haradhan mohajan jamal islam and pahlaj moolio optimization and social welfare in economics

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Karen Sowers M. Connecting Social Welfare Policy to Fields of Practice

Invaluable guidance and advice for creating positive change in social policy Edited by a team of renowned experts, Connecting Social Welfare Policy to Fields of Practice features contributions from leaders in this field providing a variety of perspectives on different topics. This visionary guide equips social workers to proactively engage in policy practice to influence specific policies. Designed as a social welfare policy practice text for undergraduate and graduate students in social work programs, this book meets the Council on Social Work Education's (CSWE) Educational Policy and Accreditation Standards (EPAS). Each chapter begins with an overarching question and «what if» scenarios, and ends with a set of suggested key terms, online resources, and discussion questions. Connecting Social Welfare Policy to Fields of Practice addresses specific populations within a wide variety of practice arenas, including: Social welfare policy and politics Aging in the United States Public mental health policy in the United States Disability policy development Health-care policy Urban housing policy Child welfare policy Redefining the welfare state in a global economy Global in context, Connecting Social Welfare Policy to Fields of Practice encourages those in the social work profession to become directly engaged with individuals, families, groups, and communities in the crafting of impartial public policies for marginalized members of society.

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Karen Sowers M. Social Work and Social Policy. Advancing the Principles of Economic and Social Justice

A comprehensive overview of domestic and global social welfare policy Written by a team of renowned social policy experts sharing their unique perspectives on global and U.S. social welfare policy issues, Social Work and Social Policy helps social workers consider key issues that face policymakers, elected officials, and agency administrators in order to develop policies that are both fair and just. Designed as a foundational social welfare policy text, this important book meets the Council on Social Work Education's (CSWE) Educational Policy and Accreditation Standards (EPAS). Encouraging readers' critical thinking on various issues, each chapter begins with an overarching question and «what if» scenarios, and ends with a set of suggested key terms, online resources, and discussion questions. Recognizing that policy work requires practitioners to be as fully versed as possible with the issue at hand, Social Work and Social Policy thoroughly explores: Social welfare policy as a form of social justice The evolution of the American welfare state Human security and the welfare of societies Social policy from a global perspective Challenges for social policies in Asia Welfare reform and the need for social empathy The U.S. Patriot Act and its implications for the social work profession Human rights and emerging social media Compelling and broad in scope, Social Work and Social Policy is an indispensable text for students and a valuable resource for practitioners concerned with creating social policy and governmental action guided by justice for all.

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Cam Donaldson Evidence-based Decisions and Economics. Health Care, Social Welfare, Education and Criminal Justice

The need for evidence-based decisions that take account of both effectiveness and economics is greater now than ever. Using case studies and illustrative examples throughout the authors describe how the activities and outputs of evidence synthesis, systematic review, economic analysis and decision-making interact within and across different spheres of health and social policy and practice. Expanding on the first edition the book now covers approaches to evidence synthesis that combine economics and systematic review methods in the applied fields of social welfare, education and criminal justice, as well as health care. Written by economists and health services researchers closely involved in developing evidence-based policy and practice it showcases current state-of-the-art methodology and will be an invaluable read for all policy-makers and practitioners using evidence to inform decisions, analysts conducting research to support decisions and students discovering the need for evidence-based decisions to incorporate economic perspectives and evidence.

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Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R

Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

6658.7 рублей

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John Nash C. Nonlinear Parameter Optimization Using R Tools

Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non–linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: Provides a comprehensive treatment of optimization techniques Examines optimization problems that arise in statistics and how to solve them using R Enables researchers and practitioners to solve parameter determination problems Presents traditional methods as well as recent developments in R Is supported by an accompanying website featuring R code, examples and datasets Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.

6223.33 рублей

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Momoh James Economic Market Design and Planning for Electric Power Systems

Discover cutting-edge developments in electric power systems Stemming from cutting-edge research and education activities in the field of electric power systems, this book brings together the knowledge of a panel of experts in economics, the social sciences, and electric power systems. In ten concise and comprehensible chapters, the book provides unprecedented coverage of the operation, control, planning, and design of electric power systems. It also discusses: A framework for interdisciplinary research and education Modeling electricity markets Alternative economic criteria and proactive planning for transmission investment in deregulated power systems Payment cost minimization with demand bids and partial capacity cost compensations for day-ahead electricity auctions Dynamic oligopolistic competition in an electric power network and impacts of infrastructure disruptions Reliability in monopolies and duopolies Building an efficient, reliable, and sustainable power system Risk-based power system planning integrating social and economic direct and indirect costs Models for transmission expansion planning based on reconfiguration capacitor switching Next-generation optimization for electric power systems Most chapters end with a bibliography, closing remarks, conclusions, or future work. Economic Market Design and Planning for Electric Power Systems is an indispensable reference for policy-makers, executives and engineers of electric utilities, university faculty members, and graduate students and researchers in control theory, electric power systems, economics, and the social sciences.

12261.12 рублей

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Ric Shreves Social Media Optimization For Dummies

Optimize, optimize, optimize to get the most out of your company's social media presence As it turns out, social media is good for a lot more than funny cat videos, memes, and sharing what you're eating for lunch with the world. As the social media sphere continues to grow and be redefined, it's more important than ever to arm yourself with the latest information on how you can use it to drive traffic to your website, raise awareness of your brand, and promote your products or services. If you're a marketer who has asked yourself how you can possibly stay afloat in these newly chartered and oft overcrowded waters, Social Media Optimization For Dummies serves as your roadmap to smart marketing in the digital age. So, what is Social Media Optimization (SMO), exactly? Well, it's comprised of two closely related practices. First, SMO refers to a set of techniques in which social media is used to drive traffic to a website and create an interest in a product or service. Second, SMO concerns the optimization of the social media presence itself with the goal of building followers, increasing engagement, and, again, generating interest in a product or service. Each of these parts supports the other and, when the channels are managed efficiently, enhances the other's effectiveness. In this plain English, easy-to-follow guide, you'll quickly discover how to apply SMO practices to your marketing plan to accomplish those goals. Integrate social media into your website Drive traffic to your website Build followers and generate a buzz Increase engagement with customers From integrating social media into your website to building your social media presence to everything in between, Social Media Optimization For Dummies points your business toward success.

1721.95 рублей

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Xincheng Zhang LTE Optimization Engineering Handbook

A comprehensive resource containing the operating principles and key insights of LTE networks performance optimization LTE Optimization Engineering Handbook is a comprehensive reference that describes the most current technologies and optimization principles for LTE networks. The text offers an introduction to the basics of LTE architecture, services and technologies and includes details on the key principles and methods of LTE optimization and its parameters. In addition, the author clarifies different optimization aspects such as wireless channel optimization, data optimization, CSFB, VoLTE, and video optimization. With the ubiquitous usage and increased development of mobile networks and smart devices, LTE is the 4G network that will be the only mainstream technology in the current mobile communication system and in the near future. Designed for use by researchers, engineers and operators working in the field of mobile communications and written by a noted engineer and experienced researcher, the LTE Optimization Engineering Handbook provides an essential guide that: Discusses the latest optimization engineering technologies of LTE networks and explores their implementation Features the latest and most industrially relevant applications, such as VoLTE and HetNets Includes a wealth of detailed scenarios and optimization real-world case studies Professionals in the field will find the LTE Optimization Engineering Handbook to be their go-to reference that includes a thorough and complete examination of LTE networks, their operating principles, and the most current information to performance optimization.

11622.14 рублей

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Lee Odden Optimize. How to Attract and Engage More Customers by Integrating SEO, Social Media, and Content Marketing

Attract, engage, and inspire your customers with an «Optimize and Socialize» content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical planning and creative content marketing tactics in this book that have been proven to increase online performance across marketing, public relations, and customer service. Learn to incorporate essential content optimization and social media engagement principles thereby increasing their ability to acquire and engage relevant customers online. Optimize provides insights from Lee Odden, one of the leading authorities on Content and Online Marketing. This book explains how to: Create a blueprint for integrated search, social media and content marketing strategy Determine which creative tactics will provide the best results for your company Implement search and social optimization holistically in the organization Measure the business value of optimized and socialized content marketing Develop guidelines, processes and training to scale online marketing success Optimize offers a tested approach for a customer-centric and adaptive online marketing strategy that incorporates the best of content, social media marketing, and search engine optimization tactics.

1591.8 рублей

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Daniel Birke Social Networks and their Economics. Influencing Consumer Choice

Reveals how consumer choice can be better understood and influenced using social networks analysis (SNA) Intuitively, we all appreciate that we can be influenced by our friends and peers in what we do, how we behave, and what products we consume. Until recently, it has been difficult to measure this interdependence, mainly because data on social networks was difficult to collect and not readily available. More and more companies such as mobile phone carriers or social networking sites such as Facebook are collecting such data electronically. Daniel Birke illustrates in compelling real-world case studies how companies use social networks for marketing purposes and which statistical analysis and unique datasets can be used. Social Networks and their Economics: Explores network effects and the analysis of social networks, whilst providing an overview of the state-of-the art research. Looks at consumption interdependences between friends and peers: Who is influencing who through which channels and to what degree? Presents statistical methods and research techniques that can be used in the analysis of social networks. Examines SNA and its practical application for marketing purposes. Features a supporting website www.wiley.com/go/social_networks featuring SNA visualizations and business case studies. Aimed at post-graduate students involved in social network analysis, industrial economics, innovation and consumer marketing, this book offers a unique perspective from both an academic and practitioner point of view on how social networks can help understand and influence consumer behaviour. This book will prove to be a useful resource for marketing practitioners from companies where social network data is available and for consulting companies who advise businesses on marketing and social media related issues.

6973.51 рублей

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Paolo Brandimarte Handbook in Monte Carlo Simulation. Applications in Financial Engineering, Risk Management, and Economics

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

11877.96 рублей

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Robert Hubrecht C. The Welfare of Animals Used in Research. Practice and Ethics

The Welfare of Animals used in Research: Practice and Ethics gives a complete and balanced overview of the issues surrounding the use of animals in scientific research. The focus of the book is on the animal welfare implications and ethics of animals in research. It covers the topics with sufficient depth to show a real understanding of varied and complex subjects, but conveys the information in a beautifully reader-friendly manner. Key features: Provides those who are not working in the field with a reasonable understanding as to why and how animals are used in research. Gives an introduction to the ethical issues involved in using animals, and explains how these are addressed in practice. Details the advances in animal welfare and the use and development of the 3Rs principles, and how these have become fundamental to the everyday use and regulation of animals used in research. The focus is on principles making it suitable for an international audience. This book is a useful introduction to the issues involved in laboratory animal welfare for those who intend to work in research involving animals. It is also useful to prospective animal care staff and animal welfare scientists, and to those involved in ethical review. It will help inform debate amongst those who are not involved in experimentation but who are interested in the issues. Published as a part of the prestigious Wiley-Blackwell – UFAW Animal Welfare series. UFAW, founded 1926, is an internationally recognised, independent, scientific and educational animal welfare charity. For full details of all titles available in the series, please visit the UFAW Animal Welfare series website.

4422.77 рублей

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Bernhard Pfaff Financial Risk Modelling and Portfolio Optimization with R

Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Enables the reader to replicate the results in the book using R code. Is accompanied by a supporting website featuring examples and case studies in R. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

8195.79 рублей

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Morris Altman Behavioral Economics For Dummies

A guide to the study of how and why you really make financial decisions While classical economics is based on the notion that people act with rational self-interest, many key money decisions—like splurging on an expensive watch—can seem far from rational. The field of behavioral economics sheds light on the many subtle and not-so-subtle factors that contribute to our financial and purchasing choices. And in Behavioral Economics For Dummies, readers will learn how social and psychological factors, such as instinctual behavior patterns, social pressure, and mental framing, can dramatically affect our day-to-day decision-making and financial choices. Based on psychology and rooted in real-world examples, Behavioral Economics For Dummies offers the sort of insights designed to help investors avoid impulsive mistakes, companies understand the mechanisms behind individual choices, and governments and nonprofits make public decisions. A friendly introduction to the study of how and why people really make financial decisions The author is a professor of behavioral and institutional economics at Victoria University An essential component to improving your financial decision-making (and even to understanding current events), Behavioral Economics For Dummies is important for just about anyone who has a bank account and is interested in why—and when—they spend money.

1402.1 рублей

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Xin-She Yang Optimization Techniques and Applications with Examples

A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms. The author—a noted expert in the field—covers a wide range of topics including mathematical foundations, optimization formulation, optimality conditions, algorithmic complexity, linear programming, convex optimization, and integer programming. In addition, the book discusses artificial neural network, clustering and classifications, constraint-handling, queueing theory, support vector machine and multi-objective optimization, evolutionary computation, nature-inspired algorithms and many other topics. Designed as a practical resource, all topics are explained in detail with step-by-step examples to show how each method works. The book’s exercises test the acquired knowledge that can be potentially applied to real problem solving. By taking an informal approach to the subject, the author helps readers to rapidly acquire the basic knowledge in optimization, operational research, and applied data mining. This important resource: Offers an accessible and state-of-the-art introduction to the main optimization techniques Contains both traditional optimization techniques and the most current algorithms and swarm intelligence-based techniques Presents a balance of theory, algorithms, and implementation Includes more than 100 worked examples with step-by-step explanations Written for upper undergraduates and graduates in a standard course on optimization, operations research and data mining, Optimization Techniques and Applications with Examples is a highly accessible guide to understanding the fundamentals of all the commonly used techniques in optimization.

8301.8 рублей

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Xin-She Yang Bayesian Inference in the Social Sciences

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.

9672.91 рублей

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Stanislav Kolenikov Statistics in the Social Sciences. Current Methodological Developments

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.

7720.11 рублей

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Craig LeCroy W. Case Studies in Child, Adolescent, and Family Treatment

A detailed look at how to apply clinical theories to social work practice Thinking through real-life cases to make connections between theory and practice is a crucial element of social work education. Now in its Second Edition, Case Studies in Child, Adolescent, and Family Treatment contains a wide range of cases described in rich detail by practitioners, scholars, and researchers. Chapters represent contexts and approaches across the social work spectrum, so students will get to glimpse into the clinical experience of a full range of professionals. With chapter overviews, case sketches, study questions, and references for further study, this book makes an invaluable reference for social work students. Learning by example is the best way to develop the skill of clinical reasoning. Editors Craig W. LeCroy and Elizabeth K. Anthony—two distinguished scholars in the field of social work—have brought together an impressive roster of contributors who add their unique voices and clinical perspectives into their insightful case descriptions. Organized into five thematic sections, Case Studies in Child, Adolescent, and Family Treatment, Second Edition covers the most important areas in social work practice, including: Child welfare and adoption Individual and group treatment School and community settings Family treatment and parent training With the updates in the Second Edition, students will learn the most current lessons in social work practice from a diverse range of scholars, researchers, and practitioners in the field. In contexts ranging from child welfare to homelessness, this book provides the critical thinking skills students need to understand how social work theory applies in clinical environments.

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Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.

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