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Often applied econometricians are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes econometric results are very fragile to the inclusion or omission of just a...
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management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics …
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the fields of spatial econometrics, panel time-series analysis and structural simultaneous equation modelling to analyse …
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Response Models for Marketing Management -- Markets, Data, and Sales Drivers -- Market Response in Stationary Markets -- Design of Static Response Models -- Design of Dynamic Response Models -- Parameter Estimation and Model Testing -- Market Response in Evolving Markets -- Single Marketing Time...
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Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods … complexity of financial products. This has fueled the demand for people with advanced econometrics skills. For professionals and …
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The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information...
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This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time …
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