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Author: Ka-Lin Karen Chan Publisher: ISBN: 9781361052341 Category : Languages : en Pages :
Book Description
This dissertation, "Forecasting Models for Hong Kong's Consumer Price Index" by Ka-lin, Karen, Chan, 陳家蓮, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3197725 Subjects: Consumer price indexes - China - Hong Kong - Forecosting Price indexes Cost and standard of living - Statistics
Author: Ka-Lin Karen Chan Publisher: ISBN: 9781361052341 Category : Languages : en Pages :
Book Description
This dissertation, "Forecasting Models for Hong Kong's Consumer Price Index" by Ka-lin, Karen, Chan, 陳家蓮, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3197725 Subjects: Consumer price indexes - China - Hong Kong - Forecosting Price indexes Cost and standard of living - Statistics
Author: Haichuan Xu Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
In the past year, we have witnessed that the U.S. inflation rate hit the highest peak in over 40 years and is still close to its multi-decade high now. The overall change in consumer prices has a significant impact on the nation's economic activity, product manufacturing, consumer behavior, and stock market. In this work, I develop a semiparametric forecasting approach using factor models with a large number of macroeconomic or financial time series predictors. The proposed method deals with the complex temporal and cross-sectional dependence of macroeconomic or financial time series predictors. Also, the proposed method does not need the prior knowledge of forecasting directions and forecasting function. I will examine the performance of the proposed method in simulation studies and a real-world application for predicting the consumer price index.
Author: Kevin Wong Publisher: Routledge ISBN: 1136411550 Category : Business & Economics Languages : en Pages : 160
Book Description
Stay up to date with the most effective practices in tourism demand forecasting! Tourism Forecasting and Marketing presents vital, up-to-date research on the latest practice and applications of tourism demand modeling and forecasting. The book addresses both econometric and time series approaches to forecasting, focusing on the concepts, model specification, data analysis, and methodologies used in day-to-day tourism planning. An international panel of practitioners and academics call on a diverse range of empirical research findings to discuss commonly used theoretical frameworks for forecasting and future directions tourism demand is likely to take. Tourism Forecasting and Marketing presents research findings from the United States, the United Kingdom, Asia, and Australia that are invaluable for guiding government and private sector tourism investment and development decisions. The book addresses traditional versus modern forecasting techniques; evaluations of current and past forecasting methods; modeling and forecasting destination choice; and the impact of forecasting and marketing on tourism demand. Topics include: using time series models to forecast inbound tourism demand for China and Greece determining the economic factors that influence tourism demand in Hong Kong, Indonesia, and Malaysia examining domestic travel expenditures in South Korea developing a model to forecast ski tourism using the Palmore cohort analysis for tourism forecasting and much more! Tourism Forecasting and Marketing is an important textbook for educators and students working in tourism policy planning and management, and tourism marketing. The book is equally effective as a reference for travel and tourism researchers, and for professionals dealing with tourism demand analysis and forecasting.
Author: Shinichi Ichimura Publisher: Springer Science & Business Media ISBN: 4431682589 Category : Business & Economics Languages : en Pages : 507
Book Description
This book is a sequel to our first report of ASIAN LINK PROJECT in 1985: Econometric Models of Asian LINK, Springer-Verlag, Tokyo - Berlin - New York. Now the scope is expanded to Asian-Pacific Countries in coverage, so that this monograph presents the econometric models of Japan, the United States, Canada, China, Korea, Taiwan, Hong Kong, Thailand, the Philippines, Malaysia, Singa pore, Indonesia, Australia and the European Community. We are particularly happy to have included the excellent models of Australia and Canada whose economies are essential parts of the Asian-Pacific Economic Community. Most of those models were presented at the Workshop of Asian Link Project held in Bandung, Indonesia at the time of the Second Convention of the East Asian Eco nomic Association, 1990. Those models have been up-dated since then, and several other important models were added. Unlike our previous book, we have not tried here to link these national models as a regional or global model in any way, ex cept for the model by S. Kinoshita which offers a regional linkage for Pacific-basin economies by linking the US, Japan, Canada, the European Community coun tries as a group, Asian NIEs (Korea, Hong Kong, Taiwan), ASEAN (Indonesia, Malaysia, the Philippines, Singapore) and East Asian economies. As we argued in our previous publication, we tried to publish these econometric models again with the statistical data as much as we could, so as to enable the reader examine the estimation and performance of the models by himself.
Author: Ka-Lin Karen Chan
Author: Ka-Lin Karen Chan
Author: Ka-lin Chan (Karen)
Author: A. Pierre Cloutier
Author: John Malcolm Dowling
Author: 
Author: Haichuan Xu
Author: James Yetman
Author: Kevin Wong
Author: Shinichi Ichimura
Author: Baekin Cha