New York University Stern School of Business Research Paper Series最新文献_第3页

Do Educational Campaigns for On-Shelf Nutritional Labeling Work? 货架上的营养标签教育运动有效吗?

New York University Stern School of Business Research Paper Series Pub Date : 2019-11-16 DOI: 10.2139/ssrn.3500981

B. Bollinger, D. Hammond, E. Hobin, Eli Liebman, J. Sacco

{"title":"Do Educational Campaigns for On-Shelf Nutritional Labeling Work?","authors":"B. Bollinger, D. Hammond, E. Hobin, Eli Liebman, J. Sacco","doi":"10.2139/ssrn.3500981","DOIUrl":"https://doi.org/10.2139/ssrn.3500981","url":null,"abstract":"Front-of-package and on-shelf nutrition labelling systems in supermarkets, such as Guiding Stars, have been shown to lead to only modest increases in the purchase of more nutritious foods. Educational campaigns may increase their use if there is 1) a lack of consumer awareness and/or understanding of the labels, and 2) the information provided lead consumers to prefer different products. We study a large-scale, national campaign for Guiding Stars conducted by a grocery retailer in Canada who implemented the program. Using detailed transaction data, we find only a small increase in the purchase of higher star-rated foods during the campaign, driven by consumers who were already purchasing healthy products, and 40-50% of the effect disappears after the campaign’s conclusion. To explain the limited response, exit surveys were conducted outside of stores before and after the campaign. Awareness and understanding of the nutrition labelling system increased marginally after the campaign, with no increases in self-reported use. To have impact, on-shelf labelling programs must achieve higher levels of awareness and understanding and increase desired usage of the information.","PeriodicalId":124312,"journal":{"name":"New York University Stern School of Business Research Paper Series","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114487046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Designated Market Makers: Competition and Incentives 指定做市商:竞争与激励

New York University Stern School of Business Research Paper Series Pub Date : 2019-08-29 DOI: 10.2139/SSRN.3354400

Mario Bellia, L. Pelizzon, M. Subrahmanyam, Darya Yuferova

引用次数: 5

Pre-Announcement Risk 此前的风险

New York University Stern School of Business Research Paper Series Pub Date : 2019-08-27 DOI: 10.2139/ssrn.3443886

Toomas Laarits

引用次数: 16

Trends Everywhere 各地的趋势

New York University Stern School of Business Research Paper Series Pub Date : 2018-09-01 DOI: 10.2139/ssrn.3386035

Abhilash Babu, A. Levine, Yao Hua Ooi, L. Pedersen, Erik Stamelos

引用次数: 12

The Impact of JOBS Act on M&As 就业法案对并购的影响

New York University Stern School of Business Research Paper Series Pub Date : 2018-05-31 DOI: 10.2139/ssrn.3512491

Jitendra Aswani, Sudip Gupta, I. Hasan, A. Saunders

引用次数: 0

Coming Early to the Party 早点来参加聚会

New York University Stern School of Business Research Paper Series Pub Date : 2017-09-15 DOI: 10.2139/ssrn.3628305

Mario Bellia, L. Pelizzon, M. Subrahmanyam, Junko Uno, Darya Yuferova

引用次数: 3

Explaining Data-Driven Document Classifications 解释数据驱动的文档分类

New York University Stern School of Business Research Paper Series Pub Date : 2013-06-01 DOI: 10.25300/MISQ/2014/38.1.04

David Martens, F. Provost

{"title":"Explaining Data-Driven Document Classifications","authors":"David Martens, F. Provost","doi":"10.25300/MISQ/2014/38.1.04","DOIUrl":"https://doi.org/10.25300/MISQ/2014/38.1.04","url":null,"abstract":"Many document classification applications require human understanding of the reasons for data-driven classification decisions by managers, client-facing employees, and the technical team. Predictive models treat documents as data to be classified, and document data are characterized by very high dimensionality, often with tens of thousands to millions of variables (words). Unfortunately, due to the high dimensionality, understanding the decisions made by document classifiers is very difficult. This paper begins by extending the most relevant prior theoretical model of explanations for intelligent systems to account for some missing elements. The main theoretical contribution is the definition of a new sort of explanation as a minimal set of words (terms, generally), such that removing all words within this set from the document changes the predicted class from the class of interest. We present an algorithm to find such explanations, as well as a framework to assess such an algorithm's performance. We demonstrate the value of the new approach with a case study from a real-world document classification task: classifying web pages as containing objectionable content, with the goal of allowing advertisers to choose not to have their ads appear on those pages. A second empirical demonstration on news-story topic classification shows the explanations to be concise and document-specific, and to be capable of providing understanding of the exact reasons for the classification decisions, of the workings of the classification models, and of the business application itself. We also illustrate how explaining the classifications of documents can help to improve data quality and model performance.","PeriodicalId":124312,"journal":{"name":"New York University Stern School of Business Research Paper Series","volume":"57 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121014811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 264

Mutual Fund's R^2 as Predictor of Performance 共同基金R^2作为业绩预测因子

New York University Stern School of Business Research Paper Series Pub Date : 2012-10-23 DOI: 10.1093/RFS/HHS182

Y. Amihud, Ruslan Goyenko

引用次数: 360

CDS Credit-Event Auctions CDS信用事件拍卖

New York University Stern School of Business Research Paper Series Pub Date : 2011-12-01 DOI: 10.2139/ssrn.2023243

Sudip Gupta, R. Sundaram

{"title":"CDS Credit-Event Auctions","authors":"Sudip Gupta, R. Sundaram","doi":"10.2139/ssrn.2023243","DOIUrl":"https://doi.org/10.2139/ssrn.2023243","url":null,"abstract":"Credit-event auctions were introduced in 2005 to facilitate cash settlement in the credit default swap market following a credit event. They have a novel two-stage structure that makes them distinct from other auction forms. This paper studies outcomes in credit-event auctions over the period 2008-10.Our analysis is in three parts. In the first part, we look at the efficacy of price discovery in the auction. We find that the auction price has a significant bias relative to the pre- and post-auction market prices for the same instruments, and that volatility of market prices often increases after the auction; nonetheless, we find that information generated in the auction has considerable impact on post-auction market prices. In the second part of the analysis, we look at behavior within and across auctions and the factors that influence it. We find, among other things, that “winner’s curse” concerns play a central role, affecting liquidity provision in the auction, the pricing bias, and bidders’ within-auction updating of their private information based on information revealed in the auction’s first stage. In the final part of the paper, under some simplifying assumptions, we carry out a structural estimation to recover the underlying distribution of signals. Using these estimates, we find that the alternative auction formats could reduce the amount of bias in the auction final price.","PeriodicalId":124312,"journal":{"name":"New York University Stern School of Business Research Paper Series","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127680153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

De-Regulating Markets for Financial Information 解除对金融信息市场的管制

New York University Stern School of Business Research Paper Series Pub Date : 2011-11-01 DOI: 10.2139/ssrn.1787619

Laura L. Veldkamp, Pablo Kurlat

引用次数: 1