Impact of Personal Economic Environment and Personality Factors on Individual Financial Decision Making
S. Prinz, G. Gründer, R. D. Hilgers, Oliver Holtemöller, I. Vernaleken
Frontiers in Decision Neuroscience,
No. 158,
2014
Abstract
This study on healthy young male students aimed to enlighten the associations between an individual’s financial decision making and surrogate makers for environmental factors covering long-term financial socialization, the current financial security/responsibility, and the personal affinity to financial affairs as represented by parental income, funding situation, and field of study. A group of 150 male young healthy students underwent two versions of the Holt and Laury (2002) lottery paradigm (matrix and random sequential version). Their financial decision was mainly driven by the factor “source of funding”: students with strict performance control (grants, scholarships) had much higher rates of relative risk aversion (RRA) than subjects with support from family (ΔRRA = 0.22; p = 0.018). Personality scores only modestly affected the outcome. In an ANOVA, however, also the intelligence quotient significantly and relevantly contributed to the explanation of variance; the effects of parental income and the personality factors “agreeableness” and “openness” showed moderate to modest – but significant – effects. These findings suggest that environmental factors more than personality factors affect risk aversion.
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Konjunktur aktuell: Deutsche Wirtschaft erholt sich seit dem Frühjahr
Konjunktur aktuell,
No. 3,
2013
Abstract
Realwirtschaftliche Indikatoren deuten daraufhin, dass die Schwächephase der deutschen Konjunktur im Frühsommer ausläuft. So werden im Baugewerbe die witterungsbedingten Produktionsausfälle aufgeholt, und Aktivitäten zur Beseitigung der Hochwasserschäden kommen hinzu. Auch der private Konsum wirkt stützend. Das Bruttoinlandsprodukt wird im laufenden Jahr wohl um 0,7% und im kommenden Jahr um 2% steigen. Die Arbeitslosenquote wird im Jahr 2013 6,5% und im Jahr 2014 6,1% betragen. Der Finanzierungssaldo der öffentlichen Haushalte wird sich im Jahr 2013 bei einer leicht expansiv ausgerichteten Finanzpolitik geringfügig verschlechtern und im kommenden Jahr aufgrund wieder etwas stärker expandierender Einnahmen einen Überschuss in Höhe von 0,4% in Relation zum Bruttoinlandsprodukt aufweisen. Die Schulden- und Vertrauenskrise im Euroraum stellt nach wie vor das Hauptrisiko für die deutsche Konjunktur dar.
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German Economy Recovering – Long-Term Approach Needed to Economic Policy: Joint Economic Forecast Spring 2013
Dienstleistungsauftrag des Bundesministeriums für Wirtschaft und Technologie,
2013
Abstract
Die Konjunktur in Deutschland ist im Frühjahr 2013 wieder aufwärts gerichtet. Die Lage an den Finanzmärkten hat sich entspannt, nachdem die Unsicherheit über die Zukunft der Europäischen Währungsunion gesunken ist. Auch der weltwirtschaftliche Gegenwind hat nachgelassen. Die Institute erwarten, dass in Deutschland das Bruttoinlandsprodukt in diesem Jahr um 0,8 % (68 %-Prognoseintervall: 0,1 % bis 1,5 %) und im kommenden Jahr um 1,9 % zunimmt. Die Zahl der Arbeitslosen dürfte weiter zurückgehen und im Jahresdurchschnitt bei 2,9 Mill. in diesem bzw. 2,7 Mill. Personen im nächsten Jahr liegen. Die Inflationsrate wird im laufenden Jahr auf 1,7 % zurückgehen, bevor sie bei zunehmender Kapazitätsauslastung im kommenden Jahr auf 2,0 % anzieht. Der Staatshaushalt wird im Jahr 2013 annähernd ausgeglichen sein und im Jahr 2014 dank der günstigeren Konjunktur einen Überschuss von 0,5 % in Relation zum Bruttoinlandsprodukt aufweisen. Die Wirtschaftspolitik sollte jetzt die lange Frist wieder stärker in den Blick nehmen. Zwar haben strukturelle Anpassungsprozesse in den Krisenländern inzwischen begonnen, institutionelle Probleme im Euroraum sind aber noch nicht gelöst. Der deutsche Staatshaushalt ist auch demografiebedingt langfristig erheblichen Belastungen ausgesetzt.
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Financial Factors in Macroeconometric Models
Sebastian Giesen
Volkswirtschaft, Ökonomie, Shaker Verlag GmbH, Aachen,
2013
Abstract
The important role of credit has long been identified as a key factor for economic development (see e.g. Wicksell (1898), Keynes (1931), Fisher (1933) and Minsky (1957, 1964)). Even before the financial crisis most researchers and policy makers agreed that financial frictions play an important role for business cycles and that financial turmoils can result in severe economic downturns (see e.g. Mishkin (1978), Bernanke (1981, 1983), Diamond (1984), Calomiris (1993) and Bernanke and Gertler (1995)). However, in practice researchers and policy makers mostly used simplified models for forecasting and simulation purposes. They often neglected the impact of financial frictions and emphasized other non financial market frictions when analyzing business cycle fluctuations (prominent exceptions include Kiyotaki and Moore (1997), Bernanke, Gertler, and Gilchrist (1999) and Christiano, Motto, and Rostagno (2010)). This has been due to the fact that most economic downturns did not seem to be closely related to financial market failures (see Eichenbaum (2011)). The outbreak of the subprime crises ― which caused panic in financial markets and led to the default of Lehman Brothers in September 2008 ― then led to a reconsideration of such macroeconomic frameworks (see Caballero (2010) and Trichet (2011)). To address the economic debate from a new perspective, it is therefore necessary to integrate the relevant frictions which help to explain what we have experienced during recent years.
In this thesis, I analyze different ways to incorporate relevant frictions and financial variables in macroeconometric models. I discuss the potential consequences for standard statistical inference and macroeconomic policy. I cover three different aspects in this work. Each aspect presents an idea in a self-contained unit. The following paragraphs present more detail on the main topics covered.
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Related Variety, Unrelated Variety and Regional Functions: A spatial panel approach
Matthias Brachert, Alexander Kubis, Mirko Titze
Papers in Evolutionary Economic Geography,
2013
Abstract
The paper presents estimates for the impact of related variety, unrelated variety and the functions a region performs in the production process on regional employment growth in Germany. We argue that regions benefit from the existence of related activities that facilitate economic development. Thereby the sole reliance of the related and unrelated variety concept on standard industrial classifications (SIC) remains debatable. We offer estimations for establishing that conceptual progress can be made when the focus of analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety and test our hypothesis by the help of spatial panel approach. Our findings suggest that related variety as same as unrelated variety facilitate regional employment growth in Germany. However, the drivers behind these effects do differ. While the positive effect of related variety is driven by high degrees of relatedness in the regional “R&D” and “White-Collar”-functions, the effects of unrelated variety are spurred by “Blue Collar”-functions in this period.
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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, i.e. a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonably well in forecasting (outperforming a probit benchmark), there are substantial identification problems. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, the Qual VAR is inadvisable.
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Does Central Bank Staff Beat Private Forecasters?
Makram El-Shagi, Sebastian Giesen, A. Jung
IWH Discussion Papers,
No. 5,
2012
Abstract
In the tradition of Romer and Romer (2000), this paper compares staff forecasts of the Federal Reserve (Fed) and the European Central Bank (ECB) for inflation and output with corresponding private forecasts. Standard tests show that the Fed and less so the ECB have a considerable information advantage about inflation and output. Using novel tests for conditional predictive ability and forecast stability for the US, we identify the driving forces of the narrowing of the information advantage of Greenbook forecasts coinciding with the Great Moderation.
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The Structural Determinants of the US Competitiveness in the Last Decades: A 'Trade-Revealing' Analysis
Massimo Del Gatto, Filippo di Mauro, Joseph Gruber, Benjamin Mandel
ECB Working Paper,
No. 1443,
2012
Abstract
We analyze the decline in the U.S. share of world merchandise exports against the backdrop of a model-based measure of competitiveness. We preliminarily use constant market share analysis and gravity estimations to show that the majority of the decline in export shares can be associated with a declining share of world income, suggesting that the dismal performance of the U.S. market share is not a sufficient statistic for competitiveness. We then derive a computable measure of country-sector specific real marginal costs (i.e. competitiveness) which, insofar it is inferred from actual trade ows, is referred to as 'revealed'. Brought to the data, this measure reveals that most U.S. manufacturing industries are losing momentum relative to their main competitors, as we find U.S. revealed marginal costs to grow by more than 38% on average. At the sectoral level, the "Machinery" industry is the most critical.
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The Performance of Short-term Forecasts of the German Economy before and during the 2008/2009 Recession
Katja Drechsel, Rolf Scheufele
International Journal of Forecasting,
No. 2,
2012
Abstract
The paper analyzes the forecasting performance of leading indicators for industrial production in Germany. We focus on single and pooled leading indicator models both before and during the financial crisis. Pairwise and joint significant tests are used to evaluate single indicator models as well as forecast combination methods. In addition, we investigate the stability of forecasting models during the most recent financial crisis.
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