This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually honed, with the help of “your turn” exercises. At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods—generalized additive models and random forests (an important and versatile machine learning method)—are introduced intuitively with applications. The book will be of great interest to economists—students, teachers, and researchers alike—who want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively, while also equipping them with key data science skills.
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package. High quality R packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book. The book is in two parts. The first part begins with a detailed narrative about John Snow’s heroic investigations into the cause of cholera. The chapters that follow cover basic elements of R, regression, and an introduction to causality using the potential outcomes framework and causal graphs. The second part covers specific causal inference methods, including experiments, matching, panel data, difference-in-differences, regression discontinuity design, instrumental variables and meta-analysis, with the help of empirical case studies of policy issues. The book adopts a layered approach that makes it accessible and intuitive, using helpful concepts, applications, simulation, and data graphs. Many public policy questions are inherently causal, such as the effect of a policy on a particular outcome. Hence, the book would not only be of interest to students in public policy and executive education, but also to anyone interested in analysing data for application to public policy.
This brief views the environment through diverse lenses – those of standard economics, institutional economics, political science, environmental science and ecology. Chapter 2 discusses diverse theoretical and statistical models – constrained optimization models, game theory, differential equations, and statistical models for causal inference – in a simple manner. Developing countries have certain distinct environmental problems – traditional pollution and traditional dependence on the commons. While chapters 3 and 4 discuss these specific problems, statistical graphs of the World Development Indicators explore the macro-context of developing countries in chapter 1. Chapter 5 examines ecological systems, which are nonlinear and unpredictable, and subject to sudden regime shifts. Chapter 6 deals with the global challenges of climate change and biological invasions. The last chapter discusses sustainable development and institutions. The brief explains these topics simply; mathematics is largely confined to an appendix. The broad treatment and simple exposition will appeal to students new to the field of economics. The extension of core economic models in diverse directions will also be of interest to economists looking for a different treatment of the subject.
“Crossing the Abyss” is the highest form of spiritual manifestation, a universal law, in which soul slowly ascends, towards highest states of consciousness, Self in relationship to the movements of the “Celestial Kingdom” in which Reality is undeniable. All Abrahamic religions go back to the ultimate experience of Self, “I” in which truth is unified in One. “Behold, thou art one in me, a Son of God; and thus, may all become my sons Amen.” Moses 6:68. This book is an evidence based on facts and real life experiences on what lies ahead, as we may have engaged ourselves in self destructive practices in meeting the challenges of this millennium. It answers the very question about truth, as the highest form of divinity present in every human being and not a hypocritical function of blind faith, practiced by religion. Transcending mortality into immortality an “Aryan Kshatriya” of a warrior class scaling strength in character, annihilation in traits and on path to self-realization, made an Atonement post 9/11. This in service to protect all Christians and the Royal Crowns on The Path to the Royal Road in a discipline and discipleship - Raja Yoga with Her Majesty the Queen Elizabeth II. Enforcing withdrawal of British troops from Iraq, release of 15 MI agents in Iran, to remission in histories and celestial performances in harmonizing global deficit and establishing global financial equilibrium 2007 to 2010 with the G20. He fulfilled measure of creation in 12 celestial kingdoms and 53 godheads, at cost of $10.8 trillion. Born in family of patriots, martyrs and freedom fighters 1930 Indian Revolution the Talwar’s hail from Northwest Frontier Provinces, these Pathans who defend their motherland, the Khyber and Bolan passes from invasions 325 B.C. Alexander the Great, Genghis Khan 1200 A.D. first Anglo Afghan war in 1839-42 A.D. and ancestral heritage in wearing their name serving armies of Maharajah Ranjit Singh 1839 A.D.
Vikram Seth'S Captivating Book Is The Story Of A Century And Of A Love Affair Across A Racial Divide Shanti Behari Seth Was Born On The Eighth Day Of The Eighth Month In The Eighth Year Of The Twentieth Century; He Died Two Years Before Its Close. He Was Brought Up In India In The Late Years Of The Raj, And Was Sent By His Family In The 1930S To Berlin Though He Could Not Speak A Word Of German To Study Medicine And Dentistry. It Was Here, Before He Migrated To Britain, That Shanti'S Path First Crossed That Of His Future Wife. Henny Gerda Caro Was Also Born In 1908, In Berlin, To A Jewish Family, Cultured, Patriotic And Intensely German. When The Family Decided To Have Shanti As A Lodger, Henny S First Reaction Was, 'Don'T Take The Black Man!' But A Friendship Flowered, And When Henny Fled Hitler'S Germany For England, Just One Month Before The War Broke Out, She Was Met At Victoria Station By The Only Person She Knew In The Country: Shanti. Vikram Seth, Their Great-Nephew From India, Arrived In This Childless Couple'S Life As A Teenage Student. Now He Has Woven Together The Astonishing Story Of Shanti And Henny, And The Result Is An Extraordinary Tapestry Of India, The Third Reich And The Second World War, Auschwitz And The Holocaust, Israel And Palestine, Postwar Germany And 1970S Britain. Two Lives Is Both A History Of A Violent Country Seen Through The Eyes Of Two Survivors As Well As An Intimate Portrait Of Their Friendship, Marriage And Abiding Yet Complex Love. Part Biography, Part Memoir, Part Meditation On Our Times, This Is The True Tale Of Two Remarkable Lives A Masterful Telling From One Of Our Greatest Living Writers. Click Here To See Vikram Seth'S Microsite
The author tears into the false narrative of India’s progress since independence and the mirage of a glorious future, created by the political class and the bureaucracy. With facts, data, and a touching narration he reveals the plight of the poor and the unemployed through the decades. One of the most agonizing facts that he highlights is that since independence, India has fallen 100 places behind other countries in GDP per capita; and with Bangladesh overtaking India on this parameter, India is destined to remain the poorest large country in the world. The book illustrates how Indians have become hostage to a crippled system that is unable to deliver. Power brokers in the garb of politicians, entrenched bureaucracy driven by self-interest, ineffective judiciary, and elements of the fourth estate along with self-seeking pseudo-intellectuals have formed a powerful coalition to thwart any change in the system and policies which is essential for the transformation of India, initiated from time to time by some progressive governments. Based on his diagnosis of why India continues to fall by the wayside as also his insights into strategies, governance systems, and best practices of countries like South Korea, China, and others, the author evolves a framework for the strategic transformation of India to ‘Catch Up and Leapfrog’ these countries.
A fascinating look at the unique nature of mergers and acquisitions in Asia The Asian market is heating up, and both local and international firms are looking to get in on the mergers and acquisitions (M&As) that are poised to play a pivotal role in the restructuring of all manner of industries. This restructuring will increase competitiveness, but to make the most of it you need to understand why M&As in Asia are unique. With Asian Mergers and Acquisitions: Riding the Wave in hand, you have everything you need to do just that. Packed with invaluable information on how Asian M&As work, the book points to the fragmented nature of Asian countries, markets, and customers, the rise of Asian economies and firms, and the growth of cross-border business driven by the need for companies to gain access to markets, technologies, and brands as key elements for understanding the market. Lays out guiding principles for Asian M&As, including identifying the drivers for creating value, mitigating cultural differences, getting the best expertise in pre- and post-merger efforts, and more Contains everything investors need to know to understand coming changes in the Asian market Details how Asian M&As differ from those in other countries Providing clear insights into Asian mergers and acquisitions and their inner workings, including do's and don'ts for successful investment, this book is essential reading for anyone looking to cash in—or simply understand— the rapid growth of Asian industry.
This new release in the popular How to Do Everything series explains how to build open source web applications with MySQL and PHP 5. Using these two tools, you’ll be able to create highly functional, interactive web sites easily. Follow along with a step-by-step sample application and, as a bonus, download three full-length case studies complete with code trees.
This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually honed, with the help of “your turn” exercises. At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inference is illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods—generalized additive models and random forests (an important and versatile machine learning method)—are introduced intuitively with applications. The book will be of great interest to economists—students, teachers, and researchers alike—who want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively, while also equipping them with key data science skills.
This brief views the environment through diverse lenses – those of standard economics, institutional economics, political science, environmental science and ecology. Chapter 2 discusses diverse theoretical and statistical models – constrained optimization models, game theory, differential equations, and statistical models for causal inference – in a simple manner. Developing countries have certain distinct environmental problems – traditional pollution and traditional dependence on the commons. While chapters 3 and 4 discuss these specific problems, statistical graphs of the World Development Indicators explore the macro-context of developing countries in chapter 1. Chapter 5 examines ecological systems, which are nonlinear and unpredictable, and subject to sudden regime shifts. Chapter 6 deals with the global challenges of climate change and biological invasions. The last chapter discusses sustainable development and institutions. The brief explains these topics simply; mathematics is largely confined to an appendix. The broad treatment and simple exposition will appeal to students new to the field of economics. The extension of core economic models in diverse directions will also be of interest to economists looking for a different treatment of the subject.
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
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