The Total Product Design Concept and an Application to the Auto Market

As traditional sources of competitive advantage shrink, firms seek new ones. One such source of competitive advantage is product design because of its effects on customer experience. To understand the role and impact of product design on customer experience, we propose an integrated, customer‐based framework for product design that we call the total product design concept (TPDC). We define a product's TPDC as consisting of three elements, namely functionality, aesthetics, and meaning, each of which arises from more elemental product characteristics. We elaborate on the structure of a product's TPDC, its three elements, and the links between those elements and customers' experience with a product. We provide an illustrative application of the TPDC using data from the U.S. auto market. The findings from that application support the proposed three‐dimensional view of the TPDC, and demonstrate heterogeneity both in the TPDC's structure and its effects on customer satisfaction. For all three segments, functionality enhances customer satisfaction. For the largest segment of customers, functionality is the most important factor, followed by aesthetics. For the other two segments, customer satisfaction is most influenced by the meaning element of TPDC. We discuss the implications of these findings for the auto industry in particular, and the potential use of the TPDC more generally.     

Time varying VARs with inequality restrictions

In many applications involving time-varying parameter VARs, it is desirable to restrict the VAR coefficients at each point in time to be non-explosive. This is an example of a problem where inequality restrictions are imposed on states in a state space model. In this paper, we describe how existing MCMC algorithms for imposing such inequality restrictions can work poorly (or not at all) and suggest alternative algorithms which exhibit better performance. Furthermore, we show that previous algorithms involve an approximation relating to a key prior integrating constant. Our algorithms are exact, not involving this approximation. In an application involving a commonly used U.S. data set, we present evidence that the algorithms proposed in this paper work well.     

Large time-varying parameter VARs

In this paper, we develop methods for estimation and forecasting in large time-varying parameter vector autoregressive models (TVP-VARs). To overcome computational constraints, we draw on ideas from the dynamic model averaging literature which achieve reductions in the computational burden through the use forgetting factors. We then extend the TVP-VAR so that its dimension can change over time. For instance, we can have a large TVP-VAR as the forecasting model at some points in time, but a smaller TVP-VAR at others. A final extension lies in the development of a new method for estimating, in a time-varying manner, the parameter(s) of the shrinkage priors commonly-used with large VARs. These extensions are operationalized through the use of forgetting factor methods and are, thus, computationally simple. An empirical application involving forecasting inflation, real output and interest rates demonstrates the feasibility and usefulness of our approach.     

Fairness in human resource management,social exchange relationships,and citizenship behavior: testing linkages of the target similarity model among nurses in the United States

The current study tests key linkages of the target similarity model by examining relationships among multifoci justice, social exchange, and supervisor ratings of employee citizenship behavior. We found support for the model when examining three different workplace targets simultaneously (i.e., the organization as a whole, supervisors, and workgroup members) using a sample of hospital nurses in the United States. Specifically, we found that: (1) employee perceptions of workgroup fairness, supervisor fairness, and organizational fairness differentially and positively predicted perceived workgroup support (PGS), perceived supervisor support (PSS), and perceived organizational support (POS), respectively and (2) PGS, PSS, and POS differentially and positively predicted citizenship behavior toward the workgroup, toward the supervisor, and toward the organization, respectively. Theoretical and practical implications for the strategic management of human resources are discussed, as are limitations of the study and suggestions for future research.     

Expatriate adjustment and commitment: the role of host-unit treatment

This article tests the hypotheses that perceived host ethnocentrism will impact negatively on expatriates' work adjustment, host commitment and parent commitment as well as increase the desire to return early from overseas assignments. Hierarchical regression analyses were performed on survey data from 250 international assignees controlling for a wide range of personal, organizational and locational characteristics. As predicted, perceptions of local ethnocentrism had a negative effect on work adjustment and commitment to the host unit, particularly when cultural distance was low. We also found that European expatriates were more likely to react negatively to perceptions of host ethnocentrism than were their American counterparts. In general, there was no support of the hypothesized links between perceived host ethnocentrism and parent-firm commitment or the desire to return early.     

Technical progress and induced innovation in China: a variable profit function approach

Journal of Productivity Analysis - We propose a new methodology to estimate empirically the input price-induced technical change and total factor productivity (TFP) growth in China. Our primary...     

Forecasting with High‐Dimensional Panel VARs

This paper develops methods for estimating and forecasting in Bayesian panel vector autoregressions of large dimensions with time‐varying parameters and stochastic volatility. We exploit a hierarchical prior that takes into account possible pooling restrictions involving both VAR coefficients and the error covariance matrix, and propose a Bayesian dynamic learning procedure that controls for various sources of model uncertainty. We tackle computational concerns by means of a simulation‐free algorithm that relies on analytical approximations to the posterior. We use our methods to forecast inflation rates in the eurozone and show that these forecasts are superior to alternative methods for large vector autoregressions.     

The Cost Structure of Australian Telecommunications

Since 1991 Australian telecommunications has undergone substantial reform. To a large extent, the economic correctness of pro-competitive policy depends on the non-existence of natural monopoly technology. This paper provides estimates of the Australian telecommunications system cost structure, and tests for subadditivity from 1943 to 1991. Additivity of the cost function after 1945 rejects the natural monopoly hypothesis and supports recent government policy. Diminished natural monopoly characteristics suggest that co-ordination between firms through networking can achieve similar economies as internal co-ordination within a monopoly. This finding is important, given the trend towards network unbundling, and service provision through interconnection.     

Experimental methods: Between-subject and within-subject design

In this article we explore the issues that surround within-subject and between-subject designs. We describe experiments in economics and in psychology that make comparisons using either of these designs (or both) that sometimes yield the same results and sometimes do not. The overall goal is to establish a framework for understanding which critical questions need to be asked about such experimental studies, what authors of such studies can do to ameliorate fears of confoundedness, and which scenarios are particularly susceptible to divergent results from the two approaches. Overall, we find that both designs have their merits, and the choice of designs should be carefully considered in the context of the question being studied and in terms of the practical implementation of the research study.     

Reputation, Honesty, and Efficiency with Insider Information: an Experiment

We conduct an experimental study of sales of insider information about an asset's future value, where the insiders cannot purchase the underlying asset. We examine whether such information is purchased, the quality of the information provided, and the subsequent accuracy of purchase decisions in the underlying asset market. Our design explores whether reputation, in a repeated game of finite (but uncertain) duration, is an effective constraint on deliberate strategic misinformation. The insiders have an immediate incentive to state that the asset value is high when its true value is low. We suggest an application to insider trading in financial information markets. With fixed matching, cooperative outcomes featuring truthful revelation are frequently achieved and sustained, even though this suggests subjects have sophisticated beliefs about the beliefs and behavior of others. As a comparison, we also conduct a control treatment with random rematching. Here, information purchase is less frequent, the rate of truthful revelation decreases, and efficiency is diminished. Our results suggest that most people anticipate that others realize the potential value of a good reputation.