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Tag Archives: GDP

Henry Ford's Model-T

The natural resource curse can strike in surprising places.

But Detroit?

When economies blessed with commodity wealth fail to soar, the reason might be the natural resource curse. Single minded focus on one economic sector means unpreparedness when that sector falters. It means a less diversified economy that ignores its total potential. It means a costly infrastructure that will eventually become virtually useless.

In other words, channeling resources toward one industry can lead to “crowding out” others.

Also, the natural resource curse can involve political instability, volatile world markets and the impact of currency appreciation. Furthermore, comparing those stricken–Bolivia, Sudan, the Congo–to those who avoided it–Norway, Chile, Botswana–we can see that it is not inevitable.

But for now, let’s just stick with “crowding out” and return to Detroit.

If someone says Ford, Buick, Chevrolet, Dodge and Chrysler, don’t you think of car companies? Also though, they are last names of the amazing entrepreneurs who made the Detroit region thrive. With the auto as the growth engine, Detroit was a leading US city during the first half of the 20th century.

Now, Detroit is always near the top of distressed municipalities lists. With a jobs, transport and housing infrastructure based almost exclusively on the auto, Detroit responded catastrophically to globalization. Only 12% of Detroit’s adults have a college degree, much of their infrastructure is irrelevant, 1/3 of the city’s population lives below the poverty line (2011 stats) and April unemployment is close to 10%. Harvard economist Ed Glaeser says that the decline could have been lessened or avoided by targeting auto manufacture with less human and physical capital.

In other words, as with the traditional definition of the natural resource curse, a temporarily thriving economic sector monopolized land, labor and capital. Consequently, the region was unprepared for the inevitable changes that the future always brings.

Our bottom line? Debating resource or manufacturing development, many of the same ideas relate. We can consider crowding out, negative externalities, currency appreciation, civil institutions or depletion. Always though, economic growth is the bottom line.

Sources and Resources: Harvard economist Ed Glaeser conveys his analysis of Detroit in an hour long econtalk podcast and much more briefly for economix. For more on Detroit’s descent toward bankruptcy and the state’s takeover of its finances, this Reuter’s article provides the details. Then, to complete the picture, this superb  NBER working paper discusses the causes, likelihood, and prevalence of the natural resource curse and its connection to economic growth.

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Starbucks Hot Chocolate

This Ellen Show segment with Dennis Quaid at Starbucks was hilarious. Afterwards, for an economic life connection, we can relate it to consumer spending.

Starbucks just reported its second quarter fiscal year 2013 earnings and said that their US customer traffic was up. When Starbucks refers to more sales, we can think of the single store that the Ellen Show visited or the 11,100 cafes it runs in the US. We can then step beyond to the 2.5% increase on an annualized basis of the US GDP. Representing close to 70% of the GDP, consumer spending for services and goods like those produced by Starbucks has been the fuel that propels US economic growth.

From the St. Louis Federal Reserve

From the St. Louis Federal Reserve

Sources and Resources: For more on Starbucks’ earnings, you might enjoy a transcript of their conference call or this Bloomberg summary of their 2nd quarter results. As a complement, the St Louis Fed consumption expenditures graph (above), the GDP press release and this summary provide a broader view.

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GDP...16843_5.2_9209625-gdp

Having reported yesterday that the GDP grew 2.5%, the Bureau of Economic Analysis (BEA) reminded us that their data “are incomplete or subject to further revision.” They meant that businesses and individuals still have more information to gather and submit about US goods and services production for the first quarter of 2013.

But what about the nannies, tutors, housecleaners and cupcake bakers who never reported their income? For nannies alone, in 1994, there were 500,000 tax filings; by 2008, the number dropped to 219,000. Fewer nannies? Probably not.

Some data, the BEA will never find out.

Researchers estimate that the size of the underground economy–the goods and services we produce that do not get counted–totals $2 trillion, close to 8% of US production. You can translate $2 trillion into $500 billion in unpaid taxes. In advanced economies, maybe 14-16% of all production is underground while in the developing world, 30%-40%. Predictably, for the euro zone’s strugglers like Greece, the underground economy might occupy one quarter or more of all production.

If we eliminate illegal goods and services like drugs, we can define the underground economy as all legal goods and services that are intentionally concealed from government to avoid taxes and/or other regulations. As a result, participants receive lower wages, they work longer hours. Businesses do not comply with quality standards; they are more susceptible to corruption. Correspondingly,  the taxes to support government programs never materialize and the nannies who never paid their social security will never receive it.

But still, if the reason is a complex tax system with lots of forms–a system that has a high transaction cost, for some noncompliance is productive. Also, with the underground economy   having increased during the great recession, it could have been a lifesaver for the unemployed.

Perhaps, an increasing underground economy means that first quarter GDP growth is more than 2.5%?

Your opinion?

Sources and Resources: Having read the BEA first quarter GDP news release, I recalled James Surowiecki’s New Yorker article on the underground economy. Surowiecki and a subsequent CNBC article lead me to a wealth of research. One solid discussion, here, presents the academic perspective and research and this briefer note focuses on nannies.

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basketball

Although fans think a basketball player can have “hot hands,” psychologists disagree. We might just be displaying our tendency to select facts that support what we already believe–our confirmation bias.

Citing the “hot-hand phenomenon,” many basketball fans believe that players have a greater chance of shooting successfully following several previous points. Then, because they expect a hot hand, they are more likely to identify it. And yet, it just isn’t so. Studying more than a season of Philadelphia 76er games, researchers concluded that there was “no evidence for a positive correlation between the outcomes of successive shots.” Instead, the data echoed random sets of numbers.

Confirmation bias might also affect how we respond to the Rogoff-Reinhart controversy.

Very simply stated, the research of Harvard economists Kenneth Rogoff and Carmen Reinhart tells us that a 90% debt to GDP ratio is a tipping point. With more debt, GDP growth evaporates. Because their work indicates that austerity rather than stimulus can provide the path to economic health, the Rogoff-Reinhart studies have given academic validity to spending cutbacks.

Now, new research from the University of Massachusetts says the Rogoff-Reinhart work has quantitative inaccuracies. Finding a mistaken number and (what they say is) questionable data weighting and country selection, these economists challenge the underpinnings of the Rogoff-Reinhart conclusions.

Reading the exchange, I suspect we will see confirmation bias. Costly for any researcher to negate previous conclusions, I wonder whether each side will choose data to confirm a previously held point of view.

Sources and Resources: If you doubt the accuracy of a challenge to the “hot-hand” phenomenon, do read the original Tversky et al paper here. Then, this Wired article connects it to confirmation bias. (Please note that Wired questions the sources used by its author but I checked and all appear accurate.) As for the challenge to Rogoff and Reinhart, these two BusinessInsider articles, here and here, provide an ideal overview and the R/R response.

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Golf_human capital formation...000019059879XSmall

Sometimes, correlation just won’t take us to causation…

The Dow and Tiger Woods:

  • The highs and lows of the Dow Industrial Average have paralleled the rise, fall and rise again of Tiger Woods’s career. If you continue this graph, to now, both lines rise.
From Harvard Business review Blog Network

From Harvard Business Review Blog Network

The GDP and skirt lengths:

  • One study that looked at the economy and skirt lengths between 1921 and 2009 found that when economic activity fell, 3 or 4 years later, so too would skirt lengths; if the GDP went up, then again, it took 3 or four years for hemlines to follow.

Greek bond yields and Facebook:

From Bloomberg

From Bloomberg

Stock indices and skyscrapers:

  • In certain developing nations, there appears to be a parallel between building the world’s tallest building and subsequent stock market declines. In Malaysia, the Kuala Lumpur Stock Index slumped after the 1998 completion of the Petronas Twin Towers (452 meters; 1482 feet). In Taiwan, the TAIEX Index slid when their Taipe 101 (509.2 meters; 1671 feet) was completed. After construction began of Burj Khalifa (829.8 meters; 2722 feet), in the United Arab Emirates, their Dubai Financial Markets Index plunged.

Our bottom Line? Economic causation is tough to prove. For the 1930s depression, no one can create a control group to prove that the Keynesians or monetarists are right or wrong. And now, we cannot prove with scientific certainty whether austerity or stimulus is the right medicine for sluggish debt-laden economies.

A note: The subtitle of an article in today’s NY Times Magazine is, ”What Swedish babies and the Stone Age can teach us about life expectancy and income inequality.” The author states causation. Maybe though, correlation? Your opinion?

Sources and Resources: Having read a WSJ article on the Dow and Tiger Woods, I discovered a Harvard Business Review blog that predated it and was the source of my graph; I do recommend reading it. For skirt lengths, I returned to econlife, here, while a wonderful Bloomberg article was the source of my Facebook/Greek bond graph. Finally, although this paper had debatable conclusions, it was a handy source of facts as were Yahoo Finance and Business Insider for historical markets data.

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