This paper analyzes the welfare implications of buyer mergers, which are mergers between downstream firms from different markets. We focus on the interaction between the merger's effects on downstream efficiency and on buyer power in a setup where one manufacturer with a non-linear cost function sells to two locally competitive retail markets. We show that size discounts for the merged entity has no impact on consumer prices or on smaller retailers, unless the merger affects the downstream efficiency of the merging parties. When the upstream cost function is convex, we find that there are "waterbed effects," that is, each small retailer pays a higher average tariff if a buyer merger improves downstream efficiency. We obtain the opposite results, "anti-waterbed effects," if the merger is inefficient. When the cost function is concave, there are only anti-waterbed effects. In each retail market, the merger decreases the final price if and only if it improves the efficiency of the merging parties, regardless of its impact on the average tariff of small retailers.
The paper integrates and builds on extant thinking in corporate marketing and CSR to provide an identity-based conceptualization of CSR. Based on this, it positions CSR as an optimal managerial tool for promoting alignment between multiple corporate identities (e.g., internal, external), which ultimately leads to key benefits for the company.
In this paper we focus on modeling and predicting the loss distribution for credit risky assets such as bonds and loans. We model the probability of default and the recovery rate given default based on shared covariates. We develop a new class of default models that explicitly account for sector specific and regime dependent unobservable heterogeneity in firm characteristics. Based on the analysis of a large default and recovery data set over the horizon 1980-2008, we document that the specification of the default model has a major impact on the predicted loss distribution, while the specification of the recovery model is less important. In particular, we find evidence that industry factors and regime dynamics affect the performance of default models, implying that the appropriate choice of default models for loss prediction will depend on the credit cycle and on portfolio characteristics. Finally, we show that default probabilities and recovery rates predicted out-of-sample are negatively correlated, and that the magnitude of the correlation varies with seniority class, industry, and credit cycle.
coordination, project work, knowledge work, technical work, open source software, lateral authority, communities of practice, community project, technical community, community forms
Project forms of organizing are theorized to rely upon horizontal as opposed to vertical lines of authority, but few have examined how this shift affects progression-how people advance in an organization. We argue that progression without hierarchy unfolds when people assume lateral authority over project tasks without managing people. With a longitudinal study of a mature, collectively managed open source software project, we predict the individual behaviors that enable progression to lateral authority roles at two different stages. Although technical contributions are initially important, coordination work is more critical at a subsequent stage. We then explore how lateral authority roles affect subsequent behavior-after gaining authority, individuals spend significantly more time coordinating project work. Our research shows how people progress to the center as opposed to up a hierarchy, and how progression differs by stage and specifies the theoretical relationship between lateral authority roles and the coordination of project work.
banks, liquidity, money markets, repos, imbalance, short squeezing, financial health, liquidity networks, state guarantees
JEL Code(s)
G12, G21, E43, E58, D44
We study the prices individual banks pay for liquidity (captured by borrowing rates in repos with the central bank and benchmarked by the overnight index swap) as a function of market conditions and bank characteristics. These prices depend in particular on the distribution of liquidity across banks, which is calculated over time using individual bank level data on reserve requirements and actual holdings. Banks pay more for liquidity when positions are more imbalanced across banks, consistent with the existence of short squeezing. We also document that small banks pay more for liquidity and are more vulnerable to squeezes. Healthier banks pay less, but contrary to what one might expect, banks in formal liquidity networks do not. State guarantees reduce the price of liquidity, but do not protect against squeezes.
With permission of Elsevier
Volume
102
Journal Pages
344–362
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