The decline of science in corporate R&D

Research summary: In this article, we document a shift away from science by large corporations between 1980 and 2006. We find that publications by company scientists have declined over time in a range of industries. We also find that the value attributable to scientific research has dropped, whereas the value attributable to technical knowledge (as measured by patents) has remained stable. These trends are unlikely to be driven principally by changes in publication practices. Furthermore, science continues to be useful as an input into innovation. Our evidence points to a reduction of the private benefits of internal research. Large firms still value the golden eggs of science (as reflected in patents), but seem to be increasingly unwilling to invest in the golden goose itself (the internal scientific capabilities). Managerial summary: There is a widespread belief among commentators that large American corporations are withdrawing from research. Large corporations may still collaborate with universities and acquire promising science‐based start‐ups, but their labs increasingly focus on developing existing knowledge and commercializing it, rather than creating new knowledge. In this article, we combine firm‐level financial information with a large and comprehensive data set on firm publications, patents and acquisitions to quantify the withdrawal from science by large American corporations between 1980 and 2006. This withdrawal is associated with a decline in the private value of research activities, even though scientific knowledge itself remains important for corporate invention. We discuss the managerial and policy implications of our findings.     

A Survey of Major Approaches for Accelerating New Product Development

Product life-cycles are becoming shorter, leading firms to reduce the time to bring new products to market. Being early can provide a significant competitive advantage, making the acceleration of new product development (NPD) an important area for research and inquiry. Based on their review of a wide range of literatures in business strategy, marketing, new product development, manufacturing and organization management, Murray Millson, S. P. Raj and David Wilemon report a general set of techniques for reducing the developmental cycle time for new products. The article develops a hierarchy of available NPD acceleration approaches and discusses potential benefits, limitations and significant challenges to successful implementation.     

Asset reliability and security prices: evidence from credit markets

We assess the relation between asset reliability and security prices. Concerns about asset reliability are increasing with the move to fair value accounting in general purpose financial reports. We provide pertinent evidence from credit markets. A key benefit of using credit market data to explore the capital market implications of asset reliability is the theoretical basis of Duffie and Lando (Econometrica 69(3):633–664, 2001). They show that asset reliability (measurement) concerns should be concentrated in short-term credit spreads. Thus a focus on credit term structure can facilitate a cleaner identification of the impact of asset reliability on security prices. We find that asset reliability issues, attributable to SFAS 157 disclosures of Level 2 and, especially, Level 3 financial assets for a set of US financial institutions over the period of August 2007 to March 2009, are a significant determinant of short-term credit spreads and the shape of the general credit term structure. Our findings are robust to a variety of control variables and research design choices.     

Are Differences in Acquiring Bank Profit Efficiency Priced in Financial Markets?

We analyze 271 bank mergers for 1986–2001 to attempt to determine if differences among acquirers in profit efficiency are priced in financial markets. We find that the acquirer’s pre-merger profit efficiency (as well as its experience in handling other mergers) has positive effects on the wealth of the acquiring bank’s shareholders. We also find that more profit efficient acquiring banks produce lower abnormal returns for the target, suggesting that well managed (i.e., more profit-efficient) banks are less likely to overpay when they enter into a merger agreement. Financial market participants apparently take something akin to the econometric concept of profit efficiency into account when they make decisions about bank stock purchases and sales around merger announcement dates.      

Spatial Models in Marketing

Marketing science models typically assume that responses of one entity (firm or consumer) are unrelated to responses of other entities. In contrast, models constructed using tools from spatial statistics allow for cross-sectional and longitudinal correlations among responses to be explicitly modeled by locating entities on some type of map. By generalizing the notion of a map to include demographic and psychometric representations, spatial models can capture a variety of effects (spatial lags, spatial autocorrelation, and spatial drift) that impact firm or consumer decision behavior. Marketing science applications of spatial models and important research opportunities are discussed. This paper is based upon the discussions of the Spatial Models in Marketing seminar at the Sixth Invitational Choice Symposium, June 2004. Eric T. Bradlow, Bart Bronnenberg and Gary J. Russell served as co-chairs of the session.     

Institutional Ownership and Distribution of Equity Returns

Although there is considerable evidence of the importance of skewness and kurtosis in equity returns, much less attention has been paid to their determinants. Recent theoretical and empirical advances in the literature suggest that the information structure and other market characteristics affect the nature of return distributions. One such characteristic is the degree of institutional ownership in the stock. This study hypothesizes and documents a significant inverse relationship between the degree of institutional ownership and the standard deviation, skewness, and kurtosis of equity returns.     

A flexible functional form for S-curve

A flexible form for growth curves is proposed by using Edgeworth expansion of the distribution function. This functional form does not require strong prior information about the data. Economic interpretation of parameters is provided.     

Announcement

In this paper we obtain a small-disturbance approximation to the moment matrix of the limiting distribution of an operational generalized least squares (OGLS) estimator of the mean response vector in a random coefficient model.It is shown that for small samples the moment matrix of the limiting distribution underestimates the small-disturbance approximate moment matrix of the limiting distribution of the OGLS estimator. This suggests that for small samples the ‘standard errors’ of the OGLS estimates should be obtained from the small-disturbance approximate moment matrix of the limiting distribution rather than from the conventional asymptotic moment matrix.     

An international study of persistence in output: Parametric estimates using the data dependent systems approach

This paper parametrically obtains estimates of persistence in output using Pandit's (1977, 1982) Data Dependent Systems approach for modelling autoregressive and moving average processes. The estimates are based on over a century of annual data for the rate of change of output in nine industrialized countries. The sensitivity of estimates to various model selection criteria is examined. While persistence in output is found to be sensitive to model selection criteria, the output of all countries including the United States is found to have a substantial degree of persistence if the ARMA models are chosen according to the Schwarz Bayesian Criterion, but excluding the ARMA models whose moving average roots are near the unit root (which involves pile-up phenomenon). Moreover, the parametric estimates of persistence are shown not to have the known upward bias problem commonly associated with parametric estimates of persistence relative to nonparametric estimates.     

Common Stochastic Trends Among Asian Currencies: Evidence for Japan,Aseans, and the Asian Tigers

This study documents that daily changes in Asian exchange rates are significantly non-normal, serially correlated, non-stationary, and have unit roots. Further, accounting for these time series properties and using a longer time horizon than other similar studies of exchange rates, this study also documents cointegration between the Japanese Yen and two sets of Asian currencies, i.e., currencies of the 'Tigers', Hong Kong, South Korea, Singapore, and Taiwan; and currencies of the ASEANs, Malaysia, Philippines, Thailand, and Singapore. These findings of cointegration among Asian exchange rates are in contrast to the findings for the major currencies, and are evidence of nascent Yen blocs in Asia. The results presented here have important implications for understanding Asian financial integration and the international role of the Japanese yen and should be useful for developing asset allocation, currency overlay, value at risk (VAR), and hedging strategies for investments in these often illiquid Asian currencies.