The paper presents and discusses the methodology used and the results obtained by the application of the Principal Component Analysis (PCA) on a set of socio-economical and land use data collected in the Duy Tien district (Ha Nam province), Vietnam. Objective of this study is to use PCA as a data reduction method to verify if a relation could be established between the quantities of waste generated in a region and its land use and socio-economical characteristics.
Trends of globalisation, the integration of markets and the rise of the Internet economy have made that violations of intellectual property rights (IPRs), such as counterfeiting or Internet piracy, have become more widespread. While there is no shortage of estimates of the scale and impacts of these infringements, there is little consensus on their accuracy or reliability. In absence of a robust evidence base, it is difficult to debate the effectiveness of government efforts to regulate IPRs or address the impacts of infringements....
The CSFR, in accordance with its mandate and Association policy, supports publication of this report as a sc ientific contribution to human rights. The interpretations and conclusions are those of the author and do not purport to represent the views of the AAAS Board, the AAAS Council, the CSFR, or the members of the Association.
Chapter 7 - Demand estimation and forecasting. After studying this chapter you will be able to: Specify an empirical demand function - both linear and nonlinear functional forms; for price-setting firms with market power, you will learn to how to use least-squares regression methodology to estimate a firm’s demand function; forecast sales and prices using time-series regression analysis.
Chapter 7 - Demand estimation and forecasting. After studying this chapter you will be able to: Specify an empirical demand function - both linear and nonlinear functional forms; for price-setting firms with market power, you will learn to how to use least-squares regression methodology to estimate a firm’s demand function; forecast sales and prices using time-series regression analysis;...
Recent advances in data collection and data storage techniques enable
marketing researchers to study the characteristics of a large range of
transactions and purchases, in particular the effects of household-specific
characteristics and marketing-mix variables.
This book presents the most important and practically relevant quantitative
models for marketing research. Each model is presented in detail
with a self-contained discussion, which includes: a demonstration of the
mechanics of the model, empirical analysis, real-world examples, and
interpretation of results and findings.
Changes in the use of land reflect a variety of environmental and social factors, necessitating an equally varied suite of data to be used for effective analysis. While remote sensing, both from satellites and air photos, provides a central resource for study, socio-economic surveys, censuses, and map sources also supply a wealth of valid information. Land Use Change: Science, Policy and Management presents spacial theories and methodologies that support an integrated approach to the analysis of land use change.
This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.
This is probably the first study that has used resilience, the adaptive cycle and
panarchy as a major part of the conceptual foundation for the work. Resilience
(as used here) has been explored in the literature for about 30 years, the
adaptive cycle originated about 18 years ago and both have been integrated
within the panarchy concept for only a few years.
This thesis is organised into seven chapters. Chapter One presents a general introduction to
the study. This provides an overview of the thesis, including the background and motivation
for the study, its main objectives, promising contributions, the methodology and the structure
of the thesis.
Chapter Two critically reviews the literature on mutual fund performance. The
chapter begins with the performance measures proposed in the literature, together with
empirical results for developed markets.
This report presents a methodology for calculating such impacts. To illustrate the
magnitude of potential impacts, two alternative scenarios are outlined for long-
term US public transportation investment; a “base case” scenario that maintains
long-term public transportation ridership trends, and a “higher transit investment”
scenario that adds investment each year over the 2010-2030 period. The analysis
estimates how travel times and costs, including effects of changes in congestion
levels and mode switching, differs among the scenarios.
The next section highlights the economic significance of the
livestock sector and reviews livestock policies. The two sections that follow
describe (respectively) livestock production and marketing systems. The
methodology of the paper is discussed in Section V. This is followed in
Section VI by a close look at the Idara-e-Kissan cooperative, its institutional
model, and its operations. Economic analysis of returns on milk production
of IK members and a control group of non-members is presented in the
In Figure 1, we plot the ratio of economy-wide after-tax corporate profits to GNP.
These data are available in the Survey of Current Business National Income and Product
Accounts (NIPA) for 1929 and after (U.S. Commerce 1929—2000). Prior to 1929, we apply
the methodology of the Bureau of Economic Analysis (BEA) to construct our own measures
of after-tax corporate profits. (See U.S. Commerce 1985 and our Data Appendix for details.)
The results are in Table 1. In 1929, the BEA reports after-tax profits equal to 8.8 percent of
Our paper proceeds as follows. Section 2 reviews our data, and describes the economic state
variables and risk factors used in the study. Section 3 reviews the investor types considered in
our study, and provides details on the methodology. Section 4 presents the main empirical results,
while Section 5 conducts an attribution analysis and Section 6 provides robustness results. Finally,
Section 7 concludes. Details on data sources, variable construction, and additional robustness
results are provided in a series of appendices available from the web....