Marx's oeuvre is vast yet with key elements to an evolving social theory, even including state conspiracies. Deep confrontation with Ricardian economics is an expression, including with accumulation of capital. Luxemburg was the most significant contributor to Marxism, post-Marx.
Published in 1997. The aim of this book is to explore urban modelling traditions, identify key limitations and contributions and to develop a more general model within a discrete choice framework. The scope of the effort is on household choices regarding residential location, workplace and housing tenure. It is the first systematic effort to analyze the structure and sequence of the choices made by households regarding residential location and workplace. The implications for urban theory, model development and policy analysis are substantial.
Marx's oeuvre is vast yet with key elements to an evolving social theory, even including state conspiracies. Deep confrontation with Ricardian economics is an expression, including with accumulation of capital. Luxemburg was the most significant contributor to Marxism, post-Marx.
First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series. Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
In Securities Regulation Reassessed, Paul Mahoney shows that policy responses to financial crises are broadly similar across place and time: political actors, hoping to avoid blame for a financial crisis, create a narrative of market failure, arguing that misbehavior by securities market participants, rather than prior policy errors, is the primary cause of the crisis. Politically obliged regulators craft reforms that purport to solve problems which are either non-existent or only tangentially related to the crisis; yet they increase the complexity and expense of compliance, resulting in consolidation and concentration of market share in the hands of already leading financial firms. Securities Regulation Reassessed illustrates these points primarily but not exclusively with evidence from the New Deal-era securities reforms in the United States. Against the conventional wisdom that regards the New Deal reforms as successful, Mahoney provides substantial countervailing evidence, showing instead that Congress’s diagnoses were systematically inaccurate and its remedies reduced competition in the securities industry. Looking farther into history, the work treats several key episodes prior to the New Deal, including the English financial crises of 1697 and 1720 and the "blue sky” era of the 1910s and 1920s in the United States. Finally, Mahoney considers the Sarbanes-Oxley Act of 2002 and the Dodd-Frank Act of 2010 from the same analytical perspective. Mahoney finds a predictable pattern for efforts at securities reform: they require huge effort to enact, and yield little objectively measurable payoff and some objectively measurable harm.
This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. The new framework allows the domain of item response models to be co-ordinated and broadened to emphasize their explanatory uses beyond their standard descriptive uses. The basic explanatory principle is that item responses can be modeled as a function of predictors of various kinds. The predictors can be (a) characteristics of items, of persons, and of combinations of persons and items; (b) observed or latent (of either items or persons); and they can be (c) latent continuous or latent categorical. In this way a broad range of models is generated, including a wide range of extant item response models as well as some new ones. Within this range, models with explanatory predictors are given special attention in this book, but we also discuss descriptive models. Note that the term "item responses" does not just refer to the traditional "test data," but are broadly conceived as categorical data from a repeated observations design. Hence, data from studies with repeated observations experimental designs, or with longitudinal designs, may also be modelled. The book starts with a four-chapter section containing an introduction to the framework. The remaining chapters describe models for ordered-category data, multilevel models, models for differential item functioning, multidimensional models, models for local item dependency, and mixture models. It also includes a chapter on the statistical background and one on useful software. In order to make the task easier for the reader, a unified approach to notation and model description is followed throughout the chapters, and a single data set is used in most examples to make it easier to see how the many models are related. For all major examples, computer commands from the SAS package are provided that can be used to estimate the results for each model. In addition, sample commands are provided for other major computer packages. Paul De Boeck is Professor of Psychology at K.U. Leuven (Belgium), and Mark Wilson is Professor of Education at UC Berkeley (USA). They are also co-editors (along with Pamela Moss) of a new journal entitled Measurement: Interdisciplinary Research and Perspectives. The chapter authors are members of a collaborative group of psychometricians and statisticians centered on K.U. Leuven and UC Berkeley.
In the years since 2007 the U.S. economy has endured a severe financial crisis, a Great Recession, and continuing heavy unemployment. These events have led to increasing discontent among many people contributing to a substantial vote for Bernie Sanders and the election of Donald Trump. Meanwhile, Europe has witnessed the rise of nationalist parties and Brexit. In the face of these problems and events, economics must change. Principles of Macroeconomics: Activist vs. Austerity Policies provides an antidote to the standard macro texts offering multiple points of view instead of one standard line, a fact-based focus on the causes and cures of instability in economics, and an examination of inequality in the United States. Readers are introduced to both the Classical view, which takes the conservative approach and argues for an austerity program to reduce the size of the government; and the Progressive view, which argues for government intervention to create a strong recovery. These ideas are applied to all the key macroeconomic topics including economic growth, business cycles, and monetary policy. Using the methodology of Wesley Mitchell and drawing on the work of Keynes, the authors also explore topics such as unemployment, the human cost of economic crashes, increasing inequality of income, and the history of capitalism. This second edition includes new material on the Obama recovery, the crisis in the Eurozone, the rise of populism, and the current state of healthcare, education, and environmental issues in America to bring the text fully up to date. It will be of great interest to undergraduate students and particularly those studying the economics of the United States.
This new volume explores two alternative economic theories - the classical theory and the marginalist or neoclassical theory- through a discussion between two eminent economists, Pierangelo Garegnani and Paul Samuelson. The key themes of the volume are the difference in approaches to the explanation of the distribution of income and relative prices, and therefore different approaches to all other economic problems, in particular capital accumulation and economic growth. The book discusses whether there is a 'classical' approach to the theory of value and distribution at the core of economic theory that is fundamentally different from the later marginalist or neoclassical theory. In the volume, the late Pierangelo Garegnani argues for the validity of Piero Sraffa's position on this issue, whilst the late noble laureate Paul Samuelson vehemently contests it. At a time of economic crisis, the future of the discipline is far from certain, and so it is extremely important to bring these debates back into the light, by reproducing them together for the first time. A comprehensive introduction by Heinz Kurz sets the debate in this context, and provides crucial background to the arguments.
The Measurement of Health and Health Status: Concepts, Methods and Applications from a Multidisciplinary Perspective presents a unifying perspective on how to select the best measurement framework for any situation. Serving as a one-stop shop that unifies material currently available in various locations, this book illuminates the intuition behind each method, explaining how each method has special purposes, what developments are occurring, and how new combinations among methods might be relevant to specific situations. It especially emphasizes the measurement of health and health states (quality-of-life), giving significant attention to newly developed methods. The book introduces technically complex, new methods for both introductory and technically-proficient readers. - Assumes that the best measure depends entirely on the situation - Covers preference-based methods, classical test theory, and item response theory - Features illustrations and animations drawn from diverse fields and disciplines
The purpose of this book is to examine how ideology operates--in the sense of influencing the conduct of inquiry--in the policy sciences, defined as economics, political science, and sociology. The author seeks to identify the main ideologies and show how each ideology produces a preference for certain problems, methods, and hypotheses; how it sensitizes scientists to certain phenomena and suggests certain interpretations of those phenomena; and how it closes off other phenomena and concepts from investigation and testing, or at least distorts that investigation. In this book, Diesing critically examines all the major schools of policy-related social thought from 1930 to 1975. He deals with Neoclassical Economics and its various applications, the Keynesians, the Systems Approach, the Schumpeter perspective, the Critical Intellectuals, the Pluralists, the J. K. Galbraith School, New Left Marxism, and the Ecological Paradigm of Schumacher and others. The world looks different if your perspective is that of a rational small businessman working in a society of hypothetical perfect competition, as opposed to that of a proletarian, looking up at your oppressors. Part One is descriptive and evaluative, considering each ideology in turn; Part Two considers the policy implications. "In 1982, Diesing published a remarkable book entitled Science and Ideology in the Policy Sciences. When I interviewed Diesing in Buffalo in the summer of 1984, he told me that to date, the publication had been reviewed in only two professional journals. I was astounded. Science & Ideology...was the best book I had read in a decade, and it related directly to all the policy sciences. The lack of professional response may partially reflect Diesing's disinterest in self-promotion, but beyond this is the 'community' problem. Scholars are recognized within disciplines, but there is only a tiny 'community of social science'. I consider this to be the most brilliant of Diesing's books. Like all of Diesing's works, it remains highly relevant today."--from the introduction by Richard Hartwig.
If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Several real-world examples are included in full detail. This book also explains the differences and similarities among the many generalizations of the logistic regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second edition describes many new features of PROC LOGISTIC, including conditional logistic regression, exact logistic regression, generalized logit models, ROC curves, the ODDSRATIO statement (for analyzing interactions), and the EFFECTPLOT statement (for graphing nonlinear effects). Also new is coverage of PROC SURVEYLOGISTIC (for complex samples), PROC GLIMMIX (for generalized linear mixed models), PROC QLIM (for selection models and heterogeneous logit models), and PROC MDC (for advanced discrete choice models). This book is part of the SAS Press program.
Neuroeconomics has emerged at the border of the social and natural sciences. This book argues that a meaningful interdisciplinary synthesis of the study of human and animal choice is not only desirable, but also well underway, and so it is time to develop formally a foundational approach for the field.
Provides an empirical investigation of foreign policy decision-making in the EU-15. The authors examine collective decision-making within national governments and in intergovernmental negotiations.
In one volume, Mounting Evidence provides the most important evidence accumulated over many years that calls into question the governments account of 9/11. Any citizen of conscience reading it will demand a new investigation. Mike Gravel, United States Senate, 1969-1981 Theres little doubt the tragic attacks on 9/11 soon became the defining events of our time, shaping much of what has followed. But even now, over a decade later, how well does the public actually understand them? Other researchers have written about key facets of 9/11-the fall of World Trade Center buildings, the air-defense failures, the backgrounds of the hijackers, or the role of the Saudi funders. This impressively researched volume, however, is the first comprehensive treatment of the many different angles. It connects the dots to reveal disturbing patterns. Years after many of us thought the Crime of the Century was solved, case closed, additional evidence demands a closer look. These findings, which Dr. Rea presents in a lively, accessible way, call out for a new investigation. In Mounting Evidence, Dr. Rea shows how, by understanding the shattering events of that dark day, Americans can end seemingly endless wars, take back personal liberties theyve lost, and restore their democracy.
A decade and a half ago John Bellamy Foster and Paul Burkett introduced a new, revolutionary understanding of the ecological foundations of Marx’s thought, demonstrating that Marx’s concepts of the universal metabolism of nature, social metabolism, and metabolic rift prefigured much of modern systems ecology. Ecological relations were shown to be central to Marx’s critique of capitalism, including his value analysis. Now in Marx and the Earth Foster and Burkett expand on this analysis in the process of responding to recent ecosocialist criticisms of Marx. The result is a full-fledged anti-critique—pointing to the crucial roles that dialectics, open-system thermodynamics, intrinsic value, and aesthetic understandings played in the original Marxian critique, holding out the possibility of a new red-green synthesis.
This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. lly-informed="" audience,="" and="" can="" also="" easily="" serve="" as="" textbook="" in="" graduate="" course="" departments="" such="" statistics,="" psychology,="" or="" biology.="" particular,="" the="" audience="" for="" book="" is="" teachers="" of="" practicing="" statisticians,="" applied="" quantitative="" students="" fields="" medical="" research,="" epidemiology,="" public="" health,="" biology.
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.
This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted.
Research report, self help associations, developing countries - traditional groups, rural cooperatives, credit cooperatives, farmers associations, case studies, freedom, efficiency, rural mobilization, popular participation, acceptance of development aid and private aid, role of Germany, Federal Republic, project selection, etc. Bibliography, diagram, tables.
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