Enabling Entrepreneurial Ecosystems Insights from Ecology to Inform Effective Entrepreneurship Policy
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
From Big Data to Econophysics and Its Use to Explain Complex Phenomena
Journal of Risk and Financial Management Review From Big Data to Econophysics and Its Use to Explain Complex Phenomena Paulo Ferreira 1,2,3,* , Éder J.A.L. Pereira 4,5 and Hernane B.B. Pereira 4,6 1 VALORIZA—Research Center for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal 2 Department of Economic Sciences and Organizations, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal 3 Centro de Estudos e Formação Avançada em Gestão e Economia, Instituto de Investigação e Formação Avançada, Universidade de Évora, Largo dos Colegiais 2, 7000 Évora, Portugal 4 Programa de Modelagem Computacional, SENAI Cimatec, Av. Orlando Gomes 1845, 41 650-010 Salvador, BA, Brazil; [email protected] (É.J.A.L.P.); [email protected] (H.B.B.P.) 5 Instituto Federal do Maranhão, 65075-441 São Luís-MA, Brazil 6 Universidade do Estado da Bahia, 41 150-000 Salvador, BA, Brazil * Correspondence: [email protected] Received: 5 June 2020; Accepted: 10 July 2020; Published: 13 July 2020 Abstract: Big data has become a very frequent research topic, due to the increase in data availability. In this introductory paper, we make the linkage between the use of big data and Econophysics, a research field which uses a large amount of data and deals with complex systems. Different approaches such as power laws and complex networks are discussed, as possible frameworks to analyze complex phenomena that could be studied using Econophysics and resorting to big data. Keywords: big data; complexity; networks; stock markets; power laws 1. Introduction Big data has become a very popular expression in recent years, related to the advance of technology which allows, on the one hand, the recovery of a great amount of data, and on the other hand, the analysis of that data, benefiting from the increasing computational capacity of devices. -
PUBLIC WELFARE Targeting in Social Programs Avoiding Bad Bets
Targeting in Social Programs Avoiding Bad Bets, Removing Bad Apples Peter H. Schuck & Richard J. Zeckhauser 00 7880-6 front.qxd 9/24/2006 2:00 PM Page i Targeting in Social Programs 00 7880-6 front.qxd 9/24/2006 2:00 PM Page ii 00 7880-6 front.qxd 9/24/2006 2:00 PM Page iii Targeting in Social Programs Avoiding Bad Bets, Removing Bad Apples Peter H. Schuck Richard J. Zeckhauser brookings institution press Washington, D.C. 00 7880-6 front.qxd 9/24/2006 2:00 PM Page iv ABOUT BROOKINGS The Brookings Institution is a private nonprofit organization devoted to research, educa- tion, and publication on important issues of domestic and foreign policy. Its principal purpose is to bring the highest quality independent research and analysis to bear on cur- rent and emerging policy problems. Interpretations or conclusions in Brookings publica- tions should be understood to be solely those of the authors. Copyright © 2006 THE BROOKINGS INSTITUTION 1775 Massachusetts Avenue, N.W., Washington, D.C. 20036 www.brookings.edu All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means without permission in writing from the Brookings Institution Press. Library of Congress Cataloging-in-Publication data Schuck, Peter H. Targeting in social programs : avoiding bad bets, removing bad apples / Peter H. Schuck, Richard J. Zeckhauser. p. cm. Summary: “Provides a framework for analyzing the challenges involved in defining bad bets and bad apples and discusses the safeguards that any classification process must pro- vide. Examines public schools, public housing, and medical care and proposes policy changes that could reduce the problems these two groups pose in social welfare pro- grams”—Provided by publisher. -
CID Working Paper No. 168 :: Reconfiguring Industrial Policy
Reconfiguring Industrial Policy: A Framework with an Application to South Africa Ricardo Hausmann, Dani Rodrik, and Charles F. Sabel CID Working Paper No. 168 May 2008 © Copyright 2008 Ricardo Hausmann, Dani Rodrik, Charles F. Sabel, and the President and Fellows of Harvard College Working Papers Center for International Development at Harvard University Reconfiguring Industrial Policy: A Framework with an Application to South Africa Ricardo Hausmann, Dani Rodrik, and Charles F. Sabel May 2008 Abstract: The main purpose of industrial policy is to speed up the process of structural change towards higher productivity activities. This paper builds on our earlier writings to present an overall design for the conduct of industrial policy in a low- to middle-income country. It is stimulated by the specific problems faced by South Africa and by our discussions with business and government officials in that country. We present specific recommendations for the South African government in the penultimate section of the paper. Keywords: industrial policy, South Africa JEL Codes: O25 This paper is part of the CID South Africa Growth Initiative. This project is an initiative of the National Treasury of the Republic of South Africa within the government’s Accelerated and Shared Growth Initiative (ASGI-SA), which seeks to consolidate the gains of post-transition economic stability and accelerate growth in order to create employment and improve the livelihoods of all South Africans. For more information and the entire series of papers, visit the project's web site at http://www.cid.harvard.edu/southafrica. RECONFIGURING INDUSTRIAL POLICY: * A FRAMEWORK WITH AN APPLICATION TO SOUTH AFRICA Ricardo Hausmann, Dani Rodrik, and Charles F. -
Outlawing Honest Graft
\\jciprod01\productn\N\NYL\16-1\NYL106.txt unknown Seq: 1 28-MAR-13 9:53 OUTLAWING HONEST GRAFT Paul D. Brachman* The American public believes that Congress is dishonest and corrupt, and this perception was recently reinforced by reports that members of Congress were immune from insider trading laws. In response to the public backlash, and in an overwhelming display of bipartisanship, Congress passed the Stop Trading on Congressional Knowledge Act of 2012 (STOCK Act). The Act clarified that members of Congress are indeed subject to prohibitions on insider trading, and subjected congressional securities transactions to new and more rigorous disclosure requirements. Neverthe- less, some observers were disappointed with the strength of the STOCK Act, and there is also reason to fear that the Speech or Debate Clause of the U.S. Constitution may frustrate most attempts to prosecute members of Congress for insider trading, despite the passage of the Act. This Note analyzes the merits of the STOCK Act as an enforcement mechanism and concludes that it is likely a mostly ineffective tool for com- bating congressional insider trading. This Note then asks whether the Act may have independent value because it addresses the appearance of con- gressional impropriety, or whether such appearances may be detrimental if the Act fails as an enforcement device. Finally, this Note suggests that in- creasing transparency, and requiring Congress to police its own corruption may be more attractive alternatives for combatting congressional insider trading. INTRODUCTION .............................................. 262 R I. THEY SEEN THEIR OPPORTUNITIES AND THEY TOOK ‘EM: ASSESSING THE PROBLEM OF CONGRESSIONAL INSIDER TRADING ................................... -
Percy Venegas Economy Monitor
Trust Asymmetry Percy Venegas Economy Monitor Abstract symbolic regression complexity – which can be described in terms of save money, in detriment of efficiency in sourcing of goods or payment If the payment mechanism takes care of processing and fraud simulta- In the traditional financial sector, players profited from information asym- the shape of a data space, and, the dynamics of vector fields. settlement. But they do need to do business with someone they trust. neously, then the decision is straightforward. metries. In the blockchain financial system, they profit from trust asymmetries. We define the concept of “trust asymmetry” as a form of metric en- The price of trust is the cost of business lost (not realized) if trust is Transactions are a flow, trust is a stock. Even if the information asymmetries tropy (e.g. Kolmogorov Entropy) which can be described in terms of lost (not secured). across the medium of exchange are close to zero (as it is expected in a de- 1.3 Trust asymmetries centralized financial system), there exists a “trust imbalance” in the perimeter. the shape of a data space, and, the dynamics of vector fields. This fluid dynamic follows Hayek’s concept of monetary policy: “What we Note that in none of those two cases were there any “real banks” in- find is rather a continuum in which objects of various degrees of liquidity, or At the theoretical side, one of the problems with the information with values which can fluctuate independently of each other, shade into each 1.2 Digital commerce volved. And these are not fictional scenarios: today there is trading asymmetry literature in economics is that rarely formal methods are other in the degree to which they function as money”. -
Economic Development As Self-Discovery
NBER WORKING PAPER SERIES ECONOMIC DEVELOPMENT AS SELF-DISCOVERY Ricardo Hausmann Dani Rodrik Working Paper 8952 http://www.nber.org/papers/w8952 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 May 2002 We thank the Ford and Rockefeller Foundations for financial support, and Zoë McLaren and Anton Dobronogov for research assistance. The views expressed herein are those of the authors and not necessarily those of the National Bureau of Economic Research. © 2002 by Ricardo Hausmann and Dani Rodrik. 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. Economic Development as Self-Discovery Ricardo Hausmann and Dani Rodrik NBER Working Paper No. 8952 May 2002 JEL No. O0, L1 ABSTRACT In the presence of uncertainty about what a country can be good at producing, there can be great social value to discovering costs of domestic activities because such discoveries can be easily imitated. We develop a general-equilibrium framework for a small open economy to clarify the analytical and normative issues. We highlight two failures of the laissez-faire outcome: there is too little investment and entrepreneurship ex ante, and too much production diversification ex post. Optimal policy consists of counteracting these distortions: to encourage investments in the modern sector ex ante, but to rationalize production ex post. We provide some informal evidence on the building blocks of our -
Deaton Cartwright Rcts with ABSTRACT August 25
Understanding and misunderstanding randomized controlled trials Angus Deaton and Nancy Cartwright Princeton University Durham University and UC San Diego This version, August 2016 We acknowledge helpful discussions with many people over the many years this paper has been in preparation. We would particularly like to note comments from seminar participants at Princeton, Columbia and Chicago, the CHESS research group at Durham, as well as discussions with Orley Ashenfelter, Anne Case, Nick Cowen, Hank Farber, Bo Honoré, and Julian Reiss. Ulrich Mueller had a major influence on shaping Section 1 of the paper. We have benefited from gen- erous comments on an earlier version by Tim Besley, Chris Blattman, Sylvain Chassang, Steven Durlauf, Jean Drèze, William Easterly, Jonathan Fuller, Lars Hansen, Jim Heckman, Jeff Hammer, Macartan Humphreys, Helen Milner, Suresh Naidu, Lant Pritchett, Dani Rodrik, Burt Singer, Richard Zeckhauser, and Steve Ziliak. Cartwright’s research for this paper has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 667526 K4U). Deaton acknowledges financial support through the National Bureau of Economic Research, Grants 5R01AG040629-02 and P01 AG05842-14 and through Princeton University’s Roybal Center, Grant P30 AG024928. ABSTRACT RCTs are valuable tools whose use is spreading in economics and in other social sciences. They are seen as desirable aids in scientific discovery and for generating evidence for poli- cy. Yet some of the enthusiasm for RCTs appears to be based on misunderstandings: that randomization provides a fair test by equalizing everything but the treatment and so allows a precise estimate of the treatment alone; that randomization is required to solve selection problems; that lack of blinding does little to compromise inference; and that statistical in- ference in RCTs is straightforward, because it requires only the comparison of two means. -
Is Economics an Empirical Science? If Not, Can It Become One?
Mathematical Finance Is Economics an Empirical Science? If not, can it become one? Sergio Mario Focardi Journal Name: Frontiers in Applied Mathematics and Statistics ISSN: 2297-4687 Article type: Hypothesis & Theory Article Received on: 07 Apr 2015 Accepted on: 29 Jun 2015 Provisional PDF published on: 29 Jun 2015 Frontiers website link: www.frontiersin.org Citation: Focardi SM(2015) Is Economics an Empirical Science? If not, can it become one?. Front. Appl. Math. Stat. 1:7. doi:10.3389/fams.2015.00007 Copyright statement: © 2015 Focardi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. This Provisional PDF corresponds to the article as it appeared upon acceptance, after rigorous peer-review. Fully formatted PDF and full text (HTML) versions will be made available soon. Is Economics an Empirical Science? If not, can it become one? Sergio M. Focardi, Visiting Professor of Finance, Stony Brook University, NY and Researcher at Léonard de Vinci University, Paris ABSTRACT: Today’s mainstream economics, embodied in Dynamic Stochastic General Equilibrium (DSGE) models, cannot be considered an empirical science in the modern sense of the term: it is not based on empirical data, is not descriptive of the real-world economy, and has little forecasting power. In this paper, I begin with a review of the weaknesses of neoclassical economic theory and argue for a truly scientific theory based on data, the sine qua non of bringing economics into the realm of an empirical science. -
Policy and Choice: Public Finance Through the Lens of Behavioral
advance Praise For POLICY and CHOICE Mullai Congdon • Kling “Policy and Choice is a must-read for students of public finance. If you want to learn N William J. Congdon is a research director in Traditional public ἀnance provides a powerful how the emerging field of behavioral economics can help lead to better policy, there is atha the Brookings Institution’s Economic Studies framework for policy analysis, but it relies on a nothing better.” program, where he studies how best to apply model of human behavior that the new science , Harvard University, former chairman of the President’s Council of N. GreGory MaNkiw N behavioral economics to public policy. Economic Advisers, and author of Principles of Economics of behavioral economics increasingly calls into question. In Policy and Choice economists Jeἀrey R. Kling is the associate director for William Congdon, Jeffrey Kling, and Sendhil economic analysis at the Congressional Budget “This fantastic volume will become the standard reference for those interested in understanding the impact of behavioral economics on government tax and spending Mullainathan argue that public ἀnance not only Office, where he contributes to all aspects of the POLICY policies. The authors take a stream of research which had highlighted particular can incorporate many lessons of behavioral eco- agency’s analytic work. He is a former deputy ‘nudges’ and turn it into a comprehensive framework for thinking about policy in a nomics but also can serve as a solid foundation director of Economic Studies at Brookings. more realistic world where psychology is incorporated into economic decisionmaking. from which to apply insights from psychology Sendhil Mullainathan is a professor of This excellent book will be widely used and cited.” to questions of economic policy. -
In Search of Convergence by Ricardo Hausmann - Project Syndicate
In Search of Convergence by Ricardo Hausmann - Project Syndicate http://www.project-syndicate.org/print/ricardo-hausmann-asks-w... BUSINESS & FINANCE RICARDO HAUSMANN Ricardo Hausmann, a former minister of planning of Venezuela and former Chief Economist of the Inter-American Development Bank, is a professor of economics at Harvard University, where he is also Director of the Center for International Development. AUG 20, 2014 CAMBRIDGE – One puzzle of the world economy is that for 200 years, the world’s rich countries grew faster than poorer countries, a process aptly described by Lant Pritchett as “Divergence, Big Time.” When Adam Smith wrote The Wealth of Nations in 1776, per capita income in the world’s richest country – probably the Netherlands – was about four times that of the poorest countries. Two centuries later, the Netherlands was 40 times richer than China, 24 times richer than India, and ten times richer than Thailand. But, over the past three decades, the trend reversed. Now, the Netherlands is only 11 times richer than India and barely four times richer than China and Thailand. Spotting this reversal, the Nobel laureate economist Michael Spence has argued that the world is poised for The Next Convergence . Yet some countries are still diverging. While the Netherlands was 5.8, 7.7, and 15 ti mes richer than Nicaragua, Côte D’Ivoire, and Kenya, respectively, in 1980, by 2012 it was 10.5, 21.1, and 24.4 times richer. What could explain generalized divergence in one period and selective convergence in another? After all, shouldn’t laggards grow faster than leaders if all they have to do is imitate others, even leapfrogging now-obsolete technologies? Why didn’t they grow faster for so long, and why are they doing so now? Why are some countries now converging, while others continue to diverge? 1 of 4 8/30/2014 8:44 AM In Search of Convergence by Ricardo Hausmann - Project Syndicate http://www.project-syndicate.org/print/ricardo-hausmann-asks-w.. -
CGD Policy Paper 071 December 2015
The Role of Industrial Policy as a Development Tool: New Evidence from the Globalization of Trade-and-Investment Theodore H. Moran Abstract Emerging market countries that manage This paper identifies the ingredients for to diversify and upgrade their production what it calls “light-handed” industrial policy and export base grow more rapidly and to address these obstacles. To a certain enjoy greater welfare gains than those extent, emerging market hosts can carry out that do not. Foreign direct investment in the policy interventions recommended here manufacturing is concentrated in middle- on their own. But the evidence presented and upper-skilled activities – not lowest- in this paper shows that external support skilled operations – and thus offers many is often essential to success. Developed opportunities for structural transformation countries, development agencies, and of the host economy. But the challenge multilateral financial institutions have crucial of using FDI to diversify and upgrade the roles to play. The paper concludes therefore local production and export base is fraught with policy implications for developing with market failures and tricky obstacles. countries, developed countries, and Contemporary debates about industrial multilateral financial institutions. policy as a development tool focus on how best to overcome these market failures and other difficulties. Center for Global Development 2055 L Street NW Fifth Floor Washington DC 20036 202-416-4000 Theodore Moran. 2015. "The Role of Industrial Policy as a Development Tool: New Evidence from the www.cgdev.org Globalization of Trade-and-Investment." CGD Policy Paper 071. Washington DC: Center for Global Development. This work is made available under http://www.cgdev.org/publication/role-industrial-policy-development-tool-new-evidence- globalization-trade-and-investment the terms of the Creative Commons Attribution-NonCommercial 3.0 CGD is grateful for contributions from its funders in support of this work. -
Syllabus LECTURES and READINGS
Development Policy Strategy Professor Ricardo Hausmann Syllabus Development policy strategy January 2001 Ricardo Hausmann LECTURES AND READINGS ~ Section 1 ~ Assessing growth. Day 1 – Income and growth: the stylized facts and the neo-classical growth model Romer, David Advanced Macroeconomics, Chapter 1-3. Inter-American Development Bank, 2000 Development Beyond Economics, Economic and Social Progress, Chapter 1. Pritchett, L. 1997. "Divergence, Big Time." Journal of Economic Perspectives 11 (Summer): 3-17. Easterly, W. 1999. "Life During Growth." Journal of Economic Growth 4 (3) September: 239-275. Supplementary readings: Hulten, Charles R. “Total Factor Productivity: A Short Biography” NBER Working Paper No. W7471, available at http://papers.nber.org/papers/W7471.pdf . Barro, R. “Notes on Growth Accounting”, Journal of Economic Growth, Vol. 4, no. 2 (June 1999): 119-137. Also available as NBER Working Paper No. W6654, available at http://papers.nber.org/papers/W6654.pdf . Day 2 – Accounting for international income differences Main readings: Robert Hall and Charles I. Jones “Why Do Some Countries Produce So Much More Output per Worker than Others?” The Quarterly Journal of Economics, vol. 114, no. 1, pp. 83-116, February 1999. Available also as NBER Working Paper No. W6564 (http://papers.nber.org/papers/W6564.pdf). N. Gregory Mankiw, David Romer, David N. Weil, A Contribution to the Empirics of Economic Growth, The Quarterly Journal of Economics, pp. 407-437, (May 1992). Available through JSTOR at http://lib.harvard.edu:2056/cgi- Last updated: November 16, 2001 1 Development Policy Strategy Professor Ricardo Hausmann bin/jstor/viewitem/00335533/di976338/97p00385/0?currentResult=00335533%2bdi976338%2b97p00385%2 b1%2c03%2b19920500%2b9994%2b80079499&searchID=cc99331a.9805209900&sortOrder=SCORE&nex tHit=03&frame=frame&[email protected]/01cc99331a005041ef91&displayChunk=10&psearc hExp=%22%3cstrong%3eA%20Contribution%20to%20the%20Empirics%20of%20Economic%20Growth%3 c/strong%3e%22&viewContent=Article&config=jstor&dpi=3 .