Investment cycles and startup innovation

We find that venture capital-backed startups receiving their initial investment in hot markets are more likely to go bankrupt, but conditional on going public, are valued higher on the day of their initial public offering, have more patents, and have more citations to their patents. Our results suggest that VCs invest in riskier and more innovative startups in hot markets (rather than just worse firms). This is particularly true for the most experienced VCs. Furthermore, our results suggest that increased capital in hot times plays a causal role in shifting investments to more novel startups by lowering the cost of experimentation for early stage investors and allowing them to make riskier, more novel, investments.     

A test of the Wagner's hypothesis for the Fiji islands

In this article we examine Wagner's law for Fiji for the period 1970 to 2002. Using the Johansen (1988 Johansen, S. 1988. Statistical analysis of cointegrating vectors. Journal of Economic Dynamics and Control, 12: 231–54. [Crossref], [Web of Science ®] , [Google Scholar]) test for cointegration, we find one cointegration relationship between national output and government expenditure. Using five different long run estimators, we find robust results on the impact of national income on government expenditure. The elasticity ranges from 1.36 to 1.44, implying that a 1% increase in income leads to a 1.36–1.44% increase in government expenditure. Moreover, we find that in the long run national income Granger causes government expenditure. While these results are consistent with Wagner's law, we warn policy makers that because Fiji's total debt stands at around 69% of GDP, in future the bulk of expenditure will go towards debt financing at the expense of productive sectors.     

Introduction to the Special Issue: Management in Africa in the Global Context 1

ABSTRACT

The primary focus of this introductory article is to provide a synoptic peek into the challenges and opportunities facing the countries of Africa in today's global economy and in their attempts to develop their national economies to achieve what is commonly termed the Millennium Development Goals. While foreign direct investment (FDI) is seen as a way to attain these goals, FDI flows to African countries remain extremely low. If Africa is to attract diversified FDI inflows, not just those focused on extractive/natural resources, African countries need to develop a system of management that is effective and efficient, internationally oriented and nationally focused, culturally inclusive and institutionally supportive and reliable, and one that promotes business growth and economic development with a sense of social responsibility.     

Challenges and opportunities in high-dimensional choice data analyses

Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on billions of movies selected, user ratings, and geodemographic characteristics. Similar datasets emerge in retailing with potential use of RFIDs, online auctions (e.g., eBay), social networking sites (e.g., mySpace), product reviews (e.g., ePinion), customer relationship marketing, internet commerce, and mobile marketing. We envision massive databases as four-way VAST matrix arrays of Variables?×?Alternatives?×?Subjects?×?Time where at least one dimension is very large. Predictive choice modeling of such massive databases poses novel computational and modeling issues, and the negligence of academic research to address them will result in a disconnect from the marketing practice and an impoverishment of marketing theory. To address these issues, we discuss and identify the challenges and opportunities for both practicing and academic marketers. Thus, we offer an impetus for advancing research in this nascent area and fostering collaboration across scientific disciplines to improve the practice of marketing in information-rich environment.     

On stochastic comparisons of minimum order statistics from the location–scale family of distributions

We consider stochastic comparisons of minimum order statistics from the location–scale family of distributions that contain most of the popular lifetime distributions. Under certain assumptions, we show that the minimum order statistic of one set of random variables dominates that of another set of random variables with respect to different stochastic orders. Furthermore, we illustrate our results using some well-known specific distributions.     

Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach

Bayesian networks (BNs) are graphical probabilistic models used for reasoning under uncertainty. These models are becoming increasingly popular in a range of fields including engineering, ecology, computational biology, medical diagnosis and forensics. In most of these cases, the BNs are quantified using information from experts or from users' opinions. While this quantification is straightforward for one expert, there is still debate about how to represent opinions from multiple experts in a BN. This paper proposes the use of a measurement error model to achieve this. The proposed model addresses the issues associated with current methods of combining opinions such as the absence of a coherent probability model, the loss of the conditional independence structure of the BN and the provision of only a point estimate for the consensus. The proposed model is applied to a subnetwork (the three final nodes) of a larger BN about wayfinding in airports. It is shown that the approach performs well than do existing methods of combining opinions.     

Property Condition Disclosure Law: Why Did States Mandate ‘Seller Tell All’?

Thirty-four US states have already enacted some form of seller’s Property Condition Disclosure Law. At a time when there is a movement in this direction nationally, this paper attempts to ascertain the factors that lead states to adopt disclosure law. Motivation for the study stems from the fact that not all states have yet adopted the law, and states that have enacted the law have done so in different years. The analytical structure employs hazard models, using a unique set of economic and institutional attributes for a panel of 50 US States spanning 21 years, from 1984 to 2004. The proportional hazard analysis of law adoption reveals that greater number of disciplinary actions tends to favor passage of the law. Greater broker supervision, implying generally higher awareness among real estate agents, seems to have a negative impact on the likelihood of a state adopting a Property Condition Disclosure Law. Figure Please query online caption

Multimarket trading and market liquidity

When a security trades at multiple locations simultaneously,an informed trader has several avenues in which to exploit hisprivate information. The greater the proportion of liquiditytrading by 'large' traders who can split their trades acrossmarkets, the larger is the correlation between volume in differentmarkets and the smaller is the informativeness of prices. Weshow that one of the markets emerges as the dominant locationfor trading in that security. When informed traders can usetheir information for more than one trading period, the timelyrelease of price information by market informed traders expectto make subsequently at other locations. Markets makers, competingto offer the lowest cost of trading at their location, consequentlydeter informal trading by voluntarily making the price informationpublic and by 'cracking down' on insider trading.     

Taking stock or cashing in? Shareholder style preferences,premiums and the method of payment

We develop and test hypotheses on the impact of target shareholders' investment style preferences on the method of payment and premiums in acquisitions. Stock offers (unlike cash offers) allow target shareholders to defer capital gains taxes. This deferral value, however, depends on target shareholders' willingness to retain acquirer stock. The empirical findings support our hypotheses. Bid premiums in stock offers are negatively and jointly related to target shareholder tax liabilities and to variables proxying for target shareholder willingness to hold acquirer stock. Moreover, the difference between predicted cash and stock premiums due to these factors significantly explains the method of payment choice.