Application Of Econometric Methods Research Articles

ANALYSIS OF TRANSACTION TAX CONTROL BETWEEN RELATED PARTIES IN RUSSIAN FEDERATION

Nowadays the system of transaction tax control between interdependent persons in Russian Federation is close to international standards both by the process of transaction tax control between interdependent persons, by used monitoring instruments, and by the mechanism for pricing agreement conclusions.In order to analyze the tax control of transactions between interdependent persons, it is advisable to consider the process of transaction tax control between interdependent persons that has been carried out in Russian Federation since the 2000-ies.The following research methods were used in order to identify the results of transaction tax control analysis among interdependent persons: analysis and synthesis, induction and deduction, comparison methods, economic-mathematical and econometric methods.The results of transaction tax control analysis between interdependent persons show that the issues of transaction tax control between interdependent persons became more relevant every year. The authors of the article also found that the number of disputes increased by 1673%, which is undoubtedly the indicator of the large-scale growth concerning the relevance of problematic moments in the process of tax control between interdependent persons. The developed analysis and the forecast of the time series with the application of econometric methods allows to draw the conclusion that certain negative tendencies in the process of transaction tax control implementation between interdependent persons will be preserved.The tendencies that have appeared in the area of transaction tax control between interdependent persons since the 2000-ies, exist up to the present time. The forecast of the time series compiled on the basis of actual data confirms that the number of tax disputes will grow after 2013. Therefore, in order to neutralize these trends, further research is needed in terms of transaction tax control causes, problems and risks determination between interdependent persons in Russian Federation

Прогнозирование границы потерь доходности финансовых инструментов методами финансовой эконометрики

The indicators of the financial markets can’t be done by the research by the
 methods of determined mathematics. Too many random factors and unpredictable
 events influence on the indicators of the market and finally they form their values
 in future. The forecasting of indicators of the financial market is a very actual
 task not only for separately taken traders, but also for large corporations,
 companies, banks. As the experience of the last years shows, this task can and
 has to be solved also at the level of planning of financial and economic activity
 of the state in general for the purpose of providing its economic security. The
 financial indicators having the casual nature are inevitably subjected to the market
 risk. In order to operate possible losses and to define the reserves, which are
 sufficient for their insurance, the quantitative assessment of the risk is necessary.
 Now the standard measuring instrument of the risk is the indicator — “the border
 of losses” or “the cost under the risk” (Value at Risk, VaR). This work deals with
 the possibilities of the application of econometric methods of modeling and
 forecasting the border of losses of profitability of financial instruments on the
 example of the temporary ranks, constructed by stock quotations of the
 companies of the telecommunication branch. The received results have allowed
 to analyses the prospects of the market of telecommunications in Russia
 in general. All results of the research were done by means of the R-project
 software product — the modern software, which is the programming language
 and the environment for the statistical analysis and visualization of data at the
 same time.

Exports and Firm Characteristics in Germany: A Survey of Empirical Studies (1991 to 2011)

Reliable information on the characteristics of exporting and non-exporting firms is important for providing theorists and policy-makers with evidence-based guidance. This holds true especially for Germany, a leading actor on the world markets for goods and services. This paper provides a synopsis and a critical assessment of 51 empirical studies on exports and firm characteristics based on data for German firms (establishments or enterprises) that were published over the last 20 years. I argue that this literature is not suited to provide the stylized facts needed. Reasons include the widespread use of non-representative small cross-section samples, the use of data for establishments (local production units) instead of enterprise-level data, the lack of information on important firm characteristics (including physical capital intensity and information related to innovation activities), the application of econometric methods that are not appropriate to model the share of exports in total sales and the missing control for unobserved firm heterogeneity. JEL Classification: F14

Data aggregation and estimates of persistence

In recent years there has been a surge of interest in inflation dynamics, as testified by the conference on “Quantitative Evidence on Price Determination” organised by the Federal Reserve Board, the Journal of Monetary Economics issue devoted to “The econometrics of the New Keynesian price equation”, or the conferences organisedand the reports produced by the “Inflation Persistence Network” set up by the European Central Bank. The results published by this Inflation Persistence Network (see the network’s website http://www.ecb.int/home/html/researcher ipn.en.html) have recently shown a change of focus away from the backward/forward-looking nature of Phillips curves and towards the impact of aggregation on estimates of inflation persistence. One of the facts uncovered by research in this area is that the average persistence of disaggregated price series is less than the persistence of the aggregate series (especially when aggregating across countries) – see [2,16], or, outside the Inflation Persistence Network [6]. Aggregation is an intrinsic feature of macroeconomic analysis in a very general way. Macroeconomics looks into the behaviour of aggregate variables, but these are the result of the actions of a multitude of agents. Economic analysis therefore requires an understanding of: 1) how individuals behave; 2) how the behaviour of individuals translates into the behaviour of the aggregates. The assessment of the relevance of economic theories through the application of econometric methods then

Professor Tinbergen’s Method

The article written by the classic of economic science in 1939, which is published in Russian for the first time, contains a critique of the application of econometric methods in economics. The object of criticism is one of the first large-scale econometric studies - the book by J. Tinbergen on business cycles. Keynes points at the arbitrariness of many econometric judgments, at the problems of causality and forecast in econometrics. He also mentions that a lot of economic problems cannot be analyzed by means of econometric technique.

The Consistent Estimation of Income Elasticity of Environmental Amenities in Uruguay

In this paper we are concerned with the estimation of income elasticities of environmental amenities. The novelty is the application of econometric methods that take into account the problem of measurement errors when estimating these elasticities, which is common in microeconomic data and is not usually considered in the applied literature related to this issue. Our aim is to discuss whether measurement errors have significant effects on income elasticities. Data from the Expenditure Budget Survey of Uruguay (1996) are used.

Income Elasticity of Environmental Amenities

In this paper we are concerned with the estimation of income elasticities of environmental amenities. The novelty is the application of econometric methods that take into account the problem of measurement errors when estimating these elasticities, which are common in microeconomic data and are not usually considered in the applied literature related with this issue. Our aim is to dis