Importers,Exporters and Multinationals: Exploring the Hierarchy of International Linkages

The purpose of this paper is to empirically explore two dimensions of the firm hierarchy of international market-specific linkages, using data on Swedish manufacturing firms from 1997 to 2007. First, we investigate the productivity ordering with respect to three international linkages; importing, exporting and investing abroad. Second, we explore whether differences in the productivity ordering across industries correlates with industry and country characteristics. Our findings support a general productivity hierarchy from importing to exporting and from exporting to investing abroad, as well as from a low to a high number of linkages (measuring the complexity of firms’ international linkages). However, an industry-by-industry examination shows that the hierarchical structure is only generally upheld when it comes to the number of international linkages, while the ordering of import, export and investment linkages does not exhibit the same regularity across industries. Extending the analysis, we find that the lack of a hierarchical structure is more likely in industries focusing on larger and less distant markets.     

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.     

An IV Test for a Unit Root in Generally Trending and Correlated Panels

This paper proposes an IV‐based panel unit root test that is general enough to accommodate general error serial and cross‐section dependence, and a potentially nonlinear deterministic trend function. These allowances make the new test one of the most general around. It is also very simple to implement. Indeed, the IV statistic is asymptotically invariant to not only to all nuisance parameters characterizing the dependence of the errors and the true trend function, but also the deterministic specification of the fitted test regression.     

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.     

Do uninformed crossed and internalized trades tap into unexpressed liquidity? The case of Nokia

Crossed and internalized upstairs trades are analysed in a dataset in which institutional investors can be identified. Earlier findings that upstairs trading is uninformed, taps into unexpressed liquidity, and does not affect market quality are revisited. The permanent price effect of crossings and internalized upstairs trades is significantly lower than that of limit order book trades due to the fact that the least informed institutional trades are routed upstairs. Crossed and internalized trades affect the depth and transaction costs in the limit order book and a greater reliance is placed on the upstairs market when liquidity is low and volatility is high.     

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.     

A Simple Test for Cointegration in Dependent Panels with Structural Breaks*

This paper develops a very simple test for the null hypothesis of no cointegration in panel data. The test is general enough to allow for heteroskedastic and serially correlated errors, unit‐specific time trends, cross‐sectional dependence and unknown structural breaks in both the intercept and slope of the cointegrated regression, which may be located at different dates for different units. The limiting distribution of the test is derived, and is found to be normal and free of nuisance parameters under the null. A small simulation study is also conducted to investigate the small‐sample properties of the test. In our empirical application, we provide new evidence concerning the purchasing power parity hypothesis.