Social Security and the increasing longevity gap

Growth in overall life expectancy is straining the Social Security budget, and the gap in life expectancy between the rich and poor is widening. Motivated by these facts, this paper does four things. First, we develop a simple way to summarize the degree of progressivity in a Social Security system. Second, we show that growth in the life expectancy gap over the last few decades unwinds three-quarters of the progressivity of the Social Security system. Third, we develop simple reforms to Social Security that maintain the progressivity of the system and restore fiscal solvency. Fourth, we estimate the welfare effects of these potential reforms.     

Do foreign exchange forecasters apply asymmetric loss functions? Evidence from three major exchange rates

This article investigates which type of loss function is consistent with the hypothesis that major exchange rate forecasts, i.e. the euro, the British pound, and the Japanese yen vis-à-vis the US dollar, are rational. We apply a comprehensive data set, which also allows us to examine different forecast horizons and heterogeneity of forecasters.     

Determinants of idea sharing in crowdsourcing: evidence from the automotive industry

Drawing on external ideas through crowdsourcing has become common practice for firms that seek to improve and extend their product portfolios. As these initiatives often address the users of products, it is essential for firms to recognize those attributes that determine these individuals' willingness to share their ideas. This study takes the example of the automotive industry to examine how three attributes of car drivers determine their sharing behavior – that is, altruism, psychological ownership of ideas, and trust in car manufacturers. Our findings suggest that trust and altruism strengthen idea sharing, while psychological ownership weakens it. Furthermore, we find that car drivers' perception of sharing‐related risk acts as an important boundary condition for these relationships.     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

Monetary Policy Implementation: Making Better and More Consistent Use of the Federal Reserve's Balance Sheet

Since December 2015, the Federal Reserve has operated a new “floor system” in which it brings about desired changes in its targeted federal funds rate by managing the interest rate it pays on bank reserves and other short‐term liabilities. The design of this new system reflects the tendency of Fed officials to view monetary policy as affecting the economy through Keynesian” interest rate channels. From this Keynesian perspective, policy actions that change the size of the balance sheet are seen as tools for influencing credit market conditions that operate in addition to and independently of the Fed's monetary policy stance. The alternative monetarist framework proposed by the author views monetary policy and its effects as operating through the interaction between money supply and demand. Use of this framework makes clear that, even under a floor system, monetary policy actions designed to affect the aggregate price level and the rate of inflation must be accompanied sooner or later by traditional open market operations that have implications for the size and composition of the Fed's balance sheet. Use of the monetarist framework also underscores the likelihood that the Fed, by paying interest on reserves, has unknowingly contributed to the restrictiveness of its own monetary policies since the financial crisis, a period during which inflation has run consistently below target. More generally, the monetarist framework downplays the importance of the zero lower interest rate bound and suggests that monetary policy could be conducted more effectively by adopting and adhering to a consistent, rule‐like manner during good times and bad.     

Good global citizen? ASEAN’s image building in the United Nations

ABSTRACT

Based on role theory, the article examines the images that ASEAN member governments project of their organization. It rests on a discourse analysis of 198 speeches in the United Nations General Assembly between 1998 and 2017. Findings suggest that ASEAN does not figure as a top priority for delegates and that an overarching ASEAN role conception is missing. However, their addresses reveal parameters on which a collective role conception can be built. Individual ASEAN countries undertake great efforts to project themselves as ‘good global citizens,’ a role conception that could also be applied to ASEAN.     

Entrepreneurship and knowledge spillovers from the public sector

A compelling body of research has found that investments in knowledge from other firms and universities spill over to enhance the performance of entrepreneurial firms. This literature has shown that firm performance is positively related to investments in new knowledge by other firms and research universities. This paper addresses a gap in the literature by positing that public sector knowledge is also conducive to enhancing performance by knowledge intensive entrepreneurial (KIE) firms. Our findings suggest that the public sector provides a fertile source of knowledge for enhancing KIE firm performance.

     

Forecast-error-based estimation of forecast uncertainty when the horizon is increased

Past forecast errors are employed frequently in the estimation of the unconditional forecast uncertainty, and several institutions have increased their forecast horizons in recent times. This work addresses the question of how forecast-error-based estimation can be performed if there are very few errors available for the new forecast horizons. It extends the results of Knüppel (2014) in order to relax the condition on the data structure that is required for the SUR estimator to be independent of unknown quantities. It turns out that the SUR estimator of the forecast uncertainty, which estimates the forecast uncertainty for all horizons jointly, tends to deliver large efficiency gains relative to the OLS estimator (i.e., the sample mean of the squared forecast errors for each individual horizon) in the case of increased forecast horizons. The SUR estimator is applied to the forecast errors of the Bank of England, the US Survey of Professional Forecasters, and the FOMC.     

Effects of scale economies and production seasonality on optimal hub locations: the case of regional fresh produce aggregation

Interest in supporting local and regional food systems is rising and food hubs have attracted considerable attention among Federal, State, and local policymakers. This study explores the problem of endogenous hub location in fresh produce value chains in the Northeastern United States. To overcome limitations in the literature, we incorporate the effects of economies of scale and production seasonality into our models. Three experimental models are designed to examine the effects of alternatively applying yearly, quarterly, and monthly data on model solutions. We explicitly assess how interactions of scale economies and seasonality influence the structure and spatial attributes of an optimal regional produce aggregation hub system. The three models generate marketed different solutions and in many respects they lead to different conclusions about developing local/regional supply chains. The monthly model allows for production seasonality and actual hub operation cycle frequency and thus leads to more efficient hub solution with rich policy implications.     

Dilip M. Nachane: Critique of the new consensus macroeconomics and implications for India

Journal of Quantitative Economics -