Econometrics and economic statistics

The purpose of models is not to fit the data but to sharpen the questions.

This volume contains a selection of papers presented at the first conference of the Society for Computational Economics held at ICC Institute, Austin, Texas, May 21-24, 1995.

This book is the result of my doctoral dissertation research at the Department of Econometrics of the University of Geneva, Switzerland.

Coalition Formation and Social Choice provides a unified and comprehensive study of coalition formation and collective decision-making in committees.

This booklet was begun as an appendix to Introductory Econometrics.

This booklet was begun as an appendix to Introductory Econometrics.

Financial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance.

Takes the challenging and makes it understandable.

Takes the challenging and makes it understandable.

You don't have to be a mathematician to maximize the power of quantitative methods.

This book presents statistics and data science methods for risk analytics in quantitative finance and insurance.

'Refreshingly clear and engaging' Tim Harford'Delightful .

Exploring and understanding the analysis of economic development is essential as global economies continue to experience extreme fluctuation.

An Introductory Econometrics TextMathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics.

A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science.

A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst.

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets.

Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods.

Based on four decades of experience and research, Navigating Strategic Decisions: The Power of Sound Analysis and Forecasting explains how to improve the decision-making process in your organization through the use of better long-term forecasts and decision support.

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

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data.

Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data.

New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues.

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories.

There is no shortage of incentives to study and reduce poverty in our societies.

Developed from the author's course on Monte Carlo simulation at Brown University, this text provides a self-contained introduction to Monte Carlo methods in financial engineering.

With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.

Solve the DVA/FVA Overlap Issue and Effectively Manage Portfolio Credit RiskCounterparty Risk and Funding: A Tale of Two Puzzles explains how to study risk embedded in financial transactions between the bank and its counterparty.

Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes, Statistical Methods with Applications to Demography and Life Insurance presents contemporary statistical techniques for analyzing life distributions and life insurance problems.

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

Economic evaluation has become an essential component of clinical trial design to show that new treatments and technologies offer value to payers in various healthcare systems.

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems.

This text emphasizes nonlinear models for a course in time series analysis.

The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition.

The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective.

A friendly, straightforward guide that does not assume knowledge of programming, this book helps new R users hit the ground running.

Noted for addressing both the hows and whys of item response theory (IRT), this text has been revised and updated with the latest techniques (multilevel models, mixed models, and more) and software packages.

This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM).

Acclaimed for helping novice behavioral scientists hit the ground running as producers of meaningful research, this text now has been extensively revised with more than 50% new material, including current guidance on open science; transparency; replication; and quantitative, qualitative, and mixed methods reporting standards.

Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples.

Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results.

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).

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling.

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups.

Control theory methods in economics have historically developed over three phases.

Mathematical economics uses mathematical tools and reasoning to describe and explain economic reality.

Studies in Consumer Demand - Econometric Methods Applied to Market Data contains eight previously unpublished studies of consumer demand.

This volume contains selected papers that were presented at the International Conference COMPUTATIONAL FINANCE 1997 held at London Business School on December 15-17 1997.