Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions.
This book is about doing microeconometrics, defined by Cameron and Trivedi as "e;the analysis of individual-level data on the economic behavior of individuals or firms using regression methods applied to cross-section and panel data"e; with R.
The concept of equilibrium plays a central role in various applied sciences, such as physics (especially, mechanics), economics, engineering, transportation, sociology, chemistry, biology and other fields.
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector.
Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting.
Over the last 30 years the practice and use of game theory has changed dramatically, yet textbooks continue to present game theory with algebraic formalism and toy models.
This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata.
This textbook provides the foundation for a course that takes PhD students in empirical accounting research from the very basics of statistics, data analysis, and causal inference up to the point at which they conduct their own research.
Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using R-a practical, hands-on guide for turning data into trading decisions.
Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using R-a practical, hands-on guide for turning data into trading decisions.
This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition.
This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition.
