Regional influences on the prevalence of family versus non-family start-ups

We integrate insights from family business and organizational ecology into the entrepreneurship field by constructing a theoretical framework that explains how the regional context impacts family and non-family start-ups in differing ways. Regional count data models based on a rich longitudinal dataset reveal that while economic factors such as population size and growth in regions are primarily associated with the number of non-family start-ups, factors related to regional embeddedness, such as pre-existing small family businesses as well as favorable community attitudes toward small businesses, are more strongly associated with the number of family start-ups. Our research provides support for the notion that ‘the regional context’ is an important yet under-theorized area for research on venture creation and family business.     

Practice makes perfect: Entrepreneurial-experience curves and venture performance

This study tackles the puzzle of why increasing entrepreneurial experience does not always lead to improved financial performance of new ventures. We propose an alternate framework demonstrating how experience translates into expertise by arguing that the positive experience–performance relationship only appears to expert entrepreneurs, while novice entrepreneurs may actually perform increasingly worse because of their inability to generalize their experiential knowledge accurately into new ventures. These negative performance implications can be alleviated if the level of contextual similarity between prior and current ventures is high. Using matched employee–employer data of an entire population of Swedish founder-managers between 1990 and 2007, we find a non-linear relationship between entrepreneurial experience and financial performance consistent with our framework. Moreover, the level of industry, geographic, and temporal similarities between prior and current ventures positively moderates this relationship. Our work provides both theoretical and practical implications for entrepreneurial experience—people can learn entrepreneurship and pursue it with greater success as long as they have multiple opportunities to gain experience, overcome barriers to learning, and build an entrepreneurial-experience curve.     

Cross-ownership as a structural explanation for over- and underestimation of default probability

Based on the work of Suzuki, we consider a generalization of Merton’s asset valuation approach in which two firms are linked by cross-ownership of equity and liabilities. Suzuki’s results then provide no arbitrage prices of firm values, which are derivatives of exogenous asset values. In contrast to the Merton model, the assumption of lognormally distributed assets does not result in lognormally distributed firm values, which also affects the corresponding probabilities of default. In a simulation study we see that, depending on the type of cross-ownership, the lognormal model can lead to both over- and underestimation of the actual probability of default of a firm under cross-ownership. In the limit, i.e. if the levels of cross-ownership tend to their maximum possible value, these findings can be shown theoretically as well. Furthermore, we consider the default probability of a firm in general, i.e. without a distributional assumption, and show that the lognormal model is often able to yield only a limited range of probabilities of default, while the actual probabilities may take any value between 0 and 1.     

The political economy of campaign contributions in insurance markets

Contributions to election campaigns are tracked by the National Institute on Money in State Politics. In this paper, we use this data to examine patterns in political campaign contributions made by the insurance industry. We compile a state-level data set that aggregates over 67,000 election campaign contributions to insurance regulators and governors; we show that candidate incumbency status is associated with a 20% to 30% increase in the share of contributions made to the incumbent insurance regulator's political party. Because incumbents are overwhelmingly favored to win elections, the industry's behavior suggests that insurers are more concerned with access to the elected official than with supporting a candidate that shares the industry's goals.     

Balancing the risk of ‘Lazearian’ interrupters and the benefits of educational and social peers: tracing parental preferences for class-size reduction

Using Danish survey data from a choice experiment, parental preferences for class-size reduction are estimated. While parents with children in large classes are willing to pay for class-size reduction, parents with children in small classes are reluctant and even express negative utility for further class-size reduction. We interpret this as parents balancing the risk of ‘Lazearian’ interrupters and the benefits of educational and social peers when forming their preferences for class size.     

Improving footprint calculations of small open economies: combining local with multi-regional input–output tables

In a small, open and resource-poor economy, import and export dependency have an ever-growing impact on local policy decisions, which makes local (environmental) policy-makers increasingly depend on global data. This increases the interest in models that link local production and consumption data to global production, trade and environmental data. The recent increase in availability of global environmentally extended multi-regional input-output tables (EE-MRIO tables) provides an opportunity to link them with existing local environmentally extended input-output tables (EE-RIO tables). These combined tables make it possible (1) to analyse the links between local and global production and consumption and (2) to study global value chains, material use and environmental impacts simultaneously. However, estimations using input-output (I–O) analyses contain errors due to imperfect databases. In this article the magnitude of specification, aggregation and time errors are estimated and compared. The results show the need to combine local datasets with multi-regional ones and show that highest detailed (country and sector levels) as well as time series of I–O tables are the way forward for using I–O analyses in local policy-making. The paper provides guidance on trading off investments in model adoption and/or extension and the reliability of estimation results.