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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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Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the...
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this question from a point of view not covered in existing works on time-series econometrics and forecasting. Clements … perspective, surveys offer insight into how economic agents form their expectations. Michael Clements is Professor of Econometrics … Econometrics and Palgrave Advanced Texts in Econometrics, and has published extensively on time series econometrics, modelling and …
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) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and … spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected … book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in …
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