In this novel introduction to modern microeconomic theory, Samuel Bowles returns to the classical economists' interest in the wealth and poverty of nations and people, the workings of the institutions of capitalist economies, and the coevolution of individual preferences and the structures of markets, firms, and other institutions. Using recent advances in evolutionary game theory, contract theory, behavioral experiments, and the modeling of dynamic processes, he develops a theory of how economic institutions shape individual behavior, and how institutions evolve due to individual actions, technological change, and chance events. Topics addressed include institutional innovation, social preferences, nonmarket social interactions, social capital, equilibrium unemployment, credit constraints, economic power, generalized increasing returns, disequilibrium outcomes, and path dependency.
Each chapter is introduced by empirical puzzles or historical episodes illuminated by the modeling that follows, and the book closes with sets of problems to be solved by readers seeking to improve their mathematical modeling skills. Complementing standard mathematical analysis are agent-based computer simulations of complex evolving systems that are available online so that readers can experiment with the models. Bowles concludes with the time-honored challenge of "getting the rules right," providing an evaluation of markets, states, and communities as contrasting and yet sometimes synergistic structures of governance. Must reading for students and scholars not only in economics but across the behavioral sciences, this engagingly written and compelling exposition of the new microeconomics moves the field beyond the conventional models of prices and markets toward a more accurate and policy-relevant portrayal of human social behavior.

A cutting-edge introduction to key topics in modern economic theory for first-year graduate students in economics and related fields

Volume II of Microeconomic Foundations introduces models and methods at the center of modern microeconomic theory. In this textbook, David Kreps, a leading economic theorist, emphasizes foundational material, concentrating on seminal work that provides perspective on how and why the theory developed. Because noncooperative game theory is the chief tool of modeling and analyzing microeconomic phenomena, the book stresses the applications of game theory to economics. And throughout, it underscores why theory is most useful when it supports rather than supplants economic intuition.

The Theory of Industrial Organization is the first primary text to treat the new industrial organization at the advanced-undergraduate and graduate level. Rigorously analytical and filled with exercises coded to indicate level of difficulty, it provides a unified and modern treatment of the field with accessible models that are simplified to highlight robust economic ideas while working at an intuitive level.To aid students at different levels, each chapter is divided into a main text and supplementary section containing more advanced material. Each chapter opens with elementary models and builds on this base to incorporate current research in a coherent synthesis.Tirole begins with a background discussion of the theory of the firm. In part I he develops the modern theory of monopoly, addressing single product and multi product pricing, static and intertemporal price discrimination, quality choice, reputation, and vertical restraints.In part II, Tirole takes up strategic interaction between firms, starting with a novel treatment of the Bertrand-Cournot interdependent pricing problem. He studies how capacity constraints, repeated interaction, product positioning, advertising, and asymmetric information affect competition or tacit collusion. He then develops topics having to do with long term competition, including barriers to entry, contestability, exit, and research and development. He concludes with a "game theory user's manual" and a section of review exercises.Jean Tirole is a Professor of Economics at MIT

The past twenty years have seen great theoretical and empirical advances in the field of corporate finance. Whereas, once the subject addressed mainly the financing of corporations - equity, debt, and valuation - today it also embraces crucial issues of governance, liquidity, risk management, relationships between banks and corporations, and the macroeconomic impact of corporations. However, this progress has left in its wake a jumbled array of concepts and models that students are often hard put to make sense of. Here, one of the world's leading economists offers a lucid, unified, and comprehensive introduction to modern corporate finance theory. Jean Tirole builds his landmark book around a single model, using an incentive or contract theory approach. Filling a major gap in the field, "The Theory of Corporate Finance" is an indispensable resource for graduate and advanced undergraduate students as well as researchers of corporate finance, industrial organization, political economy, development, and macroeconomics. Tirole conveys the organizing principles that structure the analysis of today's key management and public policy issues, such as the reform of corporate governance and auditing; the role of private equity, financial markets, and takeovers; the efficient determination of leverage, dividends, liquidity, and risk management; and the design of managerial incentive packages. He weaves empirical studies into the book's theoretical analysis. And he places the corporation in its broader environment, both microeconomic and macroeconomic, and examines the two-way interaction between the corporate environment and institutions. Setting a new milestone in the field, "The Theory of Corporate Finance" will be the authoritative text for years to come.

投入产出技术是一种应用性非常强的数量经济分析工具，在社会经济问题的诸多方面得到广泛应用。《中国科学院规划教材:投入产出技术》详细介绍了投入产出分析的基本原理和模型，并在此基础上对当前一些应用较多的投入产出扩展模型进行了介绍，如：投入占用产出模型、对外贸易投入产出模型、能源投入产出模型、地区间投入产出模型等。《中国科学院规划教材:投入产出技术》采用了从理论到实践的组织方式，在介绍具体的分析方法的同时还重点介绍了投入产出技术在对外贸易、资源环境、农业发展等当前热点问题上成功应用的案例，便于读者对投入产出技术的理解与应用。

This edition of Ronald Miller and Peter Blair's classic textbook is an essential reference for students and scholars in the input-output research and applications community. The book has been fully revised and updated to reflect important developments in the field since its original publication. New topics covered include SAMs (and extended input-output models) and their connection to input-output data, structural decomposition analysis (SDA), multiplier decompositions, identifying important coefficients, and international input-output models. A major new feature of this edition is that it is also supported by an accompanying website with solutions to all problems, wide-ranging real-world data sets, and appendices with further information for more advanced readers. Input-Output Analysis is an ideal introduction to the subject for advanced undergraduate and graduate students in a wide variety of fields, including economics, regional science, regional economics, city, regional and urban planning, environmental planning, public policy analysis and public management.

《国民账户体系(2008)》主要收录了存量、流量和核算规则、机构单位和部门、企业、基层单位和产业、生产账户、附录从持有损益中分离出仓储所致产出、收入初次分配账户、收入再分配账户、收入使用账户、资本账户、金融账户、资产其他变化账户、资产负债表、价格和物量核算等内容。

宏观经济和每个人的生活息息相关，宏观数据是观察经济运行的窗口，也是分析经济形势的根基。但很多耳熟能详的宏观数据，多数人对它的统计方法、指标间的关系以及如何分析，理解并不透彻，以此为基础做宏观研究也易出现偏差。本书作者长期在金融机构做宏观研究，以实用和有价值”为导向，对常用宏观数据做系统和深度的分析，语言简洁、通俗易懂。
全书一共分为14章，分别从GDP、工业数据、固定资产投资基建、房地产投资、制造业投资、消费、进出口、物价、金融数据PMI、外汇数据、财政数据角度展开了深入浅出的分析，有的还有具体案例分析。本书受众面极广，可以作为金融从业者、高校教师和学生以及其他宏观感兴趣者的枕边书，成为他们掌握更高阶应用宏观知识的敲门砖。

本书为DSGE 领域入门级专著，讲述了DSGE 模型的基本建模理论和求解逻辑，并示例如何在Dynare 中加以实现。DSGE 的基本建模理论涵盖了经典的RBC 模型、新古典模型、RBC 模型的拓展(MIU、CIA)、新凯恩斯模型和中等规模DSGE 模型，并着重介绍了税收设定、可变资本利用率、投资调整成本、投资边际效率冲击、金融加速器机制、开放经济建模、利率钉住、两种定义下的最优货币政策和DSGE 中微观福利度量方法等问题。DSGE 的求解逻辑涵盖了一阶( 线性化、B&K 方法、Schur 方法和待定系数法) 和二阶的扰动算法、脉冲响应的计算、随机模拟和确定性模拟、最大似然和贝叶斯参数估计及其逻辑。此外，对Dynare 的安装、使用、编译逻辑、语法表示、使用技巧和错误排除等也进行了详细介绍并加以示例。
本书最大的特点就是理论密切联系实践。在讲述DSGE 理论的同时，辅以大量的模型示例来讲述求解过程和一阶条件，并在Matlab 和Dynare 中加以编程实现，并提供每个模型甚至每个图形对应的mod 文件和Matlab 源代码，使得读者知其然，更知其所以然。另外，本书在讲述建模理论的同时，注重分析其经济含义与背景，帮助读者建立经济学直觉。如在讲解MIU 建模理论时，将其和著名的费雪货币数量理论相结合加以论述；在讲解CIA 建模理论时，将其和弗里德曼规则相联系。此书中的专业术语注重英文再现，帮助初学者准确把握概念。虽然本书定位于DSGE 领域入门级学习资料，但目标读者群并不仅限于宏观经济学专业的学生( 如高年级本科生、硕士和博士研究生)。对于那些从事宏观经济研究的学者，特别是对DSGE 建模理论不甚熟悉的学者，以及银行、政府、企事业单位等相关研究机构的宏观经济研究人员，本书同样适用。

Lectures on Macroeconomics provides the first comprehensive description and evaluation of macroeconomic theory in many years. While the authors' perspective is broad, they clearly state their assessment of what is important and what is not as they present the essence of macroeconomic theory today.The main purpose of Lectures on Macroeconomics is to characterize and explain fluctuations in output, unemployment and movement in prices. The most important fact of modern economic history is persistent long term growth, but as the book makes clear, this growth is far from steady. The authors analyze and explore these fluctuations.Topics include consumption and investment; the Overlapping Generations Model; money; multiple equilibria, bubbles, and stability; the role of nominal rigidities; competitive equilibrium business cycles, nominal rigidities and economic fluctuations, goods, labor and credit markets; and monetary and fiscal policy issues. Each of chapters 2 through 9 discusses models appropriate to the topic. Chapter 10 then draws on the previous chapters, asks which models are the workhorses of macroeconomics, and sets the models out in convenient form. A concluding chapter analyzes the goals of economic policy, monetary policy, fiscal policy, and dynamic inconsistency.Written as a text for graduate students with some background in macroeconomics, statistics, and econometrics, Lectures on Macroeconomics also presents topics in a self contained way that makes it a suitable reference for professional economists.Olivier Jean Blanchard and Stanley Fischer are both Professors of Economics at MIT.

This graduate level text on economic growth surveys neoclassical and more recent growth theories, stressing their empirical implications and the relation of theory to data and evidence. The authors have undertaken a major revision for the long-awaited second edition of this widely used text, the first modern textbook devoted to growth theory. The book has been expanded in many areas and incorporates the latest research.After an introductory discussion of economic growth, the book examines neoclassical growth theories, from Solow-Swan in the 1950s and Cass-Koopmans in the 1960s to more recent refinements; this is followed by a discussion of extensions to the model, with expanded treatment in this edition of heterogenity of households. The book then turns to endogenous growth theory, discussing, among other topics, models of endogenous technological progress (with an expanded discussion in this edition of the role of outside competition in the growth process), technological diffusion, and an endogenous determination of labor supply and population. The authors then explain the essentials of growth accounting and apply this framework to endogenous growth models. The final chapters cover empirical analysis of regions and empirical evidence on economic growth for a broad panel of countries from 1960 to 2000. The updated treatment of cross-country growth regressions for this edition uses the new Summers-Heston data set on world income distribution compiled through 2000.

Introduction to Modern Economic Growth is a groundbreaking text from one of today's leading economists. Daron Acemoglu gives graduate students not only the tools to analyze growth and related macroeconomic problems, but also the broad perspective needed to apply those tools to the big-picture questions of growth and divergence. And he introduces the economic and mathematical foundations of modern growth theory and macroeconomics in a rigorous but easy to follow manner. After covering the necessary background on dynamic general equilibrium and dynamic optimization, the book presents the basic workhorse models of growth and takes students to the frontier areas of growth theory, including models of human capital, endogenous technological change, technology transfer, international trade, economic development, and political economy. The book integrates these theories with data and shows how theoretical approaches can lead to better perspectives on the fundamental causes of economic growth and the wealth of nations. Innovative and authoritative, this book is likely to shape how economic growth is taught and learned for years to come. Introduces all the foundations for understanding economic growth and dynamic macroeconomic analysis Focuses on the big-picture questions of economic growth Provides mathematical foundations Presents dynamic general equilibrium Covers models such as basic Solow, neoclassical growth, and overlapping generations, as well as models of endogenous technology and international linkages Addresses frontier research areas such as international linkages, international trade, political economy, and economic development and structural change An accompanying Student Solutions Manual containing the answers to selected exercises will be available Spring 2009 (978-0-691-14163-3/$24.95). See: http://press.princeton.edu/titles/8970.html. For Professors only: To access a complete solutions manual online, email us at: acemoglusolutions@press.princeton.edu

This rigorous but brilliantly lucid book presents a self-contained treatment of modern economic dynamics. Stokey, Lucas, and Prescott develop the basic methods of recursive analysis and illustrate the many areas where they can usefully be applied. After presenting an overview of the recursive approach, the authors develop economic applications for deterministic dynamic programming and the stability theory of first-order difference equations. They then treat stochastic dynamic programming and the convergence theory of discrete-time Markov processes, illustrating each with additional economic applications. They also derive a strong law of large numbers for Markov processes. Finally, they present the two fundamental theorems of welfare economics and show how to apply the methods developed earlier to general equilibrium systems. The authors go on to apply their methods to many areas of economics. Models of firm and industry investment, household consumption behavior, long-run growth, capital accumulation, job search, job matching, inventory behavior, asset pricing, and money demand are among those they use to show how predictions can he made about individual and social behavior. Researchers and graduate students in economic theory will find this book essential.

Probability and Statistics have been widely used in various fields of science, including economics. Like advanced calculus and linear algebra, probability and statistics are indispensable mathematical tools in economics. Statistical inference in economics, namely econometric analysis, plays a crucial methodological role in modern economics, particularly in empirical studies in economics.
This textbook covers probability theory and statistical theory in a coherent framework that will be useful in graduate studies in economics, statistics and related fields. As a most important feature, this textbook emphasizes intuition, explanations and applications of probability and statistics from an economic perspective.

Modern economies are full of uncertainties and risk. Economics studies resource allocations in an uncertain market environment. As a generally applicable quantitative analytic tool for uncertain events, probability and statistics have been playing an important role in economic research. Econometrics is statistical analysis of economic and financial data. In the past four decades or so, economics has witnessed a so-called "empirical revolution" in its research paradigm, and as the main methodology in empirical studies in economics, econometrics has been playing an important role. It has become an indispensable part of training in modern economics, business and management.
This book develops a coherent set of econometric theory, methods and tools for economic models. It is written as a textbook for graduate students in economics, business, management, statistics, applied mathematics, and related fields. It can also be used as a reference book on econometric theory by scholars who may be interested in both theoretical and applied econometrics.

《经济学、管理学类研究生教学用书:高级计量经济学及Stata应用(第二版)》较多地借鉴了现代计量经济学的最新发展，内容全面，除了介绍传统的横截面数据外，对面板数据（含长面板、动态面板、非线性面板）、时间序列（含VAR、单位根、协整）、自然实验、重复截面数据、GMM、自助法、蒙特卡罗法、分位数回归、门限回归、非参数估计、处理效应、空间计量、久期分析、贝叶斯估计等均做了较深入的分析。此书力图以生动的语言、较多的插图与经济意义来直观地解释计量方法，而又不失数学的严谨性。同时，结合目前欧美最为流行的Stata计量软件，及时地介绍相应的Stata命令与实例，为读者提供“一站式”服务。此书适合普通高等学校经济学、管理学类或社科类硕士生、博士生与研究人员使用。为便于读者学习高级计量经济学，《经济学、管理学类研究生教学用书:高级计量经济学及Stata应用(第二版)》在内容安排上，假设读者已经学过微积分、线性代数与概率统计，但不要求学过本科阶段的计量经济学（学讨百好）。

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.

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.
In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.
* An irreverent review of econometric essentials
* A focus on tools that applied researchers use most
* Chapters on regression-discontinuity designs, quantile regression, and standard errors
* Many empirical examples
* A clear and concise resource with wide applications

An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences
Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists—who generally can’t run controlled experiments to test and validate their hypotheses—apply these tools to observational data to make connections. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied, whether the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the introduction of malaria nets in developing regions on economic growth. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and Stata programming languages.