More than 600,000 young men and women are expected to pursue programs in collegiate business education by 1970. This will double the present enrollment, according to the American Association of Collegiate Schools of Business. Unless drastic steps are taken there will be a shortage of 2,800 teachers in business schools and departments alone. Accounting departments will be among the first to feel the impact of this "impending tidal wave" of students. A round table discussion to consider what accounting departments could do to meet the many problems associated with increasing enrollments was conducted at the 1957 American Accounting Association Convention. In preparation for the session the chairmen undertook an analysis of present teaching practices in elementary accounting throughout the country in the hope that the information collected would be useful in evaluating the different solutions that might be proposed. At the same time, accounting teachers should be preparing themselves for the parts which they are to play in planning their participation in the education of young people in and out of college about the developments in the field of electronic data processing. The purpose of this article is to give accounting teachers a point of contact with electronic data processing, omitting specialized terms and techniques, with sufficient information, so that interest may be created and action may be taken in changing curricula in accounting.

Many tax-exempt hospitals generate substantial profits. At the same time, regulations governing tax-exempt status prohibit these organizations from issuing equity or operating for the benefit of private owners, leaving managers with unusual discretion over retained resources. This combination makes them especially prone to agency problems. Because hospitals play a central role in the U.S. economy, the costs of weak governance extend beyond the sector itself. We find that tax-exempt hospitals spend more on administrative wages and capital investments than comparable taxable hospitals. At the same time, weaker financial performance accompanies greater mission-related activity. A novel, hand-collected measure of additional state-level oversight reveals that stronger oversight disciplines finances without crowding out mission-related activity. Data Availability: The data used in this study are derived from publicly available sources. Hospital financial and operational data are from the Centers for Medicare and Medicaid Services’ Hospital Cost Report Information System (HCRIS). County-level demographic data are from the Area Resource File maintained by the U.S. Department of Health and Human Services. Hospital market definitions are from the Dartmouth Atlas of Health Care. The hand-collected measure of state-level oversight (the O-Score) is described in the manuscript and appendices.

We study the nature and effects of cultural biases in choice under risk and uncertainty by comparing peer-to-peer loans the same individuals ( lenders ) make alone and after observing robo-advised suggestions. When unassisted, lenders are more likely to choose co-ethnic borrowers, facing 8% higher defaults and 7.3pp lower returns. Robo-advising does not affect diversification but reduces lending to high-risk co-ethnic borrowers. Lenders in locations with high inter-ethnic animus drive the results, even when borrowers reside elsewhere. Biased beliefs explain these results better than a conscious taste for discrimination: lenders rarely override robo-advised matches to ethnicities they discriminated against when unassisted.

Several influential studies show that transformations of implied volatilities calculated from options prices predict stock returns. This predictability is puzzling because market participants readily observe options prices. We find that this predictability is consistent with implied volatilities reflecting stock borrow fees that are known to predict stock returns. We derive a formula relating the option-implied volatility spread to the borrow fee. Motivated by this relation, we show that the return predictability from implied volatility spread and skew decreases by at least two-thirds if high-fee stocks are excluded. The patterns for other predictors computed from option implied volatilities are similar.

Since the global financial crisis, interest rate swap rates, which represent future uncollateralized interbank borrowing, have fallen below maturity-matched Treasury rates. This is surprising, because US Treasuries, which are deemed expensive because of superior liquidity and safety, should produce yields that are lower than those of swap rates. We show, by no-arbitrage, that sovereign default risk explains negative swap spreads even without frictions such as balance sheet constraints, convenience yield, and hedging demand. We support this explanation with an equilibrium model that jointly accounts for macroeconomic fundamentals and the term structures of interest and US credit default swap rates.

We find evidence consistent with previously unrecognized market manipulation by broker-dealers. Specifically, we show that pre-trade hedging, which is distinct from front-running, alters prices at which derivative trades occur. We show this behavior is intentional by exploiting variation in the design of structured equity products (SEPs). We find positive abnormal returns on SEP pricing dates for which issuers benefit from altering closing stock prices but no such returns on pricing dates of otherwise similar SEPs. We also show that large buy trades near the close of trading are more frequent when SEP issuers have incentives to alter closing stock prices.

We use data on signed option volume to study which components of option volume predict stock returns and resolve the seemingly inconsistent results in the literature. We find no evidence that trades related to synthetic short positions in the underlying stocks contain more information than trades related to synthetic long positions. Purchases of calls that open new positions are the strongest predictor of returns, followed by call sales that close out existing purchased call positions. Overall, our results indicate that the role of options in providing embedded leverage is the most important channel why option trading predicts stock returns.

Many schools in large urban districts have more applicants than seats. Centralized school assignment algorithms ration seats at over‐subscribed schools using randomly assigned lottery numbers, non‐lottery tie‐breakers like test scores, or both. The New York City public high school match illustrates the latter, using test scores and other criteria to rank applicants at the city's screened schools, combined with lottery tie‐breaking at the rest. We show how to identify causal effects of school attendance in such settings. Our approach generalizes regression discontinuity methods to allow for multiple treatments and multiple running variables, some of which are randomly assigned. The key to this generalization is a local propensity score that quantifies the school assignment probabilities induced by lottery and non‐lottery tie‐breakers. The utility of the local propensity score is demonstrated in an assessment of the predictive value of New York City's school report cards. Schools that earn the highest report card grade indeed improve SAT math scores and increase graduation rates, though by much less than OLS estimates suggest. Selection bias in OLS estimates of grade effects is egregious for screened schools.

Americanae nace como un proyecto conjunto que surge dentro de la Red Europea de Información y Documentación sobre América Latina (REDIAL), y que ha afrontado la Biblioteca de la Agencia Española de Cooperación Internacional para el Desarrollo (AECID). Esta nueva biblioteca virtual hace más accesibles los libros digitales de tema americanista a los investigadores y usuarios interesados de cualquier parte del mundo.

We establish conditions which (in various settings) guarantee the existence of equilib-ria described by ergodic Markov processes with a Borel state space S. Let 9(S) denote the probability measures on S, and let s- G(s) c 4?(S) be a (possibly empty-valued) correspondence with closed graph characterizing intertemporal consistency, as prescribed by some particular model. A nonempty measurable set J c S is self-justified if G(s) n 9?(J) is not empty for all s E J. A time-homogeneous Markov equilibrium (THME) for G is a self-justified set J and a measurable selection TI: J-9 _(J) from the restriction of G to J. The paper gives sufficient conditions for existence of compact self-justified sets, and applies the theorem: If G is convex-valued and has a compact self-justified set, then G has an THME with an ergodic measure. The applications are (i) stochastic overlapping generations equilibria, (ii) an extension of the Lucas (1978) asset market equilibrium mnodel to the case of heterogeneous agents, and (iii) equilibria for discounted stochastic games with uncountable state spaces.