Strip Clubs, “Secondary Effects” and Residential Property Prices

Municipalities regulate sexually oriented businesses (SOBs) through the “secondary effects” doctrine, which justifies limiting First Amendment speech protections inside SOBs. Negative effects of SOBs on nearby neighborhood quality are a frequently cited secondary effect. Little empirical evidence exists that SOBs generate such negative externalities. If SOBs generate negative externalities, then nearby property prices should decrease when a strip club opens. We estimate regression models of housing prices to determine the effect of new clubs on nearby residential property prices in Seattle, exploiting the termination of a 17‐year moratorium on openings and find no evidence that strip clubs have “secondary effects.”     

How Biased are Current Measures of Asian Output Growth and Price Change?

“Rational economic agents” making optimal choices, such as shifting to less expensive products, is a fundamental paradigm for theoretical and applied economics. This requires accurate and unbiased economic information on prices. Since the mid-1990s, several nations have switched to estimation methods for price indices that improve the accounting for the shifting basket of new goods and services produced in the economy. This change required the adoption of “ideal” measures of growth and price change. Nevertheless, many Asian nations continue to prepare non-ideal measures of growth and price change. This paper assesses the bias in current Asian measures of growth and price change and explores how such bias can lead to poor investor and policymaker decisions.     

Detecting hot and cold cycles using a Markov regime switching model—Evidence from the Chinese A-share IPO market

This paper focuses on detecting hot and cold IPO cycles in the Chinese A-share market using a Markov regime switching model. We introduce a set of observations to measure IPO activities, which include numbers of IPOs issued, levels of underpricing, market conditions and duration time from prospectus and listing, and thus establish a model to estimate these activities' average performance in hot and cold periods respectively. It is found that a hot period is related with an abundant supply of IPOs, high levels of underpricing, positive market conditions and short waiting time to listing after prospectus issue. Further, this paper depicts the turning points of hot and cold periods across the period from 1994 to 2005 for each observation. The cycles detected by the number of IPOs per month are the benchmark and then these cycles' robustness is tested by the other observations.     

Futures basis,inventory and commodity price volatility: An empirical analysis

We employ a large dataset of physical inventory data on 21 different commodities for the period 1993–2011 to empirically analyze the behavior of commodity prices and their volatility as predicted by the theory of storage. We examine two main issues. First, we analyze the relationship between inventory and the shape of the forward curve. Low (high) inventory is associated with forward curves in backwardation (contango), as the theory of storage predicts. Second, we show that price volatility is a decreasing function of inventory for the majority of commodities in our sample. This effect is more pronounced in backwardated markets. Our findings are robust with respect to alternative inventory measures and over the recent commodity price boom.     

Trigger happy or gun shy? Dissolving common‐value partnerships with Texas shootouts

The operating agreements of many business ventures include clauses to facilitate the exit of joint owners. In so‐called Texas Shootouts, one owner names a single buy‐sell price and the other owner is compelled to either buy or sell shares at that named price. Despite their prevalence in real‐world contracts, Texas Shootouts are rarely triggered. In our theoretical framework, sole ownership is more efficient than joint ownership. Negotiations are frustrated, however, by the presence of asymmetric information. In equilibrium, owners eschew buy‐sell offers in favor of simple offers to buy or to sell shares and bargaining failures arise. Experimental data support these findings.     

Employee involvement and group incentives in manufacturing companies: a multi-level analysis

The effects of employee involvement and group incentives on organisational commitment and turnover intention were examined using data from a survey of over 4,000 employees in 29 manufacturing companies. Using the mediated moderation model, we investigated the moderating role of capital intensity on the relationships between employee involvement and group incentives and these outcomes, and the mediating role of organisational commitment on the effects of employee involvement and group incentives on turnover intention. The findings revealed that employee involvement is more effective in capital-intensive companies than in labour-intensive companies, but group incentives are more effective in labour-intensive companies. The moderated effects on turnover intention were mediated through organisational commitment. Implications for company policies and future research are discussed.     

Innovations in Shopper Marketing: Current Insights and Future Research Issues

Shopper marketing refers to the planning and execution of all marketing activities that influence a shopper along, and beyond, the entire path-to-purchase, from the point at which the motivation to shop first emerges through to purchase, consumption, repurchase, and recommendation. The goal of shopper marketing is to enable a win–win–win solution for the shopper–retailer–manufacturer. Shopper marketing has emerged as a key managerial practice among manufacturers and retailers, who are eagerly embracing innovations in the different aspects of shopper marketing. We review current and potential innovations in shopper marketing. We identify the managerial challenges to achieving new win–win–win solutions among shoppers, manufacturers, and retailers in shopper marketing and outline future scenarios and research issues related to these challenges.     

Genetic Algorithms and Public Economics

To address common limitations of traditional economic models while maintaining a convenient mathematical framework, some economists have begun to employ genetic algorithms (GAs). GA optimization occurs in a way that may resemble the dynamics of actual decision making. It also alleviates any need for a closed form to the policy problem and can 'decide' between alternative optima. This paper provides a tutorial on the use of GAs in economics and constructs an example application in the area of tax policy formation. It also critically surveys the landscape of current uses, focusing on both the advantages and disadvantages of GAs in public economics contexts.     

Oil prices and transport sector returns: an international analysis

This study examines the role of oil prices in explaining ‘transport sector’ equity returns in 38 countries across the world. The findings of the study are strongly supportive of some role for oil prices in determining the transport sector returns for the countries falling within the ‘Developed’, ‘Europe’ and ‘G7’ groupings. In particular, by allowing for an asymmetry in our model, we find the oil factor to be jointly significant along with the presence of negative oil risk premium in these groupings. It is worth noting that these groups represent mature economies and stock markets. However, there appears to be no such evidence of a significant role for oil for other country groupings (named, Asia Pacific, Emerging and Latin America). Collectively these countries have a relatively short market history and/or are developing economies.