Increasing pay transparency: A guide for change

The gender pay gap is an important issue today in the U.S. The lack of transparency surrounding pay in businesses is viewed as one cause of this gap. The first section of this article explores the origins of the gender pay gap and presents a brief history of pay transparency. Then, I propose a framework built from three continua that breaks the concept of pay transparency into types and levels. Using this framework, I offer guidance to organizations that want to increase pay transparency. The article concludes with a discussion of the risks associated with increased pay transparency and suggestions for future research.     

Does Interindustry and Intraindustry Information Help Predict Financial Distress?

This study investigates whether and how the accounting ratios of peer firms within the same industry (the industry peers) or firms within the industry of their customers (the downstream peers) help improve the predictability of sample firm financial distress. We document that the Z‐score factors of the companies with high correlation in stock returns help predict financial distress. The results show that accounting‐based ratios of the industry peers and the downstream peers enhance the accuracy of early warnings of financial distress, especially when prior returns of peer firms are highly correlated with the sample firm.     

The European origins of economic development

Although a large literature argues that European settlement outside of Europe during colonization had an enduring effect on economic development, researchers have been unable to assess these predictions directly because of an absence of data on colonial European settlement. We construct a new database on the European share of the population during colonization and examine its association with economic development today. We find a strong, positive relation between current income per capita and colonial European settlement that is robust to controlling for the current proportion of the population of European descent, as well as many other country characteristics. The results suggest that any adverse effects of extractive institutions associated with small European settlements were, even at low levels of colonial European settlement, more than offset by other things that Europeans brought, such as human capital and technology.     

Family firm succession and performance

We analyse more than half a million businesses from the Census Bureau’s 2007 Survey of Business Owners with less survivorship and size biases. After controlling for firm- and owner-specific characteristics, we find family businesses generate fewer receipts and less employment and payroll. Family businesses involving a second-generation owner-manager show better performance. On the other hand, those managed by founder-owners show worse performance. These results of all firms, mostly small businesses, are contrary to the previous studies of large public firms. However, for a subsample of 2064 businesses large enough to be listed on a US stock exchange, the results become consistent with the previous large-firm studies.     

Environmental Multi‐dimensionality and Staff Localization in Multinational Enterprises: The Case of Korean Firms

The person–environment fit theory posits that the term “environment” can be defined at different levels. This study delineates two environmental dimensions (strategic and organizational) and empirically examines the potential moderating effects of two strategic factors (intra‐ and inter‐regional diversification) on the relationship between two organizational factors (subsidiary ownership and host‐country experience) and MNE subsidiary staffing composition. The results indicate that strategic and organizational dimensions have impacts on subsidiary staffing composition. This study also finds that the interaction effects between strategic and organizational factors are significant only when there is congruence between demands from different environmental dimensions.     

Price determinants of bred heifers: Do reputations matter?

Replacement brood cows are among the most significant investments for cow-calf operations, thus crucial to profitability. Many cow-calf producers find it cost effective to purchase replacements from a reliable replacement heifer seller, though by doing so they increase risk of reproductive inefficiency due to unknown characteristics of the heifers. When important information about a product is missing to buyers, a seller can build a reputation over time that acts as signal for quality. Previous work has explored reputation effects in feeder cattle markets, but to our knowledge we are the first to explore reputation effects in bred replacement cattle markets. Using data from an annual replacement heifer sale, we analyze the values of heifer characteristics and test for premiums from reputation development. After controlling for reproductive practices, breed, and other characteristics, we find reputation does not play the role that Shapiro theorized. In this sale, the lot order is strategically chosen and may indicate bred heifer quality to buyers, replacing the need for reputation as a signal. This study highlights the importance of quality signals and regional preferences in bred replacement cattle marketing and lays the empirical groundwork for future studies to test Shapiro's theory.     

Estimating the gravity model when zero trade flows are frequent and economically determined

ABSTRACT

Since the 1950s, we have known that the presence of zero-valued dependent variables can seriously bias econometric estimates whether the zeros are included or excluded. Yet the widely-used gravity model is frequently estimated on samples that include large fractions of zeros. An influential paper by Santos Silva and Tenreyro – based on simulations that include no economically-determined zeros – concludes that the bias problems resulting from zeros and those resulting from heteroscedasticity and nonlinearity can be solved using the Poisson Pseudo-Maximum-Likelihood (PPML) model including the zero values. This paper begins by adapting the Santos Silva and Tenreyro experimental design to include economically-determined zeros to see whether this conclusion continues to hold. With this design, it finds that alternative estimators have lower bias than PPML. Changing to a Monte Carlo design that replicates the much-higher real-world frequency of predicted values near zero restores the finding of lower bias with the PPML estimator. The results highlight the need for very careful design of Monte Carlo experiments when evaluating alternative estimators of the gravity model.