Case selection in public management research: Problems and solutions

Journal of Public Administration Research and Theory

Volumn 23, Issue 2, 2013, Pages 361-393

  Konisky, David M ^a   Reenock, Christopher ^b  

^a GEORGETOWN UNIVERSITY   (United States)

^b FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84875735083     PISSN: 10531858     EISSN: 14779803     Source Type: Journal    
DOI: 10.1093/jopart/mus051     Document Type: Article

References (69)

1. Abowd, John M., and Henry S. Farber. 1982. Job queues and the union status of workers. Industrial and Labor Relations Review 35:354-67.
2. Achen, Christopher. 1986. The statistical analysis of quasi-experiments. Berkeley, CA: University of California Press.
3. Angrist, Joshua D., and Jörn-Steffen Pischke. 2009. Mostly harmless econometrics: An empiricist's companion. Princeton, NJ: Princeton University Press.
4. Berry, William D., Evan J. Ringquist, Richard C. Fording, and Russell L. Hanson. 1998. Measuring citizen and government ideology in the American states, 1960-93. American Journal of Political Science 42:327-48.
5. Boyne, George A., and Alex A. Chen. 2007. Performance targets and public service improvements. Journal of Public Administration Research and Theory 17:455-77.
6. Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2010. Does public service performance affect top management turnover. Journal of Public Administration Research and Theory 20:i261-79.
7. Braumoeller, Bear F., and Gary Goertz. 2000. The methodology of necessary conditions. American Journal of Political Science 44:844-58.
8. Breen, Richard. 1996. Regression models: Censored, sample-selected, or truncated data. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-111. Thousand Oaks, CA: Sage.
9. Brehm, John, and James T. Hamilton. 1996. Noncompliance in environmental reporting: Are violators ignorant, or evasive, of the law? American Journal of Political Science 40:444-77.
10. Brooks, Arthur C. 2003. Public goods and posterity: An empirical test of intergenerational altruism. Journal of Public Administration Research and Theory 13:165-75.
11. Cochran, W., and Donald B. Rubin. 1973. Controlling bias in observational studies: a review. Sankhya, Ser.A 35:417-46.
12. Collier, David, and James Mahoney. 1996. Insights and pitfalls: Selection bias in qualitative research. World Politics 49:56-91.
13. Daley, Dorothy M. 2009. Interdisciplinary problems and agency boundaries: Exploring effective cross-agency collaboration. Journal of Public Administration Research and Theory 19:477-93.
14. Dehejia, Rajeev H., and Sadek Wahba. 2002. Propensity score-matching methods for nonexperimental casual studies. Review of Economics and Statistics 84:151-61.
15. Diamond, Alexis, and Jasjeet S. Sekhon. Forthcoming. Genetic matching for estimating causal effects: A general multivariate matching method for achieving balance in observational studies. Review of Economics and Statistics.
16. Dion, Douglas. 1998. Evidence and inference in the comparative case study. Comparative Politics 30:127-46.
17. Dull, Matthew. 2009. Results-model reform leadership: Questions of credible commitment. Journal of Public Administration Research and Theory 19:255-84.
18. Eckstein, H. 1975. Case studies and theory in political science. In Handbook of political science. Political Science: Scope and Theory, vol. 7, eds. F. I. Greenstein and N. W. Polsby, 94-137. Reading, MA: Addison-Wesley.
19. Feinstein, Jonathan S. 1990. Detection controlled estimation. Journal of Law and Economics 33:233-76.
20. 1999. Approaches to estimating noncompliance: Examples from federal taxation in the United States. Economic Journal 109:360-9.
21. Gallo, Nick, and David E. Lewis. 2012. The consequences of presidential patronage for federal agency performance. Journal of Public Administration Research and Theory 22:219-43.
22. Gawande, Kishore, and Hui Li. 2009. Dealing with weak instruments: An application to the protection for sale model. Political Analysis 17:236-60.
23. Geddes, Barbara. 2003. Paradigms and sand castles: Theory building and research design in comparative politics. Ann Arbor: University of Michigan Press.
24. Georgellis, Yannis, Elisabetta Iossa, and Vurain Tabvuma. 2011. Crowding out intrinsic motivation in public sector. Journal of Public Administration Research and Theory 21:473-93.
25. Gordon, Sanford C. 2009. Assessing partisan bias in federal public corruption prosecutions. American Political Science Review 103:534-54.
26. Greene, William H. 2002. Econometric analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall.
27. Grissom, Jason A., and Lael R. Keiser. 2011. A supervisor like me: Race, representation, and the satisfaction and turnover decisions of public sector employees. Journal of Policy Analysis and Management 30:557-80.
28. Groves, Robert M., Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangeau. 2004. Survey methodology. Hoboken, NJ: John Wiley and Sons.
29. Hanushek, Eric A. and Ludger W ößmann. 2006. Does educational tracking affect performance and inequality? Differences-in-differences evidence across countries. Economic Journal 116:C63-76.
30. Heckman, James. 1979. Sample selection bias as a specification error. Econometrica 47:153-61.
31. Heckman, James, and Petra Todd. 2009. A note on adapting propensity score matching and selection models to choice based samples. Econometric Journal 12:230-4.
32. Heckman, James J., and Salvador Navarro-Lozano. 2004. Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models. Review of Economics and Statistics 86:30-57.
33. Heinrich, Carolyn J., Robert H. Meyer, and Greg Whitten. 2010. Supplemental Education Services Under No Child Left Behind: Who Signs Up, and What Do They Gain? Educational Evaluation and Policy Analysis 32:273-98
34. Heinrich, Carolyn J. 2010. Third-party governance under no child left behind: Accountability and performance management challenges. Journal of Public Administration Research and Theory 20:i59-80.
35. Helland, Eric. 1998a. Environmental protection in the federalist system: The political economy of NPDES inspections. Economic Inquiry 36:305-19.
36. 1998b. The enforcement of pollution control laws: Inspections, violation, and self-reporting. Review of Economics and Statistics 80:141-53.
37. Hidalgo, F. Daniel, and Jasjeet Sekhon. 2011. In International encyclopedia of political science, eds. Bertrand Badie, Dirk Berg-Schlosser, and Leonardo Morlino, 203-10. Thousand Oaks, CA: Sage Publications.
38. Holland, Paul W. 1986. Statistics and causal inference. Journal of the American Statistical Association 81:945-60.
39. Imai, Kosuke, Luke Keele, Dustin Tingely, and Teppei Yamamoto. 2011. Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies. American Political Science Review 105:765-89.
40. Imai, Kosuke, Luke Keele, and Teppei Yamamoto. 2010. Identification, inference, and sensitivity analysis for causal mediation effects. Statistical Science 25:51-71.
41. James, Oliver. 2009. Evaluating the expectations disconfirmation and expectations anchoring approaches to citizen satisfaction with local public services. Journal of Public Administration Research and Theory 19:107-23.
42. John, Peter, and Hugh Ward. 2005. How competitive is competitive bidding: The case of the single regeneration budget program. Journal of Public Administration Research and Theory 15:71-87.
43. King, Gary, Robert O. Keohane, and Sidney Verba. 1994. Designing social inquiry: Scientific inference in qualitative research. Princeton: Princeton University Press.
44. Konisky, David M. 2009. Inequities in enforcement? Environmental justice and government performance. Journal of Policy Analysis and Management 28:102-21.
45. Konisky, David M., and Christopher Reenock. Forthcoming. Examining sources of regulatory compliance bias in policy implementation. Journal of Politics.
46. Kotchen, Matthew J., and Michael R. Moore. 2007. Private provision of environmental public goods: Household participation in green-electricity programs. Journal of Environmental Economics and Management 53:1-16.
47. Lavertu, Stéphane, and David L. Weimer. 2011. Federal advisory committees, policy expertise, and the approval of drugs and medical devices at the FDA. Journal of Public Administration Research and Theory 21:211-37.
48. Long, Scott J. 1997. Regression models for categorical and limited dependent variables. Advanced Quantitative Techniques in the Social Sciences Number 7. Thousand Oaks, CA: Sage Publications.
49. Miller, Susan, and Jill Nicholson-Crotty. 2011. Bureaucratic effectiveness and influence in the legislature. Journal of Public Administration Research and Theory Advanced Access version, August 22.
50. Morgan, Stephen L., and Christopher Winship. 2007. Counterfactuals and causal inference: Methods and principles for social research. Cambridge: Cambridge University Press.
51. Moynihan, Donald P., and Noel Landuyt. 2008. Explaining turnover intention in state government: Examining the roles of gender, life cycle, and loyalty. Review of Public Personnel Administration 28:120-43.
52. Murray, Michael P. 2006. Avoiding invalid instruments and coping with weak instruments. Journal of Economic Perspectives 20:111-32.
53. Naper, Linn Renee. 2010. Teaching hiring practices and educational efficiency. Economics of Education Review 29:658-68.
54. Olson, Mary K. 1995. Regulatory agency discretion among competing industries: Inside the FDA. Journal of Law, Economics, and Organization 11:379-407.
55. Pandey, Sanjay, and Stuart I. Brettschneider. 1997. The impact of red tape's administrative delay on public organizations' interest in new information technologies. Journal of Public Administration Research and Theory 7:113-30.
56. Poirier, Dale J. 1980. Partial observability in bivariate probit models. Journal of Econometrics 12:209-17.
57. Reenock, Christopher M., and Brian J. Gerber. 2008. Political Insulation, Information Exchange, and Interest Group Access to the Bureaucracy. Journal of Public Administration Research and Theory 18:415-40.
58. Rosenbaum, Paul R., and Donald B. Rubin. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70:41-55.
59. 1984. Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association 79:516-24.
60. Rubin, D. B. 1979. Using multivariate matched sampling and regression adjustment to control bias in observational studies. Journal of the American Statistical Association 74, 318-28.
61. 1980. Bias reduction using mahalanobis metric matching. Biometrics 36, 293-98.
62. Sanford, Gordon C., and Alastair Smith. 2004. Quantitative leverage through qualitative knowledge: Augmenting the statistical analysis of complex causes. Political Analysis 12:223-55.
63. Sartori, Anne E. 2003. An estimator for some binary-outcome selection models without exclusion restrictions. Political Analysis 11:111-38.
64. Scholz, John T., and Cheng-Lung Wang. 2006. Cooptation or transformation? Local policy networks and federal regulatory enforcement. American Journal of Political Science 50:81-97.
65. Sekhon, Jasjeet S. 2008. The Neyman-Rubin model of causal inference and estimation via matching methods. In The Oxford handbook of political methodology, eds. Janet Box-Steffensmeier, Henry Brady, and David Collier, 271-99. New York: Oxford University Press.
66. Serra, George. 1995. Citizen-initiated contact and satisfaction with bureaucracy: A multivariate analysis. Journal of Public Administration Research and Theory 2:175-88.
67. Tobin, James. 1958. Liquidity preference as behavior towards risk. Review of Economic Studies 25:65-86.
68. Winship, Christopher, and Stephen L. Morgan. 1999. The estimation of causal effects from observational data. Annual Review of Sociology 25:659-707.
69. Wooldridge, Jeffrey M. 2002. Econometric analysis of cross section and panel data. Cambridge, MA: MIT Press.