Predicting corporate financial distress: Reflections on choice-based sample bias

Financial distress precedes bankruptcy. Most financial distress models actually rely on bankruptcy data, which is easier to obtain. We obtained a dataset of financially distressed but not yet bankrupt companies supplying a major auto manufacturer. An early warning model successfully discriminated between these distressed companies and a second group of similar but healthy companies. Previous researchers argue the matched-sample design, on which some earlier models were built, causes bias. To test for bias, the dataset was partitioned into smaller samples that approach equal groupings. We statistically confirm the presence of a bias and describe its impact on estimated classification rates.     

CORPORATE BONDS AND PRODUCT MARKET COMPETITION

I examine the effect of product market competition on the yield spread of corporate bonds. I find that firms that face more competitive threats also face a higher cost of corporate bond debt. After controlling for common bond-level, firm-level, and macroeconomic variables, my results show that bondholders of firms that are subject to increased competition demand significantly higher credit spreads than holders of otherwise similar bonds. Furthermore, this effect is more pronounced for firms that have assets that are difficult to redeploy. Overall, my findings provide evidence that competitive threats are being reflected in corporate debt prices.     

A theory of search with deadlines and uncertain recall

We ask how the ability to recall past prices affects the dynamics of search and price formation. In the model, buyers have limited time to purchase a good and face uncertainty regarding the availability of past price quotes in the future. Sellers cannot observe a potential buyer’s remaining time until deadline nor her quote history, and hence post prices that weigh the probability of sale versus the profit once sold. We find that, in contrast to conventional wisdom, reducing the consumer’s recall ability may actually improve his expected utility because it lowers the average expected price in the market and reduces the duration of search.     

Inverting the Classroom: A Gateway to Creating an Inclusive Learning Environment

Asserting that “elementary teachers are going to become increasingly involved with economic concepts, and that economic education at the elementary level is at an important developmental state,” Professor Ramsett explains how economics can be included in the elementary school curriculum without taking other subject matter out, and suggests approaches to the training of elementary teachers. He describes some innovative techniques being used at North Dakota's New School of Behavioral Studies, illustrates methods for motivating pupils, shows how economic concepts can be related to other subjects (such as arithmetic), and calls for cooperation between educators and liberal arts faculties in preparing the elementary teacher.     

Rushing to Overpay: Modeling and Measuring the REIT Premium

We explore the questions of why Real Estate Investment Trusts (REITs) pay more for real estate than non-REIT buyers and by how much. First, we develop a search model where REITs optimally pay more for property because (1) they are willing, due to cost of capital advantages and, (2) they are occasionally rushed, due to external regulatory time constraints and internal incentives to deploy capital quickly. Second, using commercial real estate transactions, we find that the extant hedonic pricing models contain an unobserved explanatory variables bias leading to inflated estimates of the REIT premium. Third, using a repeat-sales methodology that controls for unobserved property characteristics, we derive more plausible estimates of the REIT premium. Consistent with our model, we also find the REIT-buyer premium depends on the size of the REIT advantage, the rush to deploy, and the relative presence of REITs in the market.     

COVID-19 and Ethnic Inequalities in England and Wales*

The economic and public health crisis created by the COVID-19 pandemic has exposed existing inequalities between ethnic groups in England and Wales, as well as creating new ones. We draw on current mortality and case data, alongside pre-crisis labour force data, to investigate the relative vulnerability of different ethnic groups to adverse health and economic impacts. After accounting for differences in population structure and regional concentration, we show that most minority groups suffered excess mortality compared with the white British majority group. Differences in underlying health conditions such as diabetes may play a role; so too may occupational exposure to the virus, given the very different labour market profiles of ethnic groups. Distinctive patterns of occupational concentration also highlight the vulnerability of some groups to the economic consequences of social distancing measures, with Bangladeshi and Pakistani men particularly likely to be employed in occupations directly affected by the UK's ‘lockdown’. We show that differences in household structures and inequalities in access to savings mean that a number of minority groups are also less able to weather short-term shocks to their income. Documenting these immediate consequences of the crisis reveals the potential for inequalities to become entrenched in the longer term.     

Women's roles and the great world transformation

The constructive worldwide processes of reform that have brought about, among other things, a reversal in attitudes towards birth control, sex, women's rights, marriage, and the family are competing with the disasters of famine, war, and economic collapse as the old structures break down under new global problems. If we are to survive, thousands of problems must be solved and our efforts “orchestrated” so as to fit together, at every level from personal awareness to global management. Women must identify the many areas of special concern to them, where their new analyses and reform efforts are needed to reverse the false goals and practices of centuries of male-dominated societies. One example is the crucial need for new analyses and design efforts for improved family structures.