables correct inferences to be drawn from snapshot-sampled data. Considering only the case where and are independent random variables, this paper presents the probability models associated with snapshot sampling, demonstrates the problems that can occur, offers procedures for overcoming these problems, and applies the methods to interesting data sets.