TFP change,output gap and inflation in the Russian Federation (1994–2006)

The present paper estimates Total Factor Productivity (TFP) change for the Russian economy in the time period 1994–2006. It also calculates potential output and output gap using a Cobb-Douglas (CD) production function and a Hodrick–Prescott filter, as well as the Non-Accelerating Wage Rate of Unemployment (NAWRU), and the Non-Accelerating Inflation Rate of Capacity Utilization (NAICU) concepts. The results show that despite the severe economic crisis TFP has contributed to strong economic growth in the country after 1998, while the output gap, although negative between 1999 and 2003, has recently become positive. The relationship between output gap and inflation is examined and the results suggest that there is a strong (causal) relationship between output gap and inflation in the Russian economy.     

Rare events and annuity market participation

We investigate whether a rare event (like the default of the annuity provider) can explain the annuity market participation puzzle. High risk aversion is needed to change behavior in the presence of such a disastrous shock but higher risk aversion also makes annuities more valuable. Therefore, these rare events are unlikely candidates to explain the low take-up of voluntary annuities: the conclusion is robust to disentangling risk aversion from intertemporal substitution and to allowing portfolio investment in a stock market index.     

Private information in currency markets

Using daily abnormal currency returns for the universe of countries with flexible exchange rates, we show local currency depreciations ahead of unscheduled, public sovereign debt downgrade announcements. Consistent with the private information hypothesis, the effect is stronger in lower institutional quality countries and holds after we control for concurrent public information and for publicly available rumors about the forthcoming downgrades. Our results persist when abnormal currency returns are adjusted for global carry and dollar risk factors, world equity and bond returns, as well as local stock market returns. Finally, the currency depreciations are permanent, providing evidence for a link between fundamentals and currency markets.     

Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML

Efficiency analysis is an important tool for evaluating firms' performance. This paper introduces a novel approach for measuring technical efficiency (TE) in the case of technologies with multiple outputs which deals with the endogeneity of outputs issue. The proposed approach uses Artificial Neural Networks (ANNs) and the method of Limited Information Maximum Likelihood (LIML). The validity of the proposed approach is illustrated by fitting it to a large US data set for all commercial banks in the 1989–2000 time span. Meanwhile, we compare the proposed approach to the single-equation Translog output distance function and the proposed approach was found to yield very satisfactory results, while dealing with the issue of the endogeneity of outputs.     

Emil Lederer and Joseph Schumpeter on Economic Growth,Technology and Business Cycles

This paper compares Joseph Schumpeter and Emil Lederer with respect to their visions concerning the notions of economic growth, technology and business cycles. Their theoretical investigations in a number of thematic areas seem to converge to similar views. More precisely, both Schumpeter and Lederer regard the capitalist economy as a dynamic system where the introduction of innovations is its distinctive characteristic. In such a system, static analysis based on the concept of equilibrium is useful as an expository device to describe the adjustment mechanisms of the economic system. They also paid attention to the emergence of large oligopolistic firms and considered this development as being interwoven with technological progress. Both economists used similar arguments to emphasize the link between economic development and technological change. In their analyses, Schumpeter and Lederer referred to psychological factors motivating the entrepreneur, in order to explain the forces that set in motion the process of innovation and thus economic development. The concept of technological unemployment is also described in a similar manner by both of them. Regarding the issue of business cycles, Schumpeter and Lederer considered them to be a result of endogenous processes within a capitalist economy. Lederer in his late works, argued in a way analogous to Schumpeter, that economic fluctuations are caused from the disruptions created by innovations, which are introduced discontinuously into the economic system. Conclusively, Schumpeter and Lederer delivered theses which are similar in scope and conclusions probably because they were developed in the same social, political, theoretical and ideological environment and were also well acquainted with each other’s ideas.     

Optimal savings with taxable and tax-deferred accounts

We solve and estimate a life-cycle model with earnings risk and liquidity constraints in the presence of tax-deferred retirement accounts (TDAs). We explicitly consider two very different types of households (with TDAs): direct and indirect stockholders. The latter hold stocks only through TDAs and, consistent with the data, save considerably less than the former, who hold stocks both inside and outside these accounts. We find that TDAs promote higher wealth accumulation but only marginally higher net savings. Consumption increases mostly during retirement, as desired, but the effect is largest for those households with higher savings rates already.     

A Bayesian Signals Approach for the Detection of Crises

In this paper, we consider the signals approach as an early-warning-system to detect crises. Crisis detection from a signals approach involves Type I and II errors which are handled through a utility function. We provide a Bayesian model and we test the effectiveness of the signals approach in three data sets: (1) Currency and banking crises for 76 currency and 26 banking crises in 15 developing and 5 industrial countries between 1970 and 1995, (2) costly asset price booms using quarterly data ranging from 1970 to 2007, and (3) public debt crises in Europe in 11 countries in the European Monetary Union from the introduction of the Euro until November 2011. The Bayesian model relies on a vector autoregression for indicator variables, and incorporates dynamic factors, time-varying weights in the latent composite indicator and special priors to avoid the proliferation of parameters. The Bayesian vector autoregressions are extended to a semi-parametric context to capture non-linearities. Our evidence reveals that our approach is successful as an early-warning mechanism after allowing for breaks and nonlinearities and, perhaps more importantly, the composite indicator is better represented as a flexible nonlinear function of the underlying indicators.

     

Bayesian inference in threshold stochastic frontier models

In this paper, we generalize the stochastic frontier model to allow for heterogeneous technologies and inefficiencies in a structured way that allows for l     

A Spatial Stochastic Frontier Model with Spillovers: Evidence for Italian Regions

Efficiency measurement using stochastic frontier models is well established in applied econometrics. However, no published work seems to be available on efficiency analysis using spatial data dealing with possible spatial dependence between regions. This article considers a stochastic frontier model with decomposition of inefficiency into an idiosyncratic and a spatial, spillover component. Exact posterior distributions of parameters are derived, and computational schemes based on Gibbs sampling with data augmentation are proposed to conduct simulation‐based inference and efficiency measurement. The new method is illustrated using production data for Italian regions (1970–1993). Clearly, further theoretical and empirical research on the subject would be of great interest.