Conference on Quantitative Social Science Research Using R 课件

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收藏 2009-10-25

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