Social security and saving — A critical note on the feldstein hypothesis

Zusammenfassung In der vorliegenden Arbeit wird versucht, Feldsteins Hypothese, wonach die Sozialversicherung das Sparen dämpft, an Hand internationaler Querschnittdaten zu überprüfen. Ausgehend von einem Ansatz, den Feldstein aufbauend auf das Lebenszyklusmodell in den Jahren 1977 und 1980 entwickelte, wird versucht, die Validität der Ergebnisse in bezug auf Änderungen in den Variablendefinitionen, der Zeitperiode sowie der Sampleauswahl aufzuzeigen. Weiters wird der Einfluß von geringen Modellmodifikationen (Berücksichtigung der Arbeitslosenrate als Unsicherheits-bzw. Stimmungsindikator) sowie Änderungen der Schätzmethode (gewogene oder ungewogene Regression bzw. OLS oder TSLS) auf die Resultate untersucht. Die Ergebnisse zeigen, daß die Feldstein-Hypothese keineswegs als ein empirisch allgemein gültiges Gesetz angesehen werden kann, sondern eher als zufällig zustandegekommen.     

Kurz Kommentiert

KURZ KOMMENTIERT

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Information Cascades in the Labor Market

A model of herding behavior in the labor market is presented where employers receive signals with limited precision about the workers types, and can observe previous employers decisions. Both the employer and the worker can influence the signal probabilities. In particular, the employer tries to increase the precision of the signal about the workers type whereas the worker wants to get a good signal, independent of her type. In a two-period model, we derive conditions for an equilibrium in which only down-cascades occur, i.e., the second employer does not hire a worker with a bad history even if he receives a favorable private signal about the workers type, but he follows his own signal if the workers history is good.     

Notes and Communications

Note

Notes and Communications     

Forecasting Housing Approvals in Australia: Do Forecasters Herd?

Price trends in housing markets may reflect herding of market participants. A natural question is whether such herding, to the extent that it occurred, reflects herding in forecasts of professional forecasters. Using more than 6,000 forecasts of housing approvals for Australia, we did not find evidence of forecaster herding. On the contrary, forecasters anti‐herd and, thereby, tend to intentionally scatter their forecasts around the consensus forecast. The extent of anti‐herding seems to vary over time. We also found that more pronounced anti‐herding leads to less accurate forecasts.     

Income and distance elasticities of values of travel time savings: New Swiss results

This paper presents the findings of a study looking into the valuation of travel time savings (VTTS) in Switzerland, across modes as well as across purpose groups. The study makes several departures from the usual practice in VTTS studies, with the main one being a direct representation of the income and distance elasticity of the VTTS measures. Here, important gains in model performance and significantly different results are obtained through this approach. Additionally, the analysis shows that the estimation of robust coefficients for congested car travel time is hampered by the low share of congested time in the overall travel time, and the use of an additional rate-of-congestion coefficient, in addition to a generic car travel time coefficient, is preferable. Finally, the analysis demonstrates that the population mean of the indicators calculated is quite different from the sample means and presents methods to calculate those, along with the associated variances. These variances are of great interest as they allow the generation of confidence intervals, which can be extremely useful in cost-benefit analyses.     

The Relevance of Financial versus Non-Financial Information for the Valuation of Venture Capital-Backed Firms

This study examines the relevance of financial and non-financial information for the valuation of venture capital (VC) investments. Based on a hand-collected data set on venture-backed start-ups in Germany, we investigate the internal due diligence documents of over 200 investment rounds. We document that balance sheet and income statement items capture as much economic content as verifiable non-financial information (e.g. team experience or the number of patents) while controlling for several deal characteristics (e.g. industry, investment round, or yearly VC fund inflows). In addition, we show that valuations based on accounting and non-accounting information yield a level of valuation accuracy that is comparable to that of publicly traded firms. Further analyses show that the industry-specific total asset multiples outperform the popular revenue multiples but lead to significantly less accurate results than those obtained from the more comprehensive valuation models. Overall, our findings might inform researchers and standard-setters of the usefulness of accounting information for investment companies and provide additional evidence to gauge the overall valuation accuracy in VC settings.     

Exchange rate pass-through and credit constraints

The macroeconomic evidence of the short-term impact of exchange rates on exports and prices is notoriously weak. This paper examines the microfoundations of this disconnect. I study the response of firms' export and price setting decisions to fluctuations in exchange rates and credit conditions using firm-level survey data. Financially constrained firms pass through exchange rate changes to prices at almost twice the rate of unconstrained firms. Similarly, their export volumes are about twice as sensitive to exchange rate fluctuations. The effect of borrowing constraints is particularly strong during the recent financial crisis.     

Forecasting metal prices: Do forecasters herd?

We analyze more than 20,000 forecasts of nine metal prices at four different forecast horizons. We document that forecasts are heterogeneous and report that anti-herding appears to be a source of this heterogeneity. Forecaster anti-herding reflects strategic interactions among forecasters that foster incentives to scatter forecasts around a consensus forecast.     

The effect of the interbank network structure on contagion and common shocks

This paper proposes a dynamic multi-agent model of a banking system with central bank. Banks optimize a portfolio of risky investments and riskless excess reserves according to their risk, return, and liquidity preferences. They are linked via interbank loans and face stochastic deposit supply. Comparing different interbank network structures, it is shown that money-centre networks are more stable than random networks. Evidence is provided that the central bank stabilizes interbank markets in the short run only. Systemic risk via contagion is compared with common shocks and it is shown that both forms of systemic risk require different optimal policy responses.