The market power of OPEC 1973–2001

We apply a multi-equation dynamic econometric model on monthly data to test if the behaviour of OPEC as a whole or different sub-groups of the cartel is consistent with the characteristics of dominant producers on the world crude oil market in the period 1973–2001. Our results indicate that the producers outside OPEC can be described as competitive producers, taking the oil price as given and maximizing profits. The OPEC members do not fit the behaviour of price-taking producers. Our findings of low residual demand price elasticities for OPEC underpin the potential market power of the producer group, and are in line with the results in some recent energy studies. On the other hand, our findings indicate that neither OPEC nor different sub-groups of the cartel can be characterized as a dominant producer in the period 1973–1994. However, we find that the characteristics of a dominant producer to some extent fit OPEC-Core as from 1994. Thus, although OPEC clearly has affected the market price, the producer group has not behaved as a pure profit-maximizing dominant producer.     

Instrumental quantile regression inference for structural and treatment effect models

We introduce a class of instrumental quantile regression methods for heterogeneous treatment effect models and simultaneous equations models with nonadditive errors and offer computable methods for estimation and inference. These methods can be used to evaluate the impact of endogenous variables or treatments on the entire distribution of outcomes. We describe an estimator of the instrumental variable quantile regression process and the set of inference procedures derived from it. We focus our discussion of inference on tests of distributional equality, constancy of effects, conditional dominance, and exogeneity. We apply the procedures to characterize the returns to schooling in the U.S.     

Informational Cascades,Herding Bias,and Food Taste Evaluations

Herding behavior is observed when consumers simply replicate the behavior of others instead of making their own elaborate decision. This study contains two experiments in which participants are asked to evaluate how good different food products taste under different conditions of induced herding situations. The results of the first experiment show that simply convincing consumers that a herd exists (i.e., informing them of the behavior of others) will influence their judgment of how good the food product in question tastes, and also their purchase intentions and belief in future product success. Whether they are informed about the existence of the herd before or after they taste the product also affects their evaluations. In the second experiment, the characteristics of the herd (who it consists of) are manipulated along with the country from where the food product originates. Here, the characteristics of the herd have significant effects on the evaluation of taste, purchase intentions, and expectations of future product success, whereas country-of-origin has no significant main effects. Theoretical and managerial implications are offered.     

Business cycle fluctuations and the life cycle: How important is on-the-job skill accumulation?

We study the effects of on-the-job skill accumulation on average hours worked by age and the volatility of hours over the life cycle in a calibrated general equilibrium model. Two forms of skill accumulation are considered: learning by doing and on-the-job training. In our economy with learning by doing, individuals supply more labor early in the life cycle and less as they approach retirement than they do in an economy without this feature. The impact of this feature on the volatility of hours over the life cycle depends on the value of the intertemporal elasticity of labor supply. When individuals accumulate skills by on-the-job training, there are only weak effects on both the steady-state labor supply and its volatility over the life cycle.     

Green segmentation and environmental certification: insights from forest products

Firms engage in environmental marketing in order to appeal to environmentally conscious consumers. Within the context of the forest product industry, this research uses data from two studies to empirically test whether a relationship exists between demographic/psychographic characteristics and reported environmentally conscious intentions. In both studies, the results indicate that the environmental marketing of certified/ecolabeled forest products appeals to a segment of environmentally conscious consumers. This appeal occurs for both a value‐added product (furniture) and a non‐value‐added product (plywood). Thus, there is support for the argument that environmental marketing to environmentally conscious consumers can result in ‘green segmentation’. Key findings from this study suggest that those consumers reporting the strongest preferences for environmentally certified forest products were more willing to pay a premium for certified products, more likely to display environmentally conscious behavior and more likely to perceive that green consumer purchases effectively benefit the environment. These characteristics were most common among females and those familiar with the concept of environmental certification. Copyright © 2009 John Wiley & Sons, Ltd and EPR Environment.     

REALIZED BETA GARCH: A MULTIVARIATE GARCH MODEL WITH REALIZED MEASURES OF VOLATILITY

We introduce a multivariate generalized autoregressive conditional heteroskedasticity (GARCH) model that incorporates realized measures of variances and covariances. Realized measures extract information about the current levels of volatilities and correlations from high‐frequency data, which is particularly useful for modeling financial returns during periods of rapid changes in the underlying covariance structure. When applied to market returns in conjunction with returns on an individual asset, the model yields a dynamic model specification of the conditional regression coefficient that is known as the beta. We apply the model to a large set of assets and find the conditional betas to be far more variable than usually found with rolling‐window regressions based exclusively on daily returns. In the empirical part of the paper, we examine the cross‐sectional as well as the time variation of the conditional beta series during the financial crises. Copyright © 2014 John Wiley & Sons, Ltd.     

HRM systems between control and commitment: occurrence,characteristics and effects on HRM outcomes and firm performance

In the literature, it is often assumed that traditional, control‐oriented HRM systems are increasingly being replaced by commitment‐based HRM systems because the latter generally result in higher firm performance. However, an HRM system's effectiveness may depend on an organisation's external and internal context, and neither control nor commitment HR systems are without disadvantages. Thus, the empirical validity of this claim is not clear ex ante. This paper analyses the empirical diffusion and determinants of control and commitment HRM systems in Germany as well as their impact on HRM outcomes and firm performance. The findings indicate that between the two extreme forms of high‐control and high‐commitment HRM systems, there are two hybrid forms (long‐term‐oriented control system and regulated commitment system) that combine elements of both ‘pure’ systems. Commitment HRM systems outperform the high‐control HRM system concerning many HRM outcomes and firm performance measures. However, in direct comparison, the high and the regulated commitment HRM systems do not show substantially different outcomes, indicating that there is no one best way.     

When using knowledge can hurt performance: the value of organizational capabilities in a management consulting company

This paper explores the possibility that utilizing the firm's knowledge resources to complete important tasks can backfire and undermine competitive performance. Drawing on organizational capabilities and knowledge‐sharing research, we develop a situated performance view that holds that the value of obtaining and using knowledge within a firm depends on the task situation. Using a data set of 182 sales proposals for client work in a management consulting company, we show that sales teams that had varying needs to learn and differentiate themselves from competitors derived different levels of value from obtaining and using electronic documents and advice from colleagues. Highly experienced teams were more likely than inexperienced teams to lose the sales bids if they utilized such knowledge. Teams that had a high need to differentiate themselves from competitors also had a lower chance of winning if they utilized electronic documents. There were situations, however, where teams performed better if they utilized the firm's knowledge resources. These results suggest that competitive performance depends not on how much firms know but on how they use what they know. Copyright © 2004 John Wiley & Sons, Ltd.     

Choosing the Best Volatility Models: The Model Confidence Set Approach*

This paper applies the model confidence set (MCS) procedure of Hansen, Lunde and Nason (2003) to a set of volatility models. An MCS is analogous to the confidence interval of a parameter in the sense that it contains the best forecasting model with a certain probability. The key to the MCS is that it acknowledges the limitations of the information in the data. The empirical exercise is based on 55 volatility models and the MCS includes about a third of these when evaluated by mean square error, whereas the MCS contains only a VGARCH model when mean absolute deviation criterion is used. We conduct a simulation study which shows that the MCS captures the superior models across a range of significance levels. When we benchmark the MCS relative to a Bonferroni bound, the latter delivers inferior performance.