Download or read book Working Data for Demand Analysis written by and published by . This book was released on 1984 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Working Data for Demand Analysis written by United States. Economic Research Service and published by . This book was released on 1963 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Working Data for Demand Analysis written by and published by . This book was released on 1984 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Working Data for Demand Analysis written by Ann Duncan and published by . This book was released on 1985 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Analysis written by Herman O. A. Wold and published by New York ; Toronto : Wiley. This book was released on 1953 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Download or read book Demand Analysis and Inventory Control written by Colin David Lewis and published by . This book was released on 1975 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Micro Data in Demand Analysis written by Per Halvor Vale and published by . This book was released on 1997 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Studies in Consumer Demand Econometric Methods Applied to Market Data written by Jeffrey A. Dubin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies in Consumer Demand - Econometric Methods Applied to Market Data contains eight previously unpublished studies of consumer demand. Each study stands on its own as a complete econometric analysis of demand for a well-defined consumer product. The econometric methods range from simple regression techniques applied in the first four chapters, to the use of logit and multinomial logit models used in chapters 5 and 6, to the use of nested logit models in chapters 6 and 7, and finally to the discrete/continuous modeling methods used in chapter 8. Emphasis is on applications rather than econometric theory. In each case, enough detail is provided for the reader to understand the purpose of the analysis, the availability and suitability of data, and the econometric approach to measuring demand.

Download or read book Recent Developments in Applied Demand Analysis written by E.A. Selvanathan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of consumer demand is important for a number of reasons. First, as total consumption absorbs more than 70 percent of GDP in most countries, it is the largest of the macroeconomic aggregates, thus having great significance for the state of the economy as a whole and business conditions. Second, the pattern of consumption contains a wealth of useful information regarding economic welfare and living standards. Closely allied to this is that as consumption (both current and future) is the ultimate objective of all economic activity and economic systems (mercantilists notwithstanding), in a fundamental sense consumption patterns are an objective way of measuring and assessing economic performance. Finally, an understanding of the price-responsiveness of consumption is of crucial importance for a host of microeconomic policy issues including public-utility pricing, the measurement of distortions, optimal taxation and the treatment of externalities. The analysis of consumer demand is one of the major successes of economics as it represents the near perfect marriage of theory and econometrics, a situation almost unparalleled in any other field of economics. This field has attracted a lot of attention since the introduction of the linear expenditure system and its application to British data by Stone (1954), followed by the differential demand system of Barten (1964) and Theil (1965, 1975176, 1980) and developments thereafter.

Download or read book Pricing Demand Analysis and Simulation written by Nadira Barkatullah and published by Universal-Publishers. This book was released on 1999-03 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent changes in the New South Wales water utilities show a trend towards usage-related pricing, with the aim of providing efficient signals for consumption. This thesis evaluates alternative pricing strategies for water against the criteria of efficiency and equity while maintaining the financial viability of the public utility. First, the water utility cost structure is examined by developing cost functions to estimate short and long-run marginal costs, using a quarterly time-series data from 1970/71 to 1995/96. Second, a residential water demand model is developed using a panel data set (constructed for the analysis), comprising 822 cross-sectional units and 23 quarterly time periods from 1990/91 to 1995/96. The purposes of developing the demand model are to test the sensitivity of water demand to changes in the tariff structure and to use it to simulate the impact of alternative pricing strategies. Third, the simulation model is developed to analyse various pricing reforms using both the cost and demand model results, where the individual welfare and aggregate efficiency gains are determined under each pricing policy. In addition to this, the distributional effects of various tariff structures are examined. The empirical results of the cost structure estimates are comparable with previous studies. The demand estimation indicates that consumers respond to price, therefore price can be considered as a tool in the implementation of demand management strategies. However, the magnitude of the price elasticity suggests that substantial increases in price would be required to influence demand. Finally, the simulation results show that in the case of movement from the actual tariff structure to a two-part tariff policy (where the usage charge is equal to the short-run marginal cost), leads to highest efficiency gains.

Download or read book Data for Food Demand Analysis written by Alden C. Manchester and published by . This book was released on 1990 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Analysis written by Herman Wold and published by . This book was released on 1964 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Analysis with Disaggregated Data written by Alan W. Beggs and published by . This book was released on 1991 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Forecasting for Inventory Control written by Nick T. Thomopoulos and published by Springer. This book was released on 2014-12-04 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference. The potential market is vast. It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering.

Download or read book Demand Analysis with Many Prices written by Victor Chernozhukov and published by . This book was released on 2019 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its inception, demand estimation has faced the problem of "many prices." This paper provides estimators of average demand and associated bounds on exact consumer surplus when there are many prices in cross-section or panel data. For cross-section data we provide a debiased machine learner of consumer surplus bounds that allows for general heterogeneity and solves the "zeros problem" of demand. For panel data we provide bias corrected, ridge regularized estimators of average coefficients and consumer surplus bounds. In scanner data we find smaller panel elasticities than cross-section and that soda price increases are regressive.

Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University