The 34Th International Symposium on Forecasting Economic Forecasting Past, Present and Future
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Seminar to Advanced Macroeconomics
Seminar to Advanced Macroeconomics Jaromír Baxa IES FSV UK, WS 2010/2011 Introduction Aim of the seminar: Overview over empirical methods used in macro to make your horizons wider. Easy applications of econometrics to macroeconomic topics discussed in the lectures Using econometric software Talking about your Project Tasks and discussion about Problem Sets Why Empirical Seminar? The Role of Empirical Work in Macro Correspondence between the theory and real data Forecasting and economic policy Finding empirical evidence to build new theories Fundamental ucertainty in econometrics: choice of variables => Robustness over different datasets, over different additional variables... => We should always keep in mind this uncertainty and ask: Are my results good because of the datasets? Methods Descriptive statistics, tests... Some nonparametric methods: tests, density estimates Linear Regression Panel data regression Principal Components method Time series: seasonal adjustment, trends... Dynamic models (very brief introduction) ... Software You can't do empirical work without it. There are many software packages for econometrics: Commercial: TSP, SAS, Stata, E-views, PC-Give, Gauss, S-Plus and many others Freeware/Open Source/Shareware without limitations: Gretl, R-Project, Ox See http://freestatistics.altervista.org/stat.php for comprehensive list. Use whatever you want to And bring your laptop with (if you can) Gretl Available in Room 016: TSP (GiweWin GUI), SPSS for Windows 10.0, R (with necessary libraries), Gretl, JMulti Gretl: http://gretl.sourceforge.net, GNU GPL licence, crossplatform. Have a look into documentation: manual as an textbook available. Don't forget to install seasonal adjustment methods, we will use them in a couple of weeks. -
Museum Zoekt Kopers Van Afrikaanse Kunst Nut En Noodzaak Van De
Erasmus Magazine De stijl van Romy Uit het Broek (18) Student Psychologie #05 17 oktober 2013 www.erasmusmagazine.nl EXCELLENT ZWOEGEN Museum zoekt Nut en noodzaak Censuur in kopers van van de Faculteit virologenland Afrikaanse kunst Wijsbegeerte inside International pages Overstijg jezelf Lanceer je carrière bij Deloitte De keuze van je eerste werkgever is heel belangrijk. Je wilt goed beginnen en ambities kunnen waarmaken. Daarom is er geen betere plek om je carrière te starten dan bij Deloitte. En dat heeft alles te maken met de mogelijkheden die je krijgt aangereikt. Je werkt al snel voor verschillende opdrachtgevers aan interessante projecten. Dat maakt je werk afwisselend en inspirerend. Met je eigen initiatieven en ideeën geef je richting aan je carrière. Bij Deloitte is de ambitie letterlijk voelbaar en dat motiveert. Je leert snel, je groeit snel en stijgt boven jezelf uit. Lanceer je carrière en kijk opwerkenbijdeloitte.nl © 2013 Deloitte The Netherlands INHOUD 17 oktober 2013 | 03 De Kwestie 06 14 06 | Gezocht: kopers van Afrikaanse kunst De culturele sector moet zijn eigen broek ophouden. Waarom verbiedt wethouder Antoinette Laan (Cultuur) het Wereldmuseum dan om de Afrikacollectie te verkopen? Cultureel econoom Filip Vermeylen over ‘ontzameling’ bij musea: “Dit schept een heel gevaarlijk precedent.” Coververhaal 14 | Excellent zwoegen Overal waar de eerstejaars van het Erasmus University College komen, zingt het woord excellentie rond. De 18 verwachtingen zijn torenhoog. Hard studeren is een vereiste, maar gelukkig wordt er ook een beetje gefeest. Achtergrond 18 | Nut en noodzaak van de Wijsbegeerte Wijsbegeerte behoort tot de faculteiten van de EUR die in financieel zwaar weer terecht zijn gekomen. -
8 the Software Jmulti
P1: IML CB698-Driver CB698-LUTKEPOHI CB698-LUTKEPOHI-Sample.cls August 25, 2006 17:44 8 The Software JMulTi Markus Kr¨atzig 8.1 Introduction to JMulTi 8.1.1 Software Concept This chapter gives a general overview of the software by which the examples in this book can be reproduced; it is freely available via the Internet.1 The information given here covers general issues and concepts of JMulTi. Detailed descriptions on how to use certain methods in the program are left to the help system installed with the software. JMulTi is an interactive JAVA application designed for the specific needs of time series analysis. It does not compute the results of the statistical calcu- lations itself but delegates this part to a computational engine via a communi- cations layer. The range of its own computing functions is limited and is only meant to support data transformations to provide input for the various statistical routines. Like other software packages, JMulTi contains graphical user interface (GUI) components that simplify tasks common to empirical analysis – espe- cially reading in data, transforming variables, creating new variables, editing data, and saving data sets. Most of its functions are accessible by simple mouse interaction. Originally the software was designed as an easy-to-use GUI for complex and difficult-to-use econometric procedures written in GAUSS that were not available in other packages. Because this concept has proved to be quite fruit- ful, JMulTi has now evolved into a comprehensive modeling environment for multiple time series analysis. The underlying general functionality has been bundled in the software framework JStatCom, which is designed as a ready-made platform for the creation of various statistical applications by developers. -
Using the Vars Package
Using the vars package Dr. Bernhard Pfaff, Kronberg im Taunus September 9, 2007 Abstract The utilisation of the functions contained in the package ‘vars’ are ex- plained by employing a data set of the Canadian economy. The package’s scope includes functions for estimating vector autoregressive (henceforth: VAR) and structural vector autoregressive models (henceforth: SVAR). In addition to the two cornerstone functions VAR() and SVAR() for estimat- ing such models, functions for diagnostic testing, estimation of restricted VARs, prediction of VARs, causality analysis, impulse response analysis (henceforth: IRA) and forecast error variance decomposition (henceforth: FEVD) are provided too. In each section, the underlying concept and/or method is briefly explained, thereby drawing on the exibitions in Lutke-¨ pohl [2006], Lutkepohl,¨ Kr¨atzig, Phillips, Ghysels & Smith [2004], Lutke-¨ pohl & Breitung [1997], Hamilton [1994] and Watson [1994]. The package’s code is purely written in R and S3-classes with methods have been utilised. It is shipped with a NAMESPACE and a ChangeLog file. It has dependencies to MASS (see Venables & Ripley [2002]) and strucchange (see Zeileis, Leisch, Hornik & Kleiber [2002]). Contents 1 Introduction 2 2 VAR: Vector autoregressive models 2 2.1 Definition . 2 2.2 Estimation . 3 2.3 Restricted VARs . 7 2.4 Diagnostic testing . 9 2.5 Causality Analysis . 14 2.6 Forecasting . 17 2.7 Impulse response analysis . 19 2.8 Forecast error variance decomposition . 21 3 SVAR: Structural vector autoregressive models 23 3.1 Definition . 23 3.2 Estimation . 24 3.3 Impulse response analysis . 27 3.4 Forecast error variance decomposition . 28 4 VECM to VAR 28 1 1 Introduction Since the critique of Sims [1980] in the early eighties of the last cen- tury, VAR analysis has evolved as a standard instrument in econometrics for analysing multivariate time series. -
The Urban and Cultural Climate of Rotterdam Changed Radically Between 1970 and 2000. Opinions Differ About What the Most Importa
The urban and cultural climate of Rotterdam changed radically between 1970 and 2000. Opinions differ about what the most important changes were, and when they occurred. Imagine a Metropolis shows that it was first and foremost a new perspective on Rotterdam that stimulated the development of the city during this period. If the Rotterdam of 1970 was still a city with an identity crisis that wanted to be small rather than large and cosy rather than commercial, by 2000 Rotterdam had the image of the most metropolitan of all Dutch cities. Artists and other cultural practitioners – a group these days termed the ‘creative class’ – were the first to advance this metropolitan vision, thereby paving the way for the New Rotterdam that would begin to take concrete shape at the end of the 1980s. Imagine a Metropolis goes on to show that this New Rotterdam is returning to its nineteenth-century identity and the developments of the inter-war years and the period of post-war reconstruction. For Nina and Maria IMAGINE A METROPOLIS ROTTERDAM’S CREATIVE CLASS, 1970-2000 PATRICIA VAN ULZEN 010 Publishers, Rotterdam 2007 This publication was produced in association with Stichting Kunstpublicaties Rotterdam. On February 2, 2007, it was defended as a Ph.D. thesis at the Erasmus University, Rotterdam. The thesis supervisor was Prof. Dr. Marlite Halbertsma. The research and this book were both made possible by the generous support of the Faculty of History and Arts at the Erasmus University Rotterdam, G.Ph. Verhagen-Stichting, Stichting Kunstpublicaties Rotterdam, J.E. Jurriaanse Stichting, Prins Bernhard Cultuurfonds Zuid-Holland and the Netherlands Architecture Fund. -
Economic Theory and Econometric Methods in Spatial Market Integration Analysis
ECONOMIC THEORY AND ECONOMETRIC METHODS IN SPATIAL MARKET INTEGRATION ANALYSIS Dissertation to obtain the Ph. D. degree in the International Ph. D. Program for Agricultural Sciences in Göttingen (IPAG) at the Faculty of Agricultural Sciences, Georg-August-University Göttingen, Germany presented by Sergio René Araujo Enciso born in Ciudad de México, D.F, México Göttingen, March 2012 D7 1. Name of supervisor: Prof. Dr. Stephan v.Cramon-Taubadel 2. Name of co-supervisor: Prof. Dr. Bernhard Brümmer 3. Name of a further member of the examination committee: J-Prof. Xiaohua Yu, Ph.D. Date of dissertation: May the 30th, 2012 For Rosi, René, Mónica, Móniquita, Dolores, Raúl, Julia, Luz María, Dolores & José Acknowledgments-Agradecimientos Through the last six year, I have been living is a sort of self-exile driven by my own ideas about experiencing life in a foreign country. At this stage I feel alienated not only here, but at homeland as well. Somehow, as one Professor once said: “You will become a citizen of the world”, so that defining homeland is no longer straightforward in my situation. Along with the many sacrifices, i.e. spicy food, that have been done for pursuing a life abroad, there are invaluable rewards; the most important for sure is the chance of meeting wonderful people trough the journey. Especially, I am grateful to my supervisors: Prof. Dr. von Cramon-Taubadel for the lively discussions and for being supportive during my studies, Prof. Dr. Bernhard Brümmer for awakening my interest in quantitative methods during the lectures and for his valuable recommendations, and J-Prof. -
International Master's Programmes
International Master’s Programmes 2015-2016 Master’s programmes 2015-2016 1 ‘Studying Content Welcome by the Dean 5 Erasmus University Rotterdam 7 is taken Erasmus School of Economics 9 Master’s programmes 10 MSc Accounting, Auditing and Control 14 Accounting and Auditing (also part-time) 16 seriously Accounting and Control 17 Accounting and Finance 18 MSc Economics and Business Economics 21 Behavioural Economics 22 here’ Economics of Management and Organisation 23 Entrepreneurship and Strategy Economics 24 Financial Economics 25 Health Economics 26 International Economics 27 Marketing 28 Policy Economics 29 Urban, Port and Transport Economics 30 MSc Econometrics and Management Science 32 Business Analytics and Quantitative Marketing 34 Econometrics 35 Operations Research and Quantitative Logistics 36 Quantitative Finance 37 Research Master’s programmes 38 Master of Philosophy in Economics 40 Master of Philosophy in Business Research 41 Post-experience Master’s programmes 42 Maritime Economics and Logistics 44 Urban Management and Development 45 Application and Admission 47 Practical information 49 The Netherlands and Rotterdam 53 Student life in Rotterdam 55 Useful addresses and websites 59 2 Master’s programmes 2015-2016 Master’s programmes 2015-2016 3 Welcome by the Dean he realisation that a country’s international research, the school is able to adjust rapidly to significance is largely determined by its changes in the business environment. The school ‘T role in world trade was one which underlay hosts many of the world’s experts in their fields of the foundation of the ‘Nederlandse Handels- research and offers top level Bachelor’s, Master’s and Hoogeschool’ (‘Netherlands School of Commerce’), post-experience Master’s programmes in all major a forerunner of Erasmus School of Economics. -
Online Application Form
Announcement German-Ukrainian Agricultural Economics Summer School in Germany Time Series Analysis in Agricultural and Food Markets Funded by DAAD through funds of the German Federal Foreign Office (AA) Organizers Martin Luther University Halle – Wittenberg (MLU) in cooperation with Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle, Germany Partners Kyiv School of Economics (KSE), Kyiv, Ukraine; UaFoodTrade Pilot Project; Christian Albrecht University of Kiel, Germany, Georg August University of Göttingen, Germany Time period From 13th to 26th of September, 2020 Location Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Str. 2, 06120 Halle (Saale), Germany Lecturers Prof. Dr. Bernhard Brümmer (University of Göttingen), Prof. Dr. Jens-Peter Loy (University of Kiel), Dr. Oleksandr Perekhozhuk (IAMO) Description/ The summer school is aimed at Ukrainian doctoral candidates and master’s students in the field of Main topics agricultural economics. The Participants are supposed to learn to bridge the gap between standard introductory econometrics at the MSc level and modern time series techniques as used in concurrent publications in the AgEcon literature by presenting some theoretical background of these methods and illustrating applications in agricultural economics in order to enable participating students to apply these tools in their research. During the social programme the Ukrainian Participants will get to know details and information about the German inner- and outer university research system in Agricultural studies. They will also get practical insights in selected research institutes and companies of the agricultural and food sector in Saxony-Anhalt. Teaching Tours (20%), lectures and seminars (60%), classroom exercises and group work (20%) methods Grading For a certificate of successful participation, participants are required to pass an examination (written, 50 %) and computer assignment (50 %). -
Package 'Rgretl'
Package ‘Rgretl’ March 7, 2018 Type Package Title Interface to 'gretlcli' Version 0.2.1 Date 2018-03-07 Author Oleh Komashko Maintainer Oleh Komashko <[email protected]> Depends R (>= 3.4.0) Imports compiler, lubridate, png, xml2 LazyData yes SystemRequirements gretl (>= 2016c), gretlcli Description An interface to 'GNU gretl': running 'gretl' scripts from, estimating econometric models with backward passing of model results, opening 'gretl' data files (.gdt). 'gretl' can be downloaded from <http://gretl.sourceforge.net>. This package could make life on introductory/intermediate econometrics courses much easier: full battery of the required regression diagnostics, including White's heteroskedasticity test, restricted ols estimation, advanced weak instrument test after iv estimation, very convenient dealing with lagged variables in models, standard case treatment in unit root tests, vector auto- regressions, and vector error correction models. Datasets for 8 popular econometrics textbooks can be installed into 'gretl' from its server. All datasets can be easily imported using this package. License GPL (>= 2) NeedsCompilation no Repository CRAN Date/Publication 2018-03-07 04:05:46 UTC R topics documented: Rgretl-package . .2 datasets_info . .7 description . .8 find_sample . .9 1 2 Rgretl-package get_grwd . 10 greene . 11 gretl . 11 grmod . 12 merge_data . 14 open_gdt . 15 ramanathan . 16 run_grcli . 17 save_bin . 18 save_gdt . 19 show_sample . 20 Index 22 Rgretl-package Interface to gretlcli Description An interface to GNU gretl: running -
Bestuursverslag 2015
Bestuursverslag 2015 Bestuursverslag 2015 2 Inhoudsopgave Bericht Raad van Toezicht 5 Voorwoord College van Bestuur 7 1 Codarts Rotterdam 9 1.1 Missie, visie en kernwaarden 9 1.2 Opleidingen 10 1.3 Afdelingen 11 1.4 Kengetallen 12 2 Studenten 2015 13 3 Onderwijs 22 3.1 Hogeschoolbreed 22 3.2 HMD en talentonderwijs 25 3.3 Muziek 28 3.4 Dans 38 3.5 Circus 41 3.6 Student Life 42 3.7 Examencommissie 45 4 Onderzoek 49 4.1. De onderzoeksagenda 49 4.2 Codarts Research 50 4.3 Kwaliteitszorg Onderzoek 50 4.4 De lectoraten 51 4.5 RASL 55 4.6 Netwerken 55 4.7 Kengetallen Onderzoek 56 5 Faciliteren en faciliteiten 57 5.1. Huisvesting en IT 57 5.2 Mediatheek 58 5.3 Communicatie & PR 59 6 De kwaliteit verzekerd 61 6.1 Kwaliteitszorgsysteem 61 6.2 Resultaten 62 Bestuursverslag 2015 3 7 Organisatie en bestuur 65 7.1 Bestuur 65 7.2 Strategische Agenda 66 7.3 Horizontale en verticale verantwoording 67 7.4 Verslag van de Raad van Toezicht 68 7.5 Verslag van de Medezeggenschapsraad 70 8 Sociaal jaarverslag 74 8.1 Personeel en organisatie 74 8.2 Arbeidsomstandigheden en ziekteverzuim 79 8.3 Arbeidsvoorwaarden 81 8.4 Kengetallen personeel 85 9 Prestatieafspraken 87 9.1 Onderwijs 87 9.2 Onderzoek en valorisatie 88 10 Financiën 91 10.1 Algemeen 91 10.2 Exploitatieresultaat 92 10.3 Balans 94 10.4 Kasstroomoverzicht 96 10.5 Continuïteitsparagraaf 97 10.6 Risicoanalyse en interne beheersing 100 Bijlagen 103 1 Bezoldiging en declaraties Collega van Bestuur 103 2a Samenstelling Raad van Toezicht 104 2b Rooster van aan- en aftreden Raad van Toezicht 105 3 Notitie Helderheid 105 4 Participatie in netwerken 106 5 Erasmus-partners 107 Tekenblad 109 Bestuursverslag 2015 4 Bericht Raad van Toezicht ‘De hoofdzaak zijn en blijven de studenten en docenten’ Wel eens een dichter zien dichten in gezelschap? Schilders maken hun werk doorgaans zonder toeschouwers. -
The R Project for Statistical Computing a Free Software Environment For
The R Project for Statistical Computing A free software environment for statistical computing and graphics that runs on a wide variety of UNIX platforms, Windows and MacOS OpenStat OpenStat is a general-purpose statistics package that you can download and install for free. It was originally written as an aid in the teaching of statistics to students enrolled in a social science program. It has been expanded to provide procedures useful in a wide variety of disciplines. It has a similar interface to SPSS SOFA A basic, user-friendly, open-source statistics, analysis, and reporting package PSPP PSPP is a program for statistical analysis of sampled data. It is a free replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions TANAGRA A free, open-source, easy to use data-mining package PAST PAST is a package created with the palaeontologist in mind but has been adopted by users in other disciplines. It’s easy to use and includes a large selection of common statistical, plotting and modelling functions AnSWR AnSWR is a software system for coordinating and conducting large-scale, team-based analysis projects that integrate qualitative and quantitative techniques MIX An Excel-based tool for meta-analysis Free Statistical Software This page links to free software packages that you can download and install on your computer from StatPages.org Free Statistical Software This page links to free software packages that you can download and install on your computer from freestatistics.info Free Software Information and links from the Resources for Methods in Evaluation and Social Research site You can sort the table below by clicking on the column names. -
Testing Market Structure Assumptions for DSGE Modelling in Croatia Using the SVAR Model with Long-Run Restrictions
Croatian Operational Research Review 19 CRORR 8(2017), 19–31 Testing market structure assumptions for DSGE modelling in Croatia using the SVAR model with long-run restrictions 1,† 1 1 Irena Palić , Ksenija Dumičić and Dajana Barbić 1Department of Statistics, Faculty of Economics and Business, University of Zagreb Trg J.F. Kennedy 6, HR-10000 Zagreb, Croatia E-mail: 〈{ipalic, kdumicic, dbarbic }@efzg.hr 〉 Abstract. Assumptions on market structure are crucial in formulating dynamic stochastic general equilibrium (DSGE) models. The inclusion of the price stickiness assumption in DSGE models has questioned the money neutrality, which is a characteristic of DSGE models with perfect competition, and has thus opened the space for monetary policy analysis. One of the criteria used to determine which DSGE models are better suited to the characteristics of an observed empirical economy is the impact of technology shocks in the structural vector autoregression (SVAR) model with long-run restrictions. In DSGE models, assuming perfect competition with no price rigidity, i.e. real business cycle (RBC) models, changes in productivity that are driven by productivity shocks increase employment. On the other hand, new Keynesian (NK) models that assume imperfect competition and price rigidities, suggest that technological shocks decrease employment, since companies cannot adjust to excess production by reducing prices. In order to assess the impact of productivity shocks, the SVAR model with long-run restrictions is estimated using data on labour productivity, working hours and consumption in Croatia. The estimated impact of labour productivity shocks on working hours is statistically significant and negative, whereas the estimated impact on consumption is statistically significant and positive.