- Table View
- List View
Modelling Spatial Housing Markets: Theory, Analysis and Policy (Advances in Urban and Regional Economics #2)
by Geoffrey MeenSpatial fixity is one of the characteristics that distinguishes housing from most other goods and services in the economy. In general, housing cannot be moved from one part of the country to another in response to shortages or excesses in particular areas. The modelling of housing markets and the interlinkages between markets at different spatial levels - international, national, regional and urban - are the main themes of this book. A second major theme is disaggregation, not only in terms of space, but also between households. The book argues that aggregate time-series models of housing markets of the type widely used in Britain and also in other countries in the past have become less relevant in a world of increasing income dispersion. Typically, aggregate relationships will break down, except under special conditions. We can no longer assume that traditional location or tenure patterns, for example, will continue in the future. The book has four main components. First, it discusses trends in housing markets both internationally and within nations. Second, the book develops theoretical housing models at each spatial scale, starting with national models, moving down to the regional level and, then, to urban models. Third, the book provides empirical estimates of the models and, finally, the models are used for policy analysis. Analysis ranges over a wide variety of topics, including explanations for differing international house price trends, the causes of housing cycles, the role of credit markets, regional housing market interactions and the role of housing in urban/suburban population drift.
Modelling Stock Market Volatility: Bridging the Gap to Continuous Time
by Peter E. RossiThis essay collection focuses on the relationship between continuous time models and Autoregressive Conditionally Heteroskedastic (ARCH) models and applications. For the first time, Modelling Stock Market Volatility provides new insights about the links between these two models and new work on practical estimation methods for continuous time models. Featuring the pioneering scholarship of Daniel Nelson, the text presents research about the discrete time model, continuous time limits and optimal filtering of ARCH models, and the specification and estimation of continuous time processes. This work will lead to a rapid growth in their empirical application as they are increasingly subjected to routine specification testing. Provides for the first time new insights on the links between continuous time and ARCH models Collects seminal scholarship by some of the most renowned researchers in finance and econometrics Captures complex arguments underlying the approximation and proper statistical modelling of continuous time volatility dynamics
Modelling Supply Chain Dynamics
by Jose M. FraminanThis book discusses supply chain management, focusing on developments within modelling the dynamic behaviour of the supply chain. Aimed at postgraduate students, researchers and practitioners, this book provides an in-depth knowledge of the dynamics of supply chains. Business trends such as the globalisation process and the increase of competition across many industrial sectors have forced companies to concentrate on their core competences and to outsource those activities in which they do not excel. As a consequence, companies no longer produce and distribute their goods in isolation, but being part of a supply chain or supply network, i.e. a set of interrelated companies who ultimately deliver the goods and services to the final customer. Despite the prevalence of supply chains as the primary form of production and distribution, their performance can be seriously hampered by the complex dynamics resulting from the collaboration and coordination (or lack thereof) among their members.This book provides the reader with modelling tools to understand, analyse and improve the dynamic behaviour of supply chains. It assembles seminal works on supply chain models and recent developments on the topic in order to provide a comprehensive, unified vision of the field for researchers and practitioners who wish to grasp the challenges of supply chain management. Aside presenting the main elements, equations and performance indicators governing the dynamics of a supply chain, and the book addresses issues such as the effect of timely and accurately sharing the information across members, the influence of restrictions on the productive capacities of their members, or the impact of the variability of the lead times, among others. Furthermore, more complex supply chain structures such as non-serial supply networks or closed-loop supply chains are modelled and discussed. Relevant managerial insights regarding the causes of supply chain underperformance, as well as avenues to improve their efficiency can be extracted from the resulting models.
Modelling Techniques for Business Process Re-engineering and Benchmarking (IFIP Advances in Information and Communication Technology)
by Guy Doumeingts J. BrowneToday enterprises must strive to improve their competitiveness in a changing environment. To reach this objective it is necessary for companies to evaluate their performances and to combine modelling, business process re-engineering and benchmarking techniques. This book demonstrates the successful combination and implementation of these various techniques.
Modelling Techniques for Financial Markets and Bank Management (Contributions to Management Science)
by Marida Bertocchi Enrico Cavalli Sandor KomlosiShown is the application of up-to-date techniques for measuring efficiency, information imperfection and predictability in financial markets. Moreover, trading strategies in commodity future markets, models for the evolution of interest rates and postoptimality analysis in portfolio management are given. A couple of conceptual papers on modelling preference relations are also included.
Modelling the Economy and the Environment
by Bjarne Madsen Chris Jensen-Butler Jorgen Birk Mortensen Anne M. Bruun ChristensenThis book is based upon contributions to a Scandinavian conference on Transport, Agriculture and the Environment in a Regional and National Development Per spective: Quantitative and Modelling Approaches, organised by AKF, the Institute of Local Government Studies, Denmark, which was held on the Danish island of Bornholm in December 1993. The chapters represent leading edge research in Scandinavia at the end of 1993 into modelling relationships between the economy and the environment, embracing both regional and sectoral perspectives. The publication of this volume will hopefully contribute to dissemination of knowledge about the very active Scandinavian research tradition in this field, a research tradition which is related to a long-standing engagement of Scandinavian countries with environmental issues. The contributors come from Denmark, Norway and Sweden and the collection is prefaced by two chapters from well-known Dutch researchers, traditionally re garded by Scandinavians as close neighbours to the Scandinavian modelling tradition. The support of S0M (Society, Economy and Environment), an open research centre financed by the Danish Environmental Research Programme, and of AKF in the organisation of the original conference and the preparation of this book is gratefully acknowledged. It was with great sadness that the editors learned of the death of one of the contri butors, Poul Erik Stryg, during the preparation of the book.
Modelling the Efficiency of Family and Hired Labour: Illustrations from Nepalese Agriculture (Routledge Revivals)
by Prem Jung ThapaThis title was first published in 2003.The principal economic units in most developing countries are family based farm households. Empirical models that recognize the dual role of the farm household as producer and consumer in a theoretically consistent manner are essential tools for policy analyses. This book provides an important extension of the conventional farm household model by developing an analytical framework that allows for efficiency differences between family and hired labour as inputs in farm production. The model is estimated with survey data from the southern lowland region of Nepal. The estimation strategy is a two-step process. The first step estimates a farm-level production function in which is embedded a test for heterogeneity between family and hired labour. The labour heterogeneity detected in the production function estimation is incorporated, at the second step, in the labour supply estimation in a theoretically consistent manner. The methodological novelty is to relate the shadow wage rate for family labour to the observed market wage rate for hired labour, adjusted for the differential productivity of family and hired labour detected in the production function estimation.
Modelling the Efficiency of Family and Hired Labour: Illustrations from Nepalese Agriculture (Routledge Revivals)
by Prem Jung ThapaThis title was first published in 2003.The principal economic units in most developing countries are family based farm households. Empirical models that recognize the dual role of the farm household as producer and consumer in a theoretically consistent manner are essential tools for policy analyses. This book provides an important extension of the conventional farm household model by developing an analytical framework that allows for efficiency differences between family and hired labour as inputs in farm production. The model is estimated with survey data from the southern lowland region of Nepal. The estimation strategy is a two-step process. The first step estimates a farm-level production function in which is embedded a test for heterogeneity between family and hired labour. The labour heterogeneity detected in the production function estimation is incorporated, at the second step, in the labour supply estimation in a theoretically consistent manner. The methodological novelty is to relate the shadow wage rate for family labour to the observed market wage rate for hired labour, adjusted for the differential productivity of family and hired labour detected in the production function estimation.
Modelling the Growth of Corporations: Applications for Managerial Techniques and Portfolio Analysis
by J. Solvay Michéle Sanglier P. BrentonThis book demonstrates to managers and investment analysts the value of analysing the long-run growth processes of corporations. The authors develop an approach for analysing and modelling the productivity growth of individual corporations and show the importance of corporate culture in determining firm performance in the long-run. The model is explained in clear and non-technical terms, and is backed up by full mathematical proofs in an appendix. The authors use their diversity of experience from the business, academic and policy sectors to demonstrate a range of applications for their model. By applying the ideas of complexity and self-organisation to the modern corporation, this book provides an alternative to the standard economic approach to corporate growth.
Modelling the Socio-Economic Implications of Sustainability Issues in the Housing Market: A Stated Choice Experimental Approach
by Solomon Pelumi Akinbogun Clinton Aigbavboa Trynos Gumbo Wellington ThwalaThis book discusses sustainable housing issues in urban areas throughout the Global South, revealing their complexity in terms of urban dynamics, housing markets and human interactions with the environment. Its main focus is on the location of graves within private residences, cemeteries in the immediate vicinity of private residences, and the implications of these factors for renters’ choices and rents. The book addresses the economics of land use for graves in connection with housing choices and the implications for the rented sector of the property market. By means of several model-based simulations, it demonstrates that the neoclassical economics remedy to the negative externality of graves in or near private residences remains generally unacceptable. Providing readers with a clear understanding of tenants’ priorities in their choice of housing, as well as a new approach to the negative externality of graves in the rented sector, the book will be of interest to policymakers, urban planners, investors in residential housing and land economists alike.
Modelling the Survival of Financial and Industrial Enterprises: Advantages, Challenges and Problems with the Internal Ratings-based (IRB) Method
by D. ChorafasThis book analyses the use of modelling in charting the survival of financial and industrial enterprises. The author shows how to use models effectively, and goes on to consider the pitfalls that can occur. The book contains plenty of practical examples, making this a useful 'how to' guide.
Modelling Transitions: Virtues, Vices, Visions of the Future (Routledge Studies in Sustainability Transitions)
by Enayat A. Moallemi Fjalar J. de HaanModelling Transitions shows what computational, formal and data-driven approaches can and could mean for sustainability transitions research, presenting the state-of-the-art and exploring what lies beyond. Featuring contributions from many well-known authors, this book presents the various benefits of modelling for transitions research. More than just taking stock, it also critically examines what modelling of transformative change means and could mean for transitions research and for other disciplines that study societal changes. This includes identifying a variety of approaches currently not part of the portfolios of transitions modellers. Far from only singing praise, critical methodological and philosophical introspection are key aspects of this important book. This book speaks to modellers and non-modellers alike who value the development of robust knowledge on transitions to sustainability, including colleagues in congenial fields. Be they students, researchers or practitioners, everyone interested in transitions should find this book relevant as reference, resource and guide.
Modelling Transitions: Virtues, Vices, Visions of the Future (Routledge Studies in Sustainability Transitions)
by Enayat A. Moallemi Fjalar J. De HaanModelling Transitions shows what computational, formal and data-driven approaches can and could mean for sustainability transitions research, presenting the state-of-the-art and exploring what lies beyond. Featuring contributions from many well-known authors, this book presents the various benefits of modelling for transitions research. More than just taking stock, it also critically examines what modelling of transformative change means and could mean for transitions research and for other disciplines that study societal changes. This includes identifying a variety of approaches currently not part of the portfolios of transitions modellers. Far from only singing praise, critical methodological and philosophical introspection are key aspects of this important book. This book speaks to modellers and non-modellers alike who value the development of robust knowledge on transitions to sustainability, including colleagues in congenial fields. Be they students, researchers or practitioners, everyone interested in transitions should find this book relevant as reference, resource and guide.
Modelling Trends and Cycles in Economic Time Series (Palgrave Texts in Econometrics)
by T. MillsModelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. Terence Mills introduces these various approaches to allow students and researchers to appreciate the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.
Modelling Trends and Cycles in Economic Time Series (Palgrave Texts in Econometrics)
by Terence C. MillsModelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. In this second edition, Terence Mills expands on the research in the area of trends and cycles over the last (almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.
Modelling Unemployment Insurance: A Survey (Contributions to Economics)
by Paola PotestioThis book examines unemployment insurance policy through a survey, taking stock of the theoretical work in the field of labor economics. It closely follows and assesses developments in the modelling of optimal unemployment insurance (UI) policies, beginning with the initial analytical findings produced in the second half of the 1970s. A main part of the survey is devoted to the two basic strands of analysis about, respectively, the optimal level of UI benefits and the optimal time profile of UI policy. The book has two different objectives. The first is to provide an essential summary of the individual models, with the intention of underscoring how a number of specific messages for the policy-maker can be derived from analytical constructions. It further emphasizes and comments on what the models deliver to UI policy-makers. The second objective is to stress the importance and extension of open questions in the field of the theoretical approach to the unemployment insurance issue. The survey discusses the multiplicity of heterogeneities of the labor world in particular as relevant for UI issues on the one side, and on the other hand, the independence of the two basic choices of UI policy, its meaning and its limits, and the possible forms of complementarity between these choices.The book is a must-read for researchers, students, and policy-makers interested in a better understanding of the field of labor economics in general, as well as unemployment insurance policies in particular.
Modelling Value: Selected Papers of the 1st International Conference on Value Chain Management (Contributions to Management Science)
by Herbert Jodlbauer, Jan Olhager and Richard J. SchonbergerThe publication contains a selection of the best double-blind reviewed papers presented, discussed and revised by participants of the 1st International Conference on Value Chain Management in Austria, Steyr, May 2011. The Value Chain Management (VCM) Conference presents scientific insights relevant to management as well as their translation into the practice of management. The conference focus is on the demand chain i.e. sales, production, purchasing, logistics, performance measurement and customer value management. The authors present analytical and conceptual articles as well as empirical studies showing multidisciplinary and intercultural approaches towards solving relevant open problems.
Modelling with the Master Equation: Solution Methods and Applications in Social and Natural Sciences
by Günter HaagThis book presents the theory and practical applications of the Master equation approach, which provides a powerful general framework for model building in a variety of disciplines. The aim of the book is to not only highlight different mathematical solution methods, but also reveal their potential by means of practical examples.Part I of the book, which can be used as a toolbox, introduces selected statistical fundamentals and solution methods for the Master equation. In Part II and Part III, the Master equation approach is applied to important applications in the natural and social sciences.The case studies presented mainly hail from the social sciences, including urban and regional dynamics, population dynamics, dynamic decision theory, opinion formation and traffic dynamics; however, some applications from physics and chemistry are treated as well, underlining the interdisciplinary modelling potential of the Master equation approach. Drawing upon the author’s extensive teaching and research experience and consulting work, the book offers a valuable guide for researchers, graduate students and professionals alike.
Models, Algorithms, and Technologies for Network Analysis: Proceedings of the First International Conference on Network Analysis (Springer Proceedings in Mathematics & Statistics #32)
by Boris Goldengorin, Valery A. Kalyagin and Panos M. Pardalos Network Analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of these proceedings is to overcome this difficulty by collecting the major results found by the participants of the “First International Conference in Network Analysis,” held at The University of Florida, Gainesville, USA, from the 14th to the 16th of December 2011. The contributions of this conference not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology and applications.
Models, Algorithms, and Technologies for Network Analysis: Proceedings of the Second International Conference on Network Analysis (Springer Proceedings in Mathematics & Statistics #59)
by Boris I. Goldengorin, Valery A. Kalyagin and Panos M. PardalosThis volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics. This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in• vehicle routing • single machine scheduling • modern financial markets• cell formation in group technology• brain activities of left- and right-handers• speeding up algorithms for the maximum clique problem• analysis and applications of different measures in clusteringThe broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques presented.
Models, Algorithms and Technologies for Network Analysis: NET 2014, Nizhny Novgorod, Russia, May 2014 (Springer Proceedings in Mathematics & Statistics #156)
by Valery A. Kalyagin Petr A. Koldanov Panos M. PardalosThe contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.
Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016 (Springer Proceedings in Mathematics & Statistics #197)
by Valery A. Kalyagin Alexey I. Nikolaev Panos M. Pardalos Oleg A. ProkopyevThis valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.Chapters in this book cover the following topics:Linear max min fairnessHeuristic approaches for high-quality solutionsEfficient approaches for complex multi-criteria optimization problemsComparison of heuristic algorithmsNew heuristic iterative local search Power in network structuresClustering nodes in random graphsPower transmission grid structureNetwork decomposition problemsHomogeneity hypothesis testingNetwork analysis of international migrationSocial networks with node attributesTesting hypothesis on degree distribution in the market graphsMachine learning applications to human brain network studies This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.
Models and Algorithms for Global Optimization: Essays Dedicated to Antanas Žilinskas on the Occasion of His 60th Birthday (Springer Optimization and Its Applications #4)
by Aimo Tö Julius 381 IlinskasThe research of Antanas Zilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems. This volume, dedicated to Professor Zilinskas on the occasion of his 60th birthday, contains new survey papers in which leading researchers from the field present various models and algorithms for solving global optimization problems.
Models and Algorithms of Time-Dependent Scheduling (Monographs in Theoretical Computer Science. An EATCS Series)
by Stanisław GawiejnowiczThis is a comprehensive study of various time-dependent scheduling problems in single-, parallel- and dedicated-machine environments. In addition to complexity issues and exact or heuristic algorithms which are typically presented in scheduling books, the author also includes more advanced topics such as matrix methods in time-dependent scheduling, time-dependent scheduling with two criteria and time-dependent two-agent scheduling.The reader should be familiar with the basic notions of calculus, discrete mathematics and combinatorial optimization theory, while the book offers introductory material on theory of algorithms, NP-complete problems, and the basics of scheduling theory. The author includes numerous examples, figures and tables, he presents different classes of algorithms using pseudocode, he completes all chapters with extensive bibliographies, and he closes the book with comprehensive symbol and subject indexes.The previous edition of the book focused on computational complexity of time-dependent scheduling problems. In this edition, the author concentrates on models of time-dependent job processing times and algorithms for solving time-dependent scheduling problems. The book is suitable for researchers working on scheduling, problem complexity, optimization, heuristics and local search algorithms.
Models and Experiments in Risk and Rationality (Theory and Decision Library B #29)
by Bertrand Munier Mark J. MachinaModels and Experiments in Risk and Rationality presents original contributions to the areas of individual choice, experimental economics, operations and analysis, multiple criteria decision making, market uncertainty, game theory and social choice. The papers, which were presented at the FUR VI conference, are arranged to appear in order of increasing complexity of the decision environment or social context in which they situate themselves. The first section `Psychological Aspects of Risk-Bearing', considers choice at the purely individual level and for the most part, free of any specific economic or social context. The second section examines individual choice within the classical expected utility approach while the third section works from a perspective that includes non-expected utility preferences over lotteries. Section four, `Multiple Criteria Decision-Making Under Uncertainty', considers the more specialized but crucial context of uncertain choice involving tradeoffs between competing criteria -- a field which is becoming of increasing importance in applied decision analysis. The final two sections examine uncertain choice in social or group contexts.