• Keele, Luke J., Brian Fogarty, and James A. Stimson. (2004). "The Impact of Presidential Visits in the 2002 Congressional Elections." PS: Political Science and Politics
  
  
• Keele, Luke J. (2005). "Macro Measures and Mechanics of Social Capital" Political Analysis. 13:2, 139-156.
  
  
• Keele, Luke J. (2005). "The Partisan Roots of Trust in Government" Journal of Politics. 67:3, 432-451.
  
  
• Keele, Luke J. (2005). "3-D Graphics in R." The Political Methodologist 13:2, 2-6.
  
  
• Keele, Luke J. and Jennifer Wolak (2006). "Value Conflict and Volatility in Party Identification" British Journal of Politics. 36:4, 671-690
  
  
• Keele, Luke J. and Nathan J. Kelly (2006). "Dynamic Models for Dynamic Theories: The Ins and Outs of LDVs." Political Analysis. 14:2, 186-205.
  
  
• Keele, Bafumi, Park, and Shor (2007). "A Bayesian Multilevel Modeling Approach to Time-Series Cross-Sectional Data." Political Analysis. 15:2, 165-181.
  
  
• Keele, Luke J. (2007). "Social Capital and the Dynamics of Trust in Government" AJPS 51:2, 241-254.
  
  
• Keele, Luke J. and Suzanna DeBoef. (2008). "Taking Time Seriously: Dynamic Regression." AJPS 52:1, 184-200.
  
  Replication Materials for ECMs
  
  
• Keele, Luke J. and Jennifer Wolak. (2008). "Contextual Sources of Ambivalence" Political Psychology 29:5, 653-674.
  
  
  
  
  
  Replication materials available for all articles on request.
  
  
  
  

  Semiparametric Regression for the Social Sciences Amazon Examples From the Book Exercise Datasets Table of Contents Errata

  
  
  Nonparametric smoothing techniques allow analysts to estimate nonlinear relationships between continuous variables. In conjunction with standard statistical models, such smoothing techniques provide analysts with the means to test for and estimate nonlinear relationships in a wide variety of analyses. These methods, however, see little use in the social sciences. The book first introduces readers to the principles of nonparametric smoothing and to a wide variety of smoothing methods. Next, I demonstrate how such smoothing methods can be incorporated into linear and generalized linear models. The book provides numerous examples using analyses of data from Congressional elections, the Supreme Court, racial rioting, militarized conflict, feminist attitudes, and the sociology of the family.