Blog Roll: The United Kingdom (1950-2000+)

 

After Leaving the European Union on on 31 January 2020 (Brexit), Britain's future remains murky. ChatGPT reports that:

ChatGPT also provides a number of background references for this conclusion:

• UK Economy returns to growth, but only just, as Reeves plans budget
• Bank of England Monetary Policy Report -- November 2025
• UK Inflation, OBR 2026 Forecasts
• IFS Economic Outlook for the UK: navigating narrow paths
• IMF: Bank of England Should be 'Very Cautious'

If you are interested in forming your own opinions about the Economy of the United Kingdom, here is a Blog Roll of results from various historical Systems models:

• Six Forecasts for the United Kingdom Some are stable, some are not.
• Technological Change in the United Kingdom Technical Productivity seems to be reaching a Steady State in the UK.
• Should Great Britain Have Exited the European Union? A Great Counterfactual!
• Is the UK Economy Heading for a Steady State? Maybe and maybe not!
• Hegemonic Dominance Not surprisingly, the UK is one of "also rans" in the battle for Hegemonic Dominance of the World System, but that is not necessarily a good thing.

The Economy of the United Kingdom in History:

• The UKL19D Model Collapsing Economy, unstable Export-Urban Population controller.
• The UKE20 Model During the Great Depression, the UK had doubly unstable Growth-Export and Export-Employment Controllers.
• The UKL19 Model During the Late 19th Century, the British economy was unstable and collapsing due to an unstable Urban-Export controller.
• The UK18 Model During the 18th Century, the British Economy was also unstable and collapsing due to an unstable Growth-Export Controller and an Unstable Export-Population Controller. Historically, the UK Economy was saved by the Industrial Revolution.
• The UK17 Model During the 17th Century, the British Economy had an unstable Growth-Exports controller and an unstable Malthusian-Export controller (Exports allowing the economy to growth exponentially.
• The UK16 Model During the 16th Century, the British Economy had an unstable Growth-Export controller and an unstable Urban-Population-Export controller, allowing the economy to growth exponentially.

Technology Long Waves

  

The Kondratiev Wave is an important element of World-Systems Theory. The graphic above is taken from Andreas Goldschmidt and gives historical specifics for technological cycles. Goldschmidt's formulation allows for the idea to be tested (one of the models I always test), is partially consistent with economic Growth theory (particularly if we do not assume a functional form for exogenous disembodied technological change in the Solow-Swan Model) and I can present some examples.

• The Iranian Economy prior to 1979 and associated Tech Bubble.

Back-of-the-envelope Calculations: Global Warming

In the introductory chapter of  The Demon Haunted World: Science as a candle in the Dark Carl Sagan writes:

It was from [G. P.] Kuiper that I first got a feeling for what is called a back-of--the-envelope calculation: A possible explanation to a problem occurs to you, you pull out an old envelope, appeal to your knowledge of fundamental physics, scribble a few approximate equations on the envelope, substitute in likely numerical values, and see if your answer comes anywhere near explaining your problem. If not, you look for a different explanation, It cut through nonsense like a knife through butter.

Given the controversies that are currently swirling around Climate change (the President of the United States has called it a "hoax"), it would be useful for the non-scientists to have a back-of-the-envelope calculation to "cut through nonsense". There is a simple equation, called the Kaya Identity that would be very useful to understand.

I first became aware of the Kaya Identity on one of the first IPCC reports. The Kaya Identity proves a back-of-the-envelope way to calculate global temperature increase, T, from population growth. The current IPPC report, AR15, doesn't mention it in the introduction but it should. AR15 claims that it is already too late to limit anthropogenic (human caused) climate change. It is  dire warning but how can the non-scientists check the assertion. Let's work through he Kaya identity slowly and see what the calculations tell us.

The first step in the causal chain is the effect of population growth, N,  on economic production, Q. The Kaya equation is Q = qN where q is output per capita. In the Kaya framework, q is called an intensive variable while N and Q are extensive variables.

Blog Roll: The World System (1950-2000+)

 

The World System, typically used by the IPCC to model Global Climate Change, means one system explaining environmental and economic trends of the World. The World-System (notice the hyphen), a term used by World-Systems Theory, refers to a "World of Systems" in which nation states and regions form hierarchical Geopolitical relationships.

Here are some postings I have done from the perspective of both the World System and the World-System:

• Global Temperature Projections Using the World System model, Global Temperature will peak below +1.5 degrees Centigrade. Using the Kaya Model, it will not (goodbye Polar Ice Caps).
• A More Conservative Peak Oil Forecast World Oil production, and the resulting CO2 emissions, might not collapse in 2040.
• Peak Oil and Global Warming Peak Oil Production, at some time in the Future, seems reasonable but "when" is hard to predict.
• World Population Collapse Both the UN and my WL20 model predict that World Population will start to collapse after 2050. If that really happens, there will be ripple effects throughout the Kaya Identity!
• A New Axis of Evil Looks scary but they might be no better at running the World-System than the US.
• Geopolitical Linkages: Canada, Mexico and the US The Trump II Administration is tinkering with a World-System that they do not understand.
• US Attempts to Dominate India In the long-run, it would lead to the collapse of India.
• World System Steady State and Collapse The only stable, steady state future for the World System is dominance by Europe. Right now, competition between the major Hegemonic contenders (the US, Russia and China) might not produce a steady-state Future.
• Hegemonic Dominance Forecasts Dominance of the World System by Russia would lead to (1) unending exponential growth and (2) a Dystopian Nightmare.
• Six Futures for the World System The best Future for the World System involves no Hegemonic Leader.
• US CO2 Forecasts Emissions are declining in the US but the best way to reinforce the trend is to let gasoline prices increase, a political non-starter.
• Coal will make Reducing Energy Intensity Difficult Reducing the mining and burning of coal will be difficult and the Trump II Administration is trying to "Greenwash" the problem by rebranding it "Clean Coal," which it isn't.
• EU Gives Up on Climate Regulation! Really? Backtracking might simply be an admission that EU countries are reaching a steady state.
• US CO2 Emission Reduction Unlikely as a result of COP17 Steady-state emissions are more likely rather than reductions.
• World Impact Forecasts More on Impact Models, if you are interested. Impact models do not have feedback effects but they are easy to calculate by hand and maybe feedback effects are weak in the World-System.
• How to Balance the World System Wait for Growth-and-Collapse.

Some of the State Space Dynamic Components models (see the Boiler Plate) for the period 1950-2000+ are available as R-code and can be run here.

Blog Roll: Argentina

 Wikipedia notes (here) that:

Argentina's economy has swung from one of the world's richest in the early 20th century to repeated cycles of boom, bust, and hyperinflation, driven by commodity dependence, political instability, and policy shifts.

The newest shock to the economy has come from president Javier Milei's  Economic Austerity policies which have, evidently, failed and required a $20 Bailout from the Trump II Administration. 

I have a systems model (ARL20) of the Argentine Economy which can be used to investigate (1) the Late 20th and early 21st century Economic History of Argentina and (2) alternative Geopolitical Futures for Argentina and the resulting economic impacts.

• Seven Futures for Argentina Alignment with the US produces Growth-and-Collapse.
• The Bubbly Economy of Argentina Not a pretty picture.
• Latin American Futures Emphasis on Business-as-usual and Technological change provide the most likely futures.

You can experiment yourself with the ARL20 BAU model here.

Blog Roll: European Union

 

Blog Roll: Venezuela

Venezuela is currently in the News because the US appears to be planning an invasion of the country. Wikipedia notes (here) that "With the turn of the 21st century, the Venezuelan economy has been in a state of total collapse since 2013."

Here are some background forecasts from my VEL20 model and a model of the Latin American Region: 

• Eight Growth forecasts for Venezuela Maybe not surprisingly, the best growth options involve no Geopolitical Alignments for the country. Alignment with the US is worse than a Random Walk.
• Inflation in Venezuela The best option to control inflation, maybe in this case surprisingly, is to increase Globalization.
• Venezuela Growth Forecast Without external interference (for example, a US invasion), the Venezuelan economy is predicted to reach a steady state after 2100.
• Latin American Futures Latin American has a somewhat different future from Venezuela, but Geopolitical Alignment with the Latin American region is another policy option for Venezuela.
• How will US Military Action affect the Economy of Venezuela? Not well!

Activities within Latin American and within the MAGA movement suggest that events in Venezuela and in the US are changing quickly and cannot be easily predicted. Hopefully, historical models and forecasts will make events that happen in the future somewhat more understandable.

 

Malthusian Crisis in Ethiopia?

 

Wasn't Malthus Wrong?

The PBS NewsHour is reporting (here) that "millions ... [in Ethiopia] ... still face the risk of starvation as a result of drought conditions", even though the Civil War ended in November, 2022. The last time Ethiopia faced famine was in 1984. Last March, the World Food Program and the USAID suspended food deliveries because grain was being stolen, sold on the black market and not getting to those in need.

Why should I even bother trying to apply a Malthusian model to Ethiopia (ETH) when Nobel Laureate William Nordhaus and most of the Economics profession argue that a Neoclassical General Equilibrium model (the DICE model) apples to every region of the World-System and, supposedly, to every country in the World-System. Critics will argue that I am just trying to push the conventional Malthusian policy conclusion: Ignore the poor and hungry because feeding them will just increase their birth rate and further increase population pressure.

World-Systems Theory (WST) has an answer to the question of what is the appropriate model to apply to a particular country: It depends on the country's place in the hierarchical structure of the World-System. Is it a Core, Semi-peripheral or Peripheral country? Core countries are mostly Capitalist, Semi-peripheral countries are Mixed with some elements of Capitalism and Peripheral countries are, I would argue, Malthusian-agricultural economies living on the edge of repeated food crisis and domination by core and semi-peripheral countries.* Most readers will understand what a Capitalist or Mixed economy is because they live in one. But what is a Malthusian economy?

Thomas Robert Malthus (1766-1834) was an English economist, cleric and scholar (political economy and demography). He predicted, controversially, that if population growth exceeded the productive capacity (carrying capacity) of the economy, a Malthusian Crisis would result, where "positive checks" such as famine, war, drought, immigration, etc. would reduce population pressure. Only "preventive checks" (birth control, delayed marriage, etc.) would prevent these catastrophes because population growth would, if uncontrolled, always exceed the productive capacity of the economy.

Famines have occurred periodically in the history of Ethiopia according to records dating to the 9th Century. To say why these famines happened and that they are definitely not the result of population pressure would be amazingly arrogant. And, to say that Neoclassical Economic Theory applies to all countries and to all recorded history would be equally arrogant. In fact, none of the modern models can be tested on Ethiopia because, aside from sparse World Bank data after WWII (the WDI or World Development Indicators), data is very weak for Ethiopia (although there is more data for regions in Africa but still not enough to test the regional DICE model).

Still, Karl Marx (1818-1883) called Malthus' population principle a "libel on the human race" and Malthus himself the "reverend scribbler." Indeed, "every schoolboy knows that Malthus was wrong" (Benjamin Higgins, 1968). Julian Simon (1932-1998) has argued that the World's carrying capacity is essentially unlimited. On the other hand, Jared Diamond has documented that the Rwanda Genocide was the result of population pressure. Why is Malthusian Theory so controversial and requires current analysts to keep writing Why Malthus Is Still Wrong. The continuing confusion involves failing to differentiate between the "Malthusian Model," the evidence supporting it, the "Malthusian Policy Recommendations" and the World-System. This particular Model-Evidence-Policy-System confusion, however, is true of every mental or formal model and is worth understanding for the well-documented and simple Malthusian Model.

The Malthusian Model (MM) is the model on which all other models are implicitly based (see Table I). Usually population growth is taken as exogenous because Capitalist economies can accommodate the demands of an expanding population. The original MM was simply two equations: a linear one for production growth, Q, and a geometric one for population growth, N. The equations didn't interact as a system** and when growth in N exceed Q, a Malthusian crisis was triggered. Kenneth Boulding put (Q,N) together in a system, with no assumptions about functional forms, and we have the modern version. The MM System model uses the state of the system S=(Q-N) as an Error-Correcting Controller (ECC); when (Q>N) population can expand (a feedback effect) and when (Q<N) population will contract through "positive checks".

Measuring Crisis

The MM Systems Model can be estimated for Ethiopia after WWII using the WDI to determine the state of the Malthusian Crisis. The first step is to estimate a measurement model using data we have from the WDI. N and Q are the most complete series and, luckily, form the basic Malthusian model.

 Measurement Matrix 

      N     Q

[1,]  0.707 0.707

[2,] -0.707 0.707

 Fraction of Variance 

[1] 0.958 1.000

The Measurement matrix can be estimated using Principal Components Analysis (PCA). The components will be used to form the approximate state variables of the Malthusian System. When estimated, the first component is overall growth (ETH1 = 0.707 N + 0.707 Q) and the second component, the Error Correcting Growth Controller (ETH2 = 0.707 Q - 0.707 N). Growth explains 96% of the variance and the ECC explains 4%.

The Figure above shows ETH1 (Growth) and ETH2 (The Malthusian ECC) plotted over time. ETH2 enters negative Malthusian-Criss territory around 1990 and starts recovering after 2010 (the 1983-1985 Famine was the worst in a Century and started the downward slide in the Malthusian Crisis). Overall growth (ETH1) although wiggling a little over time was not permanently affected.

Typically, commenting on historical time plots is as far as historical analysis gets, Malthusian or not. But I want to estimate a system model and try to understand how trends are causally related. 

Modeling Results

Modeling forces the question of "What is the System?" World Systems Theory (WST) provides a framework for answering the question. Ethiopia (ETH) is a country embedded with in a system of other countries. 

Discussion

NOTES

* My identification of Ethiopia as a Peripheral Country is a little casual and can be debated (see Babones, 2005). In studying the WDI, one indicator of Peripheral status is simply the lack of information in the data set. Semi-Peripheral and Core countries are fully populated with data.

** We might criticize Malthus for not inventing Systems Theory (a Twentieth Century discovery) and Marx came close recognizing that social systems are "over-determined" (Wolff and Resnick, 2006). You can read more Marx and Engels on the Population Bomb here. Unified Growth Theory puts all these various approaches together in one model starting with the MM at low levels of growth or stagnation (the Malthusian Trap) and ending with the Steady State Economy.

Appendix: ECC Models

Appendix: Systems Model

Models have a compact R-code in dse and can be run easily in Snippets. Note that the RUL20 model is only unstable in the feedback components $F[3,3] = 1.03$. If you stabilize the third feedback component (e.g.,$F[3,3] = 0.98$)  the entire system is stable. 

===========

merge.forecast <-

function (fx,n=1) {

#

# Merges a forecast with the output data

x <- splice(fx$pred,fx$forecast[[n]])

colnames(x) <- seriesNames(fx$data$output)

return(x)

}

#

#

# RUL20  Russia (1950-2000)

#

# Measurement Matrix 

#    EN.ATM.CO2E.KT EG.USE.COMM.KT.OE NY.GDP.MKTP.KD SL.TLF.TOTL.IN SP.POP.TOTL

#[1,]        0.28209            0.4060         0.3336         0.4343      0.3721

#[2,]       -0.43993           -0.2199        -0.1359         0.1328      0.2266

#[3,]        0.06433           -0.1446         0.5944         0.0494     -0.3944

#     SL.UEM.TOTL.ZS     HDI      EF    KOF

#[1,]         0.1893 0.43400  0.2348 0.1948

#[2,]         0.4971 0.03409 -0.3950 0.5161

#[3,]        -0.3374 0.22538 -0.4878 0.2470

#

 #Fraction of Variance 

#[1] 0.5489 0.8484 0.9677 0.9814 0.9921 0.9975 0.9988 0.9995 1.0000

require(dse)

require(matlab)

AIC <- function(model) {informationTestsCalculations(model)[3]}

f <- matrix( c( 0.976658001, 0.02127754,  0.2249071, 0.161990376,

                     -0.008392259, 0.97543675, -0.2319674, 0.001666581,

                     -0.005587383, 0.09718186,  1.0312754, 0.035854885,

                      0.000000000, 0.00000000,  0.0000000, 1.000000000

),byrow=TRUE,nrow=4,ncol=4)

h <- eye(3,4)

k <- f[1:4,1:3,drop=FALSE]

RUL20 <- SS(F=f,H=h,K=k,

z0=c(0.161990376, 0.001666581, 0.035854885, 1.00000000),

              output.names=c("RU1","RU2","RU3"))

stability(RUL20)

#tfplot(simulate(RUL20,sampleT=20))

shockDecomposition(toSSChol(RUL20))

RUL20.data <- simulate(RUL20,sampleT=50,start=1950,noise=matrix(0,50,3))

m <- l(RUL20,RUL20.data)

#tfplot(m)

AIC(m)

tfplot(RUL20.f <- forecast(m,horizon=50))

RUL20.fx <- merge.forecast(RUL20.f)

#    Models have a compact R-code in dse and can be run easily in Snippets. 

#    The RU20 must be run first to provide input for #ETH20.

#

# W20 ETH (Ethiopia) Russia Input

#

# Measurement Matrix 

#       N  Q

#[1,]  0.707 0.707

#[2,] -0.707 0.707

#

#Fraction of Variance 

#[1] 0.958 1.000

#

require(dse)

require(matlab)

AIC <- function(model) {informationTestsCalculations(model)[3]}

f <- matrix( c(  1.04647269, -0.1059723, 0.10155553,

                        0.01918655,  0.9306230, 0.01335861,

                  0.000000000,  0.00000000,  1.00000000

),byrow=TRUE,nrow=3,ncol=3)

g <- matrix(c(-0.003819938, -0.01406381, 0.009235749,

                     -0.010773904, -0.01627134, 0.017135870,

                      0.000000000 , 0.00000000, 0.000000000

),byrow=TRUE,nrow=3,ncol=3)                      

h <- eye(2,3)

k <- f[1:3,1:2,drop=FALSE]

ETH20 <- SS(F=f,H=h,K=k,z0=c(0.11991149, 0.04457381, 1.00000000),

              output.names=c("Growth","(Q-N)"))

stability(ETH20)

shockDecomposition(toSSChol(ETH20))

ETH20.data <- simulate(ETH20,sampleT=50,start=1950,noise=matrix(0,50,2))

m <- l(ETH20,ETH20.data)

#tfplot(m)

AIC(m)

tfplot(forecast(m,horizon=50))

ETH20x <- SS(F=f,H=h,K=k,G=g,z0=c(0.11991149, 0.04457381, 1.00000000),

              output.names=c("Growth","(Q-N)"))

ETH20x

data <- TSdata(output=outputData(ETH20.data),input=RUL20.fx)

m <- l(ETH20x,data)

#tfplot(m)

AIC(m)

shockDecomposition(m)

tfplot(forecast(m,horizon=50,conditioning.inputs=RUL20.fx))

Blog Roll: Colombia

 

Posts

• Unstable cycles in Colombia
• Colombia's Globalization Bubble
• Six Futures for Colombia
• How Does the Economy of Colombia Work?

Blog Roll: France

 

The French government has collapsed again "less than 24 hours after its formation" (here). It seems like a good time to look back at what I have found about the French Economy:

• How is the French Labor Market Controlled? The role of World Markets for Agriculture and Oil.
• Has Austerity Helped or Hurt the French Economy? It's complicated but leads to a lot of Protest.
• Breaking Cycles of Austerity in France Find some way other than Austerity to control the Economy.
• La French TECH Cycles unlike Schumpeter's Creative Destruction cycles are stable.
• French Debt, Collapse of the Government and COVID-19 The lingering effects of the COVID shock are still with us and the French government is still preoccupied with Random Walk components rather than controlling the overall Economy.
• Six Futures for France A Steady State Economy or Growth-and-Collapse will not be accepted without Protest.
• World System: Steady State or Collapse The World System itself may be moving toward a Steady State Economy.
• How Does the Economy of France Work? The main controllers of the French Economy are not Austerity and Neoliberalism but rather the Environment and Unemployment.
• France in the Long Sixteenth Century Geopolitical Linkages between France and England have always been important historically.
• France (1450-1540) The Balance of Power System (Spain, France and England) began failing during this period.

There is certainly a lot more to learn about the French economy. The important conclusion, at this point in my research, is that France might be heading toward a Steady State Economy which will lead to a period of World-System Chaos before government's learn to deal with the end of growth or Environmental Collapse or are able to discover new growth technologies through Schumpeter's Creative Destruction.

Blog Roll: Ukraine

 The Russo-Ukrainian War began in 2014 and is still ongoing without any clear sign of resolution. What the Russian Invasion will mean for the Ukrainian Economy is not clear but it has been a sever shock to the system. On this page, I will list what I have learned so far about the  Ukrainian Economy and Russian Economy in the hopes of understanding what might happen in the future. I will continue to update this page as I learn more.

• Seven Futures for Ukraine The UAL20 BAU model with different inputs suggests that there are not many desirable attractor paths for Ukraine. Most attract paths are worse than a Random Walk, with only the Business-as-Usual (BAU) model and linking to the  Russian Economy being better.
• Five Futures for Russia Interestingly enough, the best future for Russia is linkage with the European Union! Google AI reports:
  
  
  
  
  
• Is the EU Heading for a Steady State? From the standpoint of conventional Neoclassical Economic Growth analysis, future prospects for the EU don't look that good either. The EU may become a Steady State Economy. From the standpoint of continued Environmental damage, this might be a good thing. From the standpoint of growth-obsessed Russia, it would be unattractive.

My objective at this point (since the future us unknowable) is to try to figure out how the Ukrainian Economy, the Russian Economy and the economies of the European Union work and understand how they will respond to the shocks of the Russo-Ukrainian War.

• The Ukrainian Economy
• The Russian Economy

For more information about how my State Space models are estimated and constructed, see the Boiler Plate.

Trump's Trade War: the World-System Perspective

 

The New York Times today posted two interesting graphics about Trump' Trade War (here): The country status (above) and the results ranked by 2024 Imports (below).

From the ranks (above) it seems that he is going after the money, targeting our biggest trading partners. The economic sense of this (if there is any) is Import Substitution Industrialization (ISI) for the US, a strategy typically employed by Global South countries. Basically, price imports so high that home-grown industries will develop to fill the gaps. Unfortunately, building factories and developing an ecosystem of suppliers takes times. In the mean time, prices in the home country (US) go up as are result of tariff expenses being added to list prices (remember when tariffs would be listed on automobile sticker prices).

By the time ISI would have any impact, Trump will be out of office.

Blog Roll: Syria

 

Blog Roll: Iran

 

Iran has been in the news lately after US and Israel bombings. However, the problems for Iran are really historically driven and go back to the immediate aftermath of WWII. I have state-space models of the Iranian economy from 1950 to the present and use the models to help understand Iran's historical development 

HINT: the Iranian economy is an historically driven economy not a Neoclassical Economy. 

Here's a blog roll:

• The Iranian Revolution Still being worked out today.
  
• A Deep Dive into the Iranian State Space Cycles vs. Control
  
• Will Israel and US Attacks Hurt the World-System? Yes
  
• How Does the Iranian Economy Work? Not like a Neoclassical, free-market economy.
  
• What was the Impact of the Iranian Revolution? Elimination of Cycles!
  
• Stabilizing the Iranian Economy Easy but not easy!
  
• Iranian Globalization and Unemployment created the discontent that led to the Iranian Revolution.
• Iran as a Neoclassical Economy US Technological domination!

Further reading:

• Iranian Revolution a series of events that culminated in the overthrow of the Pahlavi dynasty in 1979.

• Strait of Hormuz a strait between the Persian Gulf and the Gulf of Oman. It provides the only sea passage from the Persian Gulf to the open ocean and is one of the world's most strategically important choke points.

• Iran-Contra Affair a political scandal in the United States that centered on arms trafficking to Iran between 1981 and 1986, facilitated by senior officials of the Ronald Reagan administration

• Iran Nuclear Program one of the most scrutinized nuclear programs in the world, has sparked intense international concern.

• Pahlavi Iran the Iranian state under the rule of the Pahlavi dynasty. The Pahlavi dynasty was created in 1925 and lasted until 1979 when it was ousted as part of the Iranian Revolution, which ended the Iranian monarchy and established the Islamic Republic of Iran.

• Iran-Iraq War an armed conflict between Iran and Iraq that lasted from September 1980 to August 1988. Active hostilities began with the Iraqi invasion of Iran and lasted for nearly eight years, until the acceptance of United Nations Security Council Resolution 598 by both sides.

• Iranian Economy a mixed, centrally planned economy with a large public sector. It consists of hydrocarbon, agricultural and service sectors, in addition to manufacturing and financial services, with over 40 industries traded on the Tehran Stock Exchange.

• The White Revolution a far-reaching series of reforms to aggressively modernize the Imperial State of Iran launched on 26 January 1963 by the Shah, Mohammad Reza Pahlavi, and ended with his overthrow in 1979.

• Modernization Theory holds that as societies become more economically modernized, wealthier and more educated, their political institutions become increasingly liberal democratic and rationalist.

• Foreign Policy of the Kennedy Administration The United States foreign policy during the presidency of John F. Kennedy from 1961 to 1963 included diplomatic and military initiatives in Western Europe, Southeast Asia, and Latin America, all conducted amid considerable Cold War tensions with the Soviet Union and its satellite states in Eastern Europe.

• Sharia Law a body of religious law that forms a part of the Islamic tradition based on scriptures of Islam, particularly the Qur'an and hadith.