2/9/19: Trump's Tariffs of War...

Two charts summarizing the effects of the ongoing Trump Trade War on U.S. tariffs (overall, first chart) and on bilateral U.S.-China trade (second chart)

Source: @Soberlook

Source: https://www.piie.com/blogs/trade-investment-policy-watch/trump-trade-war-china-date-guide

In the mean time, China's tariffs vis a vis the rest of the world are falling:

Source: ibid.

Someone is winning in this war (maybe Europeans https://trueeconomics.blogspot.com/2019/08/15819-winning-trade-wars-round-3.html or others https://trueeconomics.blogspot.com/2019/08/19819-import-zamescheniye-replacing.html) but it ain't the U.S.

2/9/19: One view of Austerity

A picture is worth a thousand words, some say. So here is a picture of austerity we've had (allegedly) in recent decades:

Source: @Soberlook 

The things are savage: debt is up from ca 70% to over 110%. Cost of debt carry is down from just under 4% to under 1.75%. So where are all those fabled public investments? And who has benefited from this massive increase in debt? Virtually all - financialized (a nice euphemism for being absorbed into financial assets valuations). Austerity, after all, is just the old-fashioned transfer of resources from the broader economy to the select few, made more palatable by the superficially low cost of borrowing.

1/9/19: U.S. Non-Financial Corporate Sector: Stagnation in Net Value Added

Value added by the U.S. non-financial corporates has been languishing well below the cyclical peak for some months now:

In fact, since Q3 2016, net value added by the non-financial corporations has been running below long run trend, and has been basically flat. This suggests substantial pressures build up in the economy, consistent with all previous early indicators of a recession. Interestingly, there is zero evidence of any improvement in the non-financial economy in the U.S. since 2016 election.

1/9/19: Priming the Bubble Pump: Extreme Credit Accommodation in the U.S.

Using Chicago Fed National Financial Conditions Credit Subindex (weekly, not seasonally adjusted data), I have plotted credit conditions measurements for expansionary cycles from 1971 through late August 2019. Positive values of the index indicate tightening of credit conditions in the economy, while negative values denote loosening of credit conditions.

Since the start of the 1982 expansionary cycle, every consecutive cycle was associated with sustained, long term loosening of credit conditions, which means the Fed and the regulatory authorities have effectively pumped up credit in the economy during economic expansions - a mark of a pro-cyclical approach to financial policies. This trend became extreme in the last three expansionary cycles, including the current one. In simple terms, credit conditions from the end of the 1990s recession, through today, have been exceptionally accommodating. Not surprisingly, all three expansionary cycles in question have been associated with massive increases in leverage and financialization of the economy, as well as resulting asset bubbles (dot.com bubble in the 1990s, property bubble in the 2000s, and financial assets bubbles in the 2010s).

The current cycle, however, takes this broader trend toward pro-cyclical financial policies to a new level in terms of the duration of accommodation and the fact that it lacks any significant indication of moderation.

26/8/19: ifo Survey Shows Increasing Business Concerns in Germany

Ifo Institute's Business Climate indicator for Germany is falling off the cliff:

In simple terms, current business situation assessment has now fallen to its lowest reading since March 2015, forward business expectations are the lowest since June 2009, and overall Business Climate index is at its lowest reading since November 2012.

August 2019 marks fifth consecutive month of decline in the overall Business Climate index, current Business Situation index, and Business Expectations index.

Overall, the indicator is still pointing to a downturn in growth, as opposed to a recession:

The Dispersion Index - a measure of the degree of businesses-perceived uncertainty about the future direction of the economy - has now risen to the levels last seen in April 2010.

25/8/19: My talk at IIBN event

A brief snippet of my talk earlier this year at Irish International Business Network event:
https://www.youtube.com/watch?v=0wt4QI0CkQM.

23/8/19: Counting Trillions: The Unrelenting March of Debt

The never-ending march of leverage:

Between 2001 and 2008, Big 4 Non-Financial Sector Debt rose USD 30.04 trillion or 96.5 percent from trough to peak. Since 1Q 2009 financial crisis trough through 2Q 2019, the same is up USD 37.35 trillion or 62.7 percent.

22/8/19: Irish Economy is Now Fully Captured by the Multinationals

Just as in the years prior, 2018 was another year of massive dominance of the foreign-owned multinational corporations in Irish official economic growth statistics. Per latest data from CSO (see the link below), in 2018, MNEs-dominated sectors of the Irish economy have contributed 5.6 percentage points to the overall growth in Gross Value Added in Ireland, against domestic sectors contribution of 2.3 percentage points. This marks an increase on 2017 growth contribution by MNEs (4 percentage points against domestic 2.9 percentage points), and 2016 figures (2.4 percentage points growth for MNEs against 2.3 percentage points for domestic).

Over the last 5 years, overall share of real Gross Value Added in the Irish economy accruing to the multinationals-dominated sectors has risen from 25.4 percent to 42.4 percent, as the Irish economic activity metrics have become increasingly removed from the reality of actual production and supply of goods and services.

Billions in taxpayers' spending on promoting Irish indigenous enterprises and entrepreneurship over the years have seen multinationals' share of the Irish economy growing threefold between 1995 and 2018.


Source: https://www.cso.ie/en/releasesandpublications/er/gvafm/grossvalueaddedforforeign-ownedmultinationalenterprisesandothersectorsannualresultsfor2018/?utm_source=email&utm_medium=email&utm_campaign=Gross%20Value%20Added%202018%20Results

20/8/19: Public Spending in the Euro Area: Post-Crisis Austerity?

Given the never-ending repetition of the 'austerity narrative' in European economic analysis, it is virtually impossible to conclusively address the issue of changes in public spending during the crisis and the post-crisis periods and the relationship between fiscal policies and economic growth. Thew reason for this is the lack of singular set metrics that can capture these dimensions of the debate.

However, this lack should not be a reason for not trying.

Here is an interesting chart (based on the IMF WEO data and 2019 forecasts), plotting average Government expenditure as a share of GDP for two periods for euro area economies. The two periods under consideration are: 2000-2007 and 2013-2019. I am also showing two metrics for Ireland: the GDP (a measure of economic activity that vastly overstates the true extent of national economic activity) and GNI* (an official Irish Government metric of national economic activity). Note: using 2014-2019 average paint effectively the same picture.

The picture is worrying. Thirteen out of nineteen euro area economies have witnessed a rise in Government spending as a share of GDP in post-crisis period compared to pre-crisis period, two experienced virtually no change, and four experienced declines. In other words, based on the ratio of Government spending to economic activity, only four states exhibit a clear case of 'austerity'.

Ireland is an interesting outlier to the picture (hence, reporting of GNI* metric): based on GDP measure, Ireland's Government spending as a share of GDP averaged 32.85 percent per annum in 2000-2007, and this fell to 30.32 percent in 2013-2019 - an austerity gap of 2.53 percentage points per annum. But based on GNI* measure, Ireland's Government spending rose from 38.69 percent in pre-crisis years to 45.51 percent in post-crisis period - an expansion gap of 6.82 percentage points.

Overall, using the above metric, top austerity countries in the euro area are:

• Malta (gap of -4.86 percent)
• Ireland (GDP gap of -2.53 percent)
• Germany (gap of -2.227 percent)
• Austria (gap of -1.311 percent)

Top fiscal expansion countries are:

• Finland (7.514 percent)
• Ireland (GNI* gap of 6.822 percent)
• Spain (4.3 percent)
• Estonia (4.26 percent)

19/8/19: Import Zamescheniye: Replacing Imports with Imports in the Age of Trade Wars

Trump trade wars have led to increasing evidence of substitution by Chinese exporters to the U.S. with exports via third countries and supply chain outsourcing from China to other destinations. While direct evidence of these trends is yet to be provided (data lags are substantial for detailed flows of goods across borders) and is never to be treated as fully conclusive (due to differences in trade goods designations), here is some macro-level snapshot of latest data on U.S. imports shares for selective countries:

The chart above shows that based on trends, U.S. imports arrivals from China are down in 2017-2019, and they are up, significantly for Vietnam and Taiwan, with less pronounced evidence of imports substitution from other Asia-Pacific countries.

Given several caveats (listed below), the above chart is a 'messy' one:

1. Supply chain substitution takes time and may not be fully reflected in the 2018 data, or to a lesser extent, in 2019 data to-date; and
2. The above chart is based on monthly frequency data, which is volatilion (e to begin with.

With these caveats in mind, here is a chart based on annualized data:

Now, it is easier to spot the trends:

• China exports to the U.S. are down, sharply, especially considering pre-Trade Wars averages against Trade Wars period 2019 averages;
• Vietnam, Taiwan and Mexico are major channels for trade/import substitution (using Kremlin's term "import zamescheniye").
• Japan and Thailand are smaller-scale winners.
• Malaysia and Indonesia are basically static.

Now, historically, China has been beefing up its corporates' use of Vietnam, Thailand, and Mexico as platforms for supply chain diversification, which is consistent with the data responses to the Trade Wars. Indonesia and Malaysia are two surprises in this, although both experienced uptick in FDI from China in late 2018, so the data might not be showing these investments, yet.

18/8/19: Migration Policy vs the Law of Unintended Consequences

President Trump's policies are a rich field for sowing evidence on the application of the law of unintended consequence in economic policies. Take his Trade War with China that so far resulted in ca USD20 billion in fiscal receipts and USD26 billion payouts in subsidies to U.S. farmers, netting a fiscal loss of USD 6 billion (https://trueeconomics.blogspot.com/2019/06/17619-lose-lose-and-lose-some-more.html), while generating gains for European exporters (https://trueeconomics.blogspot.com/2019/08/15819-winning-trade-wars-round-3.html) and shrinking net real exports for the U.S. economy (https://trueeconomics.blogspot.com/2019/08/1919-losin-spectacularly-trump-trade.html) and driving losses to the U.S. exporters (https://trueeconomics.blogspot.com/2019/07/31719-fed-rate-cut-wont-move-needle-on.html). Another example, the never-ending rhetorical and regulatory war against skilled (and other) migration.

On the latter, we have plenty of evidence drawn from Mr. Trump's predecessors that conclusively shows the costs of severely restrictive application of the skills-based migration quotas. And, thanks to Mayda, A M, F Ortega, G Peri, K Shih, and C Sparber 2017 paper, titled “The Effect of the H-1B Quota on Employment and Selection of Foreign-Born Labor” (NBER Working Paper No. w23902, https://www.nber.org/papers/w23902.pdf), we now have an in-depth analysis of the mechanics by which unintended consequences of restricting skilled migration impose these economic losses on the U.S.

The authors looked at how changes in H-1B policy, enacted over the years, affect the characteristics of migrants entering the U.S. and how these changes alter U.S.-wide productivity and wages.

Per authors, "The economic intuition [behind the study] is simple. Firms across the globe compete to hire highly skilled workers. The strict quota and the lottery allocation generate uncertainty in acquiring the legal right to work in the US even after securing a job offer. Hence, talented foreign nationals might elect to work elsewhere. Similarly, US firms face uncertainty over whether they will be allowed to employ the top job candidates they have identified. Some firms might elect to forgo this uncertainty altogether by turning to alternative labour sources."

"First, we examine H-1B quality. ... ...H-1B restrictions have particularly hindered the employment of the highest ability foreign-born workers. Anyone who believes immigration policy should be designed to attract ‘the best and brightest’ workers to the country should be troubled by the discovery that restrictions to aggregate inflows generate the opposite effect. Quantitatively, the number of new H-1B workers from the highest wage quintile is nearly 50% lower than it would have been in the absence of H-1B restrictions, but the number of new H-1B workers in the median wage quintile is unchanged." In other words, if wages are a proxy for talent, skills and productivity, reducing H1B quotas appears to reduce availability of more skilled, more talented and more productive foreign workers, while having zero impact on availability of mid-range skills, talents and productivity workers.

Worse, reduced H1B quotas also increased concentration of H1B attaining firms (or reduced the pool of employers with a meaningful access to H1B workers). Authors conclude that "It is possible that when faced with the uncertainty and costs of the H-1B hiring process, economies of scale and network externalities arise that favour firms specialising in H-1B employment and workers with specialised knowledge about the legal hiring process." Or put differently, H1B quotas restriction may be fuelling increase in the share of foreign talent brought into the U.S. by outsourcing agencies and a handful of very larger employers. This selection bias does not appear to be linked to higher productivity and is, therefore, welfare reducing as compared to a system where firms that can generate higher productivity increases by employing foreign workers gain better access to H1B via markets.

In summary, "we presume that by reducing the H-1B cap from 195,000 in 2001-2003 to 85,000 today, policymakers intended to reduce new H-1B employment at for-profit firms and possibly increase employment of competing US-born workers. The policy achieved the first but not the second goal. Moreover, the cap restriction also generated consequences that were likely unintended. The policy change has particularly deterred workers with the highest earnings potential from entering the US labour market. Given the potential for productivity-enhancing technological gains generated by H-1B workers, this loss could reverberate throughout the economy. Other important effects are distributional and favour computer-related occupations and firms that use the H-1B programme heavily."

Consequences. A lesson for MAGA crowd from their predecessors.

16/8/19: Post-Millennials and the falling trust in institutions of coercion

A neat chart from Pew Research highlighting shifting demographics behind the changing trends in the U.S. public trust in core institutions:

Source: https://www.people-press.org/2019/07/22/how-americans-see-problems-of-trust/

Overall, the generational shift is in the direction of younger GenZ putting more trust in scientists and academics, as well as journalists, compared to previous generations; and less trust in military, police, religious leaders and business leaders. Notably, elected officials have pretty much low trust across all three key demographics.