Econometrics and economic statistics

Crunch Big Data to optimize marketing and more!

The first collection of cases on "e;big data"e; analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker.

Excel predictive analytics for serious data crunchers!

This proceedings volume presents new methods and applications in applied economic research with an emphasis on advances in panel data analysis.

A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent to the energy-growth nexus.

The volume highlights the state-of-the-art knowledge (including data analysis) of productivity, inequality and efficiency analysis.

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn.

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software.

The Handbook of Historical Economics guides students and researchers through a quantitative economic history that uses fully up-to-date econometric methods.

Panel Data Econometrics: Empirical Applications introduces econometric modelling.

This book presents essential tools for modelling non-linear time series.

This monograph addresses the methodological and empirical issues relevant for the development of sustainable agriculture, with a particular focus on Eastern Europe.

This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.

Computationally-intensive tools play an increasingly important role in financial decisions.

Panel Data Econometrics: Theory introduces econometric modelling.

Belief and Rule Compliance: An Experimental Comparison of Muslim and Non-Muslim Economic Behavior uses modern behavioral science and game theory to examine the behavior and compliance of Muslim populations to Islamic Finance laws and norms.

Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroeconomics.

Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management).

Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline.

Medicine Price Surveys, Analyses and Comparisons establishes guidelines for the study and implementation of pharmaceutical price surveys, analyses, and comparisons.

Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis technique across disciplines.

Biophysical Measurement in Experimental Social Science Research is an ideal primer for the experimental social scientist wishing to update their knowledge and skillset in the area of laboratory-based biophysical measurement.

How to Write about Economics and Public Policy is designed to guide graduate students through conducting, and writing about, research on a wide range of topics in public policy and economics.

The Economics and Econometrics of the Energy-Growth Nexus recognizes that research in the energy-growth nexus field is heterogeneous and controversial.

Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics is a book about the future of risk and the future of value.

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems.

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 knowledge of the trinity of fields that use quantitative data in economic decision-making.

Introduction to Agent-Based Economics describes the principal elements of agent-based computational economics (ACE).

The remarkable evolution of econophysics research has brought the deep synthesis of ideas derived from economics and physics to subjects as diverse as education, banking, finance, and the administration of large institutions.

A collection of twenty-three studies that explore the latest developments in the analysis of income and wealth distribution and mobility.

Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic optimization theory and the enlargement filtration theory.

This collection of original articles-8 years in the making-shines a bright light on recent advances in financial econometrics.

Experimental methods in economics respond to circumstances that are not completely dictated by accepted theory or outstanding problems.

This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering of the math they may have forgotten (or learned imperfectly) which is needed to succeed in science courses.

The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results.

The Handbooks in Finance are intended to be a definitive source for comprehensive and accessible information in the field of finance.

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics.

Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance.

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics.

This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.

All manner of models are used to describe, simulate, extrapolate, and ultimately understand the function of dynamic systems.

This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts.

This full-color book provides a compendium of stimulating facts about the states, presented graphically, and covering a wide array of topics including demographic, economic, environmental, health, and crime variables.

This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students.

The Handbook is a definitive reference source and teaching aid for econometricians.

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics.

The need to understand how to design and set up an investigative experiment is nearly universal to all students in engineering, applied technology and science, as well as many of the social sciences.

In seinem Werk 'Zur Psychologie des Geldes, Zur Psychologie der Frauen & Philosophie der Mode' erforscht Georg Simmel die tiefgreifenden psychologischen Aspekte von Geld, Frauen und Mode.

Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions.

Central banks and other policymaking institutions use causal hypotheses to justify macroeconomic policy decisions to the public and public institutions.