d Min Max N Major river 023 042 1 440 Ag constraints 541 106 294 892 440 Dist

D min max n major river 023 042 1 440 ag constraints

This preview shows page 36 - 40 out of 136 pages.

s.d. Min Max N Major river 0.23 0.42 0 1 440 Ag. constraints 5.41 1.06 2.94 8.92 440 Dist. coast 5.54 3.76 0 14.9 440 Elevation 728 520 -7.41 2,308 440 Malaria 0.83 0.27 0 1 440 Precipitation 1,194 528 32.4 2,954 440 Ruggedness 71,792 70,413 0 421,381 440 Temperature 8,882 1,112 5,295 10,699 440 Dist. L. Victoria 2,198 1,438 131 5,708 440 Date observed 1,919 21.6 1,830 1,960 440 Dist. Atlantic ST 6,688 1,515 3,671 9,949 440 Dist. Indian ST 4,546 1,589 1,028 7,953 440 Dist. Saharan ST 3,333 975 806 6,999 440 Dist. Red ST 2,887 1,360 107 5,773 440 Crop: Missing 0 0 0 0 440 Crop: None 0.025 0.16 0 1 440 Crop: Trees 0.084 0.28 0 1 440 Crop: Roots/tubers 0.19 0.39 0 1 440 Temperature s.d. 294 292 0 1,635 370 Area 2.43 3.64 8.2e-06 27.0 440 Pop. density 22.2 28.5 0 311 440 Ag. Constraints Range 4.66 1.95 0 9 440 Grain endemicity 0.35 0.25 0 0.76 425 Table 3. Summary Statistics Controls Other variables used
Image of page 36
(1) (2) (3) Ecological diversity 0.794*** 0.703*** 0.437** (0.266) (0.234) (0.219) Other controls No Yes Yes Region F.E. No No Yes 0 levels -0.259*** -0.220*** -0.132** (0.087) (0.069) (0.064) 1 level -0.022 -0.024 -0.016* (0.038) (0.029) (0.009) 2 levels 0.152*** 0.149*** 0.098** (0.052) (0.050) (0.048) 3 levels 0.118*** 0.091*** 0.048** (0.044) (0.034) (0.024) 4 levels 0.010 0.004 0.001 (0.008) (0.004) (0.002) Observations 440 440 440 Table 4. Main Results State centralization *** p<0.01, ** p<0.05, * p<0.1. Regressions estimated by ordered probit. Standard errors in parentheses clustered by region. Other controls are those listed as "controls" in the table of summary statistics. Marginal effects
Image of page 37
Dependent variable Coef s.e. N v81: Political autonomy 0.485 0.082 182 v82: Trend in political autonomy 0.395 0.069 182 v84: Higher political organization 0.400 0.071 181 v85: Executive 0.801 0.086 181 v89: Judiciary 0.261 0.022 181 v90: Police 0.889 0.080 178 v91: Administrative hierarchy 0.943 0.071 181 v700: State punishes crimes against persons 0.185 0.033 91 v701: Full-time bureaucrats 0.242 0.026 91 v702: Part of kingdom 0.136 0.029 86 v756: Political role specialization 1.220 0.167 89 v759: Leaders' perceived power 0.432 0.069 89 v760: Leaders' perceived capriciousness 0.240 0.097 66 v761: Leaders' unchecked power 0.385 0.076 85 v762: Inability to remove leaders 0.420 0.100 77 v763: Leaders' independence 0.426 0.070 86 v764: Leaders' control of decisions 0.584 0.136 87 v776: Formal sanctions and enforcement 0.412 0.068 89 v777: Enforcement specialists 0.461 0.076 88 v779: Loyalty to the wider society 0.228 0.104 83 v784: Taxation 0.536 0.069 84 v785: Rareness of political fission 0.154 0.102 64 v1132: Political integration 1.185 0.070 118 v1134: Despotism in dispute resolution 0.132 0.023 104 v1135: Jurisdictional perquisites 0.172 0.067 34 v1736: Tribute, Taxation, Expropriation 0.961 0.152 77 v1740: Levels of political hierarchy 1.600 0.196 100 v1741: Overarching jurisdiction 0.331 0.070 94 v1742: Selection of lower officials 0.524 0.061 95 Table 5. Regressions of alternative SCCS measures of states on state centralization Each row reports the estimated coefficient and standard error when the listed variable in the SCCS is regressed on state centralization and a constant (not reported). All results are significant at conventional levels. I have reversed the signs for variables 756, 759, 760, 761, 762, 763, 764, 765, 776, 777, 779, and 784, so that higher values correspond to greater state strength. I have re-labeled these variables to capture the positive re-coding, and have re-labeled some other variables so that their meaning is clearer. I have removed the missing values 0 and 8 from variable 1132, and converted variable 89 into a binary ``judiciary present'' measure, since the categories of judiciary were not clearly ordered.
Image of page 38
(1) (2) (3) Ecological diversity 0.252** 0.280** 0.207* (0.128) (0.128) (0.118) Dist. ecological divide -0.326*** -0.301*** -0.267*** (0.078) (0.071) (0.073) Any diversity 0.480*** 0.359** 0.225* (0.155) (0.142) (0.126) Ecological diversity (Simpler classes) 0.907*** 0.793** 0.557 (0.335) (0.311) (0.356) Eco. Div. (FAO) 0.967*** 0.999*** 0.540** (0.198) (0.282) (0.275) Other controls No Yes Yes Region F.E. No No
Image of page 39
Image of page 40

You've reached the end of your free preview.

Want to read all 136 pages?

  • Spring '17
  • JAMES FENSKE

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern

Stuck? We have tutors online 24/7 who can help you get unstuck.
A+ icon
Ask Expert Tutors You can ask You can ask ( soon) You can ask (will expire )
Answers in as fast as 15 minutes
A+ icon
Ask Expert Tutors