Capability, Credibility, and Extended General Deterrence. Supplemental Material

Similar documents
War and Relatedness Enrico Spolaore and Romain Wacziarg September 2015

WEB APPENDIX Leadership Turnover and Foreign Policy Change: Societal Interests, Domestic Institutions, and Voting in the United Nations

Votes, Vetoes & PTAs. Edward D. Mansfield & Helen V. Milner

Supplemental Appendix for Beyond Ricardo: The Link Between Intraindustry. Timothy M. Peterson Oklahoma State University

On the purpose of testing:

Transforming Concepts into Variables

Experiments. Outline. Experiment. Independent samples designs. Experiment Independent variable

How to use: ONLINE TOOLS & How to interpret: RESULTS FROM GRAPHS

What Causes war? C h. 1 : T e r m i n o l o g y & Methodology. Notes by Denis Bašić

Untangling Selection Effects in Studies of Coercion

Psychology Research Process

PARALLELISM AND THE LEGITIMACY GAP 1. Appendix A. Country Information

Mean Absolute Deviation (MAD) Statistics 7.SP.3, 7.SP.4

Fitting discrete-data regression models in social science

Supplementary Figures

Alan S. Gerber Donald P. Green Yale University. January 4, 2003

Appendix for: Offense-Defense Theory: An Empirical Assessment Journal of Conflict Resolution 49 (1) Yoav Gortzak, Yoram Z. Haftel, and Kevin Sweeney

4 Diagnostic Tests and Measures of Agreement

Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:1 26, 2008

Statisticians deal with groups of numbers. They often find it helpful to use

Specifying & systematizing how we think about the Gray Zone

Designing Psychology Experiments: Data Analysis and Presentation

Benchmark Dose Modeling Cancer Models. Allen Davis, MSPH Jeff Gift, Ph.D. Jay Zhao, Ph.D. National Center for Environmental Assessment, U.S.

SUPPLEMENTAL MATERIAL

Political Science 15, Winter 2014 Final Review

AP STATISTICS 2007 SCORING GUIDELINES

The normal curve and standardisation. Percentiles, z-scores

Modelling Research Productivity Using a Generalization of the Ordered Logistic Regression Model

Hierarchical Bayesian Modeling of Individual Differences in Texture Discrimination

Effects of Civil Society Involvement on Popular Legitimacy of Global Environmental Governance

Trainer Assessment Report Guidelines (TARG) 2019 Approved : December Contents

Bayesian versus maximum likelihood estimation of treatment effects in bivariate probit instrumental variable models

Identifying the Long-Term Effect of Prenatal Famine Exposure on Female Sterility (Extended Abstract)

CROSS EXAMINATION TECHNIQUES

Common Errors. ClinicalTrials.gov Basic Results Database

To open a CMA file > Download and Save file Start CMA Open file from within CMA

SUPPLEMENTARY INFORMATION In format provided by Javier DeFelipe et al. (MARCH 2013)

Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk

T. R. Golub, D. K. Slonim & Others 1999

Food Production and Violent Conflict in Sub-Saharan Africa. - Supplementary Information -

Designing Psychology Experiments: Data Analysis and Presentation

Lesson Title Cuban Missile Crisis From Debra St Jean

But Wait, There s More! Maximizing Substantive Inferences from TSCS Models

2.4: Air Power. Alex Montgomery

THEORY OF UNIPOLAR POLITICS forthcoming at Cambridge University Press

INTERVENTIONS AS INFLUENCE

Evaluating Risk Assessment: Finding a Methodology that Supports your Agenda There are few issues facing criminal justice decision makers generating

This study guide will be due on day of Cold War Test: TERMS NOT REQUIRED only the DISCUSSION QUESTIONS.

Author s response to reviews

A-LEVEL General Studies B

ANXIETY A brief guide to the PROMIS Anxiety instruments:

In recent years, Time-Series Cross-Sectional

Title:Bounding the Per-Protocol Effect in Randomized Trials: An Application to Colorectal Cancer Screening

NEW METHODS FOR SENSITIVITY TESTS OF EXPLOSIVE DEVICES

The Practice and Problems of Social Research

BY: Bernard L. Cohen University of Pittsburgh. Pittsburgh, PA ABSTRACT

To open a CMA file > Download and Save file Start CMA Open file from within CMA

Proper Nouns and Methodological Propriety: Pooling Dyads in International Relations Data

Essential Skills for Evidence-based Practice: Statistics for Therapy Questions

Results & Statistics: Description and Correlation. I. Scales of Measurement A Review

Supplementary Information Methods Subjects The study was comprised of 84 chronic pain patients with either chronic back pain (CBP) or osteoarthritis

Inequality and Happiness

NIGHT CRIMES: An Applied Project Presented to The Faculty of the Department of Economics Western Kentucky University Bowling Green, Kentucky

University of Oxford Intermediate Social Statistics: Lecture One

Online Supplementary Appendix

Math Workshop On-Line Tutorial Judi Manola Paul Catalano. Slide 1. Slide 3

Mid-American Review of Sociology NOTES AND COMMENTS

Welcome to Precalculus-Statistics!

Translate the problem to an equation. Do not solve. 1) Anita drives her car at 63 mph. How long did she drive to cover a distance of 246 miles?

CHAPTER NINE DATA ANALYSIS / EVALUATING QUALITY (VALIDITY) OF BETWEEN GROUP EXPERIMENTS

Math Workshop On-Line Tutorial Judi Manola Paul Catalano

Supplementary Materials

The Process of Scientific Inquiry Curiosity. Method. The Process of Scientific Inquiry. Is there only one scientific method?

Standard Scores. Richard S. Balkin, Ph.D., LPC-S, NCC

Computing discriminability and bias with the R software

CRITERIA FOR USE. A GRAPHICAL EXPLANATION OF BI-VARIATE (2 VARIABLE) REGRESSION ANALYSISSys

Supplemental Material. Experiment 1: Face Matching with Unlimited Exposure Time

We define a simple difference-in-differences (DD) estimator for. the treatment effect of Hospital Compare (HC) from the

COLLEGE ALGEBRA PREREQUISITE REVIEW NAME: CLASS: DUAL ENROLLMENT MAC 1105 DUE DATE: 08/23/10

Hexavalent Chromium Oral Reference Dose

1. Introduction. 2. Objective

REPORT DOCUMENTATION PAGE

Natural Experiments. Thad Dunning Department of Political Science Yale University. Draft entry for the International Encyclopedia of Political Science

Appendix A: Supplemental Materials

RAG Rating Indicator Values

Open Up the Textbook (OUT)

Statistics as a Tool. A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.

5 14.notebook May 14, 2015

Methods for the Statistical Analysis of Discrete-Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force

Are Retrievals from Long-Term Memory Interruptible?

Chapter IR:VIII. VIII. Evaluation. Laboratory Experiments Logging Effectiveness Measures Efficiency Measures Training and Testing

Reactive agents and perceptual ambiguity

SHIRE v FERRING. Promotion of Pentasa CASE AUTH/2299/2/10

EXPERIMENT 2: ACID/BASE TITRATION. Each person will do this laboratory individually. Individual written reports are required.

8.2 Relative Frequency

Avatars Versus Agents: A Meta-Analysis Quantifying the Effect of Agency on Social Influence

STATISTICAL METHODS FOR DIAGNOSTIC TESTING: AN ILLUSTRATION USING A NEW METHOD FOR CANCER DETECTION XIN SUN. PhD, Kansas State University, 2012

Regional variation in health state preferences Does it exist, and does it matter?

Modeling Effectiveness in International Relations

Color Proportions in Skittles Candies. (title of lab, centered, and underlined; DO NOT include Lab or Lab Report in title)

Transcription:

Capability, Credibility, and Extended General Deterrence Supplemental Material Jesse C. Johnson University of Kentucky Brett Ashley Leeds Rice University and Ahra Wu Rice University This document includes tables for all of the robustness checks mentioned in the text and footnotes. The model numbers at the top of the columns of the tables correspond to the models in Table 1 of the manuscript. Before each table is a brief description of the robustness check. After each description in parentheses, is the page number or footnote where the robustness check is mentioned in the manuscript.

Table A1 reports the descriptive statistics of the variables included in our main analysis. Table A1: Descriptive Statistics Variable Obs Mean SD Min Max MID Dispute Initiation 585,432 0.002 0.043 0 1 Capabilities of Target and Allies Compared 585,432 0.914 0.174 0.003 1 1 to Challenger plus Target plus Allies Similarity in Alliance Portfolios 585,432 0.913 0.151 0.024 1 between Target and Allies Level of Peacetime Military Coordination 572,178 2.276 0.620 1 3 in Target s Alliance Potential Challenger Has 585,432 0.030 0.171 0 1 a Relevant Offensive Alliance Potential Challenger Has 585,432 0.049 0.216 0 1 a Relevant Neutrality Pact Challenger-Target Distance 585,432 8.198 0.825 1.609 9.421 Similarity in Alliance Portfolios 585,432 0.701 0.197-0.217 1 between Challenger and Target Challenger-Target Joint Democracy 585,432 0.121 0.326 0 1 Peace Years 585,432 34.944 34.362 0 184 1 Rounded to the nearest ten thousandth place. 1

Table A2 reports the results of our analysis when we exclude observations of ongoing dispute years (footnote 7). Table A2: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model Model Model 1 2 3 4 5 Capabilities of Target and Allies Compared -0.48** - -1.38** - -1.39** to Challenger plus Target plus Allies (0.05) (0.25) (0.25) Similarity in Alliance Portfolios - -0.74** -1.60** - -1.63** between Target and Allies (0.05) (0.24) (0.24) Interaction between Capability and - - 0.94** - 0.96** Similarity in Alliance Portfolios (0.27) (0.27) Level of Peacetime Military Coordination - - - -0.04* -0.03* in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.21** 0.25** 0.17** 0.27** 0.18** a Relevant Offensive Alliance (0.04) (0.04) (0.04) (0.04) (0.04) Potential Challenger Has 0.34** 0.40** 0.32** 0.41** 0.32** a Relevant Neutrality Pact (0.04) (0.04) (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.41** -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.47** -0.53** -0.47** -0.53** -0.47** between Challenger and Target (0.05) (0.05) (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.04-0.04-0.03-0.04-0.03 (0.04) (0.04) (0.04) (0.04) (0.04) Constant 1.36** 1.65** 2.82** 1.03** 2.88** (0.10) (0.11) (0.23) (0.11) (0.24) Observations 585,099 585,099 585,099 571,852 571,852 2

Table A3 reports the results of our analysis when we exclude observations in which the potential target formed alliances during the same year a dispute begins (footnote 8). Table A3: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model Model Model 1 2 3 4 5 Capabilities of Target and Allies Compared -0.44** - -1.41** - -1.42** to Challenger plus Target plus Allies (0.05) (0.25) (0.25) Similarity in Alliance Portfolios - -0.74** -1.67** - -1.71** between Target and Allies (0.06) (0.24) (0.25) Interaction between Capability and - - 1.02** - 1.05** Similarity in Alliance Portfolios (0.27) (0.27) Level of Peacetime Military Coordination - - - -0.03-0.04* in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.19** 0.22** 0.15** 0.25** 0.16** a Relevant Offensive Alliance (0.05) (0.05) (0.05) (0.04) (0.05) Potential Challenger Has 0.36** 0.42** 0.35** 0.43** 0.35** a Relevant Neutrality Pact (0.04) (0.04) (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.41** -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.42** -0.48** -0.42** -0.47** -0.43** between Challenger and Target (0.06) (0.05) (0.05) (0.06) (0.06) Challenger-Target Joint Democracy -0.03-0.03-0.02-0.03-0.02 (0.04) (0.04) (0.04) (0.04) (0.04) Constant 1.29** 1.61** 2.81** 0.99** 2.88** (0.11) (0.11) (0.24) (0.11) (0.25) Observations 585,369 585,369 585,369 572,116 572,116 3

Table A4 reports the results of our analysis when we exclude observations in which the potential target was a member of NATO (footnote 11). Table A4: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model Model Model 1 2 3 4 5 Capabilities of Target and Allies Compared -0.61** - -1.83** - -1.91** to Challenger plus Target plus Allies (0.05) (0.26) (0.26) Similarity in Alliance Portfolios - -0.57** -1.73** - -1.86** between Target and Allies (0.06) (0.24) (0.25) Interaction between Capability and - - 1.30** - 1.40** Similarity in Alliance Portfolios (0.28) (0.29) Level of Peacetime Military Coordination - - - -0.11** -0.12** in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.23** 0.31** 0.20** 0.33** 0.20** a Relevant Offensive Alliance (0.05) (0.05) (0.05) (0.05) (0.05) Potential Challenger Has 0.20** 0.30** 0.18** 0.31** 0.18** a Relevant Neutrality Pact (0.05) (0.05) (0.05) (0.04) (0.05) Challenger-Target Distance -0.42** -0.42** -0.41** -0.41** -0.41** (0.01) (0.01) (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.16* -0.32** -0.17** -0.28** -0.17** between Challenger and Target (0.06) (0.06) (0.06) (0.06) (0.07) Challenger-Target Joint Democracy -0.06-0.04-0.06-0.07-0.10 (0.05) (0.05) (0.05) (0.05) (0.05) Constant 1.32** 1.41** 2.90** 1.09** 3.23** (0.11) (0.12) (0.24) (0.12) (0.25) Observations 496,898 496,898 496,898 483,644 483,644 4

Table A5 reports the results of our analysis when we exclude observations in which the potential challenger and the potential target share a defense pact with one another (footnote 11). Table A5: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model Model Model 1 2 3 4 5 Capabilities of Target and Allies Compared -0.48** - -1.55** - -1.57** to Challenger plus Target plus Allies (0.05) (0.25) (0.25) Similarity in Alliance Portfolios - -0.79** -1.82** - -1.88** between Target and Allies (0.06) (0.24) (0.25) Interaction between Capability and - - 1.13** - 1.16** Similarity in Alliance Portfolios (0.28) (0.28) Level of Peacetime Military Coordination - - - -0.05** -0.05** in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.24** 0.27** 0.19** 0.31** 0.19** a Relevant Offensive Alliance (0.05) (0.05) (0.05) (0.05) (0.05) Potential Challenger Has 0.30** 0.36** 0.27** 0.37** 0.28** a Relevant Neutrality Pact (0.04) (0.04) (0.04) (0.04) (0.04) Challenger-Target Distance -0.41** -0.41** -0.40** -0.41** -0.39** (0.01) (0.01) (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.54** -0.66** -0.62** -0.58** -0.63** between Challenger and Target (0.06) (0.06) (0.06) (0.06) (0.06) Challenger-Target Joint Democracy -0.12* -0.12* -0.11* -0.12* -0.11* (0.05) (0.05) (0.05) (0.05) (0.05) Constant 1.45** 1.77** 3.07** 1.15** 3.18** (0.11) (0.12) (0.24) (0.12) (0.25) Observations 528,091 528,091 528,091 514,921 514,921 5

Table A6 reports the results of our analysis when we exclude allies of the target which are also allied to the challenger (footnote 12). Table A6: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model Model Model 1 2 3 4 5 Capabilities of Target and Allies Compared -0.46** - -1.85** - -1.85** to Challenger plus Target plus Allies (0.05) (0.27) (0.27) Similarity in Alliance Portfolios - -0.91** -2.24** - -2.29** between Target and Allies (0.06) (0.26) (0.27) Interaction between Capability and - - 1.43** - 1.45** Similarity in Alliance Portfolios (0.29) (0.30) Level of Peacetime Military Coordination - - - -0.05* -0.05* in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.23** 0.25** 0.17** 0.30** 0.17** a Relevant Offensive Alliance (0.05) (0.05) (0.05) (0.05) (0.05) Potential Challenger Has 0.34** 0.38** 0.29** 0.40** 0.30** a Relevant Neutrality Pact (0.04) (0.04) (0.04) (0.04) (0.04) Challenger-Target Distance -0.41** -0.41** -0.40** -0.41** -0.39** (0.01) (0.01) (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.53** -0.68** -0.65** -0.57** -0.67** between Challenger and Target (0.06) (0.06) (0.06) (0.06) (0.06) Challenger-Target Joint Democracy -0.11* -0.12** -0.11* -0.11* -0.10* (0.05) (0.05) (0.05) (0.05) (0.05) Constant 1.44** 1.91** 3.51** 1.11** 3.56** (0.11) (0.12) (0.26) (0.11) (0.26) Observations 523,177 523,177 523,177 509,946 509,946 6

Table A7 reports the results of our analysis when we allow the relationship between the alliance s capabilities relative to the challenger s capabilities and dispute initiation to be nonlinear by including a squared and cubed term of the measure (footnote 14). Table A7: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 1 3 5 Capabilities of Target and Allies Compared -1.74** -3.01** -2.76** to Challenger plus Target plus Allies (0.68) (0.77) (0.80) (Capabilities of Target and Allies Compared 4.68** 5.49** 5.02** to Challenger plus Target plus Allies) 2 (1.32) (1.34) (1.38) (Capabilities of Target and Allies Compared -3.44** -3.81** -3.55** to Challenger plus Target plus Allies) 3 (0.74) (0.76) (0.78) Similarity in Alliance Portfolios - -1.44** -1.44** between Target and Allies (0.25) (0.26) Interaction between Capability and - 0.77** 0.76** Similarity in Alliance Portfolios (0.29) (0.29) Level of Peacetime Military Coordination - - -0.02 in Target s Alliance (0.02) Potential Challenger Has 0.18** 0.15** 0.15** a Relevant Offensive Alliance (0.04) (0.04) (0.04) Potential Challenger Has 0.34** 0.32** 0.32** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.39** -0.39** -0.39** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.44** -0.44** -0.44** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.02-0.02-0.02 (0.04) (0.04) (0.04) Constant 1.22** 2.62** 2.61** (0.14) (0.28) (0.29) Observations 585,432 585,432 572,178 7

Table A8 reports the results of our analysis when we include only the capabilities of the members of the potential target s strongest single alliance (page 18). Table A8: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 1 3 5 Capabilities of Target and Allies Compared -0.50** -1.45** -1.46** to Challenger plus Target plus Allies (0.05) (0.24) (0.24) Similarity in Alliance Portfolios - -1.65** -1.67** between Target and Allies (0.23) (0.24) Interaction between Capability and - 1.00** 1.01** Similarity in Alliance Portfolios (0.26) (0.27) Level of Peacetime Military Coordination - - -0.03 in Target s Alliance (0.02) Potential Challenger Has 0.20** 0.17** 0.17** a Relevant Offensive Alliance (0.04) (0.04) (0.04) Potential Challenger Has 0.33** 0.31** 0.32** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.46** -0.46** -0.46** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.04-0.03-0.03 (0.04) (0.04) (0.04) Constant 1.39** 2.88** 2.94** (0.10) (0.23) (0.24) Observations 585,432 585,432 572,178 8

Table A9 reports the results of our analysis when we include only the capabilities of the potential target s strongest single ally (page 18). Table A9: Probit Analysis of Dispute Initiation 1816-2000 Capabilities of Target and Ally Compared to Challenger plus Target plus Ally Model Model Model 1 3 5-0.43** (0.04) -1.64** (0.23) -1.65** (0.24) Similarity in Alliance Portfolios - -1.88** -1.91** between Target and Allies (0.22) (0.22) Interaction between Capability and - 1.23** 1.25** Similarity in Alliance Portfolios (0.25) (0.26) Level of Peacetime Military Coordination - - -0.03 in Target s Alliance (0.02) Potential Challenger Has 0.21** 0.16** 0.17** a Relevant Offensive Alliance (0.04) (0.04) (0.04) Potential Challenger Has 0.34** 0.31** 0.31** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.46** -0.44** -0.45** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.03-0.03-0.02 (0.04) (0.04) (0.04) Constant 1.29** 3.03** 3.10** (0.10) (0.22) (0.23) Observations 585,432 585,432 572,178 9

Table A10 reports the results of our analysis when we include the capabilities of the potential challenger s offensive allies (page 22 and footnote 15). Table A10: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 1 3 5 Capabilities of Target and Its Allies -0.45** -1.12** -1.12** Compared to Challenger plus Target plus Target s Defensive Allies plus Challenger s Offensive allies (0.05) (0.23) (0.23) Similarity in Alliance Portfolios - -1.36** -1.39** between Target and Allies (0.22) (0.22) Interaction between Capability and - 0.69** 0.70** Similarity in Alliance Portfolios (0.25) (0.25) Level of Peacetime Military Coordination - - -0.04* in Target s Alliance (0.02) Potential Challenger Has 0.11* 0.06 0.06 a Relevant Offensive Alliance (0.05) (0.05) (0.05) Potential Challenger Has 0.36** 0.35** 0.35** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.47** -0.48** -0.48** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.04-0.03-0.03 (0.04) (0.04) (0.04) Constant 1.35** 2.60** 2.66** (0.10) (0.22) (0.23) Observations 585,432 585,432 572,178 10

Table A11 reports the results of our analysis when we use the natural log of the alliance s capabilities relative to the challenger s capabilities (footnote 15). Table A11: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 1 3 5 ln(capabilities of Target and Allies Compared -0.72** -2.16** -2.18** to Challenger plus Target plus Allies+1) (0.07) (0.40) (0.41) Similarity in Alliance Portfolios - -1.70** -1.73** between Target and Allies (0.28) (0.28) Interaction between Capability and - 1.48** 1.51** Similarity in Alliance Portfolios (0.44) (0.44) Level of Peacetime Military Coordination - - -0.04* in Target s Alliance (0.02) Potential Challenger Has 0.21** 0.17** 0.18** a Relevant Offensive Alliance (0.04) (0.04) (0.04) Potential Challenger Has 0.34** 0.32** 0.33** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.47** -0.47** -0.47** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.04-0.04-0.03 (0.04) (0.04) (0.04) Constant 1.41** 2.97** 3.04** (0.10) (0.27) (0.27) Observations 585,432 585,432 572,178 11

Table A12 reports the results of our analysis when we adjust the capabilities of the potential challenger and the potential target s allies by the distance from them to the potential target. The adjusted capabilities were calculated according to the formula below. The miles per day changes over time: 250 miles per day for the years 1816-1918, 375 miles per day for the years 1919-1945, and 500 miles per day after 1945 (Bueno de Mesquita 1981: 104-5) (page 18). Adjusted Capabilities Table A12: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 1 3 5 Adjusted Capabilities of Target and Allies -0.74** -1.52** -1.54** Compared to Challenger plus Target plus Allies (0.05) (0.23) (0.23) Similarity in Alliance Portfolios - -1.48** -1.52** between Target and Allies (0.22) (0.22) Interaction between Capability and - 0.86** 0.88** Similarity in Alliance Portfolios (0.25) (0.25) Level of Peacetime Military Coordination - - -0.03 in Target s Alliance (0.02) Potential Challenger Has 0.16** 0.14** 0.14** a Relevant Offensive Alliance (0.04) (0.04) (0.05) Potential Challenger Has 0.29** 0.27** 0.28** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.38** -0.39** -0.38** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.44** -0.45** -0.46** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.04-0.04-0.03 (0.04) (0.04) (0.04) Constant 1.46** 2.79** 2.84** (0.10) (0.22) (0.22) Observations 585,432 585,432 572,178 12

Table A13 reports the results of our analysis when we include only the similarity in alliance portfolios between the target and its allies for its strongest single alliance (page 20). Table A13: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 2 3 5 Capabilities of Target and Allies Compared - -1.28** -1.29** to Challenger plus Target plus Allies (0.23) (0.24) Similarity in Alliance Portfolios -0.71** -1.47** -1.50** between Target and Allies (0.05) (0.23) (0.23) Interaction between Capability and - 0.82** 0.84** Similarity in Alliance Portfolios (0.26) (0.26) Level of Peacetime Military Coordination - - -0.04* in Target s Alliance (0.02) Potential Challenger Has 0.24** 0.16** 0.17** a Relevant Offensive Alliance (0.04) (0.04) (0.04) Potential Challenger Has 0.40** 0.32** 0.32** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.41** -0.40** -0.40** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.52** -0.46** -0.46** between Challenger and Target (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.04-0.03-0.03 (0.04) (0.04) (0.04) Constant 1.63** 2.73** 2.80** (0.11) (0.23) (0.24) Observations 585,432 585,432 572,178 13

Table A14 reports the results of our analysis when we use the calculation of S using UN voting data. We follow the procedure described by Häge (2011: 299-300) using absolute distances (page 20 and 26). Table A14: Probit Analysis of Dispute Initiation 1946-2000 Model Model Model 2 3 5 Capabilities of Target and Allies Compared - -0.79** -0.78** to Challenger plus Target plus Allies (0.16) (0.17) Similarity in Alliance Portfolios -0.36** -0.72** -0.64** between Target and Allies (0.05) (0.20) (0.21) Interaction between Capability and - 0.35 0.26 Similarity in Alliance Portfolios (0.22) (0.23) Level of Peacetime Military Coordination - - -0.07** in Target s Alliance (0.02) Potential Challenger Has -0.01-0.09-0.09 a Relevant Offensive Alliance (0.06) (0.06) (0.06) Potential Challenger Has 0.43** 0.37** 0.37** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.52** -0.52** -0.51** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -1.05** -1.00** -0.95** between Challenger and Target (0.07) (0.07) (0.07) Challenger-Target Joint Democracy -0.01-0.01-0.01 (0.04) (0.04) (0.04) Constant 2.50** 3.22** 2.94** (0.14) (0.20) (0.22) Observations 519,684 519,684 507,354 14

Table A15 reports the results of our analysis when we use the foreign policy similarity measure of Häge (2011: 299), calculated by Cohen s κ formula with squared distances and valued alliance data (page 20 and 26). Table A15: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model 2 3 5 Capabilities of Target and Allies Compared - -0.52** -0.50** to Challenger plus Target plus Allies (0.09) (0.01) Similarity in Alliance Portfolios -0.29** -0.34** -0.29** between Target and Allies (0.03) (0.10) (0.10) Interaction between Capability and - 0.08 0.02 Similarity in Alliance Portfolios (0.12) (0.12) Level of Peacetime Military Coordination - - -0.00 in Target s Alliance (0.02) Potential Challenger Has 0.25** 0.20** 0.20** a Relevant Offensive Alliance (0.04) (0.04) (0.04) Potential Challenger Has 0.40** 0.34** 0.34** a Relevant Neutrality Pact (0.04) (0.04) (0.04) Challenger-Target Distance -0.41** -0.41** -0.40** (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.61** -0.56** -0.55** between Challenger and Target (0.05) (0.05) (0.06) Challenger-Target Joint Democracy -0.05-0.04-0.04 (0.04) (0.04) (0.04) Constant 1.33** 1.72** 1.65** (0.10) (0.13) (0.13) Observations 585,432 585,432 572,178 15

Table A16 reports the results of our analysis when we utilize the level of peacetime military coordination for the potential target s strongest single alliance (page 22). Table A16: Probit Analysis of Dispute Initiation 1816-2000 Model Model 4 5 Capabilities of Target and Allies Compared - -1.44** to Challenger plus Target plus Allies (0.25) Similarity in Alliance Portfolios - -1.71** between Target and Allies (0.24) Interaction between Capability and - 1.03** Similarity in Alliance Portfolios (0.27) Level of Peacetime Military Coordination -0.09** -0.09** in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.28** 0.18** a Relevant Offensive Alliance (0.04) (0.04) Potential Challenger Has 0.41** 0.33** a Relevant Neutrality Pact (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** (0.01) (0.01) Similarity in Alliance Portfolios -0.52** -0.47** between Challenger and Target (0.05) (0.05) Challenger-Target Joint Democracy -0.03-0.02 (0.04) (0.04) Constant 1.08** 3.00** (0.10) (0.24) Observations 572,172 572,172 16

Table A17a reports the results of our analysis when we treat the level of peacetime military coordination variable as a factor variable. The level 1, the lowest level of peacetime military coordination, is the baseline (footnote 21). Table A17a: Probit Analysis of Dispute Initiation 1816-2000 Model Model 4 5 Capabilities of Target and Allies Compared - -1.43** to Challenger plus Target plus Allies (0.25) Similarity in Alliance Portfolios - -1.50** between Target and Allies (0.24) Interaction between Capability and - 0.97** Similarity in Alliance Portfolios (0.27) Level of Peacetime Military Coordination -0.35** -0.25** in Target s Alliance: Level 2 (0.04) (0.04) Level of Peacetime Military Coordination -0.22** -0.15** in Target s Alliance: Level 3 (0.03) (0.03) Potential Challenger Has 0.25** 0.16** a Relevant Offensive Alliance (0.04) (0.04) Potential Challenger Has 0.40** 0.32** a Relevant Neutrality Pact (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** (0.01) (0.01) Similarity in Alliance Portfolios -0.57** -0.49** between Challenger and Target (0.05) (0.05) Challenger-Target Joint Democracy -0.07-0.06 (0.04) (0.04) Constant 1.26** 2.93** (0.10) (0.24) Observations 572,178 572,178 17

Table A17b reports the predicted probability of dispute initiation with 95% confidence intervals for different levels of the peacetime military coordination variable. The predicted probabilities were generated using Clarify (King, Tomz, and Wittenberg 2000) while holding all other continuous variables at their means and dichotomous variables at their modes. The predicted probabilities are based on the results in column 2 of Table A17a (Model 5). The column 1 of Table A17b shows the mean value of the predicted probabilities, and column 2 shows the 95% confidence intervals (footnote 21). Table A17b: Predicted Probabilities of Dispute Initiation Level of Peacetime Military Coordination in Target s alliance: Level 1 (low) Level of Peacetime Military Coordination in Target s alliance: Level 2 (moderate) Level of Peacetime Military Coordination in Target s alliance: Level 3 (high) Mean 95% Value Confidence Intervals 0.00110 [0.00089, 0.00133] 0.00046 [0.00039, 0.00055] 0.00064 [0.00055, 0.00075] 18

Table A18a reports the results of our analysis when we use the interaction term and when we do not use the interaction term. The Akaike information criterion (AIC) indicates that the model with the interaction term outperforms the model without the interaction term. In other words, the smaller value of the AIC of the interaction model suggests that adding the interaction term improves the goodness of fit while overfitting due to the addition of the interaction term is of less concern (footnote 25). Table A18a: Probit Analysis of Dispute Initiation 1816-2000 without with interact interact Capabilities of Target and Allies Compared -0.54** -1.39** to Challenger plus Target plus Allies (0.05) (0.24) Similarity in Alliance Portfolios -0.77** -1.60** between Target and Allies (0.05) (0.24) Interaction between Capability and - 0.95** Similarity in Alliance Portfolios (0.27) Potential Challenger Has 0.18** 0.17** a Relevant Offensive Alliance (0.04) (0.04) Potential Challenger Has 0.32** 0.32** a Relevant Neutrality Pact (0.04) (0.04) Challenger-Target Distance -0.40** -0.40** (0.01) (0.01) Similarity in Alliance Portfolios -0.47** -0.46** between Challenger and Target (0.05) (0.05) Challenger-Target Joint Democracy -0.03-0.03 (0.04) (0.04) Constant 2.11** 2.84** (0.11) (0.23) Observations 585,432 585,432 Akaike Information Criterion 12962.8 12952.5 19

Table A18b reports first and second differences in predicted probabilities for changes in our capability and credibility measures when we include the interaction term (Table 1, Model 3). The percentage changes of these first differences are reported on pages 25 and 26. The statistical significance of second differences suggests that the change in first differences at different levels of the other variable is substantially meaningful, meaning that one is significantly different from the other (footnote 27). Table A18b: First and Second Differences in Predicted Probabilities First differences Second differences First and second differences with regards to capability Probability of winning changing from.74 to.91 when the average S-score is.76-0.0004 [-0.0005, -0.0003] 0.0003 (1) Probability of winning changing from.74 to.91 When the average S-score is 1-0.0001 [-0.0002, -0.0001] First and second differences with regards to credibility An average S-score changing from.76 to.91-0.0005 when the probability of winning is.74 [-0.0005, -0.0004] An average S-score changing from.76 to.91 when the probability of winning is.99-0.0002 [-0.0003, -0.0002] [0.0002, 0.0003] 0.0002 (2) [0.0002, 0.0003] One could argue that the evidence of the interaction in Table A18b is attributable to compression instead of variable-specific interaction (Berry, DeMeritt, and Esarey 2010: 254). Table A18c reports first and second differences in predicted probabilities when we do not include the interaction term (Table A18a, column 1). The statistical significance of second differences in Table A18c suggests that compression is present in our model. However, the larger second differences in Table A18b and the statistical significance of the difference between (1) and (3) and the difference between (2) and (4) indicate that the interaction could not be attributed solely to compression from the probit specification (footnote 27). Table A18c: First and Second Differences in Predicted Probabilities First differences Second differences First and second differences with regards to capability Probability of winning changing from.74 to.91 when the average S-score is.76-0.0003 [-0.0004, -0.0002] 0.0001 (3) Probability of winning changing from.74 to.91 When the average S-score is 1-0.0002 [-0.0002, -0.0001] First and second differences with regards to credibility An average S-score changing from.76 to.91-0.0004 when the probability of winning is.74 [-0.0004, -0.0003] An average S-score changing from.76 to.91 when the probability of winning is.99-0.0002 [-0.0003, -0.0002] [0.0001, 0.0002] 0.0001 (4) [0.0001, 0.0002] 20

Table A19 reports the results of our analysis when we use a lower threshold for joint democracy (5 or higher on the Polity2 variable) (page 27). Table A19: Probit Analysis of Dispute Initiation 1816-2000 Model Model Model Model Model 1 2 3 4 5 Capabilities of Target and Allies Compared -0.49** - -1.39** - -1.40** to Challenger plus Target plus Allies (0.05) (0.24) (0.24) Similarity in Alliance Portfolios - -0.73** -1.60** - -1.62** between Target and Allies (0.05) (0.24) (0.24) Interaction between Capability and - - 0.94** - 0.95** Similarity in Alliance Portfolios (0.27) (0.27) Level of Peacetime Military Coordination - - - -0.04* -0.03 in Target s Alliance (0.02) (0.02) Potential Challenger Has 0.20** 0.24** 0.16** 0.27** 0.17** a Relevant Offensive Alliance (0.04) (0.04) (0.04) (0.04) (0.04) Potential Challenger Has 0.34** 0.40** 0.32** 0.41** 0.32** a Relevant Neutrality Pact (0.04) (0.04) (0.04) (0.04) (0.04) Challenger-Target Distance -0.40** -0.41** -0.40** -0.40** -0.40** (0.01) (0.01) (0.01) (0.01) (0.01) Similarity in Alliance Portfolios -0.46** -0.52** -0.46** -0.51** -0.46** between Challenger and Target (0.05) (0.05) (0.05) (0.05) (0.05) Challenger-Target Joint Democracy -0.07* -0.08* -0.07* -0.08* -0.07 (0.04) (0.04) (0.04) (0.04) (0.04) Constant 1.38** 1.66** 2.84** 1.04** 2.89** (0.10) (0.11) (0.23) (0.11) (0.24) Observations 585,432 585,432 585,432 572,178 572,178 21

Figure A1: Predicted Probabilities of Dispute Initiation Figure Notes: This figure shows the predicted probability of dispute initiation with 95% confidence intervals for different values of our main independent variables. The predicted probabilities were generated using Clarify (King, Tomz, and Wittenberg 2000) while holding all other continuous variables at their means and dichotomous variables at their modes. The top left panel and the top right panel are based on the results in column 1 of Table A18. The results in the bottom two panels are based on the results in column 3 of Table 1 (equivalent to column 2 of Table A18). In each case, one variable from the interaction term is held first at one standard deviation below its mean and then one standard deviation above its mean (footnote 25). 22

Figure A2: Predicted Probabilities of Dispute Initiation (3D) Figure Notes: This figure shows the predicted probability of dispute initiation for different values of our main independent variables. The surface colored in light green (no grid on the surface) reports the predicted probability of dispute initiation based on the results in column 1 of Table A18 (without the interaction term). The surface colored in blue (grid on the surface) reports the predicted probability of dispute initiation based on the results in column 3 of Table 1 (equivalent to column 2 of Table A18) (footnote 26). 23

Works Cited Berry, William D., Jacqueline H. R. DeMeritt, Justin Esarey. 2010. Testing for Interaction in Binary Logit and Probit Models: Is a Product Term Essential? American Journal of Political Science 54 (1): 248-266. Bueno de Mesquita, Bruce. 1981. The War Trap. New Haven: Yale University Press. Häge, Frank M. 2011. Choice or Circumstance? Adjusting Measures of Foreign Policy Similarity for Chance Agreement. Political Analysis 19: 287-305. King, Gary, Michael Tomz, and Jason Wittenberg. 2000. Making the Most of Statistical Analyses: Improving Interpretation and Presentation. American Journal of Political Science 44 (2): 347-61. 24