Thursday, January 28, 2016

Figures from the book, Grand Collusion


Grand Collusion

 

How the two parties collude to divide the spoils of governing, corrupting democracy and American capitalism.

 

By James E. Staudt


 

 Because of the poor image quality on some ebook readers this provides figures from the book available from Amazon as a Kindle ebook

 

 

This book is published directly by the author and is distributed only as an ebook

 

 

 

© Copyright, James E. Staudt, 2016 all rights reserved

 

All rights reserved.  None of these figures or tables may be reproduced in any form or by any means – electronic or otherwise –

without the express, written permission of the author.


 

 

Figure 1. Total House and Senate Election Spending, current dollars

(data source: Campaign Finance Institute)

 
 

Figure 2.  Congressional districts in the Houston area.

 

 

Figure 3.  Congressional Districts in Texas


 

Figure 4.  Federal Receipts and Outlays, and the party of the President

Data from US Treasury

 

Figure 5.  Marginal Tax Rates, Capital Gains and Wages (data from US Treasury)

 

Figure 6.  Receipts and Outlays, and Cumulative Federal Debt Outstanding – nominal values (data: US Treasury)

 

Figure 7.  Federal Outlays (million current dollars - data from US Treasury)

 

Figure 8.  Human Services Outlays (million current dollars - data from US Treasury)

 

Figure 9. The Largest Outlays (million current dollars, data from US Treasury)

 

Figure 10.  Inflation and Fed Funds rate by year

(periods of war or military buildup in red, depressions or recessions in blue, oil embargo in yellow)


 

Figure 11a

. Household, Federal, and Domestic Financial New Credit Market Annual Borrowing and Fed Funds Rate

(developed from US Federal Reserve)  recession periods in yellow shade

 

Figure 11b

Domestic Financial New Credit Market Annual Borrowing

(developed from US Federal Reserve)  recession periods in yellow shade


 

Figure 12a.  US Credit Market Debt Owed and by Whom, percent of GDP

(developed from US Federal Reserve)
 
 
 

Figure 12b.  Who Holds US Credit Market Assets – percent of GDP

(developed from US Federal Reserve)


 
 

Figure 13.  Growth rate of CPI adjusted wages (calculated from US Census data)


Figure 14a.  10-year US Treasury rate, change in rate
 


Figure 14b.  Federal Deficit
 


Figure 15a.  Change in GDP versus Capital Gains Tax Rate (1947-2012)
 

 



Figure 15b.  Change in GDP versus Capital Gains Tax Rate (1945-2012)

 

Figure 16a.  Change in GDP versus Highest Income Tax Rate (1947-2012)


 

Figure 16b.  Change in GDP versus Highest Income Tax Rate (1945-2012)

 

Figure 17.  The Dow Jones Industrial Average January 1900 to March 2015


 

Table 1.  GINI Index (World Bank)
Country name
Most recent of 2005-2013
Ukraine
24.8
Slovenia
24.9
Sweden
26.1
Iceland
26.3
Czech Republic
26.4
Belarus
26.5
Slovak Republic
26.6
Norway
26.8
Denmark
26.9
Romania
27.3
Finland
27.8
Kazakhstan
28.6
Hungary
28.9
Netherlands
28.9
Albania
29
Iraq
29.5
Pakistan
29.6
Serbia
29.7
Armenia
30.3
Timor-Leste
30.4
Germany
30.6
Moldova
30.6
Montenegro
30.6
Egypt, Arab Rep.
30.8
Tajikistan
30.8
Niger
31.2
France
31.7
Cambodia
31.8
Bangladesh
32.1
Ireland
32.1
Japan
32.1
Lithuania
32.6
Estonia
32.7
Nepal
32.8
Poland
32.8
Azerbaijan
33
Bosnia and Herzegovina
33
Mali
33
Burundi
33.3
Kyrgyz Republic
33.4
Croatia
33.6
Ethiopia
33.6
Canada
33.7
Guinea
33.7
Jordan
33.7
India
33.9
Sao Tome and Principe
33.9
Bulgaria
34.3
West Bank and Gaza
34.5
Greece
34.7
Sudan
35.3
Sierra Leone
35.4
Italy
35.5
Indonesia
35.6
Vietnam
35.6
Spain
35.8
Tunisia
35.8
Mauritius
35.9
Yemen, Rep.
35.9
Latvia
36
Lao PDR
36.2
Sri Lanka
36.4
Mongolia
36.5
Tanzania
37.8
United Kingdom
38
Liberia
38.2
Iran, Islamic Rep.
38.3
Bhutan
38.7
Thailand
39.4
Russian Federation
39.7
Burkina Faso
39.8
Turkey
40
Congo, Rep.
40.2
Senegal
40.3
Mauritania
40.5
Madagascar
40.6
Cameroon
40.7
Morocco
40.9
United States
41.1
Uruguay
41.3
Georgia
41.4
El Salvador
41.8
China
42.1
Gabon
42.2
Angola
42.7
Fiji
42.8
Ghana
42.8
Israel
42.8
Nigeria
43
Philippines
43
Cote d'Ivoire
43.2
Chad
43.3
Benin
43.5
Argentina
43.6
Cabo Verde
43.8
Macedonia, FYR
44.2
Congo, Dem. Rep.
44.4
Uganda
44.6
Venezuela, RB
44.8
Peru
45.3
Dominican Republic
45.7
Mozambique
45.7
Nicaragua
45.7
Togo
46
Malawi
46.2
Malaysia
46.2
Bolivia
46.6
Ecuador
46.6
Kenya
47.7
Paraguay
48
Mexico
48.1
Costa Rica
48.6
Chile
50.8
Rwanda
50.8
Swaziland
51.5
Panama
51.9
Guatemala
52.4
Brazil
52.7
Colombia
53.5
Lesotho
54.2
Central African Republic
56.3
Honduras
57.4
Zambia
57.5
Botswana
60.5
Namibia
61.3
South Africa
65
Seychelles
65.8
 
 

GINI index - Gini index measures the extent to which the distribution of income or consumption expenditure among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.  – World Bank

 
 
Figure 18.  Estimated Eligible Voter Turnout by State[55]
[55] Data from the United States Election Project

 



 

 

 


Jim Staudt makes a living from examining data and working with policymakers and industry primarily on energy and environmental policy.  In Grand Collusion he shares his analysis and insights on some of the disturbing trends in our political system, explains how we got to where we are, and makes suggestions about where we need to go from here.

 

For decades Jim worked in the energy and environmental industries and now consults to industry, to states and the federal government. He is a graduate of the United States Naval Academy and served in the Navy Nuclear program aboard the nuclear powered aircraft carrier USS Enterprise CVN-65.  He later received his MS and his PhD from the Massachusetts Institute of Technology and also holds the Chartered Financial Analyst (CFA) designation.

 

He lives with his wife and two children in the Boston area.

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