The State After Statism
| Author | : Jonah D. Levy |
| Publisher | : Harvard University Press |
| Total Pages | : 494 |
| Release | : 2006-10 |
| Genre | : Business & Economics |
| ISBN | : 9780674022768 |
The state also rises : the roots of contemporary state activism / Jonah D. Levy -- The transformation of the British state : from club government to state-administered high modernism / Michael Moran -- The forgotten center : state activism and corporatist adjustment in Holland and Germany / Anton C. Hemerijck and Mark I. Vail -- Exiting Etatisme? new directions in state policy in France and Japan / Jonah D. Levy, Mari Miura, and Gene Park -- The state and the reconstruction of industrial relations institutions after fordism : Britain and France compared / Chris Howell -- Building finance capitalism : the regulatory politics of corporate governance reform in the United States and Germany / John W. Cioffi -- From maternalism to "employment for all" : state politics to promote women's employment across the affluent democracies / Ann Shola Orloff -- The state in the digital economy / John Zysman and Abraham Newman -- Building global service markets : economic structure and state capacity / Peter Cowhey and John Richards -- The transformation of European trading states / Richard H. Steinberg -- The State and statism : from market direction to market support / Jonah D. Levy.
The Oxford Handbook of Transformations of the State
| Author | : Stephan Leibfried |
| Publisher | : OUP Oxford |
| Total Pages | : 928 |
| Release | : 2015-06-11 |
| Genre | : Political Science |
| ISBN | : 0191643254 |
This Handbook offers a comprehensive treatment of transformations of the state, from its origins in different parts of the world and different time periods to its transformations since World War II in the advanced industrial countries, the post-Communist world, and the Global South. Leading experts in their fields, from Europe and North America, discuss conceptualizations and theories of the state and the transformations of the state in its engagement with a changing international environment as well as with changing domestic economic, social, and political challenges. The Handbook covers different types of states in the Global South (from failed to predatory, rentier and developmental), in different kinds of advanced industrial political economies (corporatist, statist, liberal, import substitution industrialization), and in various post-Communist countries (Russia, China, successor states to the USSR, and Eastern Europe). It also addresses crucial challenges in different areas of state intervention, from security to financial regulation, migration, welfare states, democratization and quality of democracy, ethno-nationalism, and human development. The volume makes a compelling case that far from losing its relevance in the face of globalization, the state remains a key actor in all areas of social and economic life, changing its areas of intervention, its modes of operation, and its structures in adaption to new international and domestic challenges.
Back on the Road to Serfdom
| Author | : Thomas E Woods |
| Publisher | : Open Road Media |
| Total Pages | : 288 |
| Release | : 2014-03-11 |
| Genre | : Business & Economics |
| ISBN | : 1480492973 |
Leviathan is back The threat of statism has reemerged in force. The federal government has radically expanded its power—through bailouts, “stimulus” packages, a trillion-dollar health-care plan, “jobs bills,” massive expansions of the money supply, and much more. But such interventionism did not suddenly materialize with the recent economic collapse. The dangerous trends of government growth, debt increases, encroachments on individual liberty, and attacks on the free market began years earlier and continued no matter which political party was in power. This shift toward statism “will not end happily,” declares bestselling author Thomas E. Woods. In Back on the Road to Serfdom, Woods brings together ten top scholars to examine why the size and scope of government has exploded, and to reveal the devastating consequences of succumbing to the statist temptation. Spanning history, economics, politics, religion, and the arts, Back on the Road to Serfdom shows: · How government interventionism endangers America’s prosperity and the vital culture of entrepreneurship · The roots of statism: from the seminal conflict between Thomas Jefferson and Alexander Hamilton to the vast expansion of federal power in the twentieth century · Why the standard explanation for the recent economic crisis is so terribly wrong—and why the government’s frenzied responses to the downturn only exacerbate the problems · Why the European welfare state is not a model to aspire to but a disaster to be avoided · How an intrusive state not only harms the economy but also imperils individual liberty and undermines the role of civil society · The fatal flaws in the now-common arguments against free markets and free trade · How big business is helping government pave the road to serfdom · Why the Judeo-Christian tradition does not demand support for the welfare state, but in fact values the free market · How the arrogance of government power extends even to the cultural realm—and how central planning is just as inefficient and destructive there It’s been more than sixty-five years since F. A. Hayek published his seminal work The Road to Serfdom. Now this impeccably timed book provides another desperately needed warning about—and corrective to—the dangers of statism.
An Introduction to Statistical Learning
| Author | : Gareth James |
| Publisher | : Springer Nature |
| Total Pages | : 617 |
| Release | : 2023-08-01 |
| Genre | : Mathematics |
| ISBN | : 3031387473 |
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Statistics for People Who (Think They) Hate Statistics
| Author | : Neil J. Salkind |
| Publisher | : SAGE Publications |
| Total Pages | : 620 |
| Release | : 2016-01-29 |
| Genre | : Social Science |
| ISBN | : 1483374106 |
Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.
The Rise and Demise of German Statism
| Author | : Gregg Owen Kvistad |
| Publisher | : Campus Verlag |
| Total Pages | : 280 |
| Release | : 1999 |
| Genre | : History |
| ISBN | : 9781571811615 |
German statism as a political ideology has been the subject of many historical studies. Whereas most of these focus on theoretical texts, cultural works, and vague "traditions", this study understands German statism as a functioning logic of political membership, a logic that has helped to determine who is "in" and who is "out" with regard to the German political community. Tracing statism from the early 19th century through German unification and beyond in the 1990s, the author argues that, with its central concern for a political loyalty that is vetted "from above," it historically served the function of stabilizing the political order and containing democratic mobilization. Beginning in the 1960s, however, a mobilized German democratic consciousness "from below" gradually rejected statism as anachronistic for informing political and policy debate, and German political institutions began to respond to kind.
The Elements of Statistical Learning
| Author | : Trevor Hastie |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 545 |
| Release | : 2013-11-11 |
| Genre | : Mathematics |
| ISBN | : 0387216065 |
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
