This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author's extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual. It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices.

The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.

The Handbook of Research on Designing Sustainable Strategies to Develop Entrepreneurial Intention is a comprehensive book that addresses the issue of entrepreneurial intention and its development. The book highlights the significant role of entrepreneurship in the growth and development of economies and presents a global understanding of entrepreneurial intention. It discusses how the “seeds” of entrepreneurial intention are sown, and how a supportive entrepreneurial ecosystem can develop successful entrepreneurs. The book provides insights into the challenges and apprehensions faced by aspiring entrepreneurs. This book develops models and frameworks to identify strategies, best practices, case studies, and successful examples from multiple regions to develop entrepreneurial intention among students of higher education. It bridges the gap between policies related to the entrepreneurial ecosystem and its implementation to nurture entrepreneurial intention among aspiring entrepreneurs. This book is an essential resource for researchers, industry practitioners, academicians, higher education institutions, students, policy makers, corporate executives, banks, venture capitalists, angel investors, and entrepreneurs trying to re-enter. It is also highly useful for undergraduate, graduate, and research level students pursuing entrepreneurship education and aspiring to become entrepreneurs. Overall, the book provides an in-depth understanding of entrepreneurial intention and how it can be nurtured to create successful entrepreneurs, making it an important reference for anyone interested in entrepreneurship and economic growth.

This is an open access book.Related to the big theme of the SDGs reinforcement at our previous conference, we try to invite all academics and researchers around the world to participate in the 4th Borobudur International Symposium 2022 (4thBIS 2022). As we know, the COVID-19 pandemic and its impact on all the 17 SDGs have demonstrated how what began as a health catastrophe swiftly transformed into a human, socioeconomic and environmental crisis. The 4th BIS brought up “The Innovation Chain: A Contribution to Society and Industry” as the main theme to respond this condition. This conference is expected to support the UN Agenda. Additionally, this conference will also provide avenues for participants to exchange ideas and network with each other as well as domain experts from their fields. Overall, this event is aimed at professionals across all spheres of technology and engineering including the experienced, inexperienced, and students as well. The conference will be held virtually on Wednesday, December 21st, 2022 in Magelang, Central Java, Indonesia.

The relationship between ownership structure and firm performance has been studied extensively in corporate finance and corporate governance literature. Nevertheless, the mediation (path) analysis to examine the issue can be adopted as a new approach to explain why and how ownership structure is related to firm performance and vice versa. This approach calls for full recognition of the roles of agency costs and corporate risk-taking as essential mediating variables in the bi-directional and mediated relationship between ownership structure and firm performance. Based on the agency theory, corporate risk management theory and accounting for the dynamic endogeneity in the ownership–performance relationship, this book develops two-mediator mediation models, including recursive and non-recursive mediation models, to investigate the ownership structure–firm performance relationship. It is demonstrated that agency costs and corporate risk-taking are the ‘missing links’ in the ownership structure–firm performance relationship. Hence, this book brings into attention the mediation and dynamic approach to this issue and enhances the knowledge of the mechanisms for improving firm’s financial performance. This book will be of interest to corporate finance, management and economics researchers and policy makers. Post-graduate research students in corporate governance and corporate finance will also find this book beneficial to the application of econometrics into multi-dimensional and complex issues of the firm, including ownership structure, agency problems, corporate risk management and financial performance.

This book focuses on the gender-specific labour force participation rates across regions in India and identifies its most important determinants. Before concentrating on the Indian context, it examines the participation rates of various countries in the Asia-Pacific region. Not unexpectedly, the study shows that the rate is significantly lower for females than for males in this region. The rural–urban differentials are more pronounced and the inter-state variations are more sizable among females than males. Even in large cities, the female labour market participation is lower than that in the rural areas despite higher levels of education. However, in terms of inter-spatial (rural/urban/city) variations, the impact of infrastructure, education, health and urbanization on the labour force participation of both genders is quite distinct. On the whole, the study reinforces the stance that women’s participation in productive activities has a doubly positive impact; it not only raises the household income, but also contributes to the wellbeing of the household. These findings are important from a policy perspective, as different infrastructure variables are confirmed to improve both participation and labour productivity. As such, the book offers a valuable resource not only for researchers, but also for NGOs and policymakers.