Fordham University The Jesuit University of New York

 

 

Conference on Quantitative

Social Science Research Using R


Presentation slides (as of July 7)

Overview slides


Keynote talk

Author

Affiliation

Title

Roger Koenker

University of Illinois,
Deptartment of Economics

Quantile Regression: A Gentle Introduction for R-ophiles

Invited talks

Order: alphabetical (first author)

Kosuke Imai

Princeton University,
Department of Politics

Causal Mediation Analysis in R

Keith A. Markus and Wen Gu

John Jay College
Department of Psychology

Bubble Plots as a Model-Free Graphical Tool for Three Continuous Variables and a Flexible R Function to Plot Them

Bruce D. McCullough

Drexel University,
Department of Decision Sciences
Department of Economics

Econometric Computing with R

Hrishikesh (Rick) D. Vinod

Fordham University
Department of Economics

Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R-example of Inflation Unemployment Tradeoff

Achim Zeileis

Wirtschaftsuniversität Wien
Department of Statistics and Mathematics

Statistical Computing in R: Strategies for Turning Ideas into Software


Regular Presentations

Order: alphabetical (first author)

Peter Foster and Tatjana Kecojević

School of Mathematics, University of Manchester,
Manchester, UK
Lancashire Business School,
University of Central Lancashire,
Preston, UK

Reference growth charts for Saudi Arabian children and adolescents

David Rindskopf

City University of New York,
Graduate Center

mqual: A program for Bock's Multinomial Response Model

Harry Haupt,
Joachim Schnurbus and Rolf Tschernig

Bielefeld University
and University of Regensburg, Germany

Validation of functional form in multiple regression using R

Ronald Neath

Department of Statistics and Computer Information Systems
Baruch College, City University of New York

A Bayesian Statistical Analysis of Leukemia Incidence Surrounding an Inactive Hazardous Waste Site

Adjoa Numatsi and Erick Rengifo

Economics Department, Fordham University, New York

GARCH Models versus Stochastic Volatility Models with Jumps in Returns and Volatilityin different market situations

Roberto Patuelli

Institute for Economic Research (IRE)
University of Lugano, Switzerland
The Rimini Centre for Economic Analysis, Italy

Estimating a Spatial Filtering Gravity Model for Bilateral Trade: Functional Specifications and Estimation Challenges

Jeff Simono and Rebecca Sela

Stern School of Business,
New York University

RE-EM Trees: A New Data Mining Approach to Longitudinal Data

Tutorial Slides

Rossen Trendafilov and Brandon Vick

Fordham University
Department of Economics

A Short Introduction to R

 
 
top | Fordham | contact webmaster