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Many empirical researchers yearn for an econometricmodel that better explains their data. Yet these researchersrarely pursue this objective for fear of thestatistical complexities involved in specifying thatmodel. This book is intended to alleviate those anxietiesby providing a practical...
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Dieses Buch bietet eine Einführung in das Datenanalysepaket Stata und ist zugleich das einzige Buch über Stata, das auch Anfängern eine ausreichende Erklärung statistischer Verfahren liefert. „Datenanalyse mit Stata' ist kein Befehls-Handbuch sondern erläutert alle Schritte einer...
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This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications,...
Persistent link: https://www.econbiz.de/10012117966
This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata. Dubbed "financial microeconometrics" by the author, this concept unites both methodological and applied approaches. The book examines how...
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econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners …Chapter 1: The Cobb-Douglas production function for an exponential model -- Chapter 2: Threshold Unit Root Tests with … Exchange Data with Asymmetric Copula Functions -- Chapter 5: The Joint Tests of the Parity Conditions: Evidence from a Small …
Persistent link: https://www.econbiz.de/10012656457
Following theseminal Palgrave Handbook of Econometrics: Volume I , this second volume brings together the … finestacademicsworking in econometrics today andexploresapplied econometrics, containing contributions onsubjects includinggrowth …/development econometrics and applied econometrics and computing …
Persistent link: https://www.econbiz.de/10012053828
This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes
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