Replication Data for: Measuring Arms: Introducing the Global Military Spending Dataset (doi:10.7910/DVN/RKJAKJ)

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Document Description

Citation

Title:

Replication Data for: Measuring Arms: Introducing the Global Military Spending Dataset

Identification Number:

doi:10.7910/DVN/RKJAKJ

Distributor:

Harvard Dataverse

Date of Distribution:

2024-01-30

Version:

1

Bibliographic Citation:

Miriam Barnum; Christopher J. Fariss; Jonathan N. Markowitz; Gaea Morales, 2024, "Replication Data for: Measuring Arms: Introducing the Global Military Spending Dataset", https://doi.org/10.7910/DVN/RKJAKJ, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication Data for: Measuring Arms: Introducing the Global Military Spending Dataset

Identification Number:

doi:10.7910/DVN/RKJAKJ

Authoring Entity:

Miriam Barnum (Purdue University)

Christopher J. Fariss (University of Michigan)

Jonathan N. Markowitz (University of Southern California)

Gaea Morales (University of Southern California)

Distributor:

Harvard Dataverse

Access Authority:

Fariss, Christopher

Depositor:

Fariss, Christopher

Date of Deposit:

2024-01-30

Holdings Information:

https://doi.org/10.7910/DVN/RKJAKJ

Study Scope

Keywords:

Social Sciences

Abstract:

Agreement between observed country-year-variable values (orange boxes) and the posterior predicted point estimates for which the observed value is observed (light grey boxes). Dark grey boxes show the distribution for the full range of the posterior predicted point estimates (including estimates for which the original value is missing). Across all variables, these estimated values have a lower median value due to a bias in the missingness in the original data. We have more missing observations in earlier years, for which population levels are lower than in later years in the series. Conveniently for users, the posterior predicted values are estimated using the original unit-of-measurement. This means that the visual discrepancy is not an empirical discrepancy. It is simply the difference in the unit-of-measurement used for the observed dataset values (e.g., thousands of dollars units).

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Barnum, Miriam, Christopher J. Fariss, Jonathan N. Markowitz, and Gaea Patrice Morales. “Measuring Arms: Introducing the Global Military Spending Dataset” Journal of Conflict Resolution (Forthcoming).

Bibliographic Citation:

Barnum, Miriam, Christopher J. Fariss, Jonathan N. Markowitz, and Gaea Patrice Morales. “Measuring Arms: Introducing the Global Military Spending Dataset” Journal of Conflict Resolution (Forthcoming).

Other Study-Related Materials

Label:

milex_determinants_appendix_JCR_01242024.pdf

Text:

Supplementary Appendix

Notes:

application/pdf

Other Study-Related Materials

Label:

milex_determinants_manuscript_JCR_01242024.pdf

Text:

pre print of manuscript

Notes:

application/pdf

Other Study-Related Materials

Label:

Replication-Arming.zip

Text:

replication files

Notes:

application/zip