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Transformasi organisasi berbasis data analitik (data-driven organization) merupakan sebuah keniscayaan. Berbicara tentang data-driven organization, kita tidak hanya berbicara mengenai tools atau aplikasi, namun juga bagaimana data analitik menjadi bagian dari system, proses, dan strategi organisasi. Data analitik tidak hanya sekedar menjadi tren bagi insan yang berminat di bidang data, namun juga dapat menjadi sebuah budaya kerja bagi seluruh pegawai. Data analitycs memberi ruang yang luas bagi mereka untuk menyalurkan minat dan mendorong munculnya inovasi baru bagi organisasi yang sinergi, adaptif, berteknologi, dan unggul serta mampu memberikan dampak yang lebih kuat dan luas. Kompetisi Ke...
Calls for a more people-focused approach to statistics on economic performance, and concerns about inequality, environmental impacts, and effects of digitalization have put welfare at the top of the measurement agenda. This paper argues that economic welfare is a narrower concept than well-being. The new focus implies a need to prioritize filling data gaps involving the economic welfare indicators of the System of National Accounts 2008 (SNA) and improving their quality, including the quality of the consumption price indexes. Development of distributional indicators of income, consumption, and wealth should also be a priority. Definitions and assumptions can have big effects on these indicators and should be documented. Concerns have also arisen over potentially overlooked welfare growth from the emergence of the digital economy. However, the concern that free online platforms are missing from nominal GDP is incorrect. Also, many of the welfare effects of digitalization require complementary indicators, either because they are conceptually outside the boundary of GDP or impossible to quantify without making uncertain assumptions.
In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook ...
"Digitalization encompasses a wide range of new applications of information technology in business models and products that are transforming the economy and social interactions. Digitalization is both an enabler and a disruptor of businesses. The lack of a generally agreed definition of the “digital economy” or “digital sector” and the lack of industry and product classification for Internet platforms and associated services are hurdles to measuring the digital economy. This paper distinguishes between the “digital sector” and the increasingly digitalized modern economy, often called the “digital economy,” and focuses on the measurement of the digital sector. The digital sector covers the core activities of digitalization, ICT goods and services, online platforms, and platform-enabled activities such as the sharing economy."
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across ...
Understanding Financial Accounts seeks to show how a range of questions on financial developments can be answered with the framework of financial accounts and balance sheets, by providing non-technical explanations illustrated with practical examples.
What are the impacts of population growth? Can our planet support the demands of the ten billion people anticipated to be the world's population by the middle of this century? While it is common to hear about the problems of overpopulation, might there be unexplored benefits of increasing numbers of people in the world? How can we both consider and harness the potential benefits brought by a healthier, wealthier and larger population? May more people mean more scientists to discover how our world works, more inventors and thinkers to help solve the world's problems, more skilled people to put these ideas into practice? In this book, leading academics with a wide range of expertise in demography, philosophy, biology, climate science, economics and environmental sustainability explore the contexts, costs and benefits of a burgeoning population on our economic, social and environmental systems.
Abstract: April 1999 - As conventionally measured, current household income relative to a poverty line can only partially explain how Russian adults perceive their economic welfare. Other factors include past incomes, individual incomes, household consumption, current unemployment, risk of unemployment, health status, education, and relative income in the area of residence. Paradoxically, when economists analyze a policy's impact on welfare they typically assume that people are the best judges of their own welfare, yet resist directly asking them if they are better off. Early ideas of utility were explicitly subjective, but modern economists generally ignore people's expressed views about th...
"An Introduction to Regularized Estimation in High Dimensions considers statistical theory, methods, and algorithms for large and complex data. The main focus is on regularized estimators, which are at the cusp of entering the statistical toolkits of almost all scientific disciplines. This book provides clear expositions, motivational introductions to each chapter, rigorous step-by-step proofs, and comprehensive exercise sets with fully worked out solutions. These features make this book ideal for graduate level courses. Moreover, the book also discusses cutting-edge topics, such as aspects of inference, robustness, and tuning parameters. The book also contains results and insights that are new altogether, including improvements of existing theories and novel connections among different methods, which are organized into special chapters for those wishing to advance their reading in the field."--
What is development -- How does development happen? -- Why are some countries rich and others poor? -- What can be done to accelerate development? -- The evolution of development aid -- Sustainable development -- Globalization and development -- The future of development.