Aggregate Comparative Statics
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Conditional Comparative Statics
Conditional Comparative Statics James A. Robinsony Ragnar Torvikz August 15, 2010 Abstract Why was the Black Death followed by the decline of serfdom in Western Europe but its’ intensi…cation in Eastern Europe? What explains why involvement in Atlantic trade in the Early Modern pe- riod was positively correlated with economic growth in Britain but negatively correlated in Spain? Why did frontier expansion in the 19th Century Americas go along with economic growth in the United States and economic decline in Latin America? Why do natural re- source booms seem to stimulate growth in some countries, but lead to a ‘curse’in others, and why does foreign aid sometimes seem to encour- age, other times impede economic growth? In this paper we argue that the response of economies to shocks or innovations in economic oppor- tunities depends on the nature of institutions. When institutions are strong, new opportunities or windfalls can have positive e¤ects. But when institutions are weak they can have negative e¤ects. We present a simple model to illustrate how comparative statics are conditional on the nature of institutions and show how this perspective helps to unify a large number of historical episodes and empirical studies. Keywords: JEL: Paper prepared for the 2010 World Congress of the Econometic Society. We are grateful to Marco Battaglini for his incisive comments. yHarvard University, Department of Government and Institute for Quanti- tative Social Science, 1737 Cambridge St., Cambridge MA02138. E-mail: [email protected]. zNorwegian University of Science and Technology, Department of Economics, Dragvoll, N-7491 Trondheim, Norway. -
Robust Comparative Statics Susan Athey, Paul Milgrom, and John Roberts
Robust Comparative Statics Susan Athey, Paul Milgrom, and John Roberts DRAFT ONLY - DO NOT CITE OR CIRCULATE Comments Welcome This Draft: October, 1998 OUTLINE Chapter 0: Introduction. Part I: Univariate Optimization Problems Chapter 1: An Introduction to the Theory. Chapter 2: Single Variable Problems with Separable Contexts. Chapter 3: Single Variable Problems with non-Separable Contexts. Part II: Multivariate Optimization Problems. Chapter 4: Multivariate Comparative Statics on Product Sets. Chapter 5: Elementary Lattice Theory and Comparative Statics on Lattices. Part III: Stochastic Optimization Problems. Chapter 6: Supermodularity and monotonicity. Chapter 7: Log-Supermodularity. Chapter 8: Single Crossing Properties. Part IV: Equilibrium Models. Chapter 9: One dimensional models. Chapter 10: Multidimensional models. Chapter 11: Conclusion. 2 0 Introduction This monograph describes a new approach to comparative statics analysis that has developed rapidly in the past several years. Comparative statics – the study of how the solutions of an economic model change as the model parameters and specification are changed – is important because (1) most of the testable predictions of economic theory are comparative statics predictions and (2) many economic equilibrium analyses are built from comparative statics analyses of the model’s components. The results of comparative statics analyses thus form the basis for much of our understanding of the behavior of the economy. Comparative statics predictions can be qualitative or quantitative, but the focus of the new methods is on the former. Typical examples of qualitative predictions include assertions that increasing employment taxes or a minimum wage will increase unemployment, or that relaxing trade restrictions will cause industrial pollution to fall in developed countries and rise in less developed ones. -
Capitalist Spirit and the Markets: Why Income Inequality Matters
School of Business Economics Division Capitalist Spirit and the Markets: Why Income Inequality Matters Aristotelis Boukouras, University of Leicester Working Paper No. 16/16 Capitalist Spirit and the Markets: Why Income Inequality Matters Aristotelis Boukouras∗ October 30, 2016 Abstract I develop a simple static general equilibrium model with capitalist-spirit prefer- ences and prices set by firm owners (entrepreneurs). The model’s pure symmetric Nash equilibria differ markedly from the canonical model: (i) A positive output gap and unemployment may emerge in equilibrium, despite the absence of price rigidities or information asymmetries. (ii) Income and wealth inequality affect equilibrium prices and employment. (iii) The model generates ambiguous com- parative statics. Specifically, an increase in inequality of either type may reduce employment and increase the output gap of the economy, while productivity re- ductions may have the opposite effect. As a result, minimum wage policies may increase employment. These results provide some justification for a number of arguments used in public debates. Keywords: capitalist spirit, general equilibrium, income distribution, income inequal- ity, minimum wage, output gap, unemployment, wealth distribution, wealth inequality JEL Classification: D31, D63, E24, E25 ∗University of Leicester, AC206, Astely Clarke Building, University Road 1, LE1 7RH, Leicester, UK, email: [email protected] 1 1 Introduction Many western economies, including US, UK and the European Union, suffer from weak growth, low inflation and extremely low, or even negative, interest rates in the aftermath of the Great Recession. Summers (2014a, 2014b) calls this phenomenon “secular stagna- tion” and many economists agree that it is a result of weak aggregate demand (Summers, 2014a). -
Global Comparative Statics in General Equilibrium: Model Building from Theoretical Foundations
Global Comparative Statics in General Equilibrium: model building from theoretical foundations James R. Markusen Department of Economics University of Colorado, Boulder Abstract International trade economists made seminal contributions to general equilibrium theory, moving away from an emphasis on existence of equilibrium to algebraic formulations which enabled us to characterize key relationships between parameters and variables, such as that between tariffs and domestic factor prices and welfare. But the analysis remained limited in value for policy evaluation: the analysis was local, it provided only qualitative results, it was limited to very small models, and strictly interior solutions had to be assumed. The contribution of this paper is pedagogic and methodological, providing a primer for those wishing to do or teach general- equilibrium counterfactuals on computable general-equilibrium (CGE) or structural econometric models. I show how the tools from early local comparative statics analyses can be generalized via the use of Shepard’s lemma, duality, complementarity and the Karush-Kuhn-Tucker theorem into a global, quantitative analysis of large changes in high-dimension models which also allows for regime changes and corner solutions. I then show how the resulting non-linear complementarity problem directly translates into a numerical model using GAMS (general algebraic modeling system). The paper concludes with two examples: (a) comparison of a tax versus a real trade/transactions cost, (b) comparison of a tax versus a quantitative restriction such as a quota or license. Keywords: duality, complementarity, KKT conditions, global comparative statics, corner solutions, GAMS JEJ codes: F23, D50, D58 This paper is a re-orientated and much expanded version of a paper prepared for a special issue of the International Journal of Economic Theory in honor of Ronald W. -
Bounded Rationality in Keynesian Beauty Contests: a Lesson for Central Bankers?
Discussion Paper No. 2019-53 | November 06, 2019 | http://www.economics-ejournal.org/economics/discussionpapers/2019-53 Please cite the corresponding Journal Article at http://www.economics-ejournal.org/economics/journalarticles/2020-16 Bounded rationality in Keynesian beauty contests: a lesson for central bankers? Felix Mauersberger, Rosemarie Nagel, and Christoph Bühren Abstract The goal of this paper is to show how adding behavioral components to micro-foundated models of macroeconomics may contribute to a better understanding of real world phenomena. The authors introduce the reader to variations of the Keynesian Beauty Contest (Keynes, The General Theory of Employment, Interest, and Money, 1936), theoretically and experimentally with a descriptive model of behavior. They bridge the discrepancies of (benchmark) solution concepts and bounded rationality through step-level reasoning, the so-called level-k or cognitive hierarchy models. These models have been recently used as building blocks for new behavioral macro theories to understand puzzles like the lacking rise of inflation after the financial crisis, the effectiveness of quantitative easing, the forward guidance puzzle and the effectiveness of temporary fiscal expansion. (Published in Special Issue Bio-psycho-social foundations of macroeconomics) JEL E12 E13 E7 D80 D9 C91 Keywords Beauty contest game; expectation formation; equilibration; level-k reasoning; macroeconomics; game theory; experimental economics Authors Felix Mauersberger, University of Bonn, Germany Rosemarie Nagel, ICREA-UPF Barcelona GSE, Spain, [email protected] Christoph Bühren, TU Clausthal, Germany Citation Felix Mauersberger, Rosemarie Nagel, and Christoph Bühren (2019). Bounded rationality in Keynesian beauty contests: a lesson for central bankers? Economics Discussion Papers, No 2019-53, Kiel Institute for the World Economy. -
Aggregative Oligopoly Games with Entry1
Aggregative Oligopoly Games with Entry1 Simon P. Anderson2, Nisvan Erkal3 and Daniel Piccinin4 First version: November 2009 This version: December 2016 1We thank David Byrne, Chris Edmond, Maxim Engers, Daniel Halbheer, Joe Harring- ton, Simon Loertscher, Phil McCalman, Claudio Mezzetti, Volker Nocke, Martin Peitz, Frank Stähler, Jidong Zhou, and especially Richard Cornes for comments and discussion. We also thank seminar participants at the Federal Trade Commission, Johns Hopkins Uni- versity, New York University, National University of Singapore, University of Mannheim, and conference participants at the Australian National University (Workshop in Honor of Richard Cornes), North American Winter Meeting of the Econometric Society (2013), Australasian Economic Theory Workshop (2011), EARIE (2010), Université Catholique de Louvain (Conference in Honor of Jacques Thisse) for their comments. Imogen Halstead, Jingong Huang, Boon Han Koh, Charles Murry, and Yiyi Zhou have provided excellent research assistance. The …rst author thanks National Science Foundation (0752923) for …nancial support and the Department of Economics at the University of Melbourne for its hospitality. The second author gratefully acknowledges funding from the Australian Research Council (DP0987070). 2Department of Economics, University of Virginia P.O. Box 400182, Charlottesville, VA 22904-4182, USA. [email protected]. 3Department of Economics, University of Melbourne, VIC 3010, Australia. [email protected]. 4Brick Court Chambers, 7-8 Essex Street, London, WC2R 3LD, United Kingdom. [email protected]. Abstract We compile an IO toolkit for aggregative games and use inclusive best reply functions to show strong neutrality properties for long-run equilibria across market structures. The IIA property of demand functions (CES and logit) implies that consumer surplus depends on the aggregate alone, and the Bertrand pricing game is aggregative. -
Comparative Statics and Heterogeneity
Towson University Department of Economics Working Paper Series Working Paper No. 2016-01 Comparative Statics and Heterogeneity by Finn Christensen October, 2016 © 2016 by Author. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Comparative Statics and Heterogeneity Finn Christensen Towson University October 7, 2016 Abstract This paper elucidates the role played by the heterogeneity of interactions between the endogenous variables of a model in determining the model’sbehav- ior. It is known that comparative statics are well-behaved if these interactions are relatively small, but the formal condition imposed on the Jacobian which typically captures this idea–diagonaldominance–ignores the distribution of the interaction terms. I provide a new condition on the Jacobian–mean positive dominance–which better captures a trade-o¤ between the size and heterogeneity of interaction terms. In accord with Samuelson’s(1947) correspondence princi- ple, I also show that mean positive dominance yields stability and uniqueness results. Applications are provided to optimization problems, di¤erentiable games, and competitive exchange economies. Keywords: comparative statics, heterogeneity, mean positive dominance, correspondence principle, B matrix, stability, uniqueness, optimization, dif- ferentiable games, Cournot oligopoly, general equilibrium JEL Classi…cation: D11 1 Introduction Comparative statics analysis is complicated by interactions between endogenous vari- ables. To see this, consider a game-theoretic context where the total equilibrium e¤ect of a positive shock on a player’s action can be decomposed into a partial e¤ect and an interactions e¤ect. The partial e¤ect is the increase in the player’saction holding constant all other players’actions. -
Aggregative Oligopoly Games with Entry1
Aggregative Oligopoly Games with Entry1 Simon P. Anderson2, Nisvan Erkal3 and Daniel Piccinin4 First version: November 2009 This version: February 2016 1We thank David Byrne, Chris Edmond, Maxim Engers, Daniel Halbheer, Joe Harring- ton, Simon Loertscher, Phil McCalman, Claudio Mezzetti, Volker Nocke, Martin Peitz, Frank Stähler, Jidong Zhou, and especially Richard Cornes for comments and discussion. We also thank seminar participants at the Federal Trade Commission, Johns Hopkins Uni- versity, New York University, National University of Singapore, University of Mannheim, and conference participants at Université Catholique de Louvain (Conference in Honor of Jacques Thisse), EARIE (2010), Australasian Economic Theory Workshop (2011), North American Winter Meeting of the Econometric Society (2013) for their comments. Imogen Halstead, Boon Han Koh, Charles Murry, and Yiyi Zhou have provided excellent research assistance. The …rst author thanks National Science Foundation (0752923) for …nancial support and the Department of Economics at the University of Melbourne for its hospi- tality. The second author gratefully acknowledges funding from the Australian Research Council (DP0987070). 2Department of Economics, University of Virginia P.O. Box 400182, Charlottesville, VA 22904-4182, USA. [email protected]. 3Department of Economics, University of Melbourne, VIC 3010, Australia. [email protected]. 4Brick Court Chambers, 7-8 Essex Street, London, WC2R 3LD, United Kingdom. [email protected]. Abstract We compile an IO toolkit for aggregative games and use inclusive best reply func- tions to compare long-run market structures. We show strong neutrality properties across market structures. The IIA property of demands (CES and logit) implies that consumer surplus depends on the aggregate alone, and the Bertrand pricing game is aggregative. -
Economics, Finance and Real Estate School of Business Montclair State University
Department of Economics, Finance and Real Estate School of Business Montclair State University ECON 317 Course Outline Instructor: Ram Sewak Dubey Spring 2016 Office Hours: M W 1-2 pm, M 6-7pm Office: 553, School of Business Phone: 973-655-7778 Email: [email protected] Lecture Schedule: M W 10-11:15 am Location: School of Business 011 I COURSE NUMBER: ECON 317 II COURSE NAME: Elementary Mathematical Techniques for Economics III CREDIT HOURS: 3 Semester Hours IV PREREQUISITE: ECON 206 / ECON 207 and ECON 208; OR permission of the Depart- ment V CATALOG DESCRIPTION OF THE COURSE: Introduction to elementary concepts of mathematics used in economics. Formulation of economic theory in mathematical language. Application of optimization techniques in economic models. VI AIMS OF THE COURSE: The principal objective of this course is to gain facility in ap- plying the mathematical techniques to economic analysis. VII COURSE LEARNING GOALS: After completion of this course students will be able to A. learn the basic mathematical methods that have become indispensable for a proper under- standing of the current economic literature. B. describe economic / market outcomes commonly observed in mathematical model and solve for the observable variables in terms of the parameters / fundamentals of the model. C. analyze, both qualitatively and quantitatively, how the market outcomes will change when there is a change in the fundamentals of the economy. D. solve for the values of the decision variables in the optimization exercises faced by the individuals (consumers) and firms. 1 E. be better prepared for the required ECON 420 Applied Econometrics and ECON 438 Advanced Seminar in Economics courses. -
Aggregative Oligopoly Games with Entry1
Aggregative Oligopoly Games with Entry1 Simon P. Anderson2, Nisvan Erkal3 and Daniel Piccinin4 First version: November 2009 This version: January 2014 1We thank Maxim Engers, Daniel Halbheer, Joe Harrington, Simon Loertscher, Clau- dio Mezzetti, Volker Nocke, Frank Stähler, Jidong Zhou, and especially Richard Cornes for comments and discussion. We also thank seminar participants at the Federal Trade Commis- sion, Johns Hopkins University, University of Mannheim, National University of Singapore, and conference participants at Université Catholique de Louvain (Conference in Honor of Jacques Thisse), EARIE (2010), Australasian Economic Theory Workshop (2011), North American Winter Meeting of the Econometric Society (2013) for their comments. Imogen Halstead, Charles Murry, and Yiyi Zhou have provided excellent research assistance. The …rst author thanks National Science Foundation (0752923) for …nancial support and the Department of Economics at the University of Melbourne for its hospitality. The second author gratefully acknowledges funding from the Australian Research Council (DP0987070). 2Department of Economics, University of Virginia P.O. Box 400182, Charlottesville, VA 22904-4182, USA. [email protected]. 3Department of Economics, University of Melbourne, VIC 3010, Australia. [email protected]. 4Brick Court Chambers, 7-8 Essex Street, London, WC2R 3LD, United Kingdom. [email protected]. Abstract We compile an IO toolkit for aggregative games and use inclusive reaction functions to compare long-run market structures in aggregative oligopoly games. We show strong neutrality properties across market structures. The IIA property of demands (CES and logit) implies that consumer surplus depends on the aggregate alone, and that the Bertrand pricing game is aggregative. We link together the following results: merging parties’pro…ts fall but consumer surplus is unchanged, Stackelberg leadership raises welfare, monopolistic competition is the market structure with the highest surplus. -
Math Handout
ECONOMICS 100A MATHEMATICAL HANDOUT Fall 2003 α abd β abc γ abc µ abc Mark Machina A. CALCULUS REVIEW1 Derivatives, Partial Derivatives and the Chain Rule You should already know what a derivative is. We’ll use the expressions ƒ6(x) or dƒ(x)/dx for the derivative of the function ƒ(x). To indicate the derivative of ƒ(x) evaluated at the point x = x*, we’ll use the expressions ƒ6(x*) or dƒ(x*)/dx. When we have a function of more than one variable, we can consider its derivatives with respect to each of the variables, that is, each of its partial derivatives. We use the expressions: ∂ƒ(x1,x2)/∂x1 and ƒ1(x1,x2) interchangeably to denote the partial derivative of ƒ(x1,x2) with respect to its first argument (that is, with respect to x1). To calculate this, just hold x2 fixed (treat it as a constant) so that ƒ(x1,x2) may be thought of as a function of x1 alone, and differentiate it with respect to x1. The notation for partial derivatives with respect to x2 (or in the general case, with respect to xi) is analogous. 2 For example, if ƒ(x1,x2) = x1 ⋅x2 + 3x1, we have: 2 ∂ƒ(x1,x2)/∂x1 = 2x1·x2 + 3 and ∂ƒ(x1,x2)/∂x2 = x1 The normal vector of a function ƒ(x1,...,xn) at the point (x1,...,xn) is just the vector (i.e., ordered list) of its n partial derivatives at that point, that is, the vector: ⎛⎞∂∂ƒ(xx11 ,...,nn ) ƒ( xx ,..., ) ∂ ƒ( xx 1 ,..., n ) ⎜⎟, ,...,= () ƒ11 (x ,...,xxxnnnn ), ƒ 21 ( ,..., ),..., ƒ ( xx 1 ,..., ) ⎝⎠∂∂xx12 ∂ xn Normal vectors play a key role in the conditions for unconstrained and constrained optimization. -
ECON2285: Mathematical Economics
ECON2285: Mathematical Economics Yulei Luo FBE, HKU September 2, 2018 Luo, Y. (FBE, HKU) ME September2,2018 1/44 Comparative Statics and The Concept of Derivative Comparative Statics is concerned with the comparison of different equilibrium states that are associated with different sets of values of parameters and exogenous variables. When the value of some parameter or exogenous variable that is associated with an initial equilibrium changes, we can get a new equilibrium. The question posted in the Comparative Statics analysis is: How would the new equilibrium compare with the old one? Note that in the CS analysis, we don’tconcern with the process of adjustment of the variables; we merely compare the initial equilibrium state with the final equilibrium. Luo, Y. (FBE, HKU) ME September2,2018 2/44 (Continued.) The problem under consideration is essentially one of finding a rate of change: the rate of change of the equilibrium value of an endogenous variable with respect to the change in a particular parameter or exogenous variable. Hence, the concept of derivative is the key factor in comparative statics analysis. We will study the rate of change of any variable y in response to a change in another variable x: y = f (x). (1) Note that in the CS analysis context, y represents the equilibrium value of an endogenous variable, and x represents some parameter or exogenous variable. The difference quotient. We use the symbol D to denote the change from one point, say x0, to another point, say x1. Thus Dx = x1 x0. When x changes from x0 to x0 + Dx, the value of the function y = f (x) changes from f (x0) to f (x0 + Dx).