Bias Reduction in Dynamic Panel Data Models by Common Recursive Mean Adjustment*

The within‐group estimator (same as the least squares dummy variable estimator) of the dominant root in dynamic panel regression is known to be biased downwards. This article studies recursive mean adjustment (RMA) as a strategy to reduce this bias for AR(p) processes that may exhibit cross‐sectional dependence. Asymptotic properties for N,T→∞ jointly are developed. When ( log ²T)(N/T)→ζ, where ζ is a non‐zero constant, the estimator exhibits nearly negligible inconsistency. Simulation experiments demonstrate that the RMA estimator performs well in terms of reducing bias, variance and mean square error both when error terms are cross‐sectionally independent and when they are not. RMA dominates comparable estimators when T is small and/or when the underlying process is persistent.     

Determinants of Underwriter Participation in Initial Public Offerings of Common Stock: An Empirical Study

This paper examines an optimal underwriter participation model and develops testable hypotheses regarding the influence of certain factors on the degree of underwriter participation in initial public offerings (IPOs) of common stock. The issue of underwriter participation is important primarily due to the tradeoff between foregone underwriter compensation and underwriting risk reduction. The results of this paper indicate that factors related to the issue, issuing firm, underwriter, and IPO market conditions all are important determinants of the participation decision. Interestingly, the results also show that the importance of these factors is not consistent across underwriter prestige groups. In particular, factors external to underwriters (e.g., the issuing firm and market characteristics) are more important for explaining nonprestigious underwriter participation, while factors related to underwriters themselves play a more important role for explaining prestigious underwriter participation.     

Rejoinder to Tomislav V. Kovandzic's Comment on Our Article "The Effectiveness of Gun Control Laws: Multivariate Statistical Analysis"

A bstract . In Professor Tomislav V. Kovandzic's "Comment on the Recent Work of Kwon, Scott, Safranski, and Bae: No, Your Evidence Doesn't Prove What You Think it Does!," he makes several blanket and ill-informed statements about our article appearing in the January 1997 issue of The American Journal of Economics and Sociology (pp. 41–50). We conclude that his comments have failed to generate any new revelations about our research and we stand by the published results.     

Do local analysts know more? A cross-country study of the performance of local analysts and foreign analysts

This paper examines whether analysts resident in a country make more precise earnings forecasts for firms in that country than non-resident analysts. Using a sample of 32 countries, we find an economically and statistically significant local analyst advantage even after controlling for firm and analyst characteristics. The local advantage is high in countries where earnings are smoothed more, less information is disclosed by firms, and firm idiosyncratic information explains a smaller fraction of stock returns. It is negatively related to whether a firm has foreign assets and to market participation by foreign investors and by institutions, and positively related to holdings by insiders. The extent to which U.S. investors underweight a country's stocks is positively related to that country's local analyst advantage.     

THE 2007–2008 U.S. RECESSION: WHAT DID THE REAL‐TIME GOOGLE TRENDS DATA TELL THE UNITED STATES?

In the extant literature of business cycle predictions, the signals for business cycle turning points are generally issued with a lag of at least 5 months. In this paper, we make use of a novel and timely indicator—the Google search volume data—to help to improve the timeliness of business cycle turning point identification. We identify multiple query terms to capture the real‐time public concern on the aggregate economy, the credit market, and the labor market condition. We incorporate the query indices in a Markov‐switching framework and successfully “nowcast” the peak date within a month that the turning occurred. (JEL E37, G17)     

Evaluating Industrial Relations Systems of OECD Countries from 1993 to 2005: A Two‐Dimensional Approach

This article uses both cross‐sectional and longitudinal methods to evaluate the national industrial relations systems of 30 Organisation for Economic Co‐operation and Development (OECD) countries from 1993 to 2005. We adopt a pluralistic view of industrial relations that gives equal weight to efficiency and equity, along with a general systems model consisting of input, process and output. We rank each country in terms of a combined score of efficiency and equity. We find that the 30 OECD countries can be separated into three distinct groups (high on both equity and efficiency; high on efficiency but low on equity; moderate on equity and low on efficiency), and that these groups exhibit considerable stability over time.     

Entrepreneurial spawning and knowledge-based perspective: a meta-analysis

Entrepreneurial spawning is the transitory process by which employees of an existing firm leave their employment to initiate a new business venture. There is a lack of consensus regarding the predictors of entrepreneurial spawning. We used meta-analysis to analyze 28 studies (with 128 effect sizes) to examine the predictors of entrepreneurial spawning. Based on knowledge-based perspective, we hypothesize that employee characteristics (age, education, and job position) and parent firm characteristics (firm age, firm performance, and firm diversity) are significantly related to entrepreneurial spawning. We identified two inverted U-shaped relationships (age and tenure with entrepreneurial spawning) based on our meta-analytic hierarchical multiple regression analyses. Based on labor market rigidity perspectives, we also examined how country region (North America versus Europe) moderates the relationships between employee characteristics and entrepreneurial spawning and between parent firm characteristics and entrepreneurial spawning. Our paper provides theoretical and practical implications.