Considering a graduate degree in economics? Good choice: the twenty-first-century financial crisis and recession have underscored the relevance of experts who know how the economy works, should work, and could work. However, Ph.D. programs in economics are extremely competitive, with a high rate of attrition and a median time of seven years to completion. Also, economic professions come in many shapes and sizes, and while a doctoral degree is crucial training for some, it is less beneficial for others. How do you know whether a Ph.D. in economics is for you? How do you choose the right program—and how do you get the right program to choose you? And once you've survived years of rigorous and specialized training, how do you turn your degree into a lifelong career and meaningful vocation?
Getting a Ph.D. in Economics is the first manual designed to meet the specific needs of aspiring and matriculating graduate students of economics. With the perspective of a veteran, Stuart J. Hillmon walks the reader though the entire experience—from the Ph.D. admissions process to arduous first-year coursework and qualifying exams to armoring up for the volatile job market. Hillmon identifies the pitfalls at each stage and offers no-holds-barred advice on how to navigate them. Honest, hard-hitting, and at times hilarious, this insider insight will equip students and prospective students with the tools to make the most of their graduate experience and to give them an edge in an increasingly competitive field.

Originally published over twenty-five years ago, "Micromotives and Macrobehavior" still feels fresh today. And the subject of these stories - how small and seemingly meaningless decisions and actions by individuals often lead to significant unintended consequences for a large group - is more important than ever. In one famous example, Thomas C. Schelling shows that a slight-but-not-malicious preference to have neighbours of the same race eventually leads to completely segregated populations. The updated edition contains a new preface and the author's Nobel Prize acceptance speech.

Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and Latin America improve health and schooling outcomes for poor women and children? Does a new road actually raise welfare in a remote area in Tanzania, or is it a 'highway to nowhere'?This book reviews quantitative methods and models of impact evaluation. It begins by reviewing the basic issues pertaining to an evaluation of an intervention to reach certain targets and goals. It then focuses on the experimental design of an impact evaluation, highlighting its strengths and shortcomings, followed by discussions on various non-experimental methods. The authors also cover methods to shed light on the nature and mechanisms by which different participants are benefiting from the program.For researchers interested in learning how to use these models with statistical software, the book also provides STATA exercises in the context of evaluating major microcredit programs in Bangladesh, such as the Grameen Bank. The framework presented in this book can be very useful for strengthening local capacity in impact evaluation among technicians and policymakers in charge of formulating, implementing, and evaluating programs to alleviate poverty and underdevelopment.

How much of our fate is tied to the status of our parents and grandparents? How much does this influence our children? More than we wish to believe. While it has been argued that rigid class structures have eroded in favor of greater social equality, The Son Also Rises proves that movement on the social ladder has changed little over eight centuries. Using a novel technique--tracking family names over generations to measure social mobility across countries and periods--renowned economic historian Gregory Clark reveals that mobility rates are lower than conventionally estimated, do not vary across societies, and are resistant to social policies. The good news is that these patterns are driven by strong inheritance of abilities and lineage does not beget unwarranted advantage. The bad news is that much of our fate is predictable from lineage. Clark argues that since a greater part of our place in the world is predetermined, we must avoid creating winner-take-all societies.
Clark examines and compares surnames in such diverse cases as modern Sweden, fourteenth-century England, and Qing Dynasty China. He demonstrates how fate is determined by ancestry and that almost all societies--as different as the modern United States, Communist China, and modern Japan--have similarly low social mobility rates. These figures are impervious to institutions, and it takes hundreds of years for descendants to shake off the advantages and disadvantages of their ancestors. For these reasons, Clark contends that societies should act to limit the disparities in rewards between those of high and low social rank.
Challenging popular assumptions about mobility and revealing the deeply entrenched force of inherited advantage, The Son Also Rises is sure to prompt intense debate for years to come.

David Romer's "Advanced Macroeconomics, 3e" is the standard text and the starting point for graduate macro courses, and helps lay the groundwork for students to begin doing research in macroeconomics and monetary economics. A series of formal models are used to present and analyze important macroeconomic theories. The theories are supplemented by examples of relevant empirical work, which illustrate the ways that theories can be applied and tested. This well-respected and well-known text is unique in the marketplace.

The second edition of this acclaimed graduate text provides a unified treatment of the analysis of two kinds of data structures used in contemporary econometric research: cross section data and panel data. The book covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particularly methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models, multinomial and ordered choice models, Tobit models and two-part extensions, models for count data, various censored and missing data schemes, causal (or treatment) effect estimation, and duration analysis. Control function and correlated random effects approaches are expanded to allow estimation of complicated models in the presence of endogeneity and heterogeneity.
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 sampling problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage of inverse probability weighting; a more complete framework for estimating treatment effects with assumptions concerning the intervention and different data structures, including 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.

Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.
Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.

What are the grand dynamics that drive the accumulation and distribution of capital? Questions about the long-term evolution of inequality, the concentration of wealth, and the prospects for economic growth lie at the heart of political economy. But satisfactory answers have been hard to find for lack of adequate data and clear guiding theories. In Capital in the Twenty-First Century, Thomas Piketty analyzes a unique collection of data from twenty countries, ranging as far back as the eighteenth century, to uncover key economic and social patterns. His findings will transform debate and set the agenda for the next generation of thought about wealth and inequality.
Piketty shows that modern economic growth and the diffusion of knowledge have allowed us to avoid inequalities on the apocalyptic scale predicted by Karl Marx. But we have not modified the deep structures of capital and inequality as much as we thought in the optimistic decades following World War II. The main driver of inequality—the tendency of returns on capital to exceed the rate of economic growth—today threatens to generate extreme inequalities that stir discontent and undermine democratic values. But economic trends are not acts of God. Political action has curbed dangerous inequalities in the past, Piketty says, and may do so again.
A work of extraordinary ambition, originality, and rigor, Capital in the Twenty-First Century reorients our understanding of economic history and confronts us with sobering lessons for today.

Winner of the 2011 Financial Times/Goldman Sachs Best Business Book of the Year Award
Billions of government dollars, and thousands of charitable organizations and NGOs, are dedicated to helping the world's poor. But much of their work is based on assumptions that are untested generalizations at best, harmful misperceptions at worst.
Abhijit Banerjee and Esther Duflo have pioneered the use of randomized control trials in development economics. Work based on these principles, supervised by the Poverty Action Lab, is being carried out in dozens of countries. Drawing on this and their 15 years of research from Chile to India, Kenya to Indonesia, they have identified wholly new aspects of the behavior of poor people, their needs, and the way that aid or financial investment can affect their lives. Their work defies certain presumptions: that microfinance is a cure-all, that schooling equals learning, that poverty at the level of 99 cents a day is just a more extreme version of the experience any of us have when our income falls uncomfortably low.
This important book illuminates how the poor live, and offers all of us an opportunity to think of a world beyond poverty.
Learn more at www.pooreconomics.com

This major new textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.

The only Intermediate Macroeconomics text to provide substantive content on the economic crisis. The current economic crisis is the worst since the Great Depression: the events themselves and the actions by the Fed and Treasury Department are equally unprecedented. Macroeconomics: Economic Crisis Update contains two brand-new chapters that directly address the crisis and present it in terms of the short-run models used in macroeconomics.

Product Description
David Romer’s Advanced Macroeconomics, 4e, continues its tradition as the standard text and the starting point for graduate macroeconomic courses and helps lay the groundwork for students to begin doing research in macroeconomics and monetary economics.
Formal models are used to present and analyze key ideas and issues.
The theoretical analysis is supplemented by examples of relevant empirical work, illustrating the ways that theories can be applied and tested. This well-respected and well-known text is unique in the marketplace.

A modern approach to macroeconomics. Williamson's Macroeconomics uses a thoroughly modern approach by showing readers how to build macroeconomic models from microeconomic principles. This approach helps to make the text consistent with the way macroeconomic research is conducted today. The fourth edition weaves the recent events of the financial crisis into the material.
MyLab或是Mastering系列是在线作业系统。Access Code Card是在线作业系统的访问码，是老师和学生课堂之外网络互动及交流的平台，个人是无法使用这个平台的。请读者注意您购买的这个ISBN是不带Access Code Card的。

Your classic advanced microeconomic theory textbook delivering rigorous coverage of modern microeconomics.

This rigorous, up-to-date text on modern microeconomic theory presents all of the core mathematics, neoclassical theory, game theory, and information economics needed to access the modern professional literature. Complex theory is patiently and carefully developed, then clearly explained and illustrated because even well-prepared students benefit from additional math help. Careful explanations, efficient theorem-proof organization, and many examples and exercises make this a uniquely effective text for advanced courses. Students will appreciate the clear writing and accessible style.

Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory. Unlike other mathematics textbooks for economics, "An Introduction to Mathematical Analysis for Economic Theory and Econometrics" takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics. Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra. It begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers. It takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem. It focuses on examples from econometrics to explain topics in measure theory.

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.

Imagine each family as a kind of little factory--a multiperson unit producing meals, health, skills, children, and self-esteem from market goods and the time, skills, and knowledge of its members. This is only one of the remarkable concepts explored by Gary Becker in his landmark work on the family. Becker applies economic theory to the most sensitive and fateful personal decisions, such as choosing a spouse or having children. He uses the basic economic assumptions of maximizing behavior, stable preferences, arid equilibria in explicit or implicit markets to analyze the allocation of time to child care as well as to careers, to marriage and divorce in polygynous as well as monogamous societies, to the increase and decrease of wealth from one generation to another. The consideration of the family from this perspective has profound theoretical and practical implications. For example, Becker's analysis of assortative mating can be used to study matching processes generally. Becker extends the powerful tools of economic analysis to problems once considered the province of the sociologist, the anthropologist, and the historian. The obligation of these scholars to take account of his work thus constitutes an important step in the unification of the social sciences. "A Treatise on the Family" will have an impact on public policy as well. Becker shows that social welfare programs have significant effects on the allocation of resources within families. For example, social security taxes tend to reduce the amount of resources children give to their aged parents. The implications of these findings are obvious and far-reaching. With the publication of this extraordinary book, the family moves to the forefront of the research agenda in the social sciences.