Econometrics and economic statistics

Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience.

Using unique and cutting-edge research, Schofield a prominent author in the US for a number of years, explores the growth area of positive political economy within economics and politics.

Panel Data Econometrics: Empirical Applications introduces econometric modelling.

With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA).

In order to make informed decisions, there are three important elements: intuition, trust, and analytics.

Guesstimation is a book that unlocks the power of approximation--it's popular mathematics rounded to the nearest power of ten!

Financial Analytics with R sharpens readers'' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.

How has the Chinese economy managed to grow at such a remarkable rate - no less than ten per cent per annum - for over three decades?

This book provides the first comprehensive overview of the granularity theory and its usefulness for risk analysis, statistical estimation, and derivative pricing.

Providing an evaluation of procedures for quantifying the effects of non-tariff barriers, this book examines the theoretical bases for alternative procedures for measuring NTBs effects, and also presents a critical survey of previous studies that utilized these empirical studies.

Social and Economic Networks in Cooperative Game Theory presents a coherent overview of theoretical literature that studies the influence and formation of networks in social and economic situations in which the relations between participants who are not included in a particular participant's network are not of consequence to this participant.

Quantitative portfolio management has become a highly specialized discipline.

Space is a crucial variable in any economic activity.

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions.

This book provides a conceptual introduction to regression analysis and machine learning and their applications in education research.

This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students.

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions.

Get up to speed on the application of machine learning approaches in macroeconomic research.

Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics.

This book collects the revised and edited proceedings of the conference held in honour of the 50th anniversary of Professor Tinbergen's first macroeconomic policy model.

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world.

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures.

This title, first published in 1984, is a contribution to applied international trade theory.

Game Theory: Stochastics, Information, Strategies and Cooperation provides a discussion of some relevant topics in game theory.

This title, first published in 1984, considers a temporary monetary equilibrium theory under certainty in a differentiable framework.

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.

Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets.

A comprehensive introduction of fundamental panel data methodologies.

Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation.

Robust and reliable measures of consumer expenditures are essential for analyzing aggregate economic activity and for measuring differences in household circumstances.

Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data.

This book undertakes a theoretical and econometric analysis of intense economic growth in selected European countries during the end of the twentieth century and the beginning of the twenty first.

Air Transportation Industry considers the influence of political, legal, economic, social, and technological factors on the developments in the industry.

Brings together current theoretical insights and new empirical results to examine expert adjustment of model forecasts from an econometric perspective.

Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field.

This edition contains a large number of additions and corrections scattered throughout the text, including the incorporation of a new chapter on state-space models.

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "e;how would you model uncertainty?

The composition of portfolios is one of the most fundamental and important methods in financial engineering, used to control the risk of investments.

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data.

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics.

Proportional hazards models and their extensions (models with ti- dependent covariates, models with time dependent regression co- cients, models with random coe?

Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world.

This collection, written by highly-placed practitioners and academic economists, provides a picture of how economic modellers and policy makers interact.

The Encyclopedia of Finance, Second Edition, comprised of over 1000 individual definitions and chapters, is the most comprehensive and up-to-date resource in the field, integrating the most current terminology, research, theory, and practical applications.

Using an accessible, nontechnical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression.

This book bridges behavioral economics and the classical models in finance to show that there is no contradiction between them.

Today econometrics has been widely applied in the empirical study of economics.