SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS

Abstract.  This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi-parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated.     

A note on interactions-driven business cycles

Within the standard Keynesian multiplier framework, extended by a micro-model of interactive formation of individual consumption propensities, we demonstrate that socioeconomic interactions can lead to cyclical fluctuations in aggregate economic activity. The underlying micro-model of direct interactions is a version of Alan Kirman’s generic opinion formation model, with an additional feedback effect from macroscopic variables on the transition probabilities. Our model engenders cyclical fluctuations of economic variables, despite the fact that neither the Keynesian multiplier model nor Kirman’s model does so on its own.     

Measuring volatility with the realized range

Realized variance, being the summation of squared intra-day returns, has quickly gained popularity as a measure of daily volatility. Following Parkinson [1980. The extreme value method for estimating the variance of the rate of return. Journal of Business 53, 61–65] we replace each squared intra-day return by the high–low range for that period to create a novel and more efficient estimator called the realized range. In addition, we suggest a bias-correction procedure to account for the effects of microstructure frictions based upon scaling the realized range with the average level of the daily range. Simulation experiments demonstrate that for plausible levels of non-trading and bid–ask bounce the realized range has a lower mean-squared error than the realized variance, including variants thereof that are robust to microstructure noise. Empirical analysis of the S&P500 index-futures and the S&P100 constituents confirms the potential of the realized range.     

Director expertise and co-option in industry superannuation funds?

This study examines whether independent directors who possess financial expertise and are independent from the CEO (i.e., non-co-opted) are associated with improved outcomes for industry superannuation funds. Our results highlight that independence alone is insufficient to improve fund outcomes. Instead, we find that only non-co-opted independent directors benefit fund members in terms of higher performance and lower fees. Moreover, we find that independent directors' financial expertise is not associated with fund performance and fees. Our study has implications for regulators and superannuation funds who are currently debating the need for one-third independent directors on the board of Australian superannuation funds.     

Branding strategies,marketing communication,and perceived brand meaning: The transfer of purposive,goal-oriented brand meaning to brand extensions

This article develops and tests a conceptual model of the transfer process whereby perceived similarity organized around shared goals facilitates the transfer of knowledge and affect from a parent brand to an extension of that brand. Empirical results, based on two well-known brands and two hypothetical product extensions for each brand, demonstrate that the availability of well-formed, goal-derived categories associated with a parent brand establishes an organizing framework for consumers' assessments of similarity thatfacilitates the transfer of consumer knowledge and attitude from the parent brand to a brand extension in another product category. This facilitating effect of similarity does not occur in the absence of goal-derived categories. The results also reveal how marketing communication can be used to facilitate the transfer process by framing similarity in terms of common goals. Implications are discussed for the organization of consumer knowledge and affect across product categories and for understanding prior research findings on brand extension. Ingrid M. Martin (imartin@csulb.edu) is an associate professor of marketing at California State University at Long Beach. Her research has examined issues in the area of consumer goals as they guide structuring and processing marketing information, product choice and usage. Her research has been published in theJournal of Consumer Research, Journal of Marketing Research, Journal of Public Policy & Research, and five book chapters. David W. Stewart (david.stewart@marshall.usc.edu) is the Robert E. Brooker Professor of Marketing in the Marshall School of Business at the University of Southern California. He is the immediate past editor of theJournal of Marketing. Dr. Stewart has authored or co-authored more than 200 publications and seven books. Shashi Matta (matta@marshall.usc.edu) is a doctoral candidate in marketing at the Marshal School of Business, University of Southern California. His research interests include branding, and services marketing. Shashi’s research has been published in theJournal of Consumer Research.     

Gaussian process regression for pricing variable annuities with stochastic volatility and interest rate

Decisions in Economics and Finance - In this paper, we investigate value and Greeks computation of a guaranteed minimum withdrawal benefit (GMWB) variable annuity, when both stochastic volatility...     

Using technology to improve the management of development impacts on biodiversity

The mitigation hierarchy (MH) is a prominent tool to help businesses achieve no net loss or net gain outcomes for biodiversity. Technological innovations offer benefits for business biodiversity management, yet the range and continued evolution of technologies creates a complex landscape that can be difficult to navigate. Using literature review, online surveys, and semi-structured interviews, we assess technologies that can improve application of the MH. We identify six categories (mobile survey, fixed survey, remote sensing, blockchain, data analysis, and enabling technologies) with high feasibility and/or relevance to (i) aid direct implementation of mitigation measures and (ii) enhance biodiversity surveys and monitoring, which feed into the design of interventions including avoidance and minimization measures. At the interface between development and biodiversity impacts, opportunities lie in businesses investing in technologies, capitalizing on synergies between technology groups, collaborating with conservation organizations to enhance institutional capacity, and developing practical solutions suited for widespread use.     

Does Team-Based Compensation Give Rise to Problems When Agents Vary in Their Ability?

This paper reports the results of an experiment on how team heterogeneity in terms of productivity influences both the revenue sharing proposed by the principal to the team and the employees' performance. Experimental evidence shows that when the team is heterogeneous, the principal does not try to motivate the agents through her sharing offer. Regardless of the level of team-based compensation, a large amount of free riding occurs since each agent is mainly influenced by his teammate's behavior. In contrast, when the team is homogeneous, agents are better able to cooperate, reciprocating the principal's offer.     

A strategic market game with seigniorage costs of Fiat money

Summary. A model that includes the cost of producing money is presented and the nature of the inefficient equilibria in the model are examined. It is suggested that if one acknowledges that transactions are a form of production, which requires the consumption of resources, then the concept of Pareto optimality is inappropriate for assessing efficiency. Instead it becomes necessary to provide an appropriate comparative analysis of alternative transactions mechanisms in the appropriate context. Received: September 5, 2000; revised version: May 3, 2001