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.     

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.     

Economic Stagnation and Crisis in Korea during the Eighteenth and Nineteenth Centuries

In contrast to rapid economic growth in the twentieth century, Korea suffered a long economic decline in the eighteenth and nineteenth centuries, with the failure accelerating from 1850 to 1890. According to 36 different harvest records, rice productivity continuously declined from the early eighteenth to the late nineteenth centuries due to deforestation and increase in natural disasters. Contraction of rural markets after the interruption of trade with Japan also contributed to the decrease in rice production. The third reason for the nineteenth‐century crisis was the dissolution of the government‐led grain storage and redistribution system. Finally, the ultimate culprit for the crisis could be found in Confucianism with which the Joseon Dynasty was unable to properly understand and respond to the crisis.     

Effects of the matching fund program on IPO and bankruptcy of SMEs in Korea

Most small and medium enterprises (SMEs) in Korea struggle in financing R&D. Thus, the Korea Core Industrial Technology Investment Association (KITIA) was established to implement a matching fund program (MFP) to help SMEs with this undertaking. Applicant firms to the MFP are reviewed first based on their technology levels and are required to attract financing from venture capitalists (VCs), before receiving funds from the MFP. This paper, based on KITIAs MFP applicant data from 2001 to 2004, evaluates the performance of the MFP in terms of the success rate of funded SMEs’ initial public offerings (IPOs) and bankruptcy rates in relation to those SMEs that could not attract matching funds. Propensity score matching was used to eliminate selection bias from the data in order to assess the actual treatment effect of the MFP. According to the result of logistic regression applied to the matched data, MFP apparently did not have significant effects on IPO success and bankruptcy. This implies that MFP needs to allow VCs more time to evaluate SMEs covering qualitative aspects as well. It is expected that this change of structure can provide better performance of MFP in terms of IPO success and bankruptcy of matched SMEs.     

How Online Product Reviews Affect Retail Sales: A Meta-analysis

A growing body of research has emerged on online product reviews and their ability to elicit performance outcomes desired by retailers; yet, a common understanding of the performance implications of online product reviews has eluded us. Scholars continue to navigate an array of studies assessing different design elements of online product reviews, and various research settings and data sources. We undertake a meta-analysis of 26 empirical studies yielding 443 sales elasticities to examine how these variables relate to retail sales. Building on well-established meta-analytical methods, we address the following questions: How does review valence influence the elasticity of retailer sales? What about review volume? For which product types and usage situations do online product reviews have a greater impact on retailer sales elasticity? Which types of online reviewers and websites exert the greatest influence on retailer sales elasticity? Our study answers these important questions and provides a much needed quantitative synthesis of this burgeoning stream of research.