Dynamic employment adjustments over business cycles

This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine the dynamic labor adjustments of production workers and nonproduction workers in both the short and long-run. The results from the short-run analysis show that the dynamic adjustment of production workers is consistent with business cycles. However, the adjustment of nonproduction workers is relatively fixed, lags behind the shocks over business cycle changes, and exhibits the quasi-fixed factor property. In the long-run, we found that nonproduction workers and production workers are cointegrated indicating that the two series are in long-run equilibrium.First version received: March 2002/Final version received: November 2003We would like to thank James McClure, participants in the Economics Department seminar series at Ball State University, and an anonymous referee for their comments and suggestions.     

Understanding the adoption of new brands through salespeople: a multilevel framework

So far there has been scant empirical attention paid to the role of the sales force in the adoption of new brands in the early implementation stages. We test a framework of internal (sales manager and salespeople) brand adoption using an empirical multilevel study. Our findings suggest that the construct of expected customer demand (ECD) plays an important role in sales force brand adoption. First, ECD directly influences salespeople’s and sales managers’ brand adoption. Second, ECD serves as a cross-level moderator of new brand adoption transmission. We find the influence of sales managers’ brand adoption on salespeople’s brand adoption to be stronger when salespeople’s ECD is lower.     

A pre-diffusion growth model of intentions and purchase

In this paper, we investigate whether information on the history of purchase intentions is useful in predicting actual purchase behavior. The research is motivated by two factors. The first factor is the empirical finding in the literature that measuring intentions just prior to purchase provides better predictions of actual purchase as compared to when these intentions are measured earlier. The second factor is the role of the timing of the formation of intentions prior to purchase. While one stream of literature based on preference fluency predicts that early formation of intentions is more likely to lead to actual purchase, the other stream based on the memory-based “recency” effect predicts that formation of intentions just prior to purchase is more likely to lead to actual purchase. Together, these two factors motivate the potential need to account for the entire history of intentions prior to purchase. A canonical example of a market where intention histories are tracked is the movie industry, where “first choice” movie watching intentions are tracked up to (and in some cases beyond) the time of release. Accommodating the history of intentions in an econometric model that predicts actual box office performance is challenging due to the differing numbers of observations for the movies, the large numbers of observations for certain movies, as well as the role of various time-invariant and time-varying covariates influencing intentions. We propose a two-part model where the first part involves a hierarchical growth model that summarizes the trajectories of intentions via “growth factors.” These growth factors also reflect the role of the various covariates. The second part is a regression of the box office performance on the growth factors and other covariates. The models are simultaneously estimated within a Bayesian framework. Consistent with the previous literature, we find that including information on intentions improves our ability to predict behavior, with the recent intentions being the most informative. Importantly, when the history of intentions is accounted for, our results indicate that the data support the “recency” literature—intentions grow over time leading up to purchase, and this growth has a positive impact on opening box office performance. While a linear growth model performs best for most movies, there exists a subset of movies for which the quadratic growth model better captures the “spike” in intentions just prior to purchase. Further, accounting for information on the history of intentions dramatically improves model fit and forecasting performance relative to when only the intentions at one point in time (e.g., the ones just prior to purchase) are accounted for.     

Public Sector Capital and the Production Efficiency of U.S. Regional Manufacturing Industries

This paper applies a stochastic frontier production model with time-varying technical efficiency to investigate the relationship between public capital and technical efficiency. It is based on the proposition that public capital has an effect on actual output by enhancing technical efficiency, thereby reducing the gap between maximum potential output and actual output. Empirical results using panel data from U.S. state manufacturing industries during 1969–86 show that technical efficiencies varied substantially, both between states and between years; variations in technical efficiency are significantly explained by variations in public-sector capital.
JEL Classification Numbers: O20, H54, C23.     

An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes

In recent years, many industrial firms have been able to use roadmapping as an effective process methodology for projecting future technology and for coordinating technology planning and strategy. Firms potentially realize a number of benefits in deploying technology roadmapping (TRM) processes. Roadmaps provide information identifying which new technologies will meet firms' future product demands, allowing companies to leverage R&D investments through choosing appropriately out of a range of alternative technologies. Moreover, the roadmapping process serves an important communication tool helping to bring about consensus among roadmap developers, as well as between participants brought in during the development process, who may communicate their understanding of shared corporate goals through the roadmap. However, there are few conceptual accounts or case studies have made the argument that roadmapping processes may be used effectively as communication tools. This paper, therefore, seeks to elaborate a theoretical foundation for identifying the factors that must be considered in setting up a roadmap and for analyzing the effect of these factors on technology roadmap credibility as perceived by its users. Based on the survey results of 120 different R&D units, this empirical study found that firms need to explore further how they can enable frequent interactions between the TRM development team and TRM participants. A high level of interaction will improve the credibility of a TRM, with communication channels selected by the organization also positively affecting TRM credibility.     

Regional Economic Disparity,Financial Disparity,and National Economic Growth: Evidence from China

The dynamic relations among national economic growth, economic disparity, and financial disparity in China are examined. Specifically, the focus is on whether economic disparity or financial disparity affects national economic growth. As measures of economic and financial disparity across regions and provinces, the Williamson coefficient of disparity is employed using both regional data (eastern, central, and western) and provincial data (from 31 provinces). Overall, it is found that both provincial financial disparity and, to a lesser degree, economic disparity have a negative effect on national economic growth. In addition, financial disparity appears to be exogenous, suggesting that financial disparity is not influenced by either economic disparity or national economic growth.     

Precautionary saving under liquidity constraints: Evidence from rural Pakistan

This paper investigates precautionary saving under liquidity constraints in Pakistan using household panel data. In particular, while it estimates Kimball's [Kimball, M.S. Precautionary saving in the small and in the large. Econometrica 1990; 58; 53–73.] prudence parameter based on a framework that is similar to Dynan [Dynan, K.E. How prudent are consumers? Journal of Political Economy 1993; 101; 1104–1113.], this study deviates from the framework by explicitly considering liquidity constraints, as in Zeldes [Zeldes, S.P. Consumption and liquidity constraints: an empirical investigation. Journal of Political Economy 1989; 97; 305–346.]. By doing so, this paper attempts to differentiate the standard precautionary saving caused by uncertainty from that caused by liquidity constraints. Furthermore, endogenous liquidity constraints are used in order to resolve issues of selection biases. We find substantial evidence of the presence of precautionary saving in Pakistan. More specifically, the estimated prudence is significantly higher for liquidity-constrained households as compared with unconstrained ones. The finding suggests that the precautionary saving motives appear stronger when households see that their access to credit markets is limited.     

Stock return, risk, and legal environment around the world

This paper investigates how the legal environment in a country influences performance and risk of stock across countries at different developmental stages and of various rules of jurisdiction. Using data of 4916 stocks from 37 countries, our empirical findings confirm that equities in countries with English common law origin have higher risk premiums than those in civil law countries, particularly for countries of the French/Spanish code. The indicators representing high efficiency in law system, low corruption, strong legal protection of investors' rights, and reliable political environment are associated with low risk and high performance. The various elements of legal procedural formalism, however, have differing effects on volatility and return.