...Opinion Mining Using Econometrics: A Case Study on Reputation Systems Anindya Ghose Panagiotis G. Ipeirotis Arun Sundararajan Department of Information, Operations, and Management Sciences Leonard N. Stern School of Business, New York University {aghose,panos,arun}@stern.nyu.edu Abstract Deriving the polarity and strength of opinions is an important research topic, attracting significant attention over the last few years. In this work, to measure the strength and polarity of an opinion, we consider the economic context in which the opinion is evaluated, instead of using human annotators or linguistic resources. We rely on the fact that text in on-line systems influences the behavior of humans and this effect can be observed using some easy-to-measure economic variables, such as revenues or product prices. By reversing the logic, we infer the semantic orientation and strength of an opinion by tracing the changes in the associated economic variable. In effect, we use econometrics to identify the “economic value of text” and assign a “dollar value” to each opinion phrase, measuring sentiment effectively and without the need for manual labeling. We argue that by interpreting opinions using econometrics, we have the first objective, quantifiable, and contextsensitive evaluation of opinions. We make the discussion concrete by presenting results on the reputation system of Amazon.com. We show that user feedback affects the pricing power of merchants and by measuring their pricing...
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...areas of Computer Science & Applications; Commerce; Business; Finance; Marketing; Human Resource Management; General Management; Banking; Economics; Tourism Administration & Management; Education; Law; Library & Information Science; Defence & Strategic Studies; Electronic Science; Corporate Governance; Industrial Relations; and emerging paradigms in allied subjects like Accounting; Accounting Information Systems; Accounting Theory & Practice; Auditing; Behavioral Accounting; Behavioral Economics; Corporate Finance; Cost Accounting; Econometrics; Economic Development; Economic History; Financial Institutions & Markets; Financial Services; Fiscal Policy; Government & Non Profit Accounting; Industrial Organization; International Economics & Trade; International Finance; Macro Economics; Micro Economics; Rural Economics; Co-operation; Demography: Development Planning; Development Studies; Applied Economics; Development Economics; Business Economics; Monetary Policy; Public Policy Economics; Real Estate; Regional Economics; Political Science; Continuing Education; Labour Welfare; Philosophy; Psychology; Sociology; Tax Accounting; Advertising & Promotion Management; Management Information Systems (MIS); Business Law; Public Responsibility & Ethics; Communication; Direct Marketing; E-Commerce; Global Business; Health Care Administration; Labour Relations & Human Resource Management; Marketing Research; Marketing Theory & Applications; Non-Profit Organizations; Office...
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...analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application. Examples of qualitative methods include: * action research aims to contribute both to the practical concerns of people in an immediate problematic situation and to the goals of social science by joint collaboration within a mutually acceptable ethical framework; * case study research - a case study is an empirical enquiry that investigates a contemporary phenomenon within its real-life context; * ethnography- the ethnographer immerses her/himself in the life of people s/he studies and seeks to place the phenomena studied in its social and cultural context. However examples of quantitative methods now well accepted in the social sciences and education include: * surveys; * laboratory experiments; * formal methods such as econometrics: * numerical methods such as mathematical modelling. Quantitative Techniques. Quantitative techniques are mathematical and statistical models describing a diverse array of variables’ relationships, and are designed to assist administrators with...
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...SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING Marco Caliendo IZA, Bonn Sabine Kopeinig University of Cologne Abstract. Propensity score matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in very diverse fields of study. Once the researcher has decided to use PSM, he is confronted with a lot of questions regarding its implementation. To begin with, a first decision has to be made concerning the estimation of the propensity score. Following that one has to decide which matching algorithm to choose and determine the region of common support. Subsequently, the matching quality has to be assessed and treatment effects and their standard errors have to be estimated. Furthermore, questions like ‘what to do if there is choice-based sampling?’ or ‘when to measure effects?’ can be important in empirical studies. Finally, one might also want to test the sensitivity of estimated treatment effects with respect to unobserved heterogeneity or failure of the common support condition. Each implementation step involves a lot of decisions and different approaches can be thought of. The aim of this paper is to discuss these implementation issues and give some guidance to researchers who want to use PSM for evaluation purposes. Keywords. Propensity score matching; Treatment effects; Evaluation; Sensitivity analysis; Implementation 1. Introduction ...
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...ANALYZER: A QUASI-STRUCTURAL MODEL OF MORTGAGE PORTFOLIO LOSSES TECHNICAL DOCUMENT 1 Mar 4, 2011 Roger M. Stein Ashish Das Yufeng Ding Shirish Chinchalkar ABSTRACT This document outlines the underlying research, model characteristics, data, and validation results for Mortgage Portfolio Analyzer, which is an analytic tool to assess credit risk measures, capital levels and stress scenarios for portfolios of residential mortgages. Mortgage Portfolio Analyzer comprises loan-level econometric models for default, prepayment, and severity. These models are integrated through common dependence on local macro-economic factors, which can be either simulated at national, state, and Metropolitan Statistical Area (MSA) levels or input in the form of stress scenarios. This integration produces correlation in behaviors of loans across the portfolio. The simulation incorporates a multi-step Monte Carlo approach and generates monthly P&I cash flows and losses which enables the model to be used for ALM applications or to be combined with an external cash flow waterfall tool and used for simulation of RMBS transactions. Scenario and stress testing is also done in a multiperiod framework. Furthermore, the model accommodates both loan-level and portfolio-level mortgage insurance. The resulting tool can be used for analyzing the credit risk in both portfolios of whole loans and RMBS transactions. © 2011 Moody’s Research Labs. All rights reserved. Many past and present members of the current...
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...information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. All rights reserved. Reproduction and dissemination of material in this information product for educational or other non-commercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. Reproduction of material in this information product for resale or other commercial purposes is prohibited without the written permission of the copyright holders. Applications for such permission should be addressed to the Chief, Publishing Management Service, Information Division, FAO, Viale delle Terme di Caracalla, 00100 Rome, Italy or by e-mail to copyright@fao.org. © FAO 2006 ABSTRACT In this...
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...JOURNAL OF APPLIED ECONOMETRICS J. Appl. Econ. 23: 925– 948 (2008) Published online 7 November 2008 in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/jae.1036 ECONOMETRICS OF AUCTIONS BY LEAST SQUARES LEONARDO REZENDE* PUC-Rio, Rio de Janeiro, Brazil; and University of Illinois at Urbana–Champaign, Illinois, USA SUMMARY I investigate using the method of ordinary least squares (OLS) on auction data. I find that for parameterizations of the valuation distribution that are common in empirical practice, an adaptation of OLS provides unbiased estimators of structural parameters. Under symmetric independent private values, adapted OLS is a specialization of the method of moments strategy of Laffont, Ossard and Vuong (1995). In contrast to their estimator, here simulation is not required, leading to a computationally simpler procedure. The paper also discusses using estimation results for inference on the shape of the valuation distribution, and applicability outside the symmetric independent private values framework. Copyright 2008 John Wiley & Sons, Ltd. Received 15 September 2006; Revised 1 July 2008 1. INTRODUCTION The field of econometrics of auctions has been successful in providing methods for the investigation of auction data that are well grounded in economic theory and allow for inference on the structure of an auction environment. Today, a researcher has a number of alternative structural methods, especially within the independent private-values paradigm...
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...as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business and an organizational commitment to data-driven decision making. Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis. Data acquisition often involves extraction from one or more business systems, cleansing, and integration into a single repository such as a data warehouse or data mart. The analysis is typically performed against a smaller sample set of data. Analytic tools range from spreadsheets with statistical functions to complex data mining and predictive modeling applications. As patterns and relationships in the data are uncovered, new questions are asked and the analytic process iterates until the...
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...IMPORTANCE OF QUANTITATIVE TECHNIQUES IN MANAGERIAL DECISIONS *P.Murugesan Abstract The term ‘Quantitative techniques’ refers to the methods used to quantify the variables in any discipline. It means the application of subjects like mathematics and statistics, econometrics and operations research to understand and solve problems.. It is a study of the application of differential calculus, integral calculus and matrix algebra, measures of central tendencies, measures of averages, correlation and regression etc. It also includes the application of the techniques of management science such as Linear programming, Game theory, CPM and PERT analyses to business problems. The relevance and usefulness of Quantitative Techniques in seven functional areas of Management are discussed in this paper. Introduction: Truly, the importance of Quantitative proficiency cannot be over emphasized to Management Professionals! This body of knowledge involving quantitative approaches has been given various names likeBusiness Mathematics, Business Statistics, Operations Research, Decision Science and Management Science. All are concerned with rational approaches to decision making based on the scientific method. For example, consider the following simple mathematical problem: A) “A Mayor of a town wants to improve the bus services between 2 destinations falling within his district. The destinations are 1 hour journey apart and he wants the bus services in such a way that a traveler need not wait for more...
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...Click here to download the solutions manual / test bank INSTANTLY!! http://testbanksolutionsmanual.blogspot.com/2011/02/accounting-information-systems-romney.html ------------------------------------------------------------------------------------------------------------------------ Accounting Information Systems Romney 11th Edition Solutions Manual Accounting Information Systems Romney 11th Edition Solutions Manual Accounting Information Systems Romney 11th Edition Solutions Manual Accounting Information Systems Romney Steinbart 11th Edition Solutions Manual Accounting Information Systems Romney Steinbart 11th Edition Solutions Manual ------------------------------------------------------------------------------------------------------------------------ ***THIS IS NOT THE ACTUAL BOOK. YOU ARE BUYING the Solution Manual in e-version of the following book*** Name: Accounting Information Systems Author: Romney Steinbart Edition: 11th ISBN-10: 0136015182 Type: Solutions Manual - The file contains solutions and questions to all chapters and all questions. All the files are carefully checked and accuracy is ensured. - The file is either in .doc, .pdf, excel, or zipped in the package and can easily be read on PCs and Macs. - Delivery is INSTANT. You can download the files IMMEDIATELY once payment is done. If you have any questions, please feel free to contact us. Our response is the fastest. All questions will always be answered in 6...
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...Vol. 27, No. 5, September–October 2008, pp. 811–828 issn 0732-2399 eissn 1526-548X 08 2705 0811 informs ® doi 10.1287/mksc.1080.0398 © 2008 INFORMS Supermarket Pricing Strategies Department of Economics, Duke University, Durham, North Carolina 27708, paul.ellickson@duke.edu William E. Simon School of Business Administration, University of Rochester, Rochester, New York 14627, misra@simon.rochester.edu Paul B. Ellickson Sanjog Misra M ost supermarket firms choose to position themselves by offering either everyday low prices (EDLP) across several items or offering temporary price reductions (promotions) on a limited range of items. While this choice has been addressed from a theoretical perspective in both the marketing and economic literature, relatively little is known about how these decisions are made in practice, especially within a competitive environment. This paper exploits a unique store level data set consisting of every supermarket operating in the United States in 1998. For each of these stores, we observe the pricing strategy the firm has chosen to follow, as reported by the firm itself. Using a system of simultaneous discrete choice models, we estimate each store’s choice of pricing strategy as a static discrete game of incomplete information. In contrast to the predictions of the theoretical literature, we find strong evidence that firms cluster by strategy by choosing actions that agree with those of its rivals. We also find a significant impact of...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. Key features: ● Thoroughly revised and updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods Thoroughly class-tested in leading finance schools Chris Brooks is Professor of Finance...
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...our model matches the Argentinean economy over period 1993Q1-2001Q4 quite well. We show that our model can match high default frequency, high debt/output ratio and other cyclical features, such as countercyclical interest rate and trade balance in emerging countries. Moreover, with asymmetric shocks we are able to match high sovereign spread level and low spread volatility simultaneously in one model, which is till now not well solved. As another contribution of our paper, we propose a simulation-based approach to approximate transition function of output shocks between finite states, which is an indispensable step in discrete state dynamic programming. Comparing to Tauchen’s method, our approach is very flexible in transforming various econometric models to finite state transition function, so that our approach can be widely used in simulating different kinds of discrete state shocks. JEL Classification: E44, F32, F34 Keywords: Sovereign Default, Asymmetric Shocks, Transition Function, Long-term Bonds 1 Corresponding authors: Junjun Zhu, Ph.D candidate at School of Economics, Fudan University, No. 200 Guoquan Road, Shanghai 200433, China. Shiyu Xie, professor at School of Economics, Fudan University. The authors would like to thank the financial support of Innovation Fund for Graduate Students in Fudan University and Shanghai Leading Academic Discipline Project (No. B101). 1 1 Introduction Sovereign default risk is intensively studied in academic research and policy analysis...
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...CHRIST UNIVERSITY Mid SEMESTER EXAMINATION JAN 2014 ( II Sem UG and VIII BHM) : Time: 9:30 to 11:30am Day & Date | 16/01/2014Thursday | 17/01/2014Friday | 18/01/2014Saturday | 20/01/2014Monday | 21/01/2014Tuesday | 22/01/2014Wednesday | II Sem -B.A Programmes HEPEPS | English | Languages/Ad. English | | Political Science | Principles of Macro Economics | Contemporary IndiaSociology | PSEngPSEcoJPEng | English | Languages/Ad .English | | BasicPsychologicalProcesses -II | Principles of Macro Economics British Literature | Foundations of SociologyJournalism | CEP | English | Languages/Ad .English | | BasicPsychologicalProcesses -II | British Literature | Software applicationFor print media & the web | TCE(Theatre Studies) | | | | Introduction toMusic & Dance –II | | | PEP | English | Languages/Add.English | | Basic PsychologicalProcess –II | British Literature | Dynamics of DanceMusic & Theatre | II Sem -B.Sc Programmes CME | English-- | 9:30 to 11:30 amLang/Ad .English | | Computer Science Data Structures & operating system | Electronics | Differential Calculus | | | 2:30 to 4:30 pmIntegral Calculus | | | | | EMSCMS | English | 9:30 to 11:30 amLang/Ad .English | Statistics ( 9:30 to 11:30 am)(Examination will be held in separate room for Stats; check the notice board) | Computer ScienceOperating...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. Key features: ● Thoroughly revised and updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods Thoroughly class-tested in leading finance schools Chris Brooks is Professor of Finance at the ICMA Centre, University...
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