I develop a reform evaluation method for evaluating labor supply in nonlinear budget sets which is both structural and quasi-experimental. The model only requires preferences to be convex on the budget frontier and results in a simple three-dimensional labor supply function. The estimation exploits only the between-individual variation provided by tax reforms. I apply the method to evaluate ear...

We describe a finite difference version of the eth formalism, which allows use of spherical coordinates in 3-dimensional systems with global second order accuracy. We briefly present the application of the formalism to the evolution of linear scalar waves and to the calculation of the curvature scalar of a curved geometry on a topologically spherical manifold.

As biomechanists, improving technique with an aim of injury prevention is an essential application of biomechanics in recreational runners. A mixed sample of elite and recreational runners, belonging to either sex, could give useful movement patterns of movement. In order to obtain any useful pattern of movement we would like to know if we should use an elite or a recreational sample as a refer...

We construct geometric shrinkage priors for Kählerian signal filters. Based on the characteristics of Kähler manifold, an algorithm for finding the superharmonic priors is introduced. The algorithm is efficient and robust to obtain the Komaki priors. Several ansätze for the priors are also suggested. In particular, the ansätze related to Kähler potential are geometrically intrinsic priors to th...

This paper presents an empirical analysis of the Russian market of mergers and acquisitions (the largest market for corporate control in Central and Eastern Europe) in 2003–2012 in terms of the total volume and value of the merger and acquisition deals of the holding companies. This analysis allowed for the conclusion that, to assess and forecast the integration activity of holding companies, t...

Keywords: Demand forecasting Genetic algorithm–simulated annealing (GA–SA) Support vector regression (SVR) Autoregressive integrated moving average (ARIMA) General regression neural networks (GRNN) Third generation (3G) mobile phone a b s t r a c t Taiwan is one of the countries with higher mobile phone penetration rate in the world, along with the increasing maturity of 3G relevant products, t...

Improving forecasting especially time series forecasting accuracy is an important yet often difficult task facing forecasters. Fuzzy autoregressive integrated moving average (FARIMA) models are the fuzzy improved version of the autoregressive integrated moving average (ARIMA) models, proposed in order to overcome limitations of the traditional ARIMA models; especially data limitation, and yield...

This paper proposes the combined forecasting model which study on the classic swine fever (CSF) morbidity, using the forecasting results of ARIMA and GM (1, 1) model as the inputs of the majorizing BP neural network. Analyzing the monthly data from 2000 to 2009 and the accuracy of the forecasting results is 97.379%, more accurate and more steady than traditional methods. This research provides ...