Competition versus cooperation: How technology-facilitated social interdependence initiates the self-improvement chain

Consumers are increasingly using technologies such as wearables or mobile apps to achieve their self-improvement goals. Such technologies often contain features that enable social interdependence (competition or cooperation) among users to support them in improving their engagement, performance, and well-being (life satisfaction and personal growth). However, the critical question remains: does competition or cooperation best serve users in attaining these self-improvement goals? Evidence from an online experiment and a field study reveals that competition is more effective in driving performance and personal growth, while cooperation is superior in terms of behavioral engagement and life satisfaction. Furthermore, the results indicate that the effects are mediated by strive for success and fear of failure, two counteracting psychological processes. While competition is the stronger trigger for both pathways, downstream effects vary depending on the self-improvement goal considered. This research thus provides insights into whether and how users can best realize their self-improvement goals using technologies that include social features.     

Whose trades convey information? Evidence from a cross-section of traders

This paper contributes empirically to our understanding of informed traders. It analyzes traders’ characteristics in a foreign exchange electronic limit order market via anonymous trader identities. We use six indicators of informed trading in a cross-sectional multivariate approach to identify traders with high price impact. More information is conveyed by those traders’ trades which—simultaneously—use medium-sized orders (practice stealth trading), have large trading volume, are located in a financial center, trade early in the trading session, at times of wide spreads and when the order book is thin.     

The diversity of forecasts from macroeconomic models of the US economy

This paper investigates the accuracy and heterogeneity of output growth and inflation forecasts during the current and the four preceding NBER-dated US recessions. We generate forecasts from six different models of the US economy and compare them to professional forecasts from the Federal Reserve??s Greenbook and the Survey of Professional Forecasters (SPF). The model parameters and model forecasts are derived from historical data vintages so as to ensure comparability to historical forecasts by professionals. The mean model forecast comes surprisingly close to the mean SPF and Greenbook forecasts in terms of accuracy even though the models only make use of a small number of data series. Model forecasts compare particularly well to professional forecasts at a horizon of three to four quarters and during recoveries. The extent of forecast heterogeneity is similar for model and professional forecasts but varies substantially over time. Thus, forecast heterogeneity constitutes a potentially important source of economic fluctuations. While the particular reasons for diversity in professional forecasts are not observable, the diversity in model forecasts can be traced to different modeling assumptions, information sets and parameter estimates.     

Monetary Policy in Austria–Hungary, 1876–1913: An Econometric Analysis of the Determinants of the Central Bank’s Discount Rate and the Liquidity Ratio

This paper presents a model to explain the official discount rate of the Central Bank of Austria–Hungary from 1876 to 1913. The discount rate is assumed to depend on the liquidity ratio of the Bank, defined as the ratio of its stock of metals to banknotes issued, and on changes in foreign discount rates. The paper also presents an equation explaining the liquidity ratio. We use “not equally spaced chronologically ordered data” referring to the 50 discount rate changes enacted. The regressions confirm that the liquidity ratio was the main determinant of the discount rate and that Germany (and not Great Britain) played a significant role in determining the Austro–Hungarian discount rate and the liquidity ratios, supporting the view that the classical gold standard was a decentralized multipolar system rather than a system fully dominated by London as suggested by Keynes. The regressions also suggest that, although Austria–Hungary had an inconvertible paper currency (1879–1892) and fluctuating exchange rates (1876–1895) and formally joined the gold standard only in 1902, it “shadowed” the behaviour of gold standard Central Banks with such consistency that the stability of the estimated regressions was relatively unaffected by the frequent institutional changes.

Tax contracts and elections

In this paper we examine the impact of tax contracts as a novel institution on elections, policies, and welfare. We consider a political game in which three parties compete to form the government and voters may behave strategically. Parties have policy preferences about the level of public-good provision and benefit from perks when in office. A government raises taxes for both purposes. We show that tax contracts yield moderate policies and lead to lower perks by avoiding the formation of grand coalitions in order to win government. Moreover, in polarized societies they unambiguously improve the welfare of the median voter.     

Marketing messbar machen — die wirkung von empfehlungsnetzwerken auf die marketing performance

Netzwerke und Kooperationen sind entscheidende Instrumente zur Steigerung des Unternehmenswertes. Bisher haben sich Ans?tze hier auf die Unternehmensseite (Wertsch?pfungs-, Entwicklungsund Vertriebsnetzwerke) konzentriert. In jüngster Zeit rücken auch Netzwerke auf Nachfragerseite etwa in Form von Kommunikations- und Empfehlungsnetzwerken zunehmend in den Blickpunkt. Solche sozialen Netzwerke k?nnen gerade durch Marketingma?nahmen initiiert und gestaltet werden. Sie sind zentrale Stellhebel zur Steigerung der Marketing Performance und somit zur Legitimierung der Marketingfunktion.