This article describes the data collection and use of data for the computation of rankings within RePEc (Research Papers in Economics). This encompasses the determination of impact factors for journals and working paper series, as well as the ranking of authors, institutions, and geographic...

This paper examines the impact of real exchange rate volatility on economic growth in Kenyan. The study employed the Generalized Autoregressive Condition of Heteroscedasticity (GARCH) and computation of the unconditional standard deviation of the changes to measure volatility and Generalized...

We analyze the properties of various methods for bias-correcting parameter estimates in both stationary and non-stationary vector autoregressive models. First, we show that two analytical bias formulas from the existing literature are in fact identical. Next, based on a detailed simulation...

The marketing and sales polices of Iranian crude oil have been revised and changed after the Islamic Revolution of 1979. Production policy that drastically cut back production in order to maintain oil reserves for future generations. In terms of marketing Iranian crude oil, the new revolutionary...

The devolved nature of environmental regulation provides an excellent opportunity for estimating the effects of regulation on employment, by generating rich variation in regulation across regions and over time. We exploit this variation using direct measures of regulation and plant data. We...

The optimal minimum distance (OMD) estimator for models of covariance structures is asymptotically efficient but has much worse finite-sample properties than does the equally-weighted minimum distance (EWMD) estimator. This paper shows how the bootstrap can be used to improve the finite-sample...

This paper is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov Chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the...

Most hypotheses in binary response models are composite. The null hypothesis is usually that one or more slope coefficients are zero. Typically, the sequence of alternatives of interest is one in which the slope coefficients are increasing in absolute value. In this paper, we prove that the...

This paper studies estimation of the number and location of modes of the wage distribution. The location of the modes can be used to estimate the cutpoints of the equilibrium wage distribution (Bowlus, Kiefer, and Neumann, 1995) in the presence of measurement error. These cutpoints can be used...

Most of predictive maintenance technologies are inaccessible to small scale and medium scale industries due to their demanding cost. This paper proposes a predictive maintenance policy using failure mode effect and criticality analysis (FMECA) and non-homogeneous Poisson process (NHPP) models...