Tag Archives: technology forecasting

Modeling High Tech – the Demand for Communications Services

A colleague was kind enough to provide me with a copy of –

Demand for Communications Services – Insights and Perspectives, Essays in Honor of Lester D. Taylor, Alleman, NíShúilleabháin, and Rappoport, editors, Springer 2014

Some essays in this Festschrift for Lester Taylor are particularly relevant, since they deal directly with forecasting the disarray caused by disruptive technologies in IT markets and companies.

Thus, Mohsen Hamoudia in “Forecasting the Demand for Business Communications Services” observes about the telecom space that

“..convergence of IT and telecommunications market has created more complex behavior of market participants. Customers expect new product offerings to coincide with these emerging needs fostered by their growth and globalization. Enterprises require more integrated solutions for security, mobility, hosting, new added-value services, outsourcing and voice over internet protocol (VoiP). This changing landscape has led to the decline of traditional product markets for telecommunications operators.

In this shifting landscape, it is nothing less than heroic to discriminate “demand variables” and “ independent variables” deploying and produce useful demand forecasts from three stage least squares (3SLS) models, as does Mohsen Hamoudia in his analysis of BCS.

Here is Hamoudia’s schematic of supply and demand in the BCS space, as of a 2012 update.

BCS

Other cutting-edge contributions, dealing with shifting priorities of consumers, faced with new communications technologies and services, include, “Forecasting Video Cord-Cutting: The Bypass of Traditional Pay Television” and “Residential Demand for Wireless Telephony.”

Festschrift and Elasticities

This Springer Festschrift is distinctive inasmuch as Professor Taylor himself contributes papers – one a reminiscence titled “Fifty Years of Studying Economics.”

Taylor, of course, is known for his work in the statistical analysis of empirical demand functions and broke ground with two books, Telecommunications Demand: A Survey and Critique (1980) and Telecommunications Demand in Theory and Practice (1994).

Accordingly, forecasting and analysis of communications and high tech are a major focus of several essays in the book.

Elasticities are an important focus of statistical demand analysis. They flow nicely from double logarithmic or log-log demand specifications – since, then, elasticities are constant. In a simple linear demand specification, of course, the price elasticity varies across the range of prices and demand, which complicates testimony before public commissions, to say the least.

So it is interesting, in this regard, that Professor Taylor is still active in modeling, contributing to his own Festschrift with a note on translating logs of negative numbers to polar coordinates and the complex plane.

“Pricing and Maximizing Profits Within Corporations” captures the flavor of a telecom regulatory era which is fast receding behind us. The authors, Levy and Tardiff, write that,

During the time in which he was finishing the update, Professor Taylor participated in one of the most hotly debated telecommunications demand elasticity issues of the early 1990’s: how price-sensitive were short-distance toll calls (then called intraLATA long-distance calls)? The answer to that question would determine the extent to which the California state regulator reduced long-distance prices (and increased other prices, such as basic local service prices) in a “revenue-neutral” fashion.

Followup Workshop

Research in this volume provides a good lead-up to a forthcoming International Institute of Forecasters (IIF) workshop – the 2nd ICT and Innovation Forecasting Workshop to be held this coming May in Paris.

The dynamic, ever changing nature of the Information & Communications Technology (ICT) Industry is a challenge for business planners and forecasters. The rise of Twitter and the sudden demise of Blackberry are dramatic examples of the uncertainties of the industry; these events clearly demonstrate how radically the environment can change. Similarly, predicting demand, market penetration, new markets, and the impact of new innovations in the ICT sector offer a challenge to businesses and policymakers. This Workshop will focus on forecasting new services and innovation in this sector as well as the theory and practice of forecasting in the sector (Telcos, IT providers, OTTs, manufacturers). For more information on venue, organizers and registration, Download brochure

Links – February 2015

I buy into the “hedgehog/fox” story, when it comes to forecasting. So you have to be dedicated to the numbers, but still cast a wide net. Here are some fun stories, relevant facts, positive developments, and concerns – first Links post for 2015.

Cool Facts and Projections

How the world’s population has changed – we all need to keep track of this, 9.6 billion souls by 2050, Nigeria’s population outstrips US.

worldpop

What does the world eat for breakfast?

Follow a Real New York Taxi’s Daily Slog 30 Days, 30 random cabbie journeys based on actual location data

Information Technology

Could Microsoft’s HoloLens Be The Real Deal?

MSHolo

I’ll Be Back: The Return of Artificial Intelligence

BloomAI

Issues

Why tomorrow’s technology needs a regulatory revolution Fascinating article. References genome sequencing and frontier biotech, such as,

Jennifer Doudna, for instance, is at the forefront of one of the most exciting biomedical advances in living memory: engineering the genomes not of plants, but of people. Her cheap and easy Crispr technology holds out the promise that anybody with a gene defect could get that problem fixed, on an individual, bespoke basis. No more one-size-fits all disease cures: everything can now be personalized. The dystopian potential here, of course, is obvious: while Doudna’s name isn’t Frankenstein, you can be sure that if and when her science gains widespread adoption, the parallels will be hammered home ad nauseam.

Doudna is particularly interesting because she doesn’t dismiss fearmongers as anti-science trolls. While she has a certain amount of control over what her own labs do, her scientific breakthrough is in the public domain, now, and already more than 700 papers have been published in the past two years on various aspects of genome engineering. In one high-profile example, a team of researchers found a way of using Doudna’s breakthrough to efficiently and predictably cause lung cancer in mice.

There is more on Doudna’ Innovative Genomics Initiative here, but the initially linked article on the need for regulatory breakthrough goes on to make some interesting observations about Uber and Airbnb, both of which have thrived by ignoring regulations in various cities, or even flagrantly breaking the law.

China

Is China Preparing for Currency War? Provocative header for Bloomberg piece with some real nuggets, such as,

Any significant drop in the yuan would prompt Japan to unleash another quantitative-easing blitz. The same goes for South Korea, whose exports are already hurting. Singapore might feel compelled to expand upon last week’s move to weaken its dollar. Before long, officials in Bangkok, Hanoi, Jakarta, Manila, Taipei and even Latin America might act to protect their economies’ competitiveness…

There’s obvious danger in so many economies engaging in this race to the bottom. It will create unprecedented levels of volatility in markets and set in motion flows of hot money that overwhelm developing economies, inflating asset bubbles and pushing down bond rates irrationally low. Consider that Germany’s 10-year debt yields briefly fell below Japan’s (they’re both now in the 0.35 percent to 0.36 percent range). In a world in which the Bank of Japan, the European Central Bank and the Federal Reserve are running competing QE programs, the task of pricing risk can get mighty fuzzy.

Early Look: Deflation Clouds Loom Over China’s Economy

The [Chinese] consumer-price index, a main gauge of inflation, likely rose only 0.9% from a year earlier, according to a median forecast of 13 economists surveyed by the Wall Street Journal

China’s Air Pollution: The Tipping Point

Chinapollution

Energy and Renewables

Good News About How America Uses Energy A lot more solar and renewables, increasing energy efficiency – all probably contributors to the Saudi move to push oil prices back to historic lows, wean consumers from green energy and conservation.

Nuclear will die. Solar will live Companion piece to the above. Noah Smith curates Noahpinion, one of the best and quirkiest economics blogs out there. Here’s Smith on the reason nuclear is toast (in his opinion) –

There are three basic reasons conventional nuclear is dead: cost, safety risk, and obsolescence risk. These factors all interact.            

First, cost. Unlike solar, which can be installed in small or large batches, a nuclear plant requires an absolutely huge investment. A single nuclear plant can cost on the order of $10 billion U.S. That is a big chunk of change to plunk down on one plant. Only very large companies, like General Electric or Hitachi, can afford to make that kind of investment, and it often relies on huge loans from governments or from giant megabanks. Where solar is being installed by nimble, gritty entrepreneurs, nuclear is still forced to follow the gigantic corporatist model of the 1950s.

Second, safety risk. In 1945, the U.S. military used nuclear weapons to destroy Hiroshima and Nagasaki, but a decade later, these were thriving, bustling cities again. Contrast that with Fukushima, site of the 2011 Japanese nuclear meltdown, where whole towns are still abandoned. Or look at Chernobyl, almost three decades after its meltdown. It will be many decades before anyone lives in those places again. Nuclear accidents are very rare, but they are also very catastrophic – if one happens, you lose an entire geographical region to human habitation.

Finally, there is the risk of obsolescence. Uranium fission is a mature technology – its costs are not going to change much in the future. Alternatives, like solar, are young technologies – the continued staggering drops in the cost of solar prove it. So if you plunk down $10 billion to build a nuclear plant, thinking that solar is too expensive to compete, the situation can easily reverse in a couple of years, before you’ve recouped your massive fixed costs.

Owners of the wind Greenpeace blog post on Denmark’s extraordinary and successful embrace of wind power.

What’s driving the price of oil down? Econbrowser is always a good read on energy topics, and this post is no exception. Demand factors tend to be downplayed in favor of stories about Saudi production quotas.

Links – Beginning of the Holiday Season

Economy and Trade

Asia and Global Production Networks—Implications for Trade, Incomes and Economic Vulnerability Important new book –

The publication has two broad themes. The first is national economies’ heightened exposure to adverse shocks (natural disasters, political disputes, recessions) elsewhere in the world as a result of greater integration and interdependence. The second theme is focused on the evolution of global value chains at the firm level and how this will affect competitiveness in Asia. It also traces the past and future development of production sharing in Asia.

Chapter 1 features the following dynamite graphic – (click to enlarge)

GVC2009

The Return of Currency Wars

Nouriel Roubini –

Central banks in China, South Korea, Taiwan, Singapore, and Thailand, fearful of losing competitiveness relative to Japan, are easing their own monetary policies – or will soon ease more. The European Central Bank and the central banks of Switzerland, Sweden, Norway, and a few Central European countries are likely to embrace quantitative easing or use other unconventional policies to prevent their currencies from appreciating.

All of this will lead to a strengthening of the US dollar, as growth in the United States is picking up and the Federal Reserve has signaled that it will begin raising interest rates next year. But, if global growth remains weak and the dollar becomes too strong, even the Fed may decide to raise interest rates later and more slowly to avoid excessive dollar appreciation.

The cause of the latest currency turmoil is clear: In an environment of private and public deleveraging from high debts, monetary policy has become the only available tool to boost demand and growth. Fiscal austerity has exacerbated the impact of deleveraging by exerting a direct and indirect drag on growth. Lower public spending reduces aggregate demand, while declining transfers and higher taxes reduce disposable income and thus private consumption.

Financial Markets

The 15 Most Valuable Startups in the World

Uber is among the top, raising $2.5 billion in direct investment funds since 2009. Airbnb, Dropbox, and many others.

The Stock Market Bull Who Got 2014 Right Just Published This Fantastic Presentation I especially like the “Mayan Temple” effect, viz

MayanTemple

Why Gold & Oil Are Trading So Differently supply and demand – worth watching to keep primed on the key issues.

Technology

10 Astonishing Technologies On The Horizon – Some of these are pretty far-out, like teleportation which is now just gleam in the eye of quantum physicists, but some in the list are in prototype – like flying cars. Read more at Digital Journal entry on Business Insider.

  1. Flexible and bendable smartphones
  2. Smart jewelry
  3. “Invisible” computers
  4. Virtual shopping
  5. Teleportation
  6. Interplanetary Internet
  7. Flying cars
  8. Grow human organs
  9. Prosthetic eyes
  10. Electronic tattoos

Albert Einstein’s Entire Collection of Papers, Letters is Now Online

Princeton University Press makes this available.

AEinstein

Practice Your French Comprehension

Olivier Grisel, Software Engineer, Inria – broad overview of machine learning technologies. Helps me that the slides are in English.

Video Friday – Fracking

Here is Brian Ellis from Michigan University Engineering with a look at the technology of hydraulic fracturing (fracking) and horizontal drilling – the innovations that recently pushed US oil production near the 10 million barrel per day mark.

I’m putting this up, rather than other, often excellent film clips showing people lighting water from their kitchen taps because the scale of shale oil and gas production has become so large. There really is a huge tradeoff between current employment and business activity and long term environmental effects.

Price, rather than environmental concerns, are likely to be the crucial factor in any scaleback.

At the same time, there is the possibility of further technical advance in the US shale oil and gas technologies, advances which may push extraction prices lower, giving the industry a longer lease during what may be a year or more of lower oil prices.

Fracking and its possible dynamics are critical to a lot of business activity and, thus, forecasting in the US.

Video Friday on Steroids

Here is a list of the URL’s for all the YouTube and other videos shown on this blog from January 2014 through May of this year. I encourage you to shop this list, clicking on the links. There’s a lot of good stuff, including several  instructional videos on machine learning and other technical topics, a series on robotics, and several videos on climate and climate change.

January 2014

The Polar Vortex Explained in Two Minutes

https://www.youtube.com/watch?v=5eDTzV6a9F4

NASA – Six Decades of a Warming Earth

https://www.youtube.com/watch?v=gaJJtS_WDmI

“CHASING ICE” captures largest video calving of glacier

https://www.youtube.com/watch?v=hC3VTgIPoGU

Machine Learning and Econometrics

https://www.youtube.com/watch?v=EraG-2p9VuE

Can Crime Prediction Software Stop Criminals?

https://www.youtube.com/watch?v=s1-pbJKA3H8

Analytics 2013 – Day 1

https://www.youtube.com/watch?v=LsyOLBroVx4

The birth of a salesman

https://www.youtube.com/watch?v=pWM1dR_V7uw

Economies Improve

https://www.youtube.com/watch?v=5_DeCMIig_M

Kaggle – Energy Applications for Machine Learning

https://www.youtube.com/watch?v=mZZFXTUz-nI

2014 Outlook with Jan Hatzius

https://www.youtube.com/watch?v=Ggv0oC8L3Tk

Nassim Taleb Lectures at the NSF

https://www.youtube.com/watch?v=omsYJBMoIJU

Vernon Smith – Experimental Markets

https://www.youtube.com/watch?v=Uncl-wRfoK8

 

 

Forecast Pro – Quick Tour

https://www.youtube.com/watch?v=s8jMp5qS8v4

February 2014

Stephen Wolfram’s Introduction to the Wolfram Language

https://www.youtube.com/watch?v=_P9HqHVPeik

Tornados

https://www.youtube.com/watch?v=TEGhgsiNFJ4

Econometrics – Quantile Regression

https://www.youtube.com/watch?v=P9lMmEkXuBw

Quantile Regression Example

https://www.youtube.com/watch?v=qrriFC_WGj8

Brooklyn Grange – A New York Growing Season

http://vimeo.com/86266334

Getting in Shape for the Sport of Data Science

https://www.youtube.com/watch?v=kwt6XEh7U3g

Machine Learning – Decision Trees

https://www.youtube.com/watch?v=-dCtJjlEEgM

Machine Learning – Random Forests

https://www.youtube.com/watch?v=3kYujfDgmNk

Machine Learning – Random Forecasts Applications

https://www.youtube.com/watch?v=zFGPjRPwyFw

Malcolm Gladwell on the 10,000 Hour Rule

https://www.youtube.com/watch?v=XS5EsTc_-2Q

Sornette Talk

https://www.youtube.com/watch?v=Eomb_vbgvpk

Head of India Central Bank Interview

https://www.youtube.com/watch?v=BrVzema7pWE

March 2014

David Stockman

https://www.youtube.com/watch?v=DI718wFmReo

Partial Least Squares Regression

https://www.youtube.com/watch?v=WKEGhyFx0Dg

April 2014

Thomas Piketty on Economic Inequality

https://www.youtube.com/watch?v=qp3AaI5bWPQ

Bonobo builds a fire and tastes marshmellows

https://www.youtube.com/watch?v=GQcN7lHSD5Y

Future Technology

https://www.youtube.com/watch?v=JbQeABIoO6A

May 2014

Ray Kurzweil: The Coming Singularity

https://www.youtube.com/watch?v=1uIzS1uCOcE

Paul Root Wolpe: Kurzweil Critique

https://www.youtube.com/watch?v=qRgMTjTMovc

The Future of Robotics and Artificial Intelligence

https://www.youtube.com/watch?v=AY4ajbu_G3k

Car Factory – KIA Sportage Assembly Line

https://www.youtube.com/watch?v=sjAZGUcjrP8

10 Most Popular Applications for Robots

https://www.youtube.com/watch?v=fH4VwTgfyrQ

Predator Drones

https://www.youtube.com/watch?v=nMh8Cjnzen8

The Future of Robotic Warfare

https://www.youtube.com/watch?v=_atffUtxXtk

Bionic Kangaroo

https://www.youtube.com/watch?v=HUxQM0O7LpQ

Ping Pong Playing Robot

https://www.youtube.com/watch?v=tIIJME8-au8

Baxter, the Industrial Robot

https://www.youtube.com/watch?v=ukehzvP9lqg

Bootstrapping

https://www.youtube.com/watch?v=1OC9ul-1PVg

Links – Labor Day Weekend

Tech

Amazon’s Cloud Is So Pervasive, Even Apple Uses It

Your iCloud storage is apparently on Amazon.

Amazon’s Cloud Is The Fastest Growing Software Business In History

AWS

AWS is Amazon Web Services. The author discounts Google growth, since it is primarily a result of selling advertising. 

How Microsoft and Apple’s Ads Define Their Strategy

Microsoft approaches the market from the top down, while Apple goes after the market from the bottom up.

Mathematical Predictions for the iPhone 6

Can you predict features of the iPhone6 scheduled to be released September 6?

iphoneplot

Predictive Analytics

Comparison of statistical software

Good links for R, Matlab, SAS, Stata, and SPSS.

Types and Uses of Predictive Analytics, What they are and Where You Can Put Them to Work

Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the enterprise. What is the promise of predictive analytics and what exactly are they [types and uses of predictive analytics]? Good highlighting of main uses of predictive analytics in companies.

The Four Traps of Predictive Analytics

Magical thinking/ Starting at the Top/ Building Cottages, not Factories/ Seeking Purified Data. Good discussion. This short article in the Sloan Management Review is spot on, in my opinion. The way to develop good predictive analytics is to pick an area, indeed, pick the “low-handing fruit.” Develop workable applications, use them, improve them, broaden the scope. The “throw everything including the kitchen sink” approach of some early Big Data deployments is almost bound to fail. Flashy, trendy, but, in the final analysis, using “exhaust data” to come up with obscure customer metrics probably will not cut in the longer run.

Economic Issues

The Secular Stagnation Controversy

– discusses the e-book Secular Stagnation: Facts, Causes and Cures. The blogger Timothy Taylor points out that “secular” here has no relationship to lacking a religious context, but refers to the idea that market economies, or, if you like, capitalist economies, can experience long periods (decade or more) of desultory economic growth. Check the e-book for Larry Summer’s latest take on the secular stagnation hypothesis.

Here’s how much aid the US wants to send foreign countries in 2015, and why (INFOGRAPHIC

foreignaid

2020 and 2030 – Forecasts and Projections

I’d like to establish a context for discussing longer term forecasts, in this case to 2020 and 2030.

So, just below, I give you my take on 1990-2005. A lot happened that was unanticipated at the beginning of this period. One should expect, I think, the same to be true for 2015-2030.

Along those lines, I also suggest Big Picture factors that may come into play over the next fifteen or so years.

In coming posts, I want to summarize forecasts and projections I have seen for this period.

And I’m a little unusual in the technical forecasting community, since I’m equipped to do matrix programming, discuss boosting and bagging and so forth, and, on the other side of the aisle, weave together these stories and scenarios about process, causes, and factors. The quantitative is usually where I get paid, but, at the same time, I think it is easy to underestimate the benefit of trying to keep track of the Big Picture, the global dynamics, the political economy, and so forth.

1990-2005

The 1990’s rolled out with a nasty little recession in 1991 and voters throwing the first George Bush out of office, in favor of a clarinet-playing former Governor of Arkansas with a penchant for the ladies. Then, the United States experienced the longest period of economic prosperity since the 1960’s, fueled by the tech revolution and rise of the Internet. The breakup of the Soviet Union became official with democratic forms struggling to take root in Russia and former Soviet Republics. The US defense budget was cut about 40 percent from 1980 levels. Deregulation became a theme, and deregulation of telecoms led to burgeoning investments in telecom systems. The end of the decade saw the absurd Y2K problem, where details of computer clocks were supposed to stop everything at midnight, the turn of the century.

The New Millennium saw another recession in 2001, which was particularly sharp for the tech industry. Another Bush took the Presidency, after the Supreme Court intervened in the disputed General Election. Then there was 9/11 – September 11, 2001, with the destruction of the World Trade Center by large airliners being flown into the upper stories. This was a pivotal event. There was immediate surge in the military budget and in US military action in Afghanistan and then the invasion of Iraq, putatively because Saddam Hussein possessed “weapons of mass destruction.”

The US economy pretty much languished after the 2001-2002 recession, being stimulated to an extent by the rise in the defense budget, then by housing activity triggered by continued lowering of interest rates by the US Federal Reserve Bank under the redoubtable Alan Greenspan.

Another development that became especially noticeable after 2000 was the rise of China as a manufacturing and export power. The construction of the Shanghai skyline from the late 1990’s to the middle of the last decade was nothing less than stupendous.

The Importance of Technical Change

So what is important over a span of time? Are there underlying determinants?

I’ve got to believe technical change is an important element in historical process. If we take the fifteen year period sketched above, for example, a lot of the story is driven, at some level, by technical developments, especially in information technology (IT).

My favorite explanation of the collapse of the Soviet Union, for example, includes Silicon Valley as a key driver. The Soviet planned economy was a huge lumbering machine, compared to the nimble, change-oriented shops in the Valley, innovating new computer setups every few months. One immediate consequence was the US fighter aircraft came to totally dominate the old MIG planes, with their electronically guided missiles and tracking systems.

And to go on in this vein, focusing on the rise of US tech and then the movement of production to China is a strategic process for understanding the past couple of decades.

Big Picture Factors

Suffice it to say – new technology will be as much a driver of change in the next fifteen years, as it has been over the past fifteen.

Indeed, according to the futurist Ray Kurzweil, something called The Singularity stalks the human future. Perhaps around 2045, somewhat outside our forecast horizon in this discussion, technology will converge to completely outperform human intelligence. Commentators ranging from Stanislaus Ulam to Kurzweil believe that it is impossible to project human history beyond this point – hence the name.

Conventionally, this will involve biotechnology, computer technology, and robotics – but also could involve nanotechnology.

In any case, hefty doses of new technology may be necessary just to keep on a level course. I’m thinking, for example, of the diminishing effectiveness of antibiotics. So we have the evolution of “superbugs,” as well as the emergence of new epidemics through mutation or disease vectors jumping species lines. Ebola is a particularly gruesome example.

And while on technology, it is fair to observe that complex technologies just at or beyond the boundary of human control present deep challenges. Deep-sea oil drilling and the Gulf of Mexico oil spill, under British Petroleum, and the Fukishima nuclear disaster, still leaking radioactivity into the Pacific, are two examples.

Population or more generally demography is another Big Picture factor. Populations are aging in the United States, Europe, and Japan, but also in China. And global population continues to grow, possibly by another billion by 2030.

Climate change is another Big Picture factor.

The global climate is a complex, dynamic system. There is lots of noise in the discussion and uncertainties, such as whether there may be a cooling interval, as carbon dioxide and methane concentrations continue to rise globally. A number of studies commissioned by US and other intelligence agencies, though, highlight the potential for massive impacts from, say, basic changes in monsoon patterns in South Asia.

In terms of geopolitics, I suspect the shift in the economic center of gravity to somewhere along the Asian rim is another Big Picture development.

There are many relevant metrics. The proportion of global output produced by the United States, according to the World Economic Outlook (WEO) of the International Monetary Fund (IMF), will continue to diminuish, as Chinese growth in the worst case is projected to exceed levels of economic growth in the US and, certainly, in Europe.

Then, there is the issue of the US being the policeman of the world. At some point, the cost of maintaining a global span of military bases and force readiness for multiple theatres of action will weigh heavily on the US – as one could argue is already happening to some degree.

Challenges to the global dominance of the US dollar can be predicted, also, in the next fifteen years.

Sustainability

Whether any of the above “Big Picture” factors actually come into play by 2020 or 2030 is, of course, a speculation. But I think the basic technique of long term forecasting is to inventory possible influences like these. Then, you construct scenarios.

One thing appears certain. And that is there will be surprises.

In looking at forecasts for the next five to fifteen years, I also want to give thought to sustainability. Are there institutions and arrangements which could offer a backup to the various types of instabilities which could emerge?

And there is apparently an increasing chance of an increase in the general level of warfare, perhaps with linking of action in various theatres. I have to say, too, that I am poorly equipped to comment on these conflicts, although, as they ramp up, I attempt to learn more about the players and underlying dynamics.

I’ll be using this venue as a scratch-pad to record the projections of others and some thoughts I might have in response vis a vis 2020 and 2030.

Links – late August 2014

Economics Articles, Some Theoretical, Some Applied

Who’s afraid of inflation? Not Fed Chair Janet Yellen At Jackson Hole, Yellen speech on labor market conditions states that 2 percent inflation is not a hard ceiling for the Fed.

Economist’s View notes a new paper which argues that deflation is simply unnecessary, because the conditions for a “helicopter drop” of money (Milton Friedman’s metaphor) are widely met.

Three conditions must be satisfied for helicopter money always to boost aggregate demand. First, there must be benefits from holding fiat base money other than its pecuniary rate of return. Second, fiat base money is irredeemable – viewed as an asset by the holder but not as a liability by the issuer. Third, the price of money is positive. Given these three conditions, there always exists – even in a permanent liquidity trap – a combined monetary and fiscal policy action that boosts private demand – in principle without limit. Deflation, ‘lowflation’ and secular stagnation are therefore unnecessary. They are policy choices.

Stiglitz: Austerity ‘Dismal Failure,’ New Approach Needed

US housing market loses momentum

Fannie Mae economists have downgraded their expectations for the U.S. housing market in the second half of this year, even though they are more optimistic about the prospects for overall economic growth.

How Detroit’s Water Crisis Is Part Of A Much Bigger Problem

“Have we truly become a society to where we’ll go and build wells and stuff in third world countries but we’ll say to hell with our own right here up under our nose, our next door neighbors, the children that our children play with?”

Economic harassment and the Ferguson crisis

According to .. [ArchCity Defenders] recent report .. the Ferguson court is a “chronic offender” in legal and economic harassment of its residents….. the municipality collects some $2.6 million a year in fines and court fees, typically from small-scale infractions like traffic violations…the second-largest source of income for that small, fiscally-strapped municipality….

And racial profiling appears to be the rule. In Ferguson, “86% of vehicle stops involved a black motorist, although blacks make up just 67% of the population,” the report states. “After being stopped in Ferguson, blacks are almost twice as likely as whites to be searched (12.1% vs. 7.9%) and twice as likely to be arrested.” But those searches result in the discovery of contraband at a much lower rate than searches of whites.

Once the process begins, the system begins to resemble the no-exit debtors’ prisons of yore. “Clients reported being jailed for the inability to pay fines, losing jobs and housing as a result of the incarceration, being refused access to the Courts if they were with their children or other family members….

“By disproportionately stopping, charging, and fining the poor and minorities, by closing the Courts to the public, and by incarcerating people for the failure to pay fines, these policies unintentionally push the poor further into poverty, prevent the homeless from accessing the housing, treatment, and jobs they so desperately need to regain stability in their lives, and violate the Constitution.” And they increase suspicion and disrespect for the system.

… the Ferguson court processed the equivalent of three warrants and $312 in fines per household in 2013.

Science

Astronauts find living organisms clinging to the International Space Station, and aren’t sure how they got there

international-space-station-complete-640x408

A Mathematical Proof That The Universe Could Have Formed Spontaneously From Nothing

What caused the Big Bang itself? For many years, cosmologists have relied on the idea that the universe formed spontaneously, that the Big Bang was the result of quantum fluctuations in which the Universe came into existence from nothing.

1_INtAsuxJF7cMqoCBmesz-w

Big Data Trends In 2014 (infographic – click to enlarge)

Aureus-analytics-infographic-option-2

Video Friday – Ecommerce Trends

Trends for 2014

Matt made this at the end of 2013, but it hits the mark for what we are seeing this year. It’s only two minutes! Part of a series called ’Two Minute Tuesdays’, but of course we are showing it on a Friday.

But a lot of what you find on ecommerce is US-centric. This leads to the question –

Should We Be Afraid of Alibaba?

Alibaba is bigger than Amazon and eBay combined, leading to an alarmist Bloomberg article earlier this month Alibaba’s IPO May Herald the End of U.S. E-Commerce Dominance

Ecommerce Trends in China

This YouTube video is a test run of a talk given May 2014 in China, and contains some material at the beginning which I consider to be superfluous – biography of the presenter, etc. However, if you get beyond that, there are a lot of key stats presented in the slides and presentation. Valuable.

Will Online Retail Cannibalize Brick-and-mortar Sales?

Online retail or ecommerce is growing at three times the rate of retails sales generally (15 percent compared with 5 percent). And within online sales, mobile ecommerce is rocketing ahead by growth rates on the order of 25 percent per year in the US. Are these faster growing elements complementary to or cannibalizing conventional retail sales?

First, some stores – such as Blockbuster, Movie Gallery, Borders, and stores selling records and CD’s – are clearly casualties of Internet competition.

Other brick-and-mortar operations are following a multi-channel strategy, opening up online sales divisions parallel and in addition to their stores with goods on the shelves.

But the handwriting may be on the wall.

For one thing, in the 2013 holiday season, U.S. retailers saw approximately half the holiday foot traffic they experienced just three years ago.

And some of the foot traffic in brick-and-mortar stores is “showrooming” with practices highlighted in this infographic from Adweek (click to enlarge).

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And it’s significant a pure-play ecommerce provider like Amazon has risen to one of the ten largest retailers in the United States, with 2013 sales of $44 billion.

While Amazon is still back in the pack (see Table below), its annual growth rate is unsurpassed.

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Bottom line – the “fulfillment center” may become a growing trend.

People like to see the product, especially if it is a larger ticket item.

Interestingly, Amazon is now opening fulfillment centers in key urban markets. Other formerly brick-and-mortar stores may repurpose some of their floor area to warehousing and fulfillment of customer orders.

Recognize, however, that we’re talking about $3-4 trillion in retail sales in the US, and the game on the ground is likely to change relatively slowly – over five or ten years.