This book addresses central issues in evolutionary and Schumpeterian accounts of industrial competition, learning, and innovation. It contains a collection of twelve papers which are oriented toward exploring methodological issues in evolutionary and related scholarship. Reflecting the diversity of work in evolutionary scholarship, a range of methodologies are employed in the papers, including simulation, experiments, and econometric analysis. Some of the papers use well established models to takle new questions and problems. Others introduce entirely new approaches, which the authors indicate are still in a state of infancy and await further development. The collection attempts to raise even more interest in evolutionary economics, to provide some suggestions for future research directions, and to initiate a lively discussion of the issues raised.

This report is a partial result of the China's Quarterly Macroeconomic Model (CQMM), a project developed and maintained by the Center for Macroeconomic Research (CMR) at Xiamen University. The CMR, one of the Key Research Institutes of Humanities and Social Sciences sponsored by the Ministry of Education of China, has been focusing on China's economic forecast and macroeconomic policy analysis, and it started to develop the CQMM for purpose of short-term forecasting, policy analysis, and simulation in 2005. Based on the CQMM, the CMR and its partners hold press conferences to release forecasts for China's major macroeconomic variables. Since July, 2006, twenty-six quarterly reports on China's macroeconomic outlook have been presented and thirteen annual reports have been published. This report, the twenty-sixth quarterly report, has been presented at the Forum on China's Macroeconomic Outlook and Press Conference of CQMM on February 26, 2019. This conference was jointly held at Beijing by the CMR and the Economic Information Daily at Xinhua News Agency

Volume 36 of Advances in Econometrics recognizes Aman Ullah's significant contributions in many areas of econometrics and celebrates his long productive career. The volume features original papers on the theory and practice of econometrics that is related to the work of Aman Ullah. Topics include nonparametric/semiparametric econometrics; finite sample econometrics; shrinkage methods; information/entropy econometrics; model specification testing; robust inference; panel/spatial models. Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research.

This book introduces a new approach in the field of macroeconomic inventory studies: the use of multivariate statistics to evaluate long-term characteristics of inventory investments in developed countries. By analyzing a 44-year period series of annual inventory change in percentage of GDP in a set of OECD countries, disclosing their relationship to growth, industry structure and alternative uses of GDP (fixed capital investments, foreign trade and consumption), it fills a gap in the economic literature. It is generally accepted that inventories play an important role in all levels of the economy. However, while there is extensive literature on micro- (and even item-) level inventory problems, macroeconomic inventory studies are scarce. Both the long-term processes of inventory formation and their correlation with other macroeconomic factors provide interesting conclusions about economic changes and policies in our immediate past, and present important insights for the future.

This book is a comprehensive introduction of the reader into the simulation and modelling techniques and their application in the management of organisations. The book is rooted in the thorough understanding of systems theory applied to organisations and focuses on how this theory can apply to econometric models used in the management of organisations. The econometric models in this book employ linear and dynamic programming, graph theory, queuing theory, game theory, etc. and are presented and analysed in various fields of application, such as investment management, stock management, strategic decision making, management of production costs and the lifecycle costs of quality and non-quality products, production quality Management, etc.

This volume collects selected, peer-reviewed contributions from the 2nd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Cadiz (Spain) between June 11-16 2014, and sponsored by the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics and Universidad Carlos III de Madrid. The 15 articles are a representative sample of the 336 contributed papers presented at the conference. They cover topics such as high-dimensional data modelling, inference for stochastic processes and for dependent data, nonparametric and goodness-of-fit testing, nonparametric curve estimation, object-oriented data analysis, and semiparametric inference. The aim of the ISNPS 2014 conference was to bring together recent advances and trends in several areas of nonparametric statistics in order to facilitate the exchange of research ideas, promote collaboration among researchers from around the globe, and contribute to the further development of the field.

This book fills an important gap in studies on D. D. Kosambi. For the first time, the mathematical work of Kosambi is described, collected and presented in a manner that is accessible to non-mathematicians as well. A number of his papers that are difficult to obtain in these areas are made available here. In addition, there are essays by Kosambi that have not been published earlier as well as some of his lesser known works. Each of the twenty four papers is prefaced by a commentary on the significance of the work, and where possible, extracts from technical reviews by other mathematicians.

This book deals with microeconomic theory as it concerns general economic equilibrium and the implications for prices and resource allocation.
Students with a background in mathematics will find in this volume a broad, comprehensible overview of the ideas which have contributed to our understanding of general equilibrium.

This book is devoted to the analysis of causal inference which is one of the most difficult tasks in data analysis: when two phenomena are observed to be related, it is often difficult to decide whether one of them causally influences the other one, or whether these two phenomena have a common cause. This analysis is the main focus of this volume. To get a good understanding of the causal inference, it is important to have models of economic phenomena which are as accurate as possible. Because of this need, this volume also contains papers that use non-traditional economic models, such as fuzzy models and models obtained by using neural networks and data mining techniques. It also contains papers that apply different econometric models to analyze real-life economic dependencies.

This book explores the role of national fiscal policies in a selected group of Euro-area countries under the European Economic and Monetary Union (EMU). In particular, the authors characterize the response of output to fiscal consolidations and expansions in the small Euro-area open economies affected by high public and private debt. It is shown that the macroeconomic outcome of fiscal shocks is strongly related to debt levels. The Euro-area countries included in the investigation are Greece, Ireland, Italy, the Netherlands, Spain, and Portugal, over the sample period 1999-2016, i.e., the EMU period. The main econometric tools used in this research are structural vector autoregressive (VAR) models, including panel VAR models. The available literature relating to the subject is also fully reviewed. A further closely investigated topic is the potential spillover effects of German fiscal policies on the selected small Euro-area economies. Moreover, in the perspective of the evolution of the Euro Area towards a full Monetary and Fiscal Union, the authors study the effects of area-wide government spending shocks on aggregate output and other macroeconomic variables during the EMU period. The closing chapter of the book considers evidence on the consequences of austerity policies for European labour markets during recent years.

This book contributes to the debate on the decoupling of emerging economies from the advanced economies with a new, empirical investigation approach. Taking counterfactual experiments performed using a time-varying panel VAR model, the author argues that over the last thirty years, emerging economies have become less vulnerable to shocks spreading from advanced economies. This resilience to external shocks has changed in a non-progressive manner over time, with phases of greater resilience followed by others of lower resilience and vice versa. This research outlines its wave-like path and presents new results that contribute to the discussion.

Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades. Throughout his long and distinguished career, Canova's research has achieved both a prolific publication record and provided stellar research to the profession. His colleagues, co-authors and PhD students wish to express their deep gratitude to Fabio for his intellectual leadership and guidance, whilst showcasing the extensive advances in knowledge and theory made available by Canova for professionals in the field. Advances in Econometrics publishes original scholarly econometrics papers with the intention of expanding the use of developed and emerging econometric techniques by disseminating ideas on the theory and practice of econometrics throughout the empirical economic, business and social science literature. Annual volume themes, selected by the Series Editors, are their interpretation of important new methods and techniques emerging in economics, statistics and the social sciences.

Theory and application of a variety of mathematical techniques in economics are presented in this volume. Topics discussed include: martingale methods, stochastic processes, optimal stopping, the modeling of uncertainty using a Wiener process, Ito's Lemma as a tool of stochastic calculus, and basic facts about stochastic differential equations. The notion of stochastic ability and the methods of stochastic control are discussed, and their use in economic theory and finance is illustrated with numerous applications.
The applications covered include: futures, pricing, job search, stochastic capital theory, stochastic economic growth, the rational expectations hypothesis, a stochastic macroeconomic model, competitive firm under price uncertainty, the Black-Scholes option pricing theory, optimum consumption and portfolio rules, demand for index bonds, term structure of interest rates, the market risk adjustment in project valuation, demand for cash balances and an asset pricing model.

Globalization and information and communications technology (ICT) have played a pivotal role in revolutionizing value creation through the development of human capital formation. The constantly changing needs and structure of the labour market are primarily responsible for the conversion of a traditional economy relying fundamentally on the application of physical abilities to a knowledge-based economy relying on ideas, technologies and innovations. In this economy, knowledge has to be created, acquired, developed, transmitted, preserved and utilized for the improvement of individual and social welfare. Comparative Advantage in the Knowledge Economy: A National and Organizational Resource provides a comprehensive and insightful understanding of all the dimensions of a transition from a traditional to a knowledge economy. It attempts to explain how educational achievement, skilled manpower, investment in knowledge capital and analytics will be the key to success of a nation's comparative advantage in the globalized era. The volume should be of interest to students, researchers and teachers of economics, policy makers and advanced graduate students with an interest in economic analyses and development policy.

This book focuses on the assessment of different coal gasification technologies for the utilization of Russian coals with analyses of economically feasible process chains for preparation of marketable products from high-ash coals. The work presented is important in view of the general competitiveness that marks the future of coal in the world. As the cheapest form of fuel (in comparable terms) coal will undoubtedly be in demand resources in the world. The book consists of parts which include an overview about the major coal characteristics, detailed discussion of fundamental aspects of gasification technologies and gasifiers, an introduction into annex concepts, an overview about different technologies of syngas utilization, technical and economic assessment of several coal-to-liquid and coal-to-chemicals routes, and feasibility demonstration for selected process chains. This book is addressed to the management and engineers of Russian coal companies and scientific staff of Russian research institutions working in the field of coal utilization.

Q: How many female CEOs does it take to break the glass ceiling?

A: That's the wrong question!

Numbers alone simply don't tell the real story of how women are doing in today's corporate world. Success on Our Own Terms does. It's filled with real stories — stories of ordinary women who are making an extraordinary difference in the way corporations work.

Success on Our Own Terms features women of different ages, ethnic backgrounds, and educational levels. Their combined experiences offer a fascinating portrait of how the corporate landscape has changed for women over the last few decades. This book is filled with the wisdom of these experiences, from important lessons on navigating corporate corridors and influencing the system to juggling work and personal life, helping local communities, and much more.

Exploring the multidimensional definition of success shared by these women, this book reveals how they are working hard to reach their goals, balance their lives, and make a positive contribution to society. It shows how they —and others like them —are transforming the organization from the inside out through their own unique management style, values, vision, and determination.

By designing, achieving, and owning their success, women are exploding conventional definitions of their progress in the workplace. The female voices in Success on Our Own Terms inform, encourage, and inspire us all.

"Wonderful, timely, and absolutely refreshing. Reading this book excited and inspired me, and reaffirmed my belief that the future will be a great place for women." —Sally Helgesen, author of The Female Advantage: Women's Ways of Leadership and Everyday Revolutionaries: Working Women and the Transformation of American Life

"Virginia O'Brien tells the real story —that 'we are entering a new phase in which women are becoming full participants with men in conducting the nation's business.'. . . It's a heartening read, and a good antidote to media tales of doom and gloom." —Caryl Rivers, coauthor of She Works, He Works: How Two Income Families Are Happier, Healthier, and Better Off

"A must read to understand the multidimensional new values successful women bring to the marketplace of ideas. . . . [Readers] will find themselves, a friend, or a loved one on every page." —Carol R. Goldberg, President of the Avcar Group, Ltd. and former President and COO of Stop & Shop Companies, Inc.

"Insightful and informative. This excellent work brings the stories of successful women executives to the forefront." —Charles E. Rice, Chairman and CEO, Barnett Banks, Inc.

"These are inspiring stories, which I highly recommend." —Richard McCormick, Chairman and CEO, US West, Inc.

The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.

This is Volume 24 of the monograph series International Symposia in Economic Theory and Econometrics. ISETE publishes proceedings of conferences and symposia, as well as research monographs of the highest quality and importance. All articles published in these volumes are refereed relative to the standards of the best journals, therefore not all papers presented at related symposia are published in these proceedings volumes. The topics chosen for these volumes are those of particular research importance at the time of the selection of the topic.

This book is summarizing the results of the workshop "Uniform Distribution and Quasi-Monte Carlo Methods" of the RICAM Special Semester on "Applications of Algebra and Number Theory" in October 2013. The survey articles in this book focus on number theoretic point constructions, uniform distribution theory, and quasi-Monte Carlo methods. As deterministic versions of the Monte Carlo method, quasi-Monte Carlo rules enjoy increasing popularity, with many fruitful applications in mathematical practice, as for example in finance, computer graphics, and biology. The goal of this book is to give an overview of recent developments in uniform distribution theory, quasi-Monte Carlo methods, and their applications, presented by leading experts in these vivid fields of research.

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs). EDAs have arisen as one of the most successful experiences in the application of machine learning methods in optimization, mainly due to their efficiency to solve complex real-world optimization problems and their suitability for theoretical analysis. This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general. It can serve as a general introduction to EDAs but covers also an important current void in the study of these algorithms by explaining the specificities and benefits of modeling optimization problems by means of undirected probabilistic models. All major developments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered. The contributions included in the book address topics as relevant as the application of probabilistic-based fitness models, the use of belief propagation algorithms in EDAs and the application of Markov network based EDAs to real-world optimization problems. The book should be of interest to researchers and practitioners from areas such as optimization, evolutionary computation, and machine learning.

Volume 39A of Research in the History of Economic Thought and Methodology features a selection of essays presented at the 2019 Conference of the Latin American Society for the History of Economic Thought (ALAHPE), edited by Felipe Almeida and Carlos Eduardo Suprinyak, as well as a new general-research essay by Daniel Kuehn, an archival discovery by Katia Caldari and Luca Fiorito, and a book review by John Hall.

These essays honor Professor Peter C.B. Phillips of Yale University and his many contributions to the field of econometrics. Professor Phillips's research spans many topics in econometrics including: non-stationary time series and panel models partial identification and weak instruments Bayesian model evaluation and prediction financial econometrics and finite-sample statistical methods and results. The papers in this volume reflect additions to and amplifications of many of Professor Phillips' research contributions. Some of the topics discussed in the volume include panel macro-econometric modeling, efficient estimation and inference in difference-in-difference models, limiting and empirical distributions of IV estimates when some of the instruments are endogenous, the use of stochastic dominance techniques to examine conditional wage distributions of incumbents and newly hired employees, long-horizon predictive tests in financial markets, new developments in information matrix testing, testing for co-integration in Markov switching error correction models, and deviation information criteria for comparing vector autoregressive models.

This work is an examination of borderless markets where national boundaries are no longer the only relevant criteria in making international marketing, economic planning, and business decisions. Understanding political and nonpolitical borders is especially important for products and industries that are culture bound and those that require local adaptation. National culture is one critical factor that affects economic development, demographic behavior, and general business policies around the world. Over 75,000 statistics are provided for over 230 national groups covering a number of social, economic, and business variables. A significant review of literature is also included.