Does the measurement of intra-industry trade matter?

Does the Measurement of Intra-Industry Trade Matter? — This paper discusses different methods of capturing the main aspects of the Chamberlin-Heckscher-Ohlin-Samuelson model. Of particular interest are the distinction between horizontal and vertical intra-industry trade, the adjustment of aggregation biases, and the definition of inter- and intra-industry specialization at product level. The main findings are that it is important to disentangle horizontal and vertical intra-industry trade, and to consider specialization patterns within refined product groups. Moreover, there is a nonlinear relationship between intra-industry trade and economies of scale that may explain contradictory results in the literature.     

Operationalizing opportunities in entrepreneurship research: use of data envelopment analysis

Despite the impressive development of substantive theories in entrepreneurship, without the development of measurement theories, further advancement of the field is problematic. In particular, the notion of opportunities, central to entrepreneurship research, requires adequate macro-level operationalization. We demonstrate how to employ data envelopment analysis (DEA) to operationalize not only innovative opportunities, but also technological arbitrage opportunities. We provide an illustrative example based on a sample of 66 countries during the period of 1993–2002. We include estimates of innovative and arbitrage opportunities for possible use by other scholars, discuss the promise and limitations of such estimates, demonstrate how both innovative and arbitrage opportunities correlate with the rates of entrepreneurial activity, and suggest several possible directions for future research.     

Least Squares Asymptotics in Spurious and Cointegrated Panel Regressions with Common and Idiosyncratic Stochastic Trends*

This article makes an analytical study of the effects of the presence of both common and idiosyncratic stochastic trends on the pooled least squares estimator. The results suggest that the usual result of asymptotic normality depends critically on the absence of the common stochastic trend.     

The Surprising Duality of Jugaad: Low Firm Growth and High Inclusive Growth

Western theories on creativity emphasize the importance of access to resources and the generation of innovations as a source of sustainable competitive advantage for firms. However, perhaps the emphasis on slack resources and the firm as the level of analysis may be less appropriate for understanding the benefits of individual creative problem solving in resource-poor environments of the east; focusing solely on the firm is not sufficiently inclusive and may underestimate the benefits of creative problem solving under resource scarcity. Through an inductive interpretive case study of 12 problem solvers in the highly resource-poor environment of rural India, we identified the antecedents, dimensions and duality of outcomes for an Indian cultural source of creative problem solving called jugaad. Jugaad relies on assertive defiance, trial-and-error experiential learning and the recombination of available resources to improvise a frugal quick-fix solution. Our inductive framework provides new insights into the dual outcomes of creative problem solving from an eastern perspective; jugaad is unlikely to be a source of competitive advantage for firm growth but represents a source of enhanced wellbeing for inclusive growth.     

Revenues in discrete multi-unit, common value auctions: a study of three sealed-bid mechanisms

This paper proposes a discrete bidding model for both quantities and pricing. It has a two-unit demand environment where subjects bid for contracts with an unknown redemption value, common to all bidders. Prior to bidding, the bidders receive private signals of information on the (common) value. The relevant task is to compare the equilibrium strategies and the seller’s revenue of the three most common auction formats with two players. The result is that the Vickrey auction always gives the most revenue to the seller, the discriminatory auction follows closely and the uniform auction clearly is the worst due to demand reduction.

Data Dependent Endogeneity Correction in Cointegrated Panels*

This paper examines the small‐sample performance of several information based criteria that can be employed to facilitate data dependent endogeneity correction in estimation of cointegrated panel regressions. The Monte Carlo evidence suggests that the criteria generally perform well but that there are differences of practical importance. In particular, the evidence suggests that, although the estimators of the cointegration vectors generally perform well, the criterion with best small‐sample performance also leads to the best performing estimator.     

Efficient but getting wet feet: A not-entirely-frivolous note on the side-effects of growth-promoting institutions

Using data covering 38 countries across the 1965-2005 period, this paper shows that former British colonies tend to exhibit higher levels of carbon dioxide emission than other countries.     

Brand equity in the professional service context: Analyzing the impact of employee role behavior and customer-employee rapport

The study examines whether factors related to customers' perception of employees' behavior in terms of customer perceived role ambiguity, role overload and customer-employee rapport influence the development of brand equity in the professional service context. 632 customers of one of the Big Four auditing companies participated in the study. The results of structural equation modeling show negative effects of role ambiguity and role overload on brand associations, perceived quality and brand loyalty, which constitute brand equity. The findings indicate a positive effect of customer-employee rapport on the enhancement of B2B brand equity. However, the negative influences of role ambiguity and role overload on customer-employee rapport transfer detrimental indirect effects on brand equity. The study contributes to an understanding of how the real interaction between service providers and customers can influence brand equity in the professional service setting.     

Political Stock Markets and Unreliable Polls

A political stock market (PSM) clearly beat the polls in predicting the outcome of a Swedish referendum on whether or not Sweden should join the European Union. In fact, polls were unable to make such predictions since the number of undecided respondents always far exceeded the observed YES/NO margin. However, an obstacle to PSMs serving as a superior forecasting instrument is that they can be sensitive to price distortions - by interest groups that may wish to effectuate, and pay for, such distortions - or forecast competitions tied to PSM trade gains, the latter of which was tested here.     

Estimating Cointegrated Panels with Common Factors and the Forward Rate Unbiasedness Hypothesis

This article proposes a bias-adjusted estimator for use in cointegratedpanel regressions when the errors are cross-sectionally correlatedthrough an unknown common factor structure. The asymptotic distributionof the new estimator is derived and is examined in small samplesusing Monte Carlo simulations. For the estimation of the numberof factors, several information-based criteria are considered.The simulation results suggest that the new estimator performswell in comparison to existing ones. In our empirical application,we provide new evidence suggesting that the forward rate unbiasednesshypothesis cannot be rejected.