Textual Approximation Methods for Time Series Classification: TAX and l-TAX

Textual Approximation Methods for Time Series Classification: TAX and l-TAX

A lot of work has been conducted on time series classification and similarity search over the past decades. However, the classification of a time series with high accuracy is still insufficient in applications such as ubiquitous or sensor systems. In this paper, a novel textual approximation of a time series, called TAX, is proposed to achieve high accuracy time series classification. l-TAX, an...

Time Series Modelling of Daily Tax Revenues

We provide a detailed discussion of the time series modelling of daily tax revenues. The main feature of daily tax revenue series is the pattern within calendar months. Standard seasonal time series techniques cannot be used since the number of banking days per calendar month varies and because there are two levels of seasonality: between months and within months. We start the analysis with a p...

value added tax and tax evasion

The phenomenon of tax evasion has been always one of the most major issues among economists due to it's devastating effects on the economy and the process of economic development. Many scholars have always sought to provide solutions to reduce and limit tax evasion. The introduction of the VAT system can be seen as a milestone in the area of economic transparency and tax evasion, which refers t...

Marginal Tax Rates and Income: New Time Series Evidence∗

This paper estimates the dynamic effects of marginal tax rate changes on income reported on tax returns in the United States over the 1950-2010 period. After isolating exogenous variation in average marginal tax rates in structural vector autoregressions using a narrative identification approach, I find large positive effects in the top 1% of the income distribution. In contrast to earlier find...

June 1989 TAX POLICY . Tax - Credit and Subtraction Methods of Calculating a Value - Added Tax