Complexity and Policy Making I Ty an Ty D P Ol Ic Y Mak I Ng
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Evolution of the Product Space and a New Proposal
EVOLUTION OF THE PRODUCT SPACE AND A NEW PROPOSAL FOR TURKEY’S EXPORT INCENTIVE SYSTEM OF THE PRODUCT SPACE EVOLUTION EVOLUTION OF THE PRODUCT SPACE AND A NEW PROPOSAL FOR TURKEY’S EXPORT INCENTIVE SYSTEM 768 759 736 737 .tr 755 431 620 728 v 622 407 623 606 607 149 748 764 462 621 625 713 o 632 619 154 767 750 649 618 409 715 758 309 459 517 689 717 735 646 648 653 143 664 752 386 747 497 645 613 647 403 457 615 633 630 396 585 628 612 515 608 204 458 642 357 397 144 662 616 644 554 663 712 .sbb.g 513 617 400 762 766 46 421 629 402 643 w 417 390 751 652 631 761 398 710 520 126 412 540 654 401 410 395 716 720 391 239 708 627 498 121 685 711 703 641 650 256 359 120 383 763 415 371 ww 774 241 704 315 320 80 702 592 624 151 452 249 705 701 240 424 706 734 638 155 456 388 509 399 427 351 756 611 634 700 519 657 454 697 709 635 559 148 698 753 66 426 444 745 147 731 521 692 651 558 423 694 312 416 602 81 695 699 524 157 36 392 358 422 723 729 60 54 746 508 406 85 209 690 730 605 345 86 610 523 437 688 696 205 356 573 434 514 707 203 64 442 510 255 455 348 420 350 77 30 555 570 291 361 404 393 394 201 535 460 73 389 343 118 556 156 347 639 116 71 346 26 757 577 448 575 760 614 687 296 693 362129 349 145 65 586 669 342 772 25 574 3 355 344 101 539 224 353 405 714 79 461 564 438 259 182 742 600 329 289 170 482 372 317 674 518 50 31 557 512 670 70 88 593 661 10 56 471 146 130 691 680 321 52 516 732 326 214 479 413 686 445 579 352 55 199 228 626 484 102 29 576 83 316 583 447 104 215 159 235 322 451 136 572 328 360 604 494 446 449 430 103 542 63 -
Tribute to Axel Leijonhufvud
A great teacher 6 Computable economics 24 Experimental Economics 30 Adaptive Economic Process 32 Behavioral Economics 36 Institutional Economics 40 Evolutionary Economic 44 Dynamics Agent-Based Computational 48 Economics Agent-Based Finance 58 Financial Instability and 62 Crisis 68 Networks and Innovation 72 Macroeconomics and Financial Crisis 78 Evolution of Social Preferences 84 Market Design 88 Modularity and Design for Innovation 92 Financial Crisis 98 Inequality and the Changing Distribution of Income 104 Macroeconomic Coordination and Externalities 110 New Thinking on the Firm 118 Macroeconomics after the crisis: looking ahead A GREAT TEACHER 6 his is the last Summer School after almost twenty years. It could be a melancholic event, but should not be so. We had Ta rare chance to reflect on the challenges for economic analysis, in the spirit of open- minded exploration that Axel instilled to the School form beginning to end. This meeting today is also an opportunity to celebrate Axel´s contributions to our craft and to express the gratitude that we (quite a few of us here) feel for having been able to learn for him, professionally, and also personally. It is on both these terms that I would like to offer my brief remarks. I first knew about Axel in Argentina through a friend who referred me to the Spanish translation of the book on Keynes. Those were grim times in the country, economically and otherwise, and we were anxious searching for ideas to understand what had been going on. The book impressed me strongly. It was full of analytical insights on crucial questions about economic coordination, and at the same time, it allowed one to glimpse useful ways to speak about actual experiences of macro instability. -
Lucas on the Lucasian Transformation of Macroeconomics: an Assessment M
Lucas on the Lucasian Transformation of Macroeconomics: an Assessment M. De Vroey Discussion Paper 2010-32 LUCAS ON THE LUCASIAN TRANSFORMATION OF MACROECONOMICS: AN ASSESSMENT Michel De Vroey ◊ July 2010 Abstract Robert Lucas is rightfully credited with having changed the course of macroeconomic theory. The aim of this paper is to document his transformation from a potential contributor to Keynesian macroeconomics to the master builder of an alternative paradigm, equilibrium macroeconomics. I reconstruct Lucas’s theoretical journey as involving seven steps: (1) his pre-macroeconomic years, (2) his early work as a macroeconomist, jointly with Rapping, (3) the ‘Expectations and the Neutrality of Money’ 1972 article, (4) his inaugural equilibrium model of the business cycle, (5) his all-out attack on Keynesian macroeconomics, (6) the passing of the baton to Kydland and Prescott, and (7) his standpoint after the victory of the approach he so much contributed to launch. JEL classification: B 22; B 31; E30. Keywords: Lucas, new classical macroeconomics. ◊ IRES, University of Louvain, [email protected] A first version of this paper was presented at seminars given at the University of Toronto and the University of British Columbia. The author is grateful to the participants at these seminars for their remarks. He also acknowledges his gratitude to Robert Lucas for having authorized him to quote from the Lucas Archives held at Duke University, as well as for his comments on the paper. Kevin Hoover’s vivid comments on an earlier version were also stimulating. 1 INTRODUCTION In the late 1970s and the beginning of the 1980s, macroeconomics underwent a radical change, which resulted in the overthrow of Keynesian IS-LM macroeconomics and its replacement by dynamic stochastic general-equilibrium macroeconomics. -
Institute-Wide Task Force on the Future of Libraries
Institute-wide Task Force on the Future of Libraries Preliminary Report October 24, 2016 https://future-of-libraries.mit.edu © 2016 Massachusetts Institute of Technology Institute-wide Task Force on the Future of Libraries—Preliminary Report iii CONTENTS Introduction ................................................................................................. 4 A Vision for MIT Libraries ............................................................................ 4 Community and Relationships ..................................................................... 7 Discovery and Use ......................................................................................10 Stewardship and Sustainability ..................................................................14 Research and Development ........................................................................16 Tensions and Concerns ...............................................................................18 Summary and Conclusions .........................................................................18 Appendices Appendix 1: Task Force Charge .......................................................20 Appendix 2: Task Force Members ....................................................23 Appendix 3: Task Force Activities ....................................................25 Appendix 4: Idea Bank .....................................................................26 Appendix 5: Glossary .......................................................................27 Institute-wide -
The Visible Map and the Hidden Structure of Economics1 Angela Ambrosino*, Mario Cedrini*, John B. Davis**, Stefano Fiori*, Marco
The Visible Map and the Hidden Structure of Economics1 Angela Ambrosino*, Mario Cedrini*, John B. Davis**, Stefano Fiori*, Marco Guerzoni*,*** and Massimiliano Nuccio* * Dipartimento di Economia e Statistica “Cognetti de Martiis”, Università di Torino, Italy ** Marquette University and University of Amsterdam *** ICRIOS, Bocconi University, Milan Abstract The paper is a first, preliminary attempt to illustrate the potentialities of topic modeling as information retrieval system helping to reduce problems of overload information in the sciences, and economics in particular. Noting that some motives for the use of automated tools as information retrieval systems in economics have to do with the changing structure of the discipline itself, we argue that the standard classification system in economics developed over a hundred years ago by the American Economics Association, the Journal of Economic Literature (JEL) codes, can easily assist in detecting the major faults of unsupervised techniques and possibly provide suggestions about how to correct them. With this aim in mind, we apply to the corpus of (some 1500) “exemplary” documents for each classification of the Journal of Economics Literature Codes indicated by the American Economics Association in the “JEL codes guide” (https://www.aeaweb.org/jel/guide/jel.php) the topic-modeling technique known as Latent Dirichlet Allocation (LDA), which serves to discover the hidden (latent) thematic structure in large archives of documents, by detecting probabilistic regularities, that is trends in language text and recurring themes in the form of co-occurring words. The ambition is to propose and interpret measures of (dis)similarity between JEL codes and the LDA topics resulting from the analysis. -
Axel Leijonhufvud’S
A Dictionary Article on Axel Leijonhufvud’s On Keynesian Economics and the Economics of Keynes: A Study in Monetary Theory by Peter Howitt Brown University January 29, 2002 Draft of an article to be translated into French and published in the Dictionnaire des grandes œuvres économiques, edited by Xavier Greffe, Jérôme Lallement and Michel deVroey, to be published by Éditions Dalloz. On Keynesian Economics and the Economics of Keynes: A Study in Monetary Theory 1. Professor Leijonhufvud’s book, which emerged from his PhD. Dissertation at Northwestern University, was published in 1968, a critical time in the development of macroeconomic theory. Keynesian Economics was at its zenith. Policymakers around the world had adopted it as their guide to conducting stabilization policy. American Keynesians, proudly pointing to the long economic expansion following the 1962 tax-cuts that they had advocated to close the deflationary gap, claimed that their “New Economics” had vanquished the business cycle. Keynesian ideas had won over all but the most willful advocates of laissez-faire, to the point where it was commonly agreed that “we are all Keynesians now.” Keynesian Economics dominated teaching and academic research as much as it did policy-making. The IS-LM model that Hicks and Hansen had extracted from Keynes’s General Theory had become the reigning paradigm of macroeconomics. Theorists had developed choice- theoretic microfoundations for its major components - the consumption function, the demand function for investment and the demand function for money - informed by a huge volume of empirical research. The apparent success of the Keynesian research program had persuaded many that the broad outlines of macroeconomic theory were now settled, that there was nothing left for theorists to do but fill in the details. -
The Complexity Economics Revolution
The Complexity Economics Revolution J. Doyne Farmer Baillie Gifford Professor, Mathematical Institute, University of Oxford Director of Complexity Economics, Institute for New Economic Thinking at the Oxford Martin School External Professor, Santa Fe Institute Acknowledgements: I would like to thank Shanny Peer, Vince Bielski, Edward Kastenmeier and Andrew Weber for help editing, and Penny Mealy, Sander Bais, Karen Lawrence, Steve Lawton, Robb Lentz, Fotini Markopoulou and Elizabeth Rozeboom for valuable comments. This book is dedicated to my mentor, Thomas Edward Ingerson (1938 – 2019).1 INTRODUCTION ................................................................................................................... 3 Part I: WHAT IS COMPLEXITY ECONOMICS? 1 MAKING RANDOMNESS PREDICTABLE 1.1 Can we make better economic predictions? 1.2 Roulette: Random number generator or predictable physical system? 1.3 Why does the economy change? 1.4 Making chaos predictable 1.5 Is the economy chaotic? 2 THE ECONOMY IS A COMPLEX SYSTEM 2.1 What is a complex system? 2.2 Why is the economy a complex system? 2.3 How ideas from biology help us understand the economy 2.4 Economics = accounting + behavior 3 MAKING PREDICTIONS WITH NETWORKS OF SPECIALISTS 3.1 The ecology of production networks 3.2 The ecology of the economy predicts long term growth 3.3 Understanding the ecology of jobs to predict occupational unemployment 4 HOW SIMULATION HELPS US UNDERSTAND THE ECONOMY 4.1 What is a simulation? 4.2 Emergent phenomena are nonlinear 4.3 A housing bubble from the bottom-up 1 The Everyday Practice of Physics in Silver City, New Mexico. Appeared in Curious Minds: How a Child Becomes a Scientist, edited by John Brockman, 2004. -
The Complementary Relationship Between Institutional and Complexity Economics: the Example of Deep Mechanismic Explanations
Munich Personal RePEc Archive The complementary relationship between institutional and complexity economics: The example of deep mechanismic explanations Gräbner, Claudius 17 December 2016 Online at https://mpra.ub.uni-muenchen.de/77091/ MPRA Paper No. 77091, posted 26 Feb 2017 16:29 UTC The Complementary Relationship Between Institutional and Complexity Economics: The Example of Deep Mechanismic Explanations Claudius Gräbner [email protected] Revised version, February 2017 Abstract Analyzing economic systems from an evolutionary-institutional or a complexity perspective are two complementary approaches to economic inquiry. I discuss three arguments in favor of this hypothesis: (i) eminent institutional economists have considered the economy as what today could be considered a complex system; (ii) complexity economists lack meta- theoretical foundations which could be provided by institutionalist theory; and (iii) institutional economists could benefit from using methods of complexity economics. In this context, I argue that scholars considering the economy to be complex should seek to explain it by discovering social mechanisms instead of focusing on prediction. In order to distinguish between alternative explanations, scholars should refer to the deepness of an explanation, rather than to Occam’s razor. Keywords: agent-based computational economics, complexity economics, evolutionary- institutional economics, philosophy of science, systemism JEL Classification Codes: B25, B41, B52 Economics is undergoing a crisis: the general public becomes more and more skeptical of economic experts, student movements criticizing the current state of teaching economics gain ever more attention, and even within the scientific community criticism on the current state of affairs is growing (Earle et al. 2016). One reason for the failure of economics is its unwillingness to consider its object of inquiry as a complex system. -
Where Does Econophysics Fit in the Complexity Revolution? Dave Colander (Middlebury College)
Where does Econophysics fit in the Complexity Revolution? Dave Colander (Middlebury College) Early Draft Paper Prepared for the 2018 ASSA Meetings Philadelphia, PA. Jan 5th-7th Abstract A revolution is occurring in economics that is changing its scope and method. I call it the complexity revolution. The question I explore in this paper is: Where does econophysics fit in that revolution? I argue that the changing methods generally associated with the term econophysics are occurring because of advances in analytic and computational technology, and are not uniquely attributable to integrating physics and economics. Thus, using the term “econophysics” is likely to mislead people as to the nature of the complexity revolution. That complexity revolution involves an exploration of envisioning the economy as a complex evolving system driven by often unintended consequences of actions by purposeful agents. It is a vision that is more related to biology than to physics, and, at this stage of its development, is better thought of as an engineering revolution than a scientific revolution. Where does Econophysics fit in the Complexity Revolution? Dave Colander (Middlebury College) A revolution is occurring in economics. I call it the complexity revolution. Almost twenty years ago (Colander 2000) I predicted that in 50 to 100 years when historians of economics look back on the millennium, they would classify it as the end of the neoclassical era in economics and the beginning of the complexity era of economics. I stand by that prediction. The question I address in this paper is: Where does econophysics fit in that revolution?1 Before I turn to that question, let briefly summarize what I mean by the complexity revolution in economics.2 It is an expansion of the scope of economics to consider issues, such as complex dynamics, and semi-endogenous tastes and norms, that previously were assumed fixed. -
Old Keynesian Economics∗
Old Keynesian Economics∗ Roger E. A. Farmer† UCLA, Dept. of Economics September 21, 2006 Abstract I provide an outline of how a modern theory of search, modelled by a two-sided matching function, can be used to form a microfoundation to Keynesian economics. This search theory of the labor market has one less equation than unknown and, when combined with the idea that investment is driven exogenously by ‘animal spirits,’ the marriage leads to a microfounded theory of business cycles. This alternative theory has very different implications from the standard interpretations of Keynes that has become enshrined in new-Keynesian economics. I call the alternative, ‘old-Keynesian economics’ and I show that it leads to a model with multiple belief driven steady states. 1 Keynes and the Keynesians In his (1966) book, On Keynesian Economics and the Economics of Keynes, Axel Leijonhufvud made the distinction between the economics of the Gen- eral Theory (Keynes 1936) and the interpretation of Keynesian economics by Hicks and Hansen that was incorporated into the IS-LM model and that forms the basis for new-Keynesian economics. In that book, he pointed out that although the new-Keynesians give a central role to the assumption of sticky prices, the sticky-price assumption is a part of the mythology of Key- nesian economics that is inessential to the main themes of the General The- ory. In this paper I will sketch an alternative microfoundation to Keynesian ∗This paper was prepared for a Conference in honor of Axel Leijonhufvud held at UCLA on August 30th - 31st 2006. -
Evolution and Complexity in Economics Revisited by Kurt Dopfer
# 1102 Evolution and Complexity in Economics Revisited by Kurt Dopfer The Papers on Economics and Evolution are edited by the Max Planck Institute of Economics Evolutionary Economics Group, MPI Jena. For editorial correspondence, Evolutionary Economics Group please contact: [email protected] Kahlaische Str. 10 07745 Jena, Germany ISSN 1430-4716 Fax: ++49-3641-686868 by the author #1102 Evolution and Complexity in Economics Revisited by Kurt Dopfer University of St Gallen, Switzerland 1 #1102 Abstract The paper discusses recent trends in the sister sciences of evolutionary economics and complexity economics. It suggests that a unifying approach that marries the two strands is needed when reconstructing economics as a science capable of tackling the two key questions of the discipline: complex economic structure and evolutionary economic change. Physics, biology and the cultural sciences are investigated in terms of their usefulness as both paradigmatic orientation and as toolbox. The micro–meso–macro architecture delineated puts meso centre stage, highlighting its significance as structure component and as process component alike, thereby allowing us to handle the key issues of structure and change. 2 #1102 1 The rise of evolutionary economics The last three decades have seen an upsurge in the number of publications addressing themes that have come to be grouped under the heading of ‘evolutionary economics’. In a recent bibliometric account comprising the abstracts of articles published in all economic journals over the past half-century, Sandra Silva and Aurora Teixeira have been documenting the impressive magnitudes and structural dynamic of this trend – a trend that has accelerated tremendously in the last two decades, considering that 90 per cent of this body of research is recorded as having been published since 1990 (Silva and Teixeira 2009; EconLit database). -
Short Waves in Hungary, 1923 and 1946: Persistence, Chaos, and (Lack Of) Control
Short Waves in Hungary, 1923 and 1946: Persistence, Chaos, and (Lack of) Control Christopher A. Hartwell Professor of Financial Systems Resilience Bournemouth University, the Business School Bournemouth, UK [email protected] and Professor Kozminski University Warsaw, Poland ABSTRACT Monetary policies follow a complex and chaotic process, one that is enhanced when monetary growth is taken to the extreme, as in hyperinflation. While we have a basic understanding of the complex dynamics of hyperinflation, a less-explored phenomenon accompanying hyperinflationary episodes is the effect that they have on institutional development. Building on recent advances in economic history examining monetary policy and institutions, this analysis uses more explicit recourse to complexity theory and in particular complex adaptive systems to examine two separate hyperinflationary episodes in Hungary, 1923 and 1946. Delving into the institutional and cultural roots of the inflationary policies of the Hungarian government and detailing the institutional effects which succeeded hyperinflation, this paper shows that the twin experiences of Hungary were both chaotic and created a chaotic and complex aftermath, the results of which are still being felt. Indeed, Hungary’s 1923 and especially its 1946 hyperinflation shows that some economic chaos cannot be restrained by political institutions and in fact the institutions themselves were changed. When staring into the abyss, Hungary also found that the abyss stared back. JEL Codes: E42, N14, B52 Keywords: hyperinflation, complex adaptive systems, chaos, monetary policy, Hungary ACKNOWLEDGEMENTS: The author has a huge debt of gratitude to Ladislav Krištoufek at the Institute of Economic Studies, Charles University, for his assistance in the chaos calculations.