……the unpitied calamity of being repeatedly caught in the same snare….

If an extend-and-pretend deal is done it will be the third Greek ‘rescue’. Without debt relief it will also be the third to break the IMF rule, adopted after the Argentina failure in 2001, to avoid financing countries with unsustainable debts.

In early 2010 the debt/GDP ratio in Greece was predicted at 115% (it turned out to be 130%), the deficit in double digits and GDP sinking fast. The Fund rewrote its rule-book to get involved in the Troika despite the unwillingness of IMF staff to sign off on debt sustainability. See the account from the CIGI think-tank


The 2012 deal repeated the procedure, this time with haircuts of private creditors.

The Greek economy is again contracting, the budget headed back into serious deficit, the debt ratio headed for 180%. Even with low interest rates and long duration of official debts, no sustainability analysis is likely to look healthy. The bond market, to which Greece must return, agrees.

The IMF cannot credibly repeat the routine of 2010 and 2012 – it does have non-European members after all, and its exposure to Europe is already unacceptable to them. Lagarde, as French Finance minister, opposed Greek debt restructuring in 2010 but there is no guarantee that the IMF board will participate again without haircuts, this time for its European ex-partners. The week could see no deal with Grexit, or Trexit, the end of the Troika.

Ireland in Recovery, Greece in Crisis

Adele Bergin of the ESRI and I made a presentation to a mini-symposium on Austerity: the Irish Experience at UCD last week.  Our analysis points out how wrongheaded it is to suggest, as some have done over the last few days, that if only the Greeks would take their medicine the way we did they might be able to expect an equivalent recovery.  This ignores the huge structural differences between the two economies.

Faced with evaporation of the tax base, jittery markets and a need for concessionary funding, our current government and the previous one did what was required on the fiscal side.  In the language of economics textbooks however, consolidation was necessary but not sufficient for the timing and pace of the recovery.

The first structural difference is the vastly greater openness of the Irish economy.  This cushions the domestic economy to an extent, since imports bear some of the brunt of consolidation.

Irish exports, though they took a hit in the early days of the international crisis, nevertheless propped up the economy in a way that the Greek export sector cannot do, because of the share of exports in the Irish economy, the sectoral pattern of our exports and our portfolio of export destinations.

The fact that Ireland was hugely specialised in goods and services for which international demand remained buoyant massively bolstered the economy.  Pharmaceuticals dominate Irish merchandise exports: pharma increased as a share of total US, UK and eurozone imports from 2000 to date (as shown by Stephen Byrne and Martin  O’Brien in the Central Bank of Ireland Quarterly Bulletin, 02, April 2015). Computer and information services dominate Irish services exports:  these increased as a share of  total US, UK and eurozone imports from 2000 to date.  Agriculture and food dominate indigenous exports:  these increased as a share of  total US, UK and eurozone imports from 2000 to date.

Services comprise an unusually high share of Irish exports.  Since transmission is almost costless, these are less geographically constrained and substantially less dependent on EU and North American markets than is the case for merchandise exports.  In the case of the latter, the MNCs can shift export destinations much more easily than indigenous enterprises can, as reflected in an increased US share as the US recovered earlier from the global crisis.  And Ireland of course benefitted much more than other eurozone economies from the weakening of the euro against the dollar and sterling over recent years.

Jobs in export production began to recover rapidly from 2009, driven by labour-intensive indigenous manufacturing exports and by the growth of both indigenous and foreign-affiliate services exports.  Ireland’s export-led recovery then fed into domestic demand.

It would be impossible for Greece to replicate this pattern.

And by way of footnote:  Even though it’s true that most Irish exports are produced by the foreign-owned multinational (MNC) sector, and that any €1 million of these exports creates less domestic value-added than €1 million of indigenous exports, a different perspective emerges when you look at backward linkages per job.  These are particularly impressive in the case of the rapidly growing MNC-services sector.

Bank Runs as end runs for policy?

The Greek Finance Minister appeals directly to Ireland in the IT here, while on Medium, Karl Whelan puts the blame for the calamitous situation on the official response of the Troika in 2010.

A serious question we do need to answer: are bank runs, or the potential for bank runs, becoming the ultimate backstop in a currency union comprised of creditor and debtor nations?

In the end the Oireachtas banking inquiry is unearthing the powerful narrative threat of the ‘ATMs running dry’ as driving much of the decision to deliver the 2008 guarantee, Cyprus had a bank run precipitate its crisis, at least partially. Iceland had the same experience, and we all know what is happening to Greek deposits right now, ELA or not.


A general practitioner’s perspective on the guest blog by Dr Kevin Denny

Dr William Behan, co-author of “Does Eliminating Fees at Point of Access Affect Irish General Practice Attendance Rates in the Under 6 Years Old Population? A Cross Sectional Study at Six General Practices”

You can download a .pdf of this blog post with references here. 

Most of the state sponsored; CSO or university department generated statistics on general practice utilisation since 2001 have been based on surveys employing 1 year recollection. Dr. Denny uses Growing Up in Ireland (GUI) the largest database available for the purpose of determining the marginal effect of granting private under 6s patients medical cards. Intuitively this makes sense……or does it when the potential biases of that particular survey data are explored?

We really have to examine biases in statistics collection to determine what is more likely.

Continue reading “A general practitioner’s perspective on the guest blog by Dr Kevin Denny”

On the possible effects of free GP care for under 6’s.

(This is a guest post by Dr Kevin Denny of the School of Economics & Geary Institute, UCD).

The extension of free GP care to under 6’s has raised the issue of what the effect will be on GPs’ practices. Understandably they are concerned about the increased demand on a sector that appears to be under strain. I am not aware of any specific research for this age group (mea culpa if I have missed it).

There are several studies for the general populations (various convex combinations of Anne Nolan, Brian Nolan & David Madden). I heard a very interesting recent interview on TodayFM with a GP Ciara Kelly. In the course of this, she said that children with medical cards visit a doctor 6 times a year while those without visited twice. From this she inferred that the new scheme would triple the demand of those currently without free care.A GP that I was once on a radio panel with said something very similar. I don’t know the origins of these numbers. However the average difference between the two groups is not relevant here: you need to know the marginal effect. Children currently without medical cards are different from those with: on average they are, inter alia, healthier and wealthier.

Estimates from other countries are not informative. I searched in vain for a government document that discussed this. We now have very good data in the form of the Growing Up in Ireland study. Here I report some estimates of what the effect of the reform might be. I use the second wave of the infant cohort – the three year olds who should be reasonably representative of the 0-5 age range. As dependent variable I use the question on “Number of times seen or talked with a general practitioner in the last 12 months”. This is top-coded at 20 but there are very few in that category. The variable of interest is whether they are covered by a medical card. I combine GP-only and the full medical card for simplicity.

I have a long list of controls which covers the usual suspects. They include health of the child and mother, income, education and other demographics. I also have a variable that indicated whether their GP visits are covered by private health insurance. Changes to the controls do not make much difference.

There are numerous ways of estimating such models and I used three. For the cognoscenti these are poisson & neg-bin2 regressions and a finite mixture of poissons. The marginal effects are very similar as is often the case. Before we consider those, what is the average difference in the data? In the GUI the population weighted mean of doctor visits for children covered and not-covered by medical cards is: 3.13 and 2.18 respectively. This is very different from the 6 and 2 mentioned above, the source of which I don’t know.

The marginal effects for the different models vary between 0.632 and 0.713, less than the average difference (as you would expect) and a lot less than the difference of 4 mentioned above. For simplicity I will take 0.68 as a ballpark value. So giving free GP care for under 6’s should increase the number of GP visits per child by less than one per annum. We are assuming homogenous effects: you could generalize this to allow the effects differ in various ways. The marginal effect of having private insurance is about 0.34. Since these are probably the better-off of non-medical card holders, this suggests that 0.68 is on the high side i.e. the effect on the kids of the rich of free GP care is probably lower, if anything.

I also estimated the model using the child cohort (the 9 year olds) for whom the marginal effect is about 0.33 incidentally. Estimates for adults tend to be in the 1-2 visits per annum range. So what might this mean in practice? The maximum number of children who could be covered by the present reform is about 270,000. Multiply by 0.68 & this suggests an extra ~183,600 GP visits a year. There are around 2,500 GPs in Ireland so this is about 73.5 visits a year each. If they work on average 47 weeks a year this would mean about 1.56 extra visits a week from the under-6’s for a GP. It would be interesting to know how much of a GP’s time this is likely to require.

The mean is not the only parameter in town. For doctors whose patients are already covered there will be little or no difference. Doctors in more affluent areas will likely bear the brunt. Doubtless there are additional complications.

For example, not all GP’s will sign up. I am ignoring general equilibrium effects, such as any ensuing change in the number of GPs. Perhaps the main known unknown is the labour supply responses of GPs to a switch from a per-visit fee to a capitation grant which encourages them to take on patients but spend as little time as possible with them. Extrapolation is difficult, especially about the unknown.

I don’t mean to suggest that my estimates are best, I can’t explore every possibility in a blog post. I think they are credible though. Readers may have better knowledge of some of these parameters.

A file with the full results is available at http://tinyurl.com/p9cu8ax

African Demographic Trends and European Policy Responses

The Demographic Transition, which started in Europe in the late 18th century, had a huge positive impact on average human welfare. Population levels and growth rates became dependent upon societal preferences rather than upon famine and disease. The demographic transition has now spread around the world to all continents, except Africa. Surprisingly, Africa has not made the switch. Rather than seeing population growth easing and then stopping, in a typical post-demographic transition pattern, African population growth rates have stayed at a very high rate for many decades. Even in recent years, while many demographers expected a slowdown finally to take hold, African population levels have rocketed up. So for example, from the National Geographic: Continue reading “African Demographic Trends and European Policy Responses”