Time series analysis for the social sciences

Time Series Analysis for the Social Sciences

Volumn , Issue , 2014, Pages 1-280

  Box Steffensmeier, Janet M ^a   Freeman, John R ^b   Hitt, Matthew P ^c   Pevehouse, Jon C W ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84952765545     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139025287     Document Type: Book

References (274)

1. Abramson, Paul R. and Charles W. Ostrom. 1991. “Macropartisanship: An Empirical Reassessment.” American Political Science Review 85(1):181-192.
2. Achen, Christopher H. 2000. “Why Lagged Dependent Variables Can Suppress the Explanatory Power of Other Independent Variables.” Paper presented at the Annual Meeting of Political Methodology, Los Angeles.
3. Ahking, Francis. 2002. “Model Mis-specification and Johansen’s Cointegration Analysis: An Application to the U.S. Money Demand.” Journal of Macroeconomics24(1):51-66.
4. Andersen, Torben G. and Tim Bollerslev. 1997. “Intraday Periodicity and Volatility Persistence in Financial Markets.” Journal of Empirical Finance 4(2-3):115-158.
5. Andersen, T. G., T. Bollerslev, F. X. Diebold, and H. Ebens. 2001. “The Distribution of Realized Stock Return Volatility.” Journal of Financial Economics 61(1):43-76.
6. Andrews, Donald W. K. 1991. “Heteroscedasticity and Autocorrelation Consistent Covariance Matrix Estimation.” Econometrica 59(3):817-858.
7. Andrews, Donald W. K. 1993. “Tests for Parameter Instability and Structural Change with Unknown Change Point.” Econometrica 61(4):821-856.
8. Ashley, Richard. 1998. “A New Technique for Postsample Model Selection and Validation.” Journal of Economic Dynamics and Control 22(5):647-665.
9. Bai, Jushan. 1994. “Least Squares Estimation of a Shift in Linear Processes.” Journal of Time Series Analysis 15(5):453-472.
10. Bai, Jushan and Pierre Perron. 1998. “Estimating and Testing Linear Models with Multiple Structural Changes.” Econometrica 66(1):47-78.
11. Bai, Jushan and Pierre Perron. 2003. “Computation and Analysis of Multiple Structural Change Models.” Journal of Applied Econometrics 18(1):1-22.
12. Bailey, W. C. 1974. “Murder and the Death Penalty.” Journal of Criminal Law and Criminology 65(3):416-423.
13. Baillie, Richard T. 1996. “Long Memory Processes and Fractional Integration in Econometrics.” Journal of Econometrics 73(1):5-59.
14. Baillie, Richard T. and Tim Bollerslev. 1989. “Common Stochastic Trends in a System of Exchange Rates.” Journal of Finance 44(1):167-181.
15. Baillie, Richard T. and Tim Bollerslev. 1994. “Cointegration, Fractional Cointegration, and Exchange Rate Dynamics.” Journal of Finance 49(2):737-745.
16. Baillie, Richard T., Ching-Fan Chung, and Margie A. Tieslau. 1996. “Analyzing Inflation Integration in Econometrics.” Journal of Econometrics 70:5-59.
17. Banerjee, Anindya, Juan Dolado, J. W. Galbraith, and David Hendry. 1993. CoIntegration, Error Correction, and the Econometric Analysis of Non-stationary Data. Oxford: Oxford University Press.
18. Barkoulas, John, Christopher F. Baum, and Mustafa Caglayan. 1997. “Fractional Monetary Dynamics.” Working Paper. Boston: Boston College.
19. Barkoulas, John and Christopher F. Baum. 2006. “Long-Memory Forecasting of US Monetary Indices.” Journal of Forecasting 25(4):291-302.
20. Bartlett, Maurice S. 1955. An Introduction to Stochastic Process. Cambridge: Cambridge University Press.
21. Baumer, Eric P., Steven F. Messner, and Richard Rosenfeld. 2003. “Explaining Spatial Variation in Support for Capital Punishment: A Multilevel Analysis.” American Journal of Sociology 108(4):844-875.
22. Bauwens, Luc, Sebastien Laurent, and Jeroen V. K. Rombouts. 2006. “Multivariate GARCH Models: A Survey.” Journal of Applied Econometrics 21(1):79-109.
23. Beck, Nathaniel. 1991. “The Illusion of Cycles in International Relations.” International Studies Quarterly 35(4):455-476.
24. Beck, Nathaniel. 1992. “The Methodology of Cointegration.” Political Analysis 4:237-247.
25. Beck, Nathaniel. 2012. “Sweeping Fewer Things under the Rug: Tis Often (Usually?) Better to Model than Be Robust.” Paper Presented at the Annual Meeting of the Society for Political Methodology, University of North Carolina, Chapel Hill.
26. Beck, Nathaniel and Jonathan N. Katz. 1996. “Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models.” Political Analysis 6(1):1-36.
27. Beck, Nathaniel and Jonathan N. Katz. 2011. “Modeling Dynamics in Time-Series-Cross-Section Political Economy Data.” Annual Review of Political Science 14:331-352.
28. Beran, Jan. 1994. Statistics for Long-Memory Processes. Boca Raton, FL: CRC Press.
29. Bollerslev, Tim. 1987. “A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return.” Review of Economics and Statistics 69(3):542-547.
30. Bowerman, Bruce L., Richard O’Connell, and Anne B. Koehler. 2004. Forecasting, Time Series, and Regression. 4th ed. Belmont, CA: Thomson-Brooks/Cole.
31. Box, George E. P. and G. Jenkins. 1970. Time-Series Analysis: Forecasting and Control. San Francisco: Holden Day.
32. Box, George E. P. and G. Jenkins. 1976. Time Series Analysis: Forecasting and Control. 2nd ed. San Francisco: Holden-Day.
33. Box, George E. P., Gwilym M. Jenkins, and Gregory C. Reinsel. 2008. Time Series Analysis: Forecasting and Control. 4th ed. New York: John Wiley and Sons.
34. Box, George E. P. and David A. Pierce. 1970. “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models.” Journal of the American Statistical Association 65(332):1509-1526.
35. Box, George E. P. and G. C. Tiao. 1975. “Intervention Analysis with Applications to Economic and Environmental Problems.” Journal of the American Statistical Association 70(349):70-79.
36. Box-Steffensmeier, Janet M. and Bradford S. Jones. 2004. Event History Modeling: A Guide for Social Scientists. New York: Cambridge University Press.
37. Box-Steffensmeier, Janet M. and Tse-Min Lin. 1995. “A Dynamic Model of Campaign Spending in Congressional Elections.” Political Analysis 6(1):37-66.
38. Box-Steffensmeier, Janet M. and Renee M. Smith. 1996. “The Dynamics of Aggregate Partisanship.” American Political Science Review 90(3):567-580.
39. Box-Steffensmeier, Janet M. and Renee M. Smith. 1998. “Investigating Political Dynamics Using Fractional Integration Methods.” American Journal of Political Science42(2):661-689.
40. Box-Steffensmeier, Janet M. and Andrew R. Tomlinson. 2000. “Fractional Integration Methods in Political Science.” Electoral Studies 19(1):63-76.
41. Brandt, Patrick T. and John R. Freeman. 2006. “Advances in Bayesian Time Series Modeling and the Study of Politics: Theory Testing, Forecasting, and Policy Analysis.” Political Analysis 14(1):1-36.
42. Brandt, Patrick T. and John R. Freeman. 2009. “Modeling Macro-Political Dynamics.” Political Analysis 17(2):113-142.
43. Brandt, Patrick T., John R. Freeman, and Philip A. Schrodt. 2011. “Real Time, Time Series Forecasting of Inter-and Intra-State Political Conflict.” Conflict Management and Peace Science 28(1):41-64.
44. Brandt, Patrick T. and John T. Williams. 2007. Modeling Multiple Time Series. Thousand Oaks, CA: Sage Publications.
45. Brockwell, P. J. and R. A. Davis. 2003. Introduction to Time Series and Forecasting. New York: Springer Verlag.
46. Buenode Mesquita, Bruce. 1997. “A Decision Making Model: Its Structure and Form.” International Interactions 23(2):235-266.
47. Campbell, Angus, Philip E. Converse, Warren E. Miller, and Donald E. Stokes. 1968. The American Voter. Chicago: University of Chicago Press.
48. Campbell, D. T. and H. L. Ross. 1968. “The Connecticut Crackdown on Speeding: Time-Series Data in Quasi-Experimental Analysis.” Law and Society Review 3(1):33-53.
49. Cantor, David and Kenneth C. Land. 2001. “Unemployment and Crime Rate Fluctuations: A Comment on Greenberg.” Journal of Quantitative Criminology 17(4):329-342.
50. Caporale, Tony and Kevin Grier. 2005. “How Smart Is My Dummy? Time Series Tests for the Influence of Politics.” Political Analysis 13(1):77-94.
51. Caporaso, James A. and Alan L. Pelowski. 1971. “Economic and Political Integration in Europe: A Time-Series Quasi-Experimental Analysis.” American Political Science Review 65(2):418-433.
52. Chamlin, Mitchell B. 1988. “Crime and Arrests: An Autoregressive Integrated Moving Average (ARIMA) Approach.” Journal of Quantitative Criminology 4(3):247-258.
53. Chatfield, Chris. 2003. The Analysis of Time Series: An Introduction. 6th ed. London: Chapman and Hall/CRC.
54. Cheung, Yin-Wong. 1993. “Long Memory in Foreign-Exchange Rates.” Journal of Business and Economic Statistics 11(1):93-101.
55. Cheung, Yin-Wong and Kon S. Lai. 1993. “A Fractional Cointegration Analysis of Purchasing Power Parity.” Journal of Business and Economic Statistics 11(1):103-112.
56. Choudhry, Taufiq. 1997. “Stock Return Volatility and World War II: Evidence from GARCH and GARCH-X Models.” International Journal of Finance and Economics 2(1):17-28.
57. Christenson, Dino P. and Corwin Smidt. 2008. “The Visible Primary.” http://visibleprimary.com. Last accessed April 28, 2014.
58. Clarke, Harold D., Marianne C. Stewart, and Paul F. Whiteley. 1998. “New Models for New Labour: The Political Economy of Labour Party Support, January 1992-April 1997.” American Political Science Review 92(3):559-575.
59. Cochrane, John H. 1988. “How Big Is the Random Walk in GNP?” Journal of Political Economy 96(5):893-920.
60. Cochrane, John H. Columbia Encyclopedia. (N.d.). New York: Columbia University Press.
61. Cooley, Thomas F. and Stephen F. Leroy. 1985. “Atheoretical Macroeconometrics: A Critique.” Journal of Monetary Economics 16(3):283-308.
62. Cortes, Fernando, Adam Przeworski, and John Sprague. 1974. Systems Analysis for Social Scientists. New York: John Wiley and Sons.
63. Cox, Gary W. and Jonathan Katz. 1996. “Why Did the Incumbancy Advantage Grow?” American Journal of Political Science 40(2):478-497.
64. Cromwell, J., W. C. Labys, and E. Kouassi. 2000. “What Color Are Commodity Prices? A Fractal Analysis.” Empirical Economics 25(4):563-580.
65. Cull, Paul, Mary Flahive, and Robby Robson. 2005. Difference Equations: From Rabbits to Chaos. New York: Springer.
66. Dagum, Estela Bee, Guy Huot, and Marietta Morry. 1988. “A New Look at an Old Problem: Finding Temporal Patterns in Homicide Series: The Canadian Case.” Canadian Journal of Statistics 16(4):1749-1766.
67. Dahlhaus, Rainer. 1989. “Efficient Parameter Estimation for Self-Similar Processes.” Annals of Statistics 17(4):1749-1766.
68. D’Alessio, Stewart J. and Lisa Stolzenberg. 1995. “The Impact of Sentencing Guidelines on Jail Incarceration in Minnesota.” Criminology 33(2):283-302.
69. Davenport, Christian. 1996. “The Weight of the Past: Exploring Lagged Determinants of Political Repression.” Political Research Quarterly 49(2):377-403.
70. Davidson, Russell and James G. MacKinnon. 1993. Estimation and Inference in Econometrics. New York: Oxford University Press.
71. DeBoef, Suzanna and Jim Granato. 1997. “Near-Integrated Data and the Analysis of Political Relationships.” American Journal of Political Science 41(2):619-640.
72. DeBoef, Suzanna L. and Luke J. Keele. 2008. “Taking Time Seriously: Dynamic Regression.” American Journal of Political Science 52(1):184-200.
73. DeFronzo, James. 1984. “Climate and Crime.” Environment and Behavior 16(2):185-210.
74. De Gooijer, Jan G. and Rob J. Hyndman. 2006. “25 Years of Time Series Forecasting.” International Journal of Forecasting 22(3):443-473.
75. Dejong, David N. and C. Dave. 2007. Structural Macroeconometrics. Princeton, NJ: Princeton University Press.
76. Dickey, David and Wayne A. Fuller. 1979. “Distribution of the Estimates for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association74(366):427-431.
77. Dickey, David A., and Wayne A. Fuller. 1981. “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root.” Econometrica 49(4):1057-1072.
78. Dickinson, Matthew and Matthew Lebo. 2007. “Reexamining the Growth of the Institutional Presidency, 1940-2000.” Journal of Politics 69(1):206-219.
79. Diebold, Francis X. 1989. “Random Walks vs. Fractional Integration: Power Comparisons of Scalar and Joint Tests of the Variance-Time Function.” Advances in Econometrics and Modeling (15):29-45.
80. Diebold, Francis X. and Roberto S. Mariano. 1995. “Comparing Predictive Accuracy.” Journal of Business and Economic Statistics 13(3):253-263.
81. Dolado, Juan J., Jesus Gonzalo, and Laura Maryoral. 2002. “A Fractional Dickey-Fuller Test for Unit Roots.” Econometrica 70(5):1963-2006.
82. Dueker, Michael and Patrick K. Asea. 1997. “Working Paper 1995-003a: NonMonotonic Long Memory Dynamics in Black-Market Exchange Rates.” Federal Reserve Bank of St. Lans.
83. Dueker, Michael and Richard Startz. 1998. “Maximum-Likelihood Estimation of Fractional Cointegration with an Application to U.S. and Canadian Bond Rates.” Review of Economics and Statistics 80(3):420-426.
84. Dunne, J. P. and R. Smith. 2007. The Econometrics ofMilitary Arms Races. Cambridge, MA: Elsevier Science and Technology Books.
85. Durr, Robert H. 1992. “An Essay on Cointegration and Error Correction Models.” Political Analysis (4):185-228.
86. Elaydi, Saber. 1999. An Introduction to Difference Equations. New York: Springer.
87. Enders, Walter. 2004. Applied Econometric Time Series. 2nd ed. Hoboken, NJ: John Wiley and Sons.
88. Enders, Walter. 2010. Applied Econometric Time-Series. 3rd ed. New York: John Wiley and Sons.
89. Enders, Walter and Todd Sandler. 2005. “After 9/11: Is It All Different Now?” Journal of Conflict Resolution 49(2):259-277.
90. Engle, Robert F. 1982. “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation.” Econometrica 50(4):987-1007.
91. Engle, Robert F. 2002. “New Frontiers for ARCH Models.” Journal of Applied Econometrics 17(5):425-446.
92. Engle, Robert F. and C. W. J. Granger. 1987. “Co-Integration and Error Correction: Representation, Estimation, and Testing.” Econometrica 55(2):251-276.
93. Engle, Robert F., David Lilien, and Russell Robins. 1987. “Estimating Time Varying Risk Premia in the Term Structure: The ARCH-M Model.” Econometrica 55(2):251-276.
94. Erikson, Robert S., Michael B. MacKuen, and James A. Stimson. 1998. “What Moves Macropartisanship? A Reply to Green, Palmquist and Schickler.” American Political Science Review 92(4):901-912.
95. Erikson, Robert S., Michael B. MacKuen, and James A. Stimson. 2002. The Macro Polity. Cambridge: Cambridge University Press.
96. Ermisch, John. 1988. “Econometric Analysis of Birth Rate Dynamics in Britain.” Journal of Human Resources 23(4):563-576.
97. Fair, Ray C. 1970. “The Estimation of Simultaneous Equation Models with Lagged Endogenous Variables and First Order Serially Correlated Errors.” Econometrica 38(3):507-516.
98. Ferdere, J. Peter. 1996. “Oil Price Volatility and the Macroeconomy.” Journal of Macroeconomics 18(1):1-26.
99. Fildes, Robert and Herman Steklerm. 2002. “The State of Macroeconomic Forecasting.” Journal of Macroeconomics 24(4):435-468.
100. Franses, Philip Hans and Dick van Dijk. 2005. “The Forecasting Performance of Various Models for Seasonality and Nonlinearity for Quarterly Industrial Production.” International Journal of Forecasting 21(1):87-102.
101. Franses, Philip Hans and Marius Ooms. 1997. “A Periodic Long-Memory Model for Quarterly UK Inflation.” International Journal of Forecasting 13(1):117-126.
102. Freeman, John R. 1983. “Granger Causality and the Time Series Analysis of Political Relationships.” American Journal of Political Science 27(2):327-358.
103. Freeman, John R. 1989. “Systematic Sampling, Temporal Aggregation, and the Study of Political Relationships.” Political Analysis 1(1):61-98.
104. Freeman, John R., Jude C. Hays, and Helmut Stix. 2000. “Democracy and Markets: The Case of Exchange Rates.” American Journal of Political Science 44(3):449-468.
105. Freeman, John R. and Daniel Houser. 1998. “A Computable Equilibrium Model for the Study of Political Economy.” American Journal of Political Science 42(2):628-660.
106. Freeman, John R. and Daniel Houser. 2001. “Economic Consequences of Political Approval Management in Comparative Perspective.” Journal of Comparative Economics 29(4):692-721.
107. Freeman, John R. and Duncan Snidal. 1983. “DeGustibus Non Est Disputandum? (There is no arguing about tastes?).” Canadian Journal of Political Science 16(1):155-160.
108. Freeman, John R., John T. Williams, and Tse-Min Lin. 1989. “Vector Autoregression and the Study of Politics.” American Journal of Political Science 33(4):842-877.
109. Friihwirth-Schnatter, Sylvia. 2006. Finite Mixture and Markov Switching Models. New York: Springer.
110. Garratt, Anthony and Shaun P. Vahey. 2006. “UK Real-Time Macro Data Characteristics.” Economic Journal 116(509):119-135.
111. Gelman, Andrew and Gary King. 1990. “Estimating Incumbency Advantage without Bias.” American Journal of Political Science 34(4):1142-1164.
112. Geweke, John and Susan Porter-Hudak. 1983. “The Estimation and Application of Long Memory Time Series Models.” Journal of Time Series Analysis 4:221-238.
113. Gilmour, John B. and Paul Rothstein. 1993. “Early Republican Retirement: A Cause of Democratic Dominance in the House of Representatives.” Legislative Studies Quarterly 18(3):345-365.
114. Goldberg, Samuel. 1986. Introduction to Difference Equations: With Illustrative Examples from Economics, Psychology, and Sociology. New York: Dover Publications.
115. Golder, Matt. N.d. “Time Series Models.” Available at https://files.nyu.edu/mrg217/public/timeseries.pdf.
116. Goldstein, Joshua S. 1988. Long Cycles: Prosperity and War in the Modern Age. New Haven, CT: Yale University Press.
117. Granato, Jim and Renee Smith. 1994a. “Exogeneity, Inference, and Granger Causality: Part I, The Stationary Case.” The Political Methodologist 5(2):24-28.
118. Granato, Jim and Renee Smith. 1994b. “Exogeneity, Inference, and Granger Causality: Part II, The Case of Integrated Regressors.” The Political Methodologist 6(1): 23-26.
119. Granger, Clive W. 1981. “Some Properties of Time Series Data and Their Use in Econometric Model Specification.” Journal of Econometrics 16(1):121-130.
120. Granger, Clive and Paul Newbold. 1974. “Spurious Regressions in Econometrics.” Journal of Econometrics 2(2):111-120.
121. Granger, Clive W. and A. A. Weiss. 1983. “Time Series Analysis of Error-Correction Models.” in Studies in Econometrics, Time Series, and Multivariate Statistics. New York: Academic Press, pp. 255-278.
122. Green, Donald P. and Bradley Palmquist. 1990. “Of Artifacts and Partisan Instability.” American Journal of Political Science 34(3):872-902.
123. Green, Donald P., Bradley Palmquist, and Eric Schickler. 1998. “Macropartisanship: A Replication and Critique.” American Political Science Review 92(4):883-899.
124. Greenberg, David F. 2001. “Time Series Analysis of Crime Rates.” Journal of Quantitative Criminology 17(4):291-327.
125. Greene, William H. 2003. Econometric Analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall.
126. Gronke, Paul and John Brehm. 2002. “History, Heterogeneity, and Presidential Approval: A Modified ARCH Approach.” Electoral Studies 21(3):425-452.
127. Hamilton, J. D. 1994. Time Series Analysis. Princeton, NJ: Princeton University Press.
128. Hansen, H. and K. Juselius. 1995. CATS in RATS. Manual to Cointegration Analysis of Time Series. Evanston, IL: Estima.
129. Hardy, G. H. 1949. A Course of Pure Mathematics. New York: MacMillan.
130. Harvey, David, S. Leybourne, and P. Newbold. 1997. “Testing the Equality of Prediction Mean Squared Errors.” International Journal of Forecasting 13(2):281-291.
131. Hatanaka, Michio. 1974. “An Efficient Two-Step Estimator for the Dynamic Adjustment Model with Autoregressive Errors.” Journal of Econometrics 2(3):199-220.
132. Hays, Jude C., John R. Freeman, and Hans Nesseth. 2003. “Exchange Rate Volatility and Democratization in Emerging Market Countries.” International Studies Quarterly 47(2):203-228.
133. Hendry, David F. 2003. “Forecasting Pitfalls.” Bulletin of EU and US Inflation and Macroeconomic Analysis 100:65-82.
134. Heo, Uk. 1996. “The Political Economy of Defense Spending in South Korea.” Journal of Peace Research 33(4):483-490.
135. Hetherington, Marc J. and Thomas J. Rudolph. 2008. “Priming, Performance, and the Dynamics of Political Trust.” Journal of Politics 70(2):498-512.
136. Hibbs, Douglas A. Jr. 1973-1974. “Problems of Statistical Estimation and Causal Inference in Time-Series Regression Models.” Sociological Methodology 5:252-308.
137. Hibbs, Douglas. 1982. “More on Economic Performance and Political Support in Britain.” American Political Science Review 76(2):282-284.
138. Hooker, R. H. 1905. “On the Correlation of Successive Observations.” Journal of the Royal Statistical Society 68(4):696-703.
139. Huckfeldt, R. Robert, Carol W. Kohfeld, and Thomas W. Likens. 1982. Dynamic Modeling: An Introduction. Beverly Hills, CA: Sage Publications.
140. Hurvich, Clifford M. and Kaizo I. Beltrao. 1993. “Asymptotics for the Low-Frequency Ordinates of the Periodogram of a Long-Memory Time Series.” Journal of Time Series Analysis 14(5):455-472.
141. Hurvich, Clifford M., Rohit Deo, and Julia Brodsky. 1998. “The Mean Squared Error of Geweke and Porter-Hudak’s Estimator of the Memory Parameter of a Long-Memory Time Series.” Journal of Time Series Analysis 19(1):19-46.
142. Ingram, Beth F. and Charles H. Whiteman. 1994. “Supplanting the ‘Minnesota’ Prior: Forecasting Macroeconomic Time Series Using Real Business Cycle Model Priors.” Journal of Monetary Economics 34(3):496-510.
143. Isard, Walter, Christine Smith, Charles Anderton. 1989. Arms Races, Arms Control, and Conflict Analysis: Contributions from Peace Science and Peace Economics. Cambridge, UK: Cambridge University Press.
144. Iqbal, Javed. 2011. “Forecasting Performance of Alternative Error Correction Models.” MPRA Paper, University Library of Munich, Germany. Available at http://EconPapers.repec.org/RePEc:pra:mprapa:298-226.
145. Jacobs, David and Jason T. Carmichael. 2002. “The Political Sociology of the Death Penalty: A Pooled Time-Series Analysis.” American Sociological Review 67(1):109-131.
146. Jacobs, David and Ronald E. Helms. 1996. “Toward a Political Model of Incarceration: A Time-Series Examination of Multiple Explanations for Prison Admission Rates.” American Journal of Sociology 102(2):323-357.
147. Johansen, Soren. 1988. “Statistical Analysis of Cointegration Vectors.” Journal of Economic Dynamics and Control 12(2-3):231-254.
148. Johansen, Soren. 1995. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford: Oxford University Press.
149. Kapetanios, George, Yongcheol Shin, and Andy Snell. 2006. “Testing for Cointegration in Nonlinear Smooth Transition Error Correction Models.” Econometric Theory 22(2):279-303.
150. Keele, Luke J. and Nathan J. Kelly. 2006. “Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables.” Political Analysis 14(2):186.
151. Kelley, Walter G. and Allan C. Peterson. 2001. Difference Equations: An Introduction with Applications. San Dieto, CA: Harcourt Academic Press.
152. Kennedy, Peter. 2008. A Guide to Econometrics. 6th ed. Cambridge, MA: MIT Press.
153. Kilic, Rehim. 2011. “Testing for Co-Integration and Nonlinear Adjustment in a Smooth Transition Error Correction Model.” Journal of Time Series Analysis 32(6):647-660.
154. Kim, Chang-Jin and Charles R. Nelson. 1999. “Has the U.S. Economy Become More Stable? A Bayesian Approach Based on a Markov-Switching Model of the Business Cycle.” Review of Economics and Statistics 81(4):608-616.
155. King, Anthony and Robert J. Wybrow. 2001. British Public Opinion: 1937-2000, The Gallup Polls. London: Politico’s Publishing.
156. Kinlay, Jonathan. 2005. “Forecasting and Trading Volatility in the S&P 500 Index: An Empirical Test of Options Market Efficiency.” Available at http://www.investmentanalytics.com.
157. Knopf, Jeffrey W. 1998. “How Rational Is the Rational Public? Evidence from US Public Opinion on Military Spending.” Journal of Conflict Resolution 42(5):544-571.
158. Kou, S. G. and Michael E. Sobel. 2004. “Forecasting the Vote: A Theoretical Comparison of Election Markets and Public Opinion Polls.” Political Analysis 12(3):277-295.
159. Krolzig, Hans-Martin. 1997. Markov Switching Vector Autoregressions. Modelling, Statistical Inference and Application to Business Cycle Analysis. Berlin: Springer.
160. Kwiatkowski, Denis, Peter C. B. Phillips, Peter Schmidt, and Yongcheol Shin. 1992. “Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?” Journal of Econometrics 54(1):159-178.
161. Kydland, Finn E. and Edward C. Prescott. 1991. “The Econometrics of the General Equilibrium Approach to Business Cycles.” Scandinavian Journal of Economics93(2):161-178.
162. Land, Kenneth C., Raymond H. C. Teske., and Hui Zheng. 2009. “The Short-Term Effects of Executions on Homicides: Deterrence, Displacement, or Both?” Criminology 47(4):1009-1043.
163. Lebo, Matthew and Janet M. Box-Steffensmeier. 2008. “Dynamic Conditional Correlations in Political Science.” American Journal of Political Science 52(3):688-704.
164. Lebo, Matthew, Adam J. McGlynn, and Gregory Koger. 2007. “Strategic Party Government: Party Influence in Congress, 1789-2000.” American Journal of Political Science 51(3):464-481.
165. Lebo, Matthew and Will Moore. 2003. “Dynamic Foreign Policy Behavior.” Journal of Conflict Resolution 47(1):13-32.
166. Lebo, M., R. W. Walker, and Harold D. Clarke. 2000. “You Must Remember This: Dealing with Long Memory in Political Analyses.” Electoral Studies 19(2):31-48.
167. Levitt, Steven D. 2001. “Alternative Strategies for Identifying the Link between Unemployment and Crime.” Journal of Quantitative Criminology 17(4):377-390.
168. Lewis-Beck, Michael S. 1979. “Some Economic Effects of Revolution: Models, Measurement, and the Cuban Evidence.” American Journal of Sociology 84(5):1127-1149.
169. Lien, Donald and Yiu Kuen Tse. 1999. “Fractional Cointegration and Futures Hedging.” Journal of Futures Markets 19(4):457-474.
170. Lin, Zhiqiu and Augustine Brannigan. 2003. “Advances in the Analysis of NonStationary Time Series: An Illustration of Cointegration and Error Correction Methods in Research on Crime and Immigration.” Quality and Quantity 37(2):151-168.
171. Liu, C. Y. and He J. 1991. “A Variance Ratio Test of Random Walks in Foreign Exchange Rates.” Journal of Finance 46(2):773-785.
172. Ljung, G. M. and G. E. P. Box. 1978. “On a Measure of Lack of Fit in Time Series Models.” Biometrika 65(2):297-303.
173. Ljungqvist, Lars and Thomas J. Sargent. 2000. Recursive Macroeconomic Theory. Cambridge, MA: MIT Press.
174. Lo, Andrew. 1991. “Long-Term Memory in Stock Market Prices.” Econometrica59(5):1279-1313.
175. Lo, Andrew and Craig MacKinlay. 1988. “Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test.” Review of Financial Studies 1(1):41-66.
176. Lucas, Robert Jr., Nancy Stokey, and Edward C. Prescott. 1989. Recursive Methods in Economic Dynamics. Cambridge, MA: Harvard University Press.
177. Lutkepohl, Helmut. 2005. New Introduction to Multiple Time Series Analysis. Berlin: Springer-Verlag.
178. MacKuen, Michael B., Robert S. Erikson, and James A. Stimson. 1989. “Macropartisanship.” American Political Science Review 83(4):1125-1142.
179. MacKuen, Michael B., Robert S. Erikson, and James A. Stimson. 1992. “Peasants or Bankers? The American Electorate and the U.S. Economy.” American Political Science Review 86(3):597-611.
180. Maddala, G. S. and In-Moo Kim. 1998. Unit Roots, Cointegration, and Structural Change. New York: Cambridge University Press.
181. Maestas, Cherie and Robert R. Preuhs. 2000. “Modeling Volatility in Political Time Series.” Electoral Studies 19(1):95-110.
182. Majeksi, Stephen J. 1985. “Expectations and Arms Races.” American Journal of Political Science 29(2):217-245.
183. Makridakis, Spyros, A. Anderson, R. Carbone, R. Fildes, M. Hibon, R. Lewandowski, J. Newton, E. Parzen, and R. Winkler. 1984. The Accuracy of Time Series Methods. New York: John Wiley and Sons.
184. Makridakis, S., C. Chatfield, M. Hibon, M. Lawrence, T. Mills, K. Ord, and L. F. Simmons. 1993. “The M2-Competition: A Real-Time Judgmentally Based Forecasting Study.” International Journal of Forecasting 9(1):5-22.
185. Makridakis, Spyros and M. Hibon. 2000. “The M3-Competition: Results, Conclusions and Implications.” International Journal of Forecasting 16(4):451-476.
186. Marinucci, D., & Robinson, P. M. 2001. Semiparametric fractional cointegration analysis. Journal of Econometrics 105(1):225-247.
187. McCleary, Richard and Richard A. Hay. 1980. Applied Time Series for the Social Sciences. Beverly Hills: Sage Publications.
188. McDowall, David. 2002. “Tests of Nonlinear Dynamics in U.S. Homicide Time Series, and Their Implications.” Criminology 40(3):711-736.
189. McDowall, David and Colin Loftin. 2005. “Are U.S. Crime Rate Trends Historically Contingent?” Journal of Research in Crime and Deliquency 42(4):359-383.
190. McDowall, David, Colin Loftin, and Matthew Pate. 2012. “Seasonal Cycles in Crime, and Their Variability.” Journal of Quantitative Criminology 28(3):389-410.
191. McDowall, David, Richard McCleary, Errol Meidinger, and Richard A. Hay. 1980. Interrupted Time Series Analysis. Beverly Hills, CA: Sage Publications.
192. McDowell, Allen. 2004. “From the Help Desk: Polynomial Distributed Lag Models.” Stata Journal 4:180-189.
193. McLeary, R. and R. A. Hay. 1980. Applied Time Series Analysis for the Social Sciences. Beverly Hills, CA: Sage Publications.
194. McLeod, A. Ian, Ian B. MacNeill, and Jahnabimala D. Bhattacharyya. 1985. “Seasonal Effects in Canadian Murders.” Canadian Journal of Statistics 13(4):269-275.
195. Meade, Nigel. 2000. “Evidence for the Selection of Forecasting Methods.” Journal of Forecasting 19(6):515-535.
196. Mebane, Walter R. Jr. 2000. “Coordination, Moderation, and Institutional Balancing in American Presidential and House Elections.” American Political Science Review 94(1):37-57.
197. Mebane, Walter R. 2005. “Partisan Messages, Unconditional Strategies, and Coordination in American Elections.” Revised version of a paper originally presented at the Annual Meeting of the Political Metholodolgy Society, Stanford University.
198. Merritt, Richard, Robert G. Muncaster, and Dina A. Zinnes. 1993. International Event Data Developments: DDIR Phase II. Ann Arbor: University of Michigan Press.
199. Miller, Michael P. 1994. “A Drunk and Her Dog: An Illustration of Cointegration and Error Correction.” The American Statistician 48(1):37-39.
200. Monroe, Burt L. and Philip A. Schrodt. 2008. “Introduction to the Special Issue: The Statistical Analysis of Political Text.” Political Analysis 16(4):351-355.
201. Monroe, Kristen R. 1978. “Economic Influences on Presidential Popularity.” Public Opinion Quarterly 42(3):360-369.
202. Monroe, Kristen R. 1979. “‘God of Vengeance and of Reward?’: The Economy and Presidential Popularity.” Political Behavior 1(4):301-329.
203. Montgomery, Alan L., Victor Zarnowitz, Ruey S. Tsay, and George C. Tiao. 1998. “Forecasting the U.S. Unemployment Rate.” Journal of the American Statistical Association 93(442):478-493.
204. Muth, Eginhard J. 1977. Transform Methods with Applications to Engineering and Operations Research. Englewood Cliffs, NJ: Prentice Hall.
205. Neill, Christine, and Andrew Leigh. 2008. “Do Gun Buy-Backs Save Lives-Evidence from Time Series Variation.” Current Issues in Criminal Justice 20(2):145-162.
206. Neill, Christine and Andrew Leigh. 2010. “Do Gun Buybacks Save Lives? Endux from Panel Data.” American Law and Economics Review 12(2):509-557.
207. Newey, W. K. and K. D. West. 1987. “A Simple, Positive Semi-Definite, Heteroskedas-ticity and Autocorrelation Consistent Covariance Matrix.” Econometrica 55(3):702-708.
208. Newton, H. Joseph. 1988. Timeslab: A Time Series Analysis Laboratory. Belmont, CA: Wadsworth Publishing.
209. Norpoth, Helmut and Thom Yantek. 1983. “Macroeconomic Conditions and Fluctuations of Presidential Popularity: The Question of Lagged Effects.” American Journal of Political Science 27(4):785-807.
210. O’Brien, Robert M. and Jean Stockard. 2006. “A Common Explanation for the Changing Age Distributions of Suicide and Homicide in the United States, 1930 to 2000.” Social Forces 84(3):1539-1557.
211. Olson, David E. and Michael D. Maltz. 2001. “Right-to-Carry Concealed Weapon Laws and Homicide in Large U.S. Counties: The Effect on Weapon Types, Victim Characteristics, and Victim-Offender Relationships.” Journal ofLaw and Economics 44(S2):747-770.
212. Organski, A. F. K. 2000. The Outcome ofthe Negotiations over the Status ofJerusalem: A Forecast. Ann Arbor: University of Michigan Press, pp. 343-59.
213. Ostrom, Charles W. Jr. and Renee M. Smith. 1992. “Error Correction, Attitude Persistence, and Executive Rewards and Punishments: A Behavioral Theory of Presidential Approval.” Political Analysis 4(1):127-183.
214. Pevehouse, Jon C. and Jason Brozek. 2010. “Time-Series Analysis.” in Oxford Handbook of Political Methodology. Oxford: Oxford University Press, pp. 456-474.
215. Phillips, P. C. B. and P. Perron. 1988. “Testing for a Unit Root in Time Series.” Biometrika 75(2):335-346.
216. Pierce, David A. 1977. “Relationships- and Lack Thereof- Between Economic Time Series, with Special Reference to Money and Interest Rates.” Journal of the American Statistical Association 72(357):11-22.
217. Pindyck, Robert S. and Daniel L. Rubinfeld. 1998. Microeconomics. 4th ed. Upper Saddle River, NJ: Prentice Hall.
218. Powell, G. Bingham Jr. and Guy D. Whitten. 1993. “A Cross-National Analysis of Economic Voting: Taking Account of the Political Context.” American Journal of Political Science 37(2):391-414.
219. Ray, B. K. 1993. “Modeling Long-Memory Processes for Optimal Long-Range Prediction.” Journal of Time Series Analysis 14(5):511-525.
220. Reid, D. J. 1972. “A Comparison of Forecasting Techniques on Economic Time Series.” In Forecasting in Action, Bramson, M. J., Helps, I. G. & Watson-Gandy, J. A. C. C., eds. Birmingham, U.K.: Operational Research Society.
221. Richards, Diana. 1993. “A Chaotic Model of Power Concentration in the International System.” International Studies Quarterly 37(1):55-72.
222. Richards, Diana, ed. 2000. Political Complexity: Nonlinear Models of Politics. Ann Arbor: University of Michigan Press.
223. Robert H. Durr, John B. Gilmour, and Christina Wolbrecht. 1997. “Explaining Congressional Approval.” American Journal of Political Science 41(1):175-207.
224. Robertson, John C. and Ellis W. Tallman. 1998. “Data Vintages and Measuring Forecast Model Performance.” Federal Reserve Bank of Atlanta Economic Review (4):4-20.
225. Robinson, P. M. 1995. “Log-Periodogram Regression of Time Series with Long Range Dependence.” Annals of Statistics 23(3):1048-1072.
226. Ruttenberg, Hattie. 1994. “The Limited Promise of Public Health Methodologies to Prevent Youth Violence.” Yale Law Journal 103(7):1885-1912.
227. Sabasteanski, Anna. 2005. “Chronology of Significant Terrorist Incidents 1961-2005.” Patterns of Global Terrorism, pp. 728-868.
228. Sabasteanski, Anna, ed. 2005. Patterns of Global Terrorism 1985-2005: U.S. Department of State Reports with Supplementary Documents and Statistics. Great Barrington, MA: Berkshire Publishing Group.
229. Samuelson, Larry. 1997. Evolutionary Games and Equilibrium Selection. Cambridge, MA: MIT Press.
230. Sanders, David, David Marsh, and Hugh Ward. 1993. “The Electoral Impact of Press Coverage of the British Economy, 1979-87.” British Journal of Political Science 23(2):175-210.
231. Sandler, Todd and Keith Hartley. 1995. The Economics of Defense. Cambridge, UK: Cambridge University Press.
232. Sandler, Todd and Walter Enders. 2004. “An Economic Perspective on Transnational Terrorism.” European Journal of Political Economy 20(2):301-316.
233. Sattler, Thomas, Patrick T. Brandt, and John R. Freeman. 2010. “Democratic Accountability in Open Economies.” Quarterly Journal of Political Science 5(1):71-97.
234. Sattler, Thomas, John R. Freeman, and Patrick T. Brandt. 2008. “Political Accountability and the Room to Maneuver: A Search for a Causal Chain.” Comparative Political Studies 41(9):1212-1239.
235. Schmidt, P. and P. C. B. Phillips. 1992. “LM Test for a Unit Root in the Presence of Deterministic Trend.” Oxford Bulletin of Economics and Statistics 54(3):257-287.
236. Schrodt, Philip A. 1994. “The Statistical Characteristics of Event Data.” International Interactions 20(1-2):35-53.
237. Schrodt, Philip A. and Deborah J. Gerner. 1997. “Empirical Indicators of Crisis Phase in the Middle East, 1979-1995.” Journal of Conflict Resolution 41(4):529-552.
238. Shor, Boris, Joseph Bafumi, Luke Keele, and David Park. 2007. “A Bayesian Multilevel Modeling Approach to Time-Series Cross-Sectional Data.” Political Analysis15(2):165-181.
239. Sims, Christopher. 1980. “Macroeconomics and Reality.” Econometrica 48(1):1-49.
240. Sims, Christopher A., James H. Stock, and Mark W. Watson. 1990. “Inference in Linear Time Series Models with Some Unit Roots.” Econometrica 58(1):113-144.
241. Sims, Christopher A. and Tao Zha. 1998. “Bayesian Methods for Dynamic Multivariate Models.” International Economic Review 39(4):949-968.
242. Sims, Christopher A. and Tao Zha. 1999. “Error Bands for Impulse Responses.” Econometrica 67(5):1113-1156.
243. Smyth, Russell and Paresh Narayan. 2006. “Multiple Regime Shifts in Concurring and Dissenting Opinions on the U.S. Supreme Court.” Journal of Empirical Legal Studies 3(1):79-98.
244. Sowell, Fallaw. 1992. “Maximum Likelihood Estimation of Stationary Univariate Fractionally Integrated Time Series Models.” Journal of Econometrics 53(1):165-188.
245. Spiegel, Murray R. 1971. Schaum’s Outline of Theory and Problems of Calculus of Finite Differences and Difference Equations. New York: McGraw-Hill.
246. Sprague, John. 1981. “One-Party Dominance in Legislatures.” Legislative Studies Quarterly 6(2):259-285.
247. Steffensmeier, Darrell, Ben Feldmeyer, Casey T. Harris, and Jeffery T. Ulmer. 2011. “Reassessing Trends in Black Violent Crime, 1980-2008: Sorting Out the “Hispanic Effect” in Uniform Crime Reports Arrests, National Crime Victimization Survey Offender Estimates, and US Prisoner Counts.” Criminology 49(1):197-251.
248. Stock, James and Mark Watson. 1988. “Testing for Common Trends.” Journal of the American Statistical Association 83(404):1097-1107.
249. Stock, James H. and Mark W. Watson. 1993. “A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems.” Econometrica 61(4):783-820.
250. Stock, James H. and Mark W. Watson. 2006. “Forecasting with Many Predictors.” Handbook of Economic Forecasting. New York: Elsevier, pp. 515-554.
251. Stock, James H. and Mark W. Watson. 2007. Introduction to Econometrics. 2nd ed. Boston: Addison, Wesley, Longman.
252. Strazicich, Mark C., J. Lee, and E. Day. 2004. “Are Incomes Converging among OECD Countries? Time Series Evidence with Two Structural Breaks.” Journal of Macroeconomics 26:131-145.
253. Tahk, Alex, Jon A. Krosnick, Dean Lacy, and Laura Lowe. 2013. “Do the News Media Shape How Americans Think about Politics? New Statistical Procedures Cast New Light on an Old Hypothesis.” Working Paper, University of Wisconsin.
254. Tennenbaum, Abraham N. and Edward L. Fink. 1994. “Temporal Regularities in Homicide: Cycles, Seasons, and Autoregression.” Journal of Quantitative Criminology10(2):317-342.
255. Theil, Henri. 1966. Applied Economic Forecasting. Amsterdam: North-Holland Publishing Company.
256. Tsay, Ruey S. 2002. Analysis ofFinancial Time Series. New York: John Wiley and Sons.
257. Wallis, Kenneth F. 1967. “Lagged Dependent Variables and Serially Correlated Errors: A Reappraisal of Three-Pass Least Squares.” Review of Economics and Statistics 49(4):555-567.
258. Ward, Michael D. 1984. “Differential Paths to Parity: A Study of the Contemporary Arms Race.” American Political Science Review 78(2):297-317.
259. Ward, Michael D. and Sheen Rajmaira. 1992. “Reciprocity and Norms in U.S.-Soviet Foreign Policy.” Journal of Conflict Resolution 36(2):342-368.
260. Wawro, Gregory J. 2002. “Estimating Dynamic Panel Models in Political Science.” Political Analysis 10(1):25-48.
261. Weisberg, Herbert F. and David Kimball. 1995. Attitudinal Correlates of the 1992 Presidential Vote: Party Identification and Beyond. Chatham, NJ: Chatham House.
262. Weisberg, Herbert F. and Charles E. Smith, Jr. 1991. “The Influence of the Economy on Party Identification in the Reagan Years.” Journal of Politics 53(4):1077-1092.
263. Whiteley, Paul F. 1988. “The Causal Relationships between Issues, Candidate Evaluations, Party Identification, and Vote Choice- the View from ‘Rolling Thunder.’” Journal of Politics 50(4):961-984.
264. Wood, Dan B. 2000. “Weak Theories and Parameter Instability: Using Flexible Least Squares to Take Time Varying Relationships Seriously.” American Journal of Political Science 44(3):603-618.
265. Wray, Matt, Cynthia Colen, and Bernice Pescosolido. 2011. “The Sociology of Suicide.” Annual Review of Sociology 37:505-528.
266. Yaffee, Robert A. and Monnie McGee. 2000. An Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS. Cambridge, MA: Elsevier Science and Technology.
267. Young, H. Peyton. 1993. “An Evolutionary Model of Bargaining.” Journal of Economic Theory 59(1):145-168.
268. Yule, G. Udny. 1921. “On the Time-Correlation Problem, with Especial Reference to the Variate-Difference Correlation Method.” Journal of the Royal Statistical Society 84(4):497-537.
269. Yule, G. Udny. 1926. “Why Do We Sometimes Get Nonsense-Correlations between Time-Series? A Study in Sampling and the Nature of Time-Series.” Journal of the Royal Statistical Society 89(1):1-63.
270. Zeitzoff, Thomas. 2011. “Using Social Media to Measure Conflict Dynamics: An Application to the 2008-2009 Gaza Conflict.” Journal of Conflict Resolution 55(6):938-969.
271. Zeileis, Achim, Christian Kleiber, Walter Kramer, and Kurt Hornik. 2003. “Testing and Dating of Structural Changes in Practice.” Computational Statistics and Data Analysis 44(1):109-123.
272. Zimring, Franklin E. 1996. “Kids, Guns, and Homicide: Policy Notes on an Age-Specific Epidemic.” Law and Contemporary Problems 59(1):25-37.
273. Zimring, Franklin E., Satyanshu K. Mukherjee, and Barrik Van Winkle. 1983. “Intimate Violence: A Study of Intersexual Homicide in Chicago.” University of Chicago Law Review 50:910.
274. Zinnes, Dina A. and Robert G. Muncaster. 1984. “The Dynamics of Hostile Activity and the Prediction of War.” Journal of Conflict Resolution 28(2):187-229.