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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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Probability, Statistics and Econometrics provides a concise, yet rigorous, treatment of the field that is suitable for … graduate students studying econometrics, very advanced undergraduate students, and researchers seeking to extend their … groundwork for probability and inference before proceeding to core topics in econometrics. Authored by one of the leading …
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Preface -- Introduction to probability and statistics -- Foundation of probability theory -- Random variables and … -- Introduction to sampling theory -- Convergences and limit theorems -- Parameter estimation and evaluation -- Hypothesis testing …
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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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