The purpose of this book is to introduce, discuss, illustrate, and evaluate the colorful palette of analytical techniques that can be applied to the analysis of household survey data, with an emphasis on the innovations of the past decade or so. Most of the chapters begin by introducing a methodological or policy problem, to motivate the subsequent discussion of relevant methods. They then summarize the relevant techniques, and draw on examples – many of them from the authors’ own work – and aim to convey a sense of the potential, but also the strengths and weaknesses, of those techniques. This book is meant for graduate students in statistics, economics, policy analysis, and social sciences, especially, but certainly not exclusively, those interested in the challenges of economic development in the Third World. Additionally, the book will be useful to academics and practitioners who work closely with survey data. This is a book that can serve as a reference work, to be taken down from the shelf and perused from time to time.
The purpose of this book is to introduce, discuss, illustrate, and evaluate the colorful palette of analytical techniques that can be applied to the analysis of household survey data, with an emphasis on the innovations of the past decade or so. Most of the chapters begin by introducing a methodological or policy problem, to motivate the subsequent discussion of relevant methods. They then summarize the relevant techniques, and draw on examples – many of them from the authors’ own work – and aim to convey a sense of the potential, but also the strengths and weaknesses, of those techniques. This book is meant for graduate students in statistics, economics, policy analysis, and social sciences, especially, but certainly not exclusively, those interested in the challenges of economic development in the Third World. Additionally, the book will be useful to academics and practitioners who work closely with survey data. This is a book that can serve as a reference work, to be taken down from the shelf and perused from time to time.
Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application, this topic opens a lively discussion on the current developments in big data from a data science perspective. This book is geared to applied researchers and practitioners and is meant to be practical. The reader will take a hands-on approach, running text mining and social network analyses with software packages covered in the book. These include R, SAS, Knime, Pajek and Gephi. The nitty-gritty of how to build datasets needed for the various analyses will be discussed as well. This includes how to extract suitable Twitter data and create a co-starring network from the IMDB database given memory constraints. The authors also guide the reader through an analysis of movie attendance data via a realistic dataset from France.
This is the first book on a new policy approach that has been widely adopted in Europe and beyond. It analyses the concept of smart specialisation and discuss the need for smart specialisation strategies, explains why the approach is new and different from more standard policy processes and explores what are the conditions for successful implementation. Smart Specialisation: Opportunities and Challenges for Regional Innovation Policy describes the origin of the concept, explains when a smart specialisation policy is necessary, provides a detailed analysis of the design principles of the policy and discuss the pertinence of this approach according to regional development levels. Finally the book discuss the practical implementation phase of the process – based on the first feedback acquired from certain regions engaged in the preparation of their smart specialisation strategy. The book is original in that it provides the first full analysis of smart specialisation strategies both at theoretical and practical levels. It has been written at the critical period of the implementation of smart specialisation strategies in every region in Europe. The fact that the EU has adopted smart specialisation as a mandatory principle for every region and member states will make this book well received by and very useful for: i) policy makers in regional and national administrations in Europe, ii) policy makers in other parts of the world who are in charge of regional policy and have heard about the concept, iii) consultants, analysts and experts who are active on the "markets for smart specialisation diagnosis and expertise", iv) scholars, researchers and graduate students working in the field of regional studies, technology policy and geography of innovation.
Are the household characteristics that are good for transition to a more diversified market-oriented development process in Vietnam also important for reducing poverty? Or are there tradeoffs? The determinants of both poverty incidence and participation in rural off-farm activities are modeled as functions of household and community characteristics using comprehensive national household surveys for 1993 and 1998. Despite some common causative factors, such as education and region of residence, the processes determining poverty and inhibiting diversification are clearly not the same. Participation in the emerging rural nonfarm market economy will be the route out of poverty for some, but certainly not all, of Vietnam's poor. This paper--a product of Public Services, Development Research Group--is part of a larger effort in the group to understand how to reduce poverty.
Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application, this topic opens a lively discussion on the current developments in big data from a data science perspective. This book is geared to applied researchers and practitioners and is meant to be practical. The reader will take a hands-on approach, running text mining and social network analyses with software packages covered in the book. These include R, SAS, Knime, Pajek and Gephi. The nitty-gritty of how to build datasets needed for the various analyses will be discussed as well. This includes how to extract suitable Twitter data and create a co-starring network from the IMDB database given memory constraints. The authors also guide the reader through an analysis of movie attendance data via a realistic dataset from France.
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