As I just indicated, Schama did not present Calvinism as the only intellectual background to the Dutch embarrassment of riches. He also pointed to the important role played by humanism, which succeeded in reconciling ethics and wealth in a pragmatic manner: wealth did not have to be rejected, as long as its owner used it for good purposes, such as charity contributions or loans without usury:
The starting point of my analysis will be the following passage from the Batavia about excesses of wealth, especially with regard to foreign delicacies. This passage illustrates that humanist writings from the sixteenth century indeed provided a rich soil for the embarrassment of riches in the seventeenth century that was described by Schama.20
The Embarrassment Of Riches Pdf Download
Again, the intellectual movement that Junius seems to adhere to here is not Stoicism or any other philosophy, but the conservative Roman tradition which recounts how the old virtuous Rome became corrupted as a result of the exotic riches that flooded the city after its conquests in the decadent East. Polybius, one of the first authors who expressed this idea, made an explicit connection with the thought of Cato, who is also mentioned by Junius here and who had said that the decline of the Roman Republic could be observed in the fact that male prostitutes were more profitable than farming land, and pots of caviar more than ploughmen.34 The idea of Roman decadence caused by (Oriental) riches subsequently became a stock ingredient of the Roman historiographical tradition,35 taken up by authors such as Sallust, Tacitus, and Gellius, who all shared an admiration for Cato.36
For many physicians, there is an embarrassment of riches when it comes to therapeutic options in CML. When choosing frontline TKI treatment, the clinician must consider what is known about CML biology and the safety and efficacy profiles of the 3 TKIs to achieve the best possible outcome for the patient. Key issues to consider are the patient's long-term goals, the intrinsic risk profile of the leukemia, and patient comorbidities. The emerging importance of treatment-free remission as a goal of therapy will likely assume increasing prominence in the treatment paradigm. The recent availability of ponatinib has expanded our second- and third-line options and further reduced the pool of patients who will need to be considered for allografts. Recent progress in the development of predictive assays that can accurately identify high-risk patients should provide a solid basis for the development of customized therapy over the next decade.
Ethnohistory 51.2 (2004) 415-420 // --> [Access article in PDF] Special Review Essay Section: The Current State of Maya Studies Everything Old Is New Again Traci Ardren University of Miami The Maya and Teotihuacan: Reinterpreting Early Classic Interaction. Edited by Geoffrey E. Braswell. (Austin: University of Texas Press, 2003. xvi + 423 pp., foreword, introduction, bibliography, index, maps. $40.00 cloth.) Maya Palaces and Elite Residences: an Interdisciplinary Approach. Edited by Jessica Joyce Christie. (Austin: University of Texas Press, 2003. x + 340 pp., introduction, bibliography, index, maps. $50.00 cloth.) The Postclassic Mesoamerican World. Edited by Michael E. Smith and Frances F. Berdan (Salt Lake City: University of Utah Press, 2003. xiv + 382 pp., preface, bibliography, index, maps. $75.00 cloth.) In some ways it is comforting that Mesoamerican archaeologists, especially Mayanists, return time and again to the same topics of investigation. Perhaps it is the embarrassment of riches we steward, the complex architecture and breathtaking art of Classic urban centers. Perhaps we are too overwhelmed with the task of cataloging this amazing inventory of material culture to venture far from the central questions of research that have characterized our discipline from its inception. As our archaeological colleagues in North America or Europe strive to squeeze data from a less urbane material record, they are forced to create bridging theories and explore new areas of inquiry, slippery topics for the archaeologist such as identity or colonialism.
Jana Eklund (Obfuscate( 'bankofengland.co.uk', 'jana.eklund' )) and Sune Karlsson (Obfuscate( 'oru.se', 'sune.karlsson' )) Additional contact information Jana Eklund: Bank of EnglandSune Karlsson: Department of Business, Economics, Statistics and Informatics, Postal: Örebro University, Department of Business, Economics, Statistics and Informatics, SE - 701 82 ÖREBRO, SwedenAbstract: The increasing availability of data and potential predictor variables poses new challenges to forecasters. The task of formulating a single forecasting model that can extract all the relevant information is becoming increasingly difficult in the face of this abundance of data. The two leading approaches to addressing this "embarrassment of riches" are philosophically distinct. One approach builds forecast models based on summaries of the predictor variables, such as principal components, and the second approach is analogous to forecast combination, where the forecasts from a multitude of possible models are averaged. Using several data sets we compare the performance of the two approaches in the guise of the diffusion index or factor models popularized by Stock and Watson and forecast combination as an application of Bayesian model averaging. We find that none of the methods is uniformly superior and that no method performs better than, or is outperformed by, a simple AR(p) process. Keywords: Bayesian model averaging; Diffusion indexes; GDP growth rate; Inflation rate JEL-codes: C11; C51; C52; C53 27 pages, March 31, 2007 Full text files wp-1-2007.pdf Download statistics
Questions (including download problems) about the papers in this series should be directed to (Obfuscate( 'oru.se', 'forskningsadm.hh' ))Report other problems with accessing this service to Sune Karlsson (Obfuscate( 'oru.se', 'sune.karlsson' )).
So much information would seem to be a pure blessing. After all, knowing more is always better than knowing less. In truth, it represents an embarrassment of riches. By now, we seem to know too much, making it difficult to conceptualize cancer research as a single coherent body of science rather than a patchwork quilt of discoveries that bear only a vague relationship with one another.
The Value of Statistical Life (VSL) is arguably the most important number in benefit-cost analyses of environmental, health, and transportation policies. However, agencies have used a wide range of VSL values. One reason may be the embarrassment of riches when it comes to VSL studies. While meta-analysis is a standard way to synthesize information across studies, we now have multiple competing meta-analyses and reviews. Thus, to analysts, picking one such meta-analysis may feel as hard as picking a single "best study." This paper responds by taking the meta-analysis another step, estimating a meta-analysis (or mixture distribution) of six meta-analyses. The baseline model yields a central VSL of $7.0m, with a 90% confidence interval of $2.4m to $11.2m. The provided code allows users to easily change subjective weights on the studies, add new studies, or change adjustments for income, inflation, and latency.
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