Regression In Space And Time A Statistical Essay

American Journal of Political Science

Description:

The American Journal of Political Science (AJPS), published four times each year, is one of the most widely-read political science journals in the United States. AJPS is a general journal of political science open to all members of the profession and to all areas of the discipline of political science.
JSTOR provides a digital archive of the print version of American Journal of Political Science. The electronic version of American Journal of Political Science is available at http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=ajps. Authorized users may be able to access the full text articles at this site.

Coverage: 1973-2016 (Vol. 17, No. 1 - Vol. 60, No. 4)

Moving Wall: 1 year (What is the moving wall?)

The "moving wall" represents the time period between the last issue available in JSTOR and the most recently published issue of a journal. Moving walls are generally represented in years. In rare instances, a publisher has elected to have a "zero" moving wall, so their current issues are available in JSTOR shortly after publication.
Note: In calculating the moving wall, the current year is not counted.
For example, if the current year is 2008 and a journal has a 5 year moving wall, articles from the year 2002 are available.

Terms Related to the Moving Wall
Fixed walls: Journals with no new volumes being added to the archive.
Absorbed: Journals that are combined with another title.
Complete: Journals that are no longer published or that have been combined with another title.

ISSN: 00925853

EISSN: 15405907

Subjects: Political Science, American Studies, Social Sciences, Area Studies

Collections: Arts & Sciences I Collection, JSTOR Essential Collection

Political Science 207

Winter Quarter 2014

Final Exam

Homeworks

Data and R Code

Readings

  • Week 9: Difference-in-Difference, Matching, and Regression Discontinuity

    • Card, David, and Krueger, Alan B. 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania". American Economic Review 84: 772–793.
    • Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth A. Stuart. 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference." Political Analysis 15:199-236.
    • Gerber, Elisabeth R., and Daniel J. Hopkins. 2011. "When Mayors Matter: Estimating the Impact of Mayoral Partisanship on City Policy." American Journal of Political Science 55:326-339.
  • Week 8: Multilevel Models

  • Week 7: Multiple Imputation for Missing Data

    • King, Gary, James Honaker, Anne Joseph, and Kenneth Scheve, 2001. "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation." American Political Science Review 95:49-70
    • Honaker, James, and Gary King. 2010. "What to do About Missing Values in Time Series Cross-Section Data." American Journal of Political Science 54:561-581.
  • Week 6: Selection Models

    • Berinksy, Adam. 1999. "The Two Faces of Public Opinion." American Journal of Political Science 43:1209-1230.
    • Bushway, Shaun, Brian D. Johnson, and Lee Ann Slocum. 2007. "Is the Magic Still There? The Use of the Heckman Two-Step Correction for Selection Bias in Criminology." Journal of Quantitative Criminology 23:151-178.
    • Dubin, Jeffrey A., and Douglas Rivers, 1990. "Selection Bias in Linear Regression, Logit, and Probit Models." Sociologial Methods and Research 18:360-390.
  • Week 5: Binary TSCS Models

    • Green, Donald P., Soo Yeon Kim, and David H. Yoon. 2001. "Dirty Pool" International Organization 55:441–468.
    • Beck, Nathaniel, and Jonathan N. Katz. 2001. "Throwing Out the Baby with the Bath Water: A Comment on Green, Kim, and Yoon." International Organization 55:487–495.
    • Beck, Nathaniel, Jonathan Katz, and Richard Tucker. 1998. "Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable." American Journal of Political Science 42:1260-1288.
    • Carter, David B., and Curtis S. Signorino. 2010. "Back to the Future: Modeling Time Dependence in Binary Data." Political Analysis 18:271-292.
  • Week 4: Survival Models

    • Box-Steffensmeier, Janet M. and Bradford S. Jones. 1997. "Time is of the Essence: Event History Models in Political Science." American Journal of Political Science 45:972–988.
    • Beck, Nathaniel, Jonathan Katz, and Richard Tucker. 1998. "Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable." American Journal of Political Science 42:1260-1288.
  • Week 3: Nonspherical Errors in TSCS Data

    • Beck, Nathaniel, and Jonathan N. Katz, 1995. "What to Do (and Not to Do) with Time-Series Cross-Section Data." American Political Science Review 89:634-647.
    • Beck, Nathaniel, and Jonathan N. Katz, 1996. "Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models." Political Analysis 6:1-36.
    • Alvarez, R. Michael, Geoffrey Garrett, and Peter Lange, 1991. "Government Partisanship, Labor Organization, and Macroeconomic Performance." American Political Science Review 85:539-556.
    • Beck, Nathaniel, Jonathan N. Katz, R. Michael Alvarez, Geoffrey Garrett, and Peter Lange, 1993. "Government Partisanship, Labor Organization, and Macroeconomic Performance: A Corrigendum." American Political Science Review 87:945-948.
  • Week 2: Instrumental Variables

    • Benoit, Kenneth, and Michael Marsh. 2008. "The Campaign Value of Incumbency: A New Solution to the Puzzle of Less Effective Incumbent Spending." American Journal of Political Science , 52:874-890.
    • Gerber, Alan S., and Donald P. Green. 2000. "The Effects of Canvassing, Telephone Calls, and Direct Mail on Voter Turnout: A Field Experiment." American Political Science Review 94:653-663.
    • Jacobson, Gary. 1978. "The Effects of Campaign Spending in Congressional Elections." American Political Science Review 72:469-491.
    • Alvarez, R. Michael, and Garrett Glasgow. 1999. "Two-Stage Estimation of Non-Recursive Choice Models." Political Analysis 8:147-165.
  • Week 1: Panel Data

    • Knack, Stephen, 1995. "Does 'Motor Voter' Work? Evidence from State-Level Data." Journal of Politics 57:796-811.
    • Stimson, James A., 1985. "Regression in Space and Time: A Statistical Essay." American Journal of Political Science 29:914-947.
    • Worrall, John L. 2010. "A User-friendly Introduction to Panel Data Modeling." Journal of Criminal Justice Education 21:182-196.
All course readings are available for download through the library website, either through JSTOR or our subscription to the electronic version of the journal. All campus URLs have access to these resources; if you want to download articles from home, see this.

Course Materials

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