This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
This book explores statistical models in regional specialization, presenting a brand new measure. It begins by reviewing existing indicators and models of regional specialization before outlining a newly created, spatially embedded model of specialization based on the spatial distribution of firms. It addresses the various applications of the model, and how the model can be used in regional policy.
Research Paper (postgraduate) from the year 2003 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: advanced, Warsaw University (Faculty of Economic Sciences), language: English, abstract: European integration will have a real influence on the shape of the financial market in Poland and in other former socialistic countries which undergone the transformation. To stop the tendency of weakening of Polish stock exchange it is important to recognize mechanisms influencing the decisions of companies about the public sale of shares. Decision of companies about the entry on the stock exchange is driven with the expectation that it will help them in the realization of the particular goals. There are many primary reasons for issuing shares, among other to gain the capital on investments, to acquire prestige, to increase sale etc. In Poland till now the entry on the stock exchange of some companies was a method of the privatization, however this process extinguishes. Going public companies will be owned by private businessmen. Hence, very important is to recognize the original mechanisms of initial public offering (IPO). The analysis of IPO effects, enforced with the use of panel models points, that thanks to funds from going public the company realize investment projects and use resources in compliance with declared destination, i.e. on investments, and not on the debts repayment. Public companies do not change their previous capital structure, the debts after the entry on the stock exchange grow to the level from before IPO. Listing on the stock exchange raises the size of the company, but lowers the rate of its growth and decreases the profitability. Findings from research confirm hypotheses that companies go public from the opportunistic motives and then by the way they realize investment programmes.
Research Paper (postgraduate) from the year 2005 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: advanced, Warsaw University (Faculty of Economic Sciences), language: English, abstract: The purpose shares split is to divide nominal value in given proportion eg. 2:1, 5:4 etc, what hat involves the proportional reduction of the price Splits are conducted on shares, both traded public and in private turnover. From the rational point of view split should have no other consequences for investors and for share price and should be treated as a cosmetic correction. For shareholders, split changes a nominal amount of shares, but it does not change the value of portfolio. Shareholders rights, Cash Flow and equity of company stay unchanged. In the history of the world stock exchanges the first shares splits took place in 1927. The earliest research is dated 1933 (Doodley 1933), but the top of popularity splits reached recently, since the ’90. Easley, O”Hara, Saar (2001) report that the most of splits took place in 1997 on NYSE, when about 235 companies made a split. On average about 10% of firms decide each year to lower the share price. Some of companies made a split for many times as e.g. Johnson & Johnson (6 splits since 1970), Bouygues (12 splits since 1979) etc. The main question of researchers, investors and companies is ” why to make a split?”. Still the explicit motive of split is unknown. There are many hypothesis and case studies in the literature. All appearing hypothesis are clustered around some periods of time. In history of splits there are three main groups to be distinguished: •Since ’30 up to ’70 - from splits appearance to the market transformation during fuel crisis •Since ‘70 up to 1998 - form the development of modern financial instruments to the crisis of new technology companies •Since 1998 up to now and more Given above classification concerns mainly U.S. market, the most developed one in the world. But one should remember, that this market serves as a indicator of investments mood. It gives a direction of development and influences trends all over the world. So, everything what happens on the U.S. market is also about the rest of the world, but with some time lag.
This book explores statistical models in regional specialization, presenting a brand new measure. It begins by reviewing existing indicators and models of regional specialization before outlining a newly created, spatially embedded model of specialization based on the spatial distribution of firms. It addresses the various applications of the model, and how the model can be used in regional policy.
This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
Research Paper (postgraduate) from the year 2005 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: advanced, Warsaw University (Faculty of Economic Sciences), language: English, abstract: The purpose shares split is to divide nominal value in given proportion eg. 2:1, 5:4 etc, what hat involves the proportional reduction of the price Splits are conducted on shares, both traded public and in private turnover. From the rational point of view split should have no other consequences for investors and for share price and should be treated as a cosmetic correction. For shareholders, split changes a nominal amount of shares, but it does not change the value of portfolio. Shareholders rights, Cash Flow and equity of company stay unchanged. In the history of the world stock exchanges the first shares splits took place in 1927. The earliest research is dated 1933 (Doodley 1933), but the top of popularity splits reached recently, since the ’90. Easley, O”Hara, Saar (2001) report that the most of splits took place in 1997 on NYSE, when about 235 companies made a split. On average about 10% of firms decide each year to lower the share price. Some of companies made a split for many times as e.g. Johnson & Johnson (6 splits since 1970), Bouygues (12 splits since 1979) etc. The main question of researchers, investors and companies is ” why to make a split?”. Still the explicit motive of split is unknown. There are many hypothesis and case studies in the literature. All appearing hypothesis are clustered around some periods of time. In history of splits there are three main groups to be distinguished: •Since ’30 up to ’70 - from splits appearance to the market transformation during fuel crisis •Since ‘70 up to 1998 - form the development of modern financial instruments to the crisis of new technology companies •Since 1998 up to now and more Given above classification concerns mainly U.S. market, the most developed one in the world. But one should remember, that this market serves as a indicator of investments mood. It gives a direction of development and influences trends all over the world. So, everything what happens on the U.S. market is also about the rest of the world, but with some time lag.
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