DOCSLIB.ORG

Economic Surveys and Data Analysis

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Economic Surveys and Data Analysis STATISTICS « STATISTICS Economic Surveys and Data Analysis Economic Surveys and Data Analysis CIRET Conference Proceedings, Paris 2000 Economic CIRET, the Centre for International Research on Economic Tendency Surveys is a global forum for leading economists and institutions that conduct and analyse business and consumer surveys. The survey data provides up-to-date information often unavailable from Surveys and official statistics including plans, assessments and expectations of businesses and consumers. Data Analysis CIRET promotes the exchange of theoretical and operational knowledge of all aspects of economic cycle research. CIRET holds international conferences every other year and maintains an Internet site at www.ciret.org CIRET Conference The 25th CIRET Conference, entitled "Business Surveys and Empirical Analysis of Economic and Social Survey Data" was hosted by OECD and INSEE in Paris, France in 2000. Proceedings, Paris 2000 This volume contains selected papers presented at the conference. Conference Proceedings of former CIRET Conferences were published by Ashgate CIRET Conference Proceedings, Paris 2000 Proceedings, CIRET Conference (see www.ashgate.com). OECD's books, periodicals and statistical databases are now available via www.SourceOECD.org, our online library. This book is available to subscribers to the following SourceOECD themes: General Economics and Future Studies Ask your librarian for more details of how to access OECD books on line, or write to us at [email protected] www.oecd.org ISBN 92-64-09902-6 30 2002 11 1 P -:HSTCQE=U^^UW^: Economic Surveys and Data Analysis CIRET Conference Proceedings, Paris 2000 Edited by Günter Poser in co-operation with Daniel Bloesch ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Pursuant to Article 1 of the Convention signed in Paris on 14th December 1960, and which came into force on 30th September 1961, the Organisation for Economic Co-operation and Development (OECD) shall promote policies designed: – to achieve the highest sustainable economic growth and employment and a rising standard of living in Member countries, while maintaining financial stability, and thus to contribute to the development of the world economy; – to contribute to sound economic expansion in Member as well as non-member countries in the process of economic development; and – to contribute to the expansion of world trade on a multilateral, non- discriminatory basis in accordance with international obligations. The original Member countries of the OECD are Austria, Belgium, Canada, Denmark, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. The following countries became Members subsequently through accession at the dates indicated hereafter: Japan (28th April 1964), Finland (28th January 1969), Australia (7th June 1971), New Zealand (29th May 1973), Mexico (18th May 1994), the Czech Republic (21st December 1995), Hungary (7th May 1996), Poland (22nd November 1996), Korea (12th December 1996) and the Slovak Republic (14th December 2000). The Commission of the European Communities takes part in the work of the OECD (Article 13 of the OECD Convention). © OECD 2002 Permission to reproduce a portion of this work for non-commercial purposes or classroom use should be obtained through the Centre français d’exploitation du droit de copie (CFC), 20, rue des Grands-Augustins, 75006 Paris, France, tel. (33-1) 44 07 47 70, fax (33-1) 46 34 67 19, for every country except the United States. In the United States permission should be obtained through the Copyright Clearance Center, Customer Service, (508)750-8400, 222 Rosewood Drive, Danvers, MA 01923 USA, or CCC Online: www.copyright.com. All other applications for permission to reproduce or translate all or part of this book should be made to OECD Publications, 2, rue André-Pascal, 75775 Paris Cedex 16, France. Preface The Centre for International Research on Economic Tendency Surveys (CIRET) held its 25th conference at the joint invitation of the Institut National de la Statistique et des Etudes Economiques (INSEE) and of the Organisation of Economic Co-operation and Development (OECD) in Paris from October 11 to October 14, 2000. As key note speaker Professor Edmond Malinvaud addressed the conference participants with his opening speech on "The Role of Business Survey Data in Macroeconomic Research and Practice". This volume contains the opening speech as well as a selection of papers that were presented at the conference. The papers cover a wide range of topics: (i) Macroeconomic analysis and forecasting, (ii) Leading indicators, (iii) Innovation and technology, (iv) Labour market analysis and consumer surveys, (v) Analysis of survey data with advanced econometric methods and (vi) Use of survey data for economic policy recommendations. On behalf of CIRET I like to thank all persons who have contributed to the success of the conference: Hélène Erkel-Rousse (INSEE) and Ronny Nilsson (OECD) and their staff were competent organizers and charming hosts. Mr. Seiichi Kondo, Deputy Secretary-General at the OECD, gave the closing speech. Petra Huth and Ruth Vognstrup at the Swiss Institute for Business Cycle Research (KOF) in Zurich supported the local organizers INSEE and OECD. We thank the French Ministry of Economy, Finance and Industry, the French Economic Forecasting Department and the European Central Bank for sponsoring the 25th CIRET conference. We thank Jean-Jacques Vanhaelen at the National Bank of Belgium for his support in the reconstitution of CIRET as an association with legal seat in Brussels. The first general assembly of the renewed CIRET, headed by Professor Bernd Schips, new President of CIRET, was held in Paris on October 10, 2000. Finally we appreciate the endeavour of Ronny Nilsson (OECD) who made this publication possible and we thank Susanne Boehm for formating the papers. Darmstadt, October 2002 Günter Poser 3 Table of Contents List of Contributors 7 Opening Address 1 The Role of Business Survey Data in Macroeconomic Research and Practice 11 Edmond Malinvaud I Macroeconomic Analysis and Forecasting 2 A Comparative Study of Forecasting Performance: European Long Range Gauge vs. European Business Surveys 21 Anirvan Banerji and Philip A. Klein 3 Towards the Elaboration of Business Climate Indicators for the Italian Economy 33 Paolo Carnazza and Giuseppe Parigi 4 Compiling and Comparison of Taiwan’s Business Indicators 51 Cheng-Mount Cheng 5 General Indicators of Business Activity for Poland Based on Survey Data 61 Zbigniew Matkowski 6 Confidence Indicators and Composite Indicators 75 Ronny Nilsson II Leading Indicators 7 The OECD System of Leading Indicators: Recent Efforts to Meet Users’ Needs 107 Benoît Arnaud 8 Calculation of Composite Leading Indicators: A Comparison of Two Different Methods 123 Olivier Brunet 9 Leading Indicators of Financial Vulnerability: Demonstrated in the Case of the Asian Crisis 135 Gernot Nerb and Markus Taube 10 The Belgian Industrial Confidence Indicator: Leading Indicator of Economic Activity in the Euro Area? 153 Jean-Jacques Vanhaelen, Luc Dresse and Jan De Mulder 5 CIRET Conference Proceedings, Paris 2000 III Innovation and Technology 11 Explaining Innovative Activity in Service Industries: Micro Data Evidence for Switzerland 185 Spyros Arvanitis 12 Innovation Modes in the Swiss Service Sector: A Cluster Analysis Based on Firm-Level Data 203 Heinz Hollenstein 13 Spillover Effects and R&D-Cooperations: The Influence of Market Structure 231 Anita Wölfl IV Labour Market Analysis and Consumer Surveys 14 Exploring Unemployment in the European Union 253 Marcella Corsi 15 Centralised CATI Method in the Finnish Consumer Survey: Testing the Effects of Nonresponse 269 Pertti Kangassalo and Veijo Notkola V Analysis of Survey Data with Advanced Econometric Methods 16 Signalling Bottlenecks/Overcapacities and Low/High Dynamics 283 Marlene Amstad and Richard Etter 17 The Impact of Nonresponse Bias on the Index of Consumer Sentiment 307 Richard Curtin, Stanley Presser and Eleanor Singer 18 Quantification of Qualitative Data Using Ordered Probit Models 325 Ulrich Kaiser and Alexandra Spitz VI Use of Survey Data for Economic Policy Recommendations 19 Survey Data as a Source of Information for Policy Recommendations: A Logit Analysis 347 Elzbieta Adamowicz, Anna Gutkowska, Jacek Kotlowski and Konrad Walczyk 20 The Evolution of Expectations of Disinflation: The Case of Bulgaria 371 John A. Carlson and Neven T. Valev 6 List of Contributors Elzbieta Adamowicz SGH, Warsaw School of Economics, Warsaw, Poland Marlene Amstad Economic Research, Swiss National Bank, Zurich, Switzerland Benoît Arnaud OECD Secretariat, Paris, France Spyros Arvanitis KOF, Swiss Institute for Business Cycle Research, Swiss Federal Institute of Technology, Zurich, Switzerland Anirvan Banerji Co-Director of Research, ECRI, Economic Cycle Research Institute, New York, USA Daniel Bloesch Head of CIRET Information and Documentation Centre, KOF, Swiss Institute for Business Cycle Research, Swiss Federal Institute of Technology Zurich, Switzerland Olivier Brunet OECD Secretariat, Paris, France John A. Carlson Loeb Professor of Economics, Department of Economics, Purdue University, West Lafayette, USA Paolo Carnazza Head of Economic Research, Confartigianato, Rome, Italy; formerly ISAE, Rome, Italy Cheng-Mount Cheng Assistant Research Fellow, TIER, Taiwan Institute of
Load more

Recommended publications
  • Making Sense of Unemployment Data
    PAGE ONE Economics® Making Sense of Unemployment Data Scott A. Wolla, Ph.D., Senior Economic Education Specialist GLOSSARY “Unemployment is like a headache or a high temperature—unpleasant and Cyclical unemployment: Unemployment exhausting but not carrying in itself any explanation of its cause.” associated with recessions in the business —William Henry Beveridge, Causes and Cures of Unemployment cycle. Discouraged worker: Someone who is not working and is not looking for work because of a belief that there are no jobs Job growth has been healthy for five years.1 However, many people still available to him or her. express concern over the health of the overall labor market. For example, Employed: People 16 years and older who Jim Clifton, CEO of Gallup, states that the “official unemployment rate, as have jobs. reported by the U.S. Department of Labor, is extremely misleading.”2 He Frictional unemployment: Unemployment proposes the Gallup Good Jobs rate as a better indicator of the health of the that results when people are new to the labor market. At the heart of Clifton and others’ concern is what the official job market, including recent graduates, or are transitioning from one job to another. unemployment rate actually measures and whether it is a reliable indicator. Labor force: The total number of workers, including both the employed and the The Labor Force: Are You In or Out? unemployed. To measure the unemployment rate, the U.S. Bureau of Labor Statistics Labor force participation rate: The percent- (BLS) surveys 60,000 households—about 110,000 individuals—which age of the working-age population that is in the labor force.
    [Show full text]
  • Ten Tips for Interpreting Economic Data F Jason Furman Chairman, Council of Economic Advisers
    Ten Tips for Interpreting Economic Data f Jason Furman Chairman, Council of Economic Advisers July 24, 2015 1. Data is Noisy: Look at Data With Less Volatility and Larger Samples Monthly Employment Growth, 2014-Present Thousands of Jobs 1,000 800 Oct-14: +836/-221 600 400 200 0 -200 Mar-15: Establishment Survey -502/+119 -400 Household Survey (Payroll Concept) -600 Jan-14 Apr-14 Jul-14 Oct-14 Jan-15 Apr-15 Source: Bureau of Labor Statistics. • Some commentators—and even some economists—tend to focus too closely on individual monthly or weekly data releases. But economic data are notoriously volatile. In many cases, a longer-term average paints a clearer picture, reducing the influence of less informative short-term fluctuations. • The household employment survey samples only 60,000 households, whereas the establishment employment survey samples 588,000 worksites, representing millions of workers. 1 2. Data is Noisy: Look Over Longer Periods Private Sector Payroll Employment, 2008-Present Monthly Job Gain/Loss, Seasonally Adjusted 600,000 400,000 200,000 0 -200,000 12-month -400,000 moving average -600,000 -800,000 -1,000,000 2008 2010 2012 2014 Source: Bureau of Labor Statistics. • Long-term moving averages can smooth out short-term volatility. Over the past year, our businesses have added 240,000 jobs per month on average, more than the 217,000 per month added over the prior 12 months. The evolving moving average provides a less noisy underlying picture of economic developments. 2 2. Data is Noisy: Look Over Longer Periods Weekly Unemployment Insurance Claims, 2012-2015 Thousands 450 400 Weekly Initial Jobless Claims 350 300 Four-Week Moving Average 7/18 250 2012 2013 2014 2015 Source: Bureau of Labor Statistics.
    [Show full text]
  • Main Economic Indicators: Comparative Methodological Analysis: Wage Related Statistics
    MAIN ECONOMIC INDICATORS: COMPARATIVE METHODOLOGICAL ANALYSIS: WAGE RELATED STATISTICS VOLUME 2002 SUPPLEMENT 3 FOREWORD This publication provides comparisons of methodologies used by OECD Member countries to compile key short-term and annual data on wage related statistics. These statistics comprise annual and infra-annual statistics on wages and earnings, minimum wages, labour costs, labour prices, unit labour costs, and household income. Also, because of their use in the compilation of these statistics, the publication also includes an initial analysis of hours of work statistics. In its coverage of short-term indicators it is related to analytical publications previously published by the OECD for indicators published in the monthly publication, Main Economic Indicators (MEI) for: industry, retail and construction indicators; and price indices. The primary purpose of this publication is to provide users with methodological information underlying the compilation of wage related statistics. The analysis provided for these statistics is designed to ensure their appropriate use by analysts in an international context. The information will also enable national statistical institutes and other agencies responsible for compiling such statistics to compare their methodologies and data sources with those used in other countries. Finally, it will provide a range of options for countries in the process of creating their own wage related statistics, or overhauling existing indicators. The analysis in this publication focuses on issues of data comparability in the context of existing international statistical guidelines and recommendations published by the OECD and other international agencies such as the United Nations Statistical Division (UNSD), the International Labour Organisation (ILO), and the Statistical Office of the European Communities (Eurostat).
    [Show full text]
  • Macroeconomics Course Outline and Syllabus
    City University of New York (CUNY) CUNY Academic Works Open Educational Resources New York City College of Technology 2018 Macroeconomics Course Outline and Syllabus Sean P. MacDonald CUNY New York City College of Technology How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/ny_oers/8 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] COURSE OUTLINE FOR ECON 1101 – MACROECONOMICS New York City College of Technology Social Science Department COURSE CODE: 1101 TITLE: Macroeconomics Class Hours: 3, Credits: 3 COURSE DESCRIPTION: Fundamental economic ideas and the operation of the economy on a national scale. Production, distribution and consumption of goods and services, the exchange process, the role of government, the national income and its distribution, GDP, consumption function, savings function, investment spending, the multiplier principle and the influence of government spending on income and output. Analysis of monetary policy, including the banking system and the Federal Reserve System. COURSE PREREQUISITE: CUNY proficiency in reading and writing RECOMMENDED TEXTBOOK and MATERIALS* Krugman and Wells, Eds., Macroeconomics 3rd. ed, Worth Publishers, 2012 Leeds, Michael A., von Allmen, Peter and Schiming, Richard C., Macroeconomics, Pearson Education, Inc., 2006 Supplemental Reading (optional, but informative): Krugman, Paul, End This Depression
    [Show full text]
  • Pandemic 101:A Roadmap to Help Students Grasp an Economic Shock
    Social Education 85(2) , pp.64–71 ©2021 National Council for the Social Studies Teaching the Economic Effects of the Pandemic Pandemic 101: A Roadmap to Help Students Grasp an Economic Shock Kim Holder and Scott Niederjohn This article focuses on the major national economic indicators and how they changed within the United States real GDP; the over the course of the COVID-19 pandemic. The indicators that we discuss include output from a Ford plant in Canada is not. Gross Domestic Product (GDP), the unemployment rate, interest rates, inflation, and Economists typically measure real GDP other variations of these measures. We will also present data that sheds light on the as a growth rate per quarter: Is GDP get- monetary and fiscal policy responses to the pandemic. Graphs of these statistics are ting bigger or smaller compared to a prior sure to grab teachers’ and students’ attention due to the dramatic shock fueled by the quarter? In fact, a common definition of pandemic. We will explain these economic indicators with additional attention to what a recession is two quarters in a row of they measure and the limitations they may present. Teachers will be introduced to the declining real GDP. Incidentally, it also Federal Reserve Economic Database (FRED), which is a rich source of graphs and measures total U.S. income (and spend- information for teacher instruction and student research. Further classroom-based ing) and that explains why real GDP per resources related to understanding the economic effects of the COVID-19 pandemic capita is a well-established measure used are also presented.
    [Show full text]
  • A Common Framework for Measuring the Digital Economy
    www.oecd.org/going-digital-toolkit www.oecd.org/SDD A ROADMAP TOWARD A COMMON FRAMEWORK @OECDinnovation @OECD_STAT FOR MEASURING THE [email protected] DIGITAL ECONOMY [email protected] Report for the G20 Digital Economy Task Force SAUDI ARABIA, 2020 A roadmap toward a common framework for measuring the Digital Economy This document was prepared by the Organisation for Economic Co-operation and Development (OECD) Directorate for Science, Technology and Innovation (STI) and Statistics and Data Directorate (SDD), as an input for the discussions in the G20 Digital Economy Task Force in 2020, under the auspices of the G20 Saudi Arabia Presidency in 2020. It benefits from input from the European Commission, ITU, ILO, IMF, UNCTAD, and UNSD as well as from DETF participants. The opinions expressed and arguments employed herein do not necessarily represent the official views of the member countries of the OECD or the G20. Acknowledgements: This report was drafted by Louise Hatem, Daniel Ker, and John Mitchell of the OECD, under the direction of Dirk Pilat, Deputy Director for Science, Technology, and Innovation. Contributions were gratefully received from collaborating International Organisations: Antonio Amores, Ales Capek, Magdalena Kaminska, Balazs Zorenyi, and Silvia Viceconte, European Commission; Martin Schaaper and Daniel Vertesy, ITU; Olga Strietska-Ilina, ILO; Marshall Reinsdorf, IMF; Torbjorn Fredriksson, Pilar Fajarnes, and Scarlett Fondeur Gil, UNCTAD; and Ilaria Di Matteo, UNSD. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.
    [Show full text]
  • Economics a Guide to Selected Resources
    Economics A Guide to Selected Resources Reference & Fact Finding Books & eBooks Journals, Magazines, & Newspapers Great Websites! Reference & Fact Finding Encyclopedias | Dictionaries | Guides & Handbooks | Biography | Statistics ENCYCLOPEDIAS Encyclopedia of American Economic History. [REF HC 103 .E52] Covers the principal economic movements and ideas in the United States. Includes articles on American social history that closely relate to America's economic past. The New Palgrave: A Dictionary of Economics. 1987. [REF HB 61 .N49] The New Palgrave Dictionary of Economics and the Law. 1998. [REF K 487 .E3 N48] The New Palgrave Dictionary of Money & Finance. 1992. [REF HG 151 .N48] Encyclopedic coverage on economic concepts, theories, and ideas with extensive bibliographies. GUIDES & HANDBOOKS Business Information: Finding and Using Data in the Digital Age 2003. [REF HF 1010 .Z337] Covers research concepts and methods, and evaluation techniques as applied to business, company, and statistical information. Updated to account for the World Wide Web. BIOGRAPHIES Biography in Context Comprehensive database of biographical information on more than 185,000 people from throughout history, around the world, and across all disciplines and subject areas. Includes full-text brief biographies, articles, and website suggestions. The Economists. [HB 119 .A3 S54] Nobel Laureates in Economic Sciences: A Biographical Dictionary. [REF HB 76 .N63] Worldly Economists. [HB 119 .A3 S64] STATISTICS Compilations of Statistics | Current Statistical Resources | Projections COMPILATION OF STATISTICS Business Statistics of the United States [REF HC 101 .A13122] Provides data series covering almost every aspect of the U.S. economy, statistical profiles of major industry groups, tables presenting over 30 years of data - some back to 1963, and detailed background notes with definitions, data revision schedules, and sources of additional information.
    [Show full text]
  • Methodology for the National Accounts Main Aggregates Database CONTENTS
    Methodology for the National Accounts Main Aggregates Database CONTENTS Page I. INTRODUCTION A. Background ................................................................................................................................................................ 2 B. System of National Accounts ..................................................................................................................................... 2 C. Scope of the database ................................................................................................................................................. 2 D. Collection of data ....................................................................................................................................................... 3 E. Comparability of the national estimates ..................................................................................................................... 3 F. Nomenclature ............................................................................................................................................................. 4 G. Country coverage ....................................................................................................................................................... 5 H. Country groupings ...................................................................................................................................................... 5 I. Revisions ...................................................................................................................................................................
    [Show full text]
  • Chapter 1 the Demand for Economic Statistics
    Chapter 1 The Demand for Economic Statistics The media publish economic data on a daily basis. But who decides which statistics are useful and which are not? Why is housework not included in the national income, and why are financial data available in real time, while to know the number of people in employment analysts have to wait for weeks? Contrary to popular belief, both the availability and the nature of economic statistics are closely linked to developments in economic theory, the requirements of political decision-makers, and each country’s way of looking at itself. In practice, statistics are based on theoretical and interpretative reference models, and if these change, so does the picture the statistics paint of the economic system. Thus, the data we have today represent the supply and demand sides of statistical information constantly attempting to catch up with each other, with both sides being strongly influenced by the changes taking place in society and political life. This chapter offers a descriptive summary of how the demand for economic statistics has evolved from the end of the Second World War to the present, characterised by the new challenges brought about by globalisation and the rise of the services sector. 1 THE DEMAND FOR ECONOMIC STATISTICS One of the major functions of economic statistics is to develop concepts, definitions, classifications and methods that can be used to produce statistical information that describes the state of and movements in economic phenomena, both in time and space. This information is then used to analyse the behaviour of economic operators, forecast likely movements of the economy as a whole, make economic policy and business decisions, weigh the pros and cons of alternative investments, etc.
    [Show full text]
  • An Integration of Econometric and Behavioral Economic Research
    This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: The Economic Analysis of Substance Use and Abuse: An Integration of Econometrics and Behavioral Economic Research Volume Author/Editor: Frank J. Chaloupka, Michael Grossman, Warren K. Bickel and Henry Saffer, editors Volume Publisher: University of Chicago Press Volume ISBN: 0-262-10047-2 Volume URL: http://www.nber.org/books/chal99-1 Conference Date: March 27-28, 1997 Publication Date: January 1999 Chapter Title: The Behavioral Economics of Smoking Chapter Author: Warren K. Bickel, Gregory J. Madden Chapter URL: http://www.nber.org/chapters/c11155 Chapter pages in book: (p. 31 - 74) 2 The Behavioral Economics of Smoking Warren K. Bickel and Gregory J. Madden an adequate science of behavior should supply a satisfactory ac- count of individual behavior which is responsible for the data of economics.... -B. F. Skinner (1953) The above quote addresses a point central to our discussion; namely, the rela- tion between the behavior ofindividuals and groups. Traditionally, the behavior of individuals and groups have been the domain of different professions. Indi- vidual behavior was the domain of psychology, while group behavior, in terms of the allocation of scarce resources, was the domain of economics. However, some psychologists in the late 1970s began to observe similarities between the phenomena that they studied and economic concepts and principles (e.g., Alli- son 1979; Green and Rachlin 1975; Hursh 1980; Lea 1978). This precipitated the development of behavioral economics. In the late 1980s, behavioral eco- nomics began to be consistently applied to the study of drug abuse and depen- dence, and today it is an active area of investigation (e.g., Bickel et al.
    [Show full text]
  • Composite Indicators December 2010
    SELECTED READINGS Focus on: Composite indicators December 2010 Selected Readings –December 2010 1 INDEX INTRODUCTION............................................................................................................. 7 1 WORKING PAPERS AND ARTICLES ................................................................ 8 1.1 Castillo C. and Lorenzana T., 2010, “Evaluation of Business Scenarios By Means Of Composite Indicators”, International Association for Fuzzy-set Management and Economy (SIGEF), Fuzzy economic review, Volume XV, Issue 1, Pages: 3-20. ................................................8 1.2 Jürgen Bierbaumer-Polly, 2010, “Composite Leading Indicator for the Austrian Economy. Methodology and "Real-time" Performance”, WIFO Working Papers No. 369..............................8 1.3 Heike Belitz, Marius Clemens, Astrid Cullmann, Christian von Hirschhausen, Jens Schmidt-Ehmcke, Doreen Triebe and Petra Zloczysti, 2010, “Innovation Indicator 2009: Germany Has Still Some Catching Up to Do”, DIW Berlin, German Institute for Economic Research, journal Weekly Report, 2010,Issue 3,Pages: 13-19. ...........................................................9 1.4 Grupp Hariolf and Schubert Torben, 2010, “Review and new evidence on composite innovation indicators for evaluating national performance”, Elsevier Research Policy, Volume 39, Issue 1, Pages: 67-78.......................................................................................................................10 1.5 Laura Trinchera and Giorgio Russolillo, 2010, “On the use
    [Show full text]
  • The University of Chicago
    The University of Chicago uchicago.edu/features/20120507_list Finding new insights with experimental economics John List leads new field with studies ranging from educational incentives to the origins of discrimination. By William Harms Photo by Jason Smith John List’s career as one of the world’s leading researchers in experimental economics got its start with work in one of his teenage interests—buying and selling sports cards. Although it began as a way to fund his undergraduate studies, List saw that the trade was relevant to bigger economic questions. He noticed that women with small children were the most likely to offer higher prices for cards, in part because they did not want to loiter and bargain with their children in tow. Such decisions played into a larger economic picture, he realized. “ Experimental economics is a useful tool to economics because we can generate experiments that test theories. Without those tests, we cannot easily est” —John List Professor “It was a chance to apply what I was learning in college about economics to a real-life situation,” says List, the Homer J. Livingston Professor of Economics. List's hobby helped support the early stages of a scholarly career that has grown to study economic questions in creative ways. Now, List is helping to make UChicago a leading center in the study of experimental economics. The field is also drawing on ideas from preeminent UChicago economists such as Gary Becker, Steven Levitt, and Kevin Murphy, whose research includes work on experimental economics. Rather than using existing economic data, such studies rely on experiments in the field or in classroom settings to shed light on important aspects of economic behavior and how 1/3 markets operate.
    [Show full text]