CONSISTENT VARIANCE OF THE LAPLACE‐TYPE ESTIMATORS: APPLICATION TO DSGE MODELS

The Laplace‐type estimator has become popular in applied macroeconomics, in particular for estimation of dynamic stochastic general equilibrium (DSGE) models. It is often obtained as the mean and variance of a parameter's quasi‐posterior distribution, which is defined using a classical estimation objective. We demonstrate that the objective must be properly scaled; otherwise, arbitrarily small confidence intervals can be obtained if calculated directly from the quasi‐posterior distribution. We estimate a standard DSGE model and find that scaling up the objective may be useful in estimation with problematic parameter identification. It this case, however, it is important to adjust the quasi‐posterior variance to obtain valid confidence intervals.     

Extended Framework for Modeling Choice Behavior

We review the case against the standard model of rational behavior and discuss the consequences of various anomalies of preference elicitation. A general theoretical framework that attempts to disentangle the various psychological elements in the decision-making process is presented. We then present a rigorous and general methodology to model the theoretical framework, explicitly incorporating psychological factors and their influences on choices. This theme has long been deemed necessary by behavioral researchers, but is often ignored in demand models. The methodology requires the estimation of an integrated multi-equation model consisting of a discrete choice model and the latent variable model system. We conclude with a research agenda to bring the theoretical framework into fruition.     

Controlling Sellers Who Provide Advice: Regulation and Competition*

A monopoly seller advising buyers about which of two goods fits their needs may be tempted to recommend the higher margin good. For the seller to collect information about a buyer’s needs and provide truthful advice, the profits from selling both goods must be similar enough, i.e., within an implementability cone. The optimal regulation controls pricing distortions and information-collection incentives separately via price regulation and fixed rewards respectively. This no longer holds when the seller has private information about costs as both problems interact. We study whether competition and the threat by buyers to switch sellers can substitute for regulation.     

Private equity benchmarks and portfolio optimization

Portfolio optimization using private equity is typically based on one of three indices: listed private equity, transaction-based private equity, or appraisal value-based private equity indices. However, we show that none of these indices is fully suitable for portfolio optimization. We introduce here a new benchmark index for venture capital and buyouts, which is updated monthly, adjusted for autocorrelation (de-smoothing), and available contemporaneously. We illustrate how our benchmark enables superior quantitative portfolio optimization.     

Managerial career success in Canadian organizations: is gender a determinant?

The purpose of this research is to examine which of the following approaches - human capital, family context, socio-economic origin, work investment and reward expectations and structural factors - can eliminate the influence of gender on career success of 3,060 Canadian managers. Taken individually, these different approaches did not counter the effect of gender on career success of managers. However, the use of an overall regression model containing all the approaches countered the effect of gender on the number and speed of promotion, but not on salary and hierarchical level. Finally, the results suggest that the career success of male and female managers is predicted by different variables.     

Cultural Readjustment After Crisis: Regulation and Learning from Crisis Within the UK Soccer Industry*

abstract Challenging Turner's (1976 , 1978 ) implicit assumption that cultural readjustment typically follows a crisis, this paper examines the evolution of the regulation of safety management within the UK soccer industry since 1946. Employing a longitudinal case study approach, the industry's response to four crises is examined. This study explores the industry's response to changes in the regulatory framework, through the lens of Gouldner's (1954 ) patterns of industrial bureaucracy and institutional theory. The persistence of indulgent and mock patterns of behaviour, following a series of disasters, challenges Turner's implicit assumption. Although a move towards a punitive approach to regulatory behaviour effected some changes, there was limited evidence of cultural readjustment due in part to a ‘mindset of invulnerability’ ( Wicks, 2001 ). This included the fixed belief that hooligan behaviour was the primary problem facing the industry. Our findings suggest that more participative forms of regulation encourage more effective learning from crisis because they challenge core organizational and individual assumptions.     

Perceptions of High‐Involvement Work Practices,Person‐Organization Fit,and Burnout: A Time‐Lagged Study of Health Care Employees

Previous research demonstrates that high‐involvement work practices (HIWPs) may be associated with burnout (emotional exhaustion and depersonalization); however, to date, the process through which HIWPs influence burnout is not clear. This article examined the impact of HIWPs on long‐term burnout (emotional exhaustion and depersonalization) by considering the mediating role of person‐organization fit (P‐O fit) in this relationship. The study used a time‐lagged design and was conducted in a Canadian general hospital among health care personnel. Findings from structural equation modeling (N = 185) revealed that perceived HIWPs were positively associated with P‐O fit. There was no direct effect of HIWPs on burnout; rather, P‐O fit fully mediated the relationship between employee perceptions of HIWPs and burnout. This study fills a void in the HR and burnout literature by demonstrating the role that P‐O fit has in explaining how HIWPs alleviate emotional exhaustion and depersonalization. © 2016 Wiley Periodicals, Inc.     

BREAKING DOWN A LONG-RUN MARGINAL COST OF AN LP INVESTMENT MODEL INTO A MARGINAL OPERATING COST AND A MARGINAL EQUIVALENT INVESTMENT COST

In linear programming, a simple observation on duality allows us to break down a long-run marginal cost into a marginal operating cost and a marginal equivalent investment cost. This marginal equivalent investment cost is an acceptable means of allocating the equivalent investment cost to the different finished products (and similarly for the marginal operating cost). It is useful for determining the products on which a sales campaign should focus and for analyzing short-run marginal costs once an investment decision has been taken. As an example, we will examine a simplified investment model in the oil refining industry.     

Is there a pilot in the chain? Identifying the key drivers of change in the fresh pineapple sector

High-value export-oriented agriculture is today considered as a means of integrating smallholders into the world economy. This paper examines the geographic and organisational changes that have taken place in the fresh pineapple sector over the past 50 years. We begin with a historical analysis of the changes in leadership among producer countries, namely the dethroning of Côte d’Ivoire by Costa Rica. We show that this geographical shift has been accompanied by massive organisational changes: the pineapple sector is increasingly driven by large downstream actors who derive their power from the ability to impose their definition of quality to the whole chain, and from economies of scale and scope. Although varietal innovation plays a key role throughout the period, commercial and logistical innovation are of increasing strategic importance. However, because of the constraints imposed by the concerned supply chains, small farmers risk being excluded or marginalized.     

Statistical inference for moving‐average Lévy‐driven processes: Fourier‐based approach

We consider a new method of semiparametric statistical estimation for the continuous‐time moving‐average Lévy processes. We derive the convergence rates of the proposed estimators and show that these rates are optimal in minimax sense.