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Seminar paper from the year 2001 in the subject Business economics - Offline Marketing and Online Marketing, grade: 1,2 (A+), University of Cooperative Education Mannheim (International Business Admin. and Information Technology), course: Market Research, language: English, abstract: Consumers nowadays spend their money very well directed. This trend of trained buying restraints makes it increasingly hard to track them. Therefore complex panel research is inevitable if one is eager to keep his company in the black numbers. The objective of this seminar paper is, after a generally assertion over panels, to put more profound knowledge about trade panels across to the reader. Therefore a differentiation to other panel forms is primarily necessary, which in the first chapter takes place. Furthermore a rough partitioning of the commercial panel follows in chapter two, since modifications in the assortment width and depth shifted the commercial landscape and the consumer′s shopping behavior and the associated regression of the traditional retail trade lead to a strong diversification of the institutes. In the third chapter deals with the basic elements of the retail panel as well as some associated problems which are more specifically lit up and possible solutions are pointed out. This also includes a closer look at scanning and its connection to retail tracking. Due to the importance of scanning nowadays, I would additionally give a brief overview about actual scanning services. In chapter four my goal is it to give an overview of the 4 dimensions of a panel number to the reader. Since measurable facts & figures tend to grow, I will take a closer look at some special forms of figures regarding trade and electronic trade panel in chapter five. Furthermore it is in my opinion meaningful to point out the international level of presence and comparability of commercial panels in times of the internationalization and globalization, Therefore this topic is explicitly dealt with in chapter six.
‘Econometric Analysis of Panel Data’ has become established as the leading textbook for postgraduate courses in panel data. This book is intended as a companion to the main text. The prerequisites include a good background in mathematical statistics and econometrics. The companion guide will add value to the existing textbooks on panel data by solving exercises in a logical and pedagogical manner, helping the reader understand, learn and teach panel data. These exercises are based upon those in Baltagi (2008) and are complementary to that text even though they are stand alone material and the reader can learn the basic material as they go through these exercises. The exercises in this book start by providing some background material on partitioned regressions and the Frisch-Waugh-Lovell theorem, showing the reader some applications of this material that are useful in practice. Then it goes through the basic material on fixed and random effects models in a one-way and two-way error components models, following the same outline as in Baltagi (2008). The book also provides some empirical illustrations and examples using Stata and EViews that the reader can replicate. The data sets are available on the Wiley web site (www.wileyeurope.com/college/baltagi).
This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have fostered this growth, including freely available programs in R and numerous user-written programs in both Stata and EViews. Written by one of the world’s leading researchers and authors in the field, Econometric Analysis of Panel Data has established itself as the leading textbook for graduate and postgraduate courses on panel data. It provides up-to-date coverage of basic panel data techniques, illustrated with real economic applications and datasets, which are available at the book’s website on springer.com. This new sixth edition has been fully revised and updated, and includes new material on dynamic panels, limited dependent variables and nonstationary panels, as well as spatial panel data. The author also provides empirical illustrations and examples using Stata and EViews. “This is a definitive book written by one of the architects of modern, panel data econometrics. It provides both a practical introduction to the subject matter, as well as a thorough discussion of the underlying statistical principles without taxing the reader too greatly." Professor Kajal Lahiri, State University of New York, Albany, USA. "This book is the most comprehensive work available on panel data. It is written by one of the leading contributors to the field, and is notable for its encyclopaedic coverage and its clarity of exposition. It is useful to theorists and to people doing applied work using panel data. It is valuable as a text for a course in panel data, as a supplementary text for more general courses in econometrics, and as a reference." Professor Peter Schmidt, Michigan State University, USA. “Panel data econometrics is in its ascendancy, combining the power of cross section averaging with all the subtleties of temporal and spatial dependence. Badi Baltagi provides a remarkable roadmap of this fascinating interface of econometric method, enticing the novitiate with technical gentleness, the expert with comprehensive coverage and the practitioner with many empirical applications.” Professor Peter C. B. Phillips, Cowles Foundation, Yale University, USA.
The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.
Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.
The book’s 30 chapters are divided into three sections – international trade, economic development, macroeconomics and finance – and focus on the frontier issues in each. Section I addresses analytical issues relating to trade-environment linkage, capital accumulation for pollution abatement, possibility of technology diffusion by multinational corporations, nature of innovation inducing tariff protection, effects of import restriction and child labour, the links between exchange rate, direction of trade and financial crisis—the implications for India and global economic crisis, financial institutions and global capital flows and balance of payments imbalances. Section II consists of discussions on the causes of widespread poverty persisting in South Asia, development dividend associated with peace in South Asia, issues of well-being and human development, implications for endogenous growth through human capital accumulation on environmental quality and taxation, the rationale for a labour supply schedule for the poor, switching as an investment strategy, the role of government and strategic interaction in the presence of information asymmetry, government’s role in controlling food inflation, inter-state variations in levels and growth of industry in India, structural breaks in India’s service sector development, and the phenomenon of wasted votes in India’s parliamentary elections. Section III deals with the effectiveness of monetary policy in tackling economic crisis, the effective demand model of corporate leverages and recession, the empirical link between stock market development and economic growth in cross-country experience in Asia, an empirical verification of the Mckinnon-Shaw hypothesis for financial development in India, the dynamics of the behaviour of the Indian stock market, efficiency of non-life insurance companies, econometric study of the causal linkage between FDI and current account balance in India and the implications of contagious crises for the Indian economy.
Based on in-depth empirical research, this book develops our understanding of maritime transport costs, the maritime industry and the competitiveness of regions in a global market environment through a geographical lens. Further, the book uses a unique set of data that gives an extensive insight into Latin American international maritime transport costs and its determinants. This is a clear call for policy makers and port authorities to strengthen transnational cooperation in order to improve the development of the whole system of maritime transport, focusing on the causes that put regions at risk of becoming peripheral and uncompetitive.
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.
This book collects selected contributions from the international conference “Optimization and Decision Science” (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods. In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management. Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.
The estimated spillover of the global crisis to emerging market (EM) economies in the Middle East and North Africa (MENA) indicates that nearly two-thirds of the increased financial stress in MENA EM countries after the Lehman shock is attributable to direct or indirect spillovers of financial stress in advanced economies. Moreover, the estimated models suggest that the increased financial stress and slowdown in economic activity in advanced economies can explain about half of the drop in real GDP growth in MENA EM countries after the Lehman shock.