Online Appendix Johann Park and Valentina Bali. “International Terrorism and the Political Survival of Leaders.” Journal of Conflict Resolution Table 1. Descriptive Statistics for the Dependent and Independent Variables, 1968-2004. Variable Leader Exit Terrorism (unlogged) Terrorism Fatal (unlogged) Fatal Non-Fatal (unlogged) Non-fatal Sanction War Involvement War Win War Loss War Draw Civil War Wealth (unlogged) Wealth Growth Capability Parliamentary Non-parliamentary Age Office Year (unlogged) Office Year Spline1 Spline2 Spline3 Spline4
mean
std.
min.
max.
0.144
0.351
0
1
2.309 0.579 0.404 0.189 1.905 0.496
7.182 0.884 1.324 0.442 6.462 0.826
0 0 0 0 0 0
181 5.204 25 3.258 177 5.182
0.225 0.013 0.006 0.005 0.006 0.109
0.418 0.115 0.077 0.068 0.077 0.312
0 0 0 0 0 0
1 1 1 1 1 1
6999.1 8.247 1.769 0.007 0.177 0.200
8085.2 1.144 8.084 0.020 0.382 0.400
170.6 5.139 -68.937 0.000016 0 0
84408.2 11.34 151.0 0.204 1 1
57.03 7.705 1.819 -2643.8 -297.9 -777.5
11.40 7.776 0.826 7721.7 575.5 1595.2
18 0 0 -91125 -4580.9 -12956.8
91 45 3.829 0 0 0
-1131.9
2447.0
-20324.6
0
5005
Observations
1
Table 2. Descriptive Statistics for Transnational Terrorism by Countries, ITERATE 1968-2004. The annual minimum number for terror attacks is 0 for all countries. Country Year Fatal Attacks start end mean std. max. Afghanistan 1968 2004 1.222 2.38 9
Non-fatal Attacks mean std. max. 0.75 1.442 5
Albania Algeria Angola Argentina Armenia Australia
1968 1968 1976 1968 1992 1968
2004 2004 2004 2004 2004 2004
0.056 1.444 1.286 1.167 0.538 0.081
0.232 4.687 1.922 3.376 0.877 0.277
1 25 6 19 3 1
0.25 0.861 1.429 7.556 0.923 1.135
0.77 1.659 1.665 11.893 0.862 1.378
4 7 6 42 2 5
Austria Azerbaijan Bahrain Bangladesh Belarus Belgium
1968 1992 1972 1972 1992 1968
2004 2004 2004 2004 2004 2004
0.351 0 0.188 0 2.154 0.459
0.676 0 0.644 0 2.996 0.73
2 0 3 0 9 3
2.108 0 0.406 0 1 2.919
1.868 0 1.775 0 1.291 3.386
8 0 10 0 4 13
Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Bulgaria
1968 1971 1968 1993
2004 2004 2004 2004
0 0 0.229 0.182
0 0 0.547 0.405
0 0 2 1
0 0 1.943 0.545
0 0 4.277 0.934
0 0 25 3
1968 1968 1968
2004 2004 2004
0.139 0.333 0.027
0.351 0.717 0.164
1 3 1
0.056 1.75 0.108
0.333 2.634 0.393
2 10 2
Burkina Faso Burundi Cambodia Cameroon Canada Central African Republic Chad
1968 1968 1968 1968 1968 1968
2004 2004 2004 2004 2004 2004
0 0.378 1.194 0.028 0.216 0.028
0 1.063 3.552 0.167 0.584 0.167
0 6 21 1 3 1
0.054 0.189 1.694 0.056 1.108 0.056
0.229 0.462 4.597 0.232 1.308 0.232
1 2 20 1 5 1
1968
2004
0.189
0.462
2
0.108
0.315
1
Chile China Colombia Comoros Congo Costa Rica
1968 1968 1968 1976 1968 1968
2004 2004 2004 2004 2004 2004
0.108 0.086 1.595 0 0.162 0.027
0.315 0.284 1.589 0 0.442 0.164
1 1 6 0 2 1
4.135 0.457 10.946 0 0.081 1.676
6.325 1.738 15.955 0 0.277 2.174
24 10 99 0 1 9
Cote d'Ivoire Croatia Cuba Cyprus
1968 1992 1968 1968
2004 2004 2004 2004
0.056 0 0.135 0.472
0.232 0 0.347 1.028
1 0 1 4
0.139 0 0.486 3.139
0.351 0 0.989 4.746
1 0 4 22
2
Country
Year
Fatal Attacks mean std.
start
end
Democratic Republic of Congo Denmark Djibouti Dominican Republic East Timor
1968
2004
0
0
0
0
0
0
1968 1978 1968
2004 2004 2004
0.054 0.074 0.081
0.229 0.267 0.277
1 1 1
0.973 0.111 0.703
1.481 0.32 1.714
6 1 8
2003
2004
0
0
0
0
0
0
Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia
1968 1968 1968 1969
2004 2004 2004 2004
0.167 0.833 1.135 0
0.378 1.183 1.813 0
1 4 7 0
1.222 3.75 4.027 0
1.742 4.976 6.788 0
6 19 32 0
1994 1992 1968
2004 2004 2004
0.091 0.154 0.784
0.302 0.555 1.336
1 2 6
0.182 0.385 1.486
0.405 0.65 1.835
1 2 8
Fiji Finland France Gabon Gambia Georgia
1971 1968 1968 1968 1968 1992
2004 2004 2004 2004 2004 2004
0 0 2.806 0.027 0 0.154
0 0 2.965 0.164 0 0.555
0 0 10 1 0 2
0.147 0 13.694 0.108 0 0
0.702 0 13.858 0.516 0 0
4 0 42 3 0 0
German Democratic Republic Germany Ghana Greece Guatemala
1968
1989
0.045
0.213
1
0.227
0.528
2
1968 1968 1968 1968
2004 2004 2004 2004
1.514 0.027 1.222 1.378
2.063 0.164 1.29 2.086
9 1 4 10
16.405 0.081 10.111 3.568
28.884 0.277 8.808 3.983
177 1 30 13
Guinea Guinea-Bissau Guyana Haiti Honduras Hungary
Aug 13, 2013 - Online Appendix Figures 3a-4e present further evidence from the survey .... Control variables include age, gender, occupation, education, and ...
Power Capital Variables adds up all ranking positions by terms (excluding the above top 4 positions). 2 ever held by native officials connected to a commune (in.
Aug 13, 2013 - Online Appendix Figures 3a-4e present further evidence from the survey responses on the .... Notes: Data from a survey of 70 individuals in 9 villages. ...... You will stay in the assigned room for 20 minutes listening to a.
Length of business registration in days. 2. Land access sub-score ..... Trends. Province trends. Cluster. Commune. Commune. Commune. Commune. Province.
May 22, 2015 - Real estate and business services. Construction ... Wages to skilled (log). 0. 5. 10. 15. 20 year ... All unskilled workers (log). 2000. 2002. 2004.
âDepartment of Decision Sciences and IGIER, Bocconi University, email: [email protected]. â Department of Economics and IGIER, Bocconi University, email: [email protected]. 1 ...... S1.37.11: I believe the intermediary or online
where A is aggregate productivity and Li is labor input. I assume that labor is perfectly mobile across firms. Relative demands for each firm are,. Yi(t) = (Pi(t). P(t). )âθ. Y (t). where Pi is the nominal price of variety i, P is the aggregate pr
Aug 1, 2017 - In state (β,β) with largest demand, the required aggregate investment is β(α/R)1/(1âα), which is exactly feasible by adding the aggregate wealth ...
The optimal control problem (B.3) of the leader is therefore equivalent to max. 0â¤Gtâ¤G / â. 0 eâptR(qt)dt where. R(qt) = Waqt + câ ua â (ua + ub)qt. 1 + âλ â qt.
Nov 28, 2016 - Lemma. Consider a symmetric setting with k group members that all assign weight γ â [1 k ,1] to their own identity and equal weight (1 â γ)/(k â 1) to each of the k â 1 other members. Consider any pair of group members i, j s
Figure 1 shows how the calibration of the persistence parameter of the natural real ... Figure 1: The role of the persistence of the natural rate shock in the simple ...
Online Appendix ...... that, outside of this class, the more discerning and accuracy orders are ...... Mathematical Statistics and Probability, pages 93â102, 1951.
(Online Appendix). By Filipe R. Campante and Quoc-Anh Do. This appendix contains two parts: first, the Data Appendix de- scribes the variables and sources used ... (uniformly) ârandomâ deviations do not change the rankings of distributions as ...
to small perturbations of preferences and technologies. Indeed, this equilibrium would break if population 1 earned slightly higher salaries, needed slightly smaller land plots, ..... Figure 6 plots the locus of. (D.7) in the space (E,P) (see solid c
May 15, 2015 - revenues comes from online orders in year t. Share of ... Share of the total wage bill paid to workers with a college ...... No telecom No computer ..... Table IV), we calculate the first term on the right hand side: the proportional.
We split household wage and business income in two unequal parts, awarding ..... Not. Rates,â https://www.trulia.com/blog/trends/rent-vs-buy-oct-2016/ 2016.
Dec 6, 2017 - that acquired other stores, whereas. âOtherâ denotes chains in mark ets with mergers that did not participate in the merger. All sp ecifications include a con stan t and store and time. (quarter) fixed effects. Columns. 5 to. 8 also
Notice first that solving program (5), we obtain the following optimal choice of investment by the ... 1âα . Plugging this express into the marginal contribution function r (m) = Ï Î± ...... Year started .... (2002), we obtained a master-list of
As pointed out in the main text, we can express program (7) as a standard calculus of variation problem where the firm chooses the real-value function v that ...
Online Appendix to. Zipf's Law for Chinese Cities: Rolling Sample ... Handbook of Regional and Urban Economics, eds. V. Henderson, J.F. Thisse, 4:2341-78.
