… according to
- PredictWise: Strongly rising, at 25%+.
- Tyler Cowen: Ditto, 25%.
… according to
On Econofact, Daniel Bergstresser provides background information on Puerto Rico’s debt crisis. From his text:
In the NZZ, reports about the developing regulatory framework for fintechs in Switzerland. A proposal by the federal finance department drew—reasonable—criticism by various lobbies and industry associations, including the CFA Society Switzerland.
Die CFA Society Switzerland will das systemrelevante Bankensystem von anderen Finanzdienstleistern trennen. Dafür sei eine präzisere Bankendefinition nötig, als sie heute vorgenommen werde. Nur Banken sollen demnach dem Bankengesetz unterstehen. Finanzdienstleister, die kein traditionelles Bankengeschäft betreiben und keine Liquiditätsrisiken eingehen, sollen einem anderen Regulierungsmodell unterstehen. Dabei sollen je nach Tätigkeit unterschiedliche funktionale Lizenzen zum Zuge kommen – dieser letzte Punkt wird von vielen Vernehmlassungsteilnehmern ebenfalls eingefordert.
Schliesslich identifiziert die CFA Society Switzerland auch zentrale Fintech-Themen, die in der Vernehmlassung aussen vor gelassen wurden. Eine dieser Lücken sei der direkte Zugang zur Schweizerischen Nationalbank (SNB). Aus heutiger Sicht sei nicht ersichtlich, weshalb nur Banken elektronisches Zentralbankgeld halten dürften. Auf Anfrage wollte die SNB zu dieser Forderung keine Stellung nehmen. Andere Zentralbanken wie die Bank of England zeigen sich solchen Ideen gegenüber derweil aufgeschlossen. Auch einzelne Schweizer Ökonomen wie beispielsweise Dirk Niepelt stehen allgemein zugänglichem elektronischem Notenbankgeld positiv gegenüber.
Link to my article mentioned above.
On his blog, JP Koning provides an account of recent monetary policy in Zimbabwe:
On Science of Us, Seth Stephens-Davidowitz reports about predictors of loan repayment choices.
… language that potential borrowers use is a strong predictor of their probability of paying back. And it is an important indicator even if you control for other relevant information lenders were able to obtain about those potential borrowers, including credit ratings and income. …
Here are the phrases used in loan applications by people most likely to pay them back: debt-free, lower interest rate, after-tax, minimum payment, graduate.
And here are the phrases used by those least likely to pay back their loans: God, promise, will pay, thank you, hospital.
On A Fine Theorem, Kevin Bryan reviews Baumol’s work, including on innovation and the cost disease.
The Economist reported about the history of central banks and their independence. One snippet:
Typically, Richard Nixon took the bullying furthest, leaking a false story that Arthur Burns, Martin’s successor, was demanding a 50% pay rise. Attacked by the press, Burns retreated from his desire to raise interest rates.
Information from the Swiss Federal Social Insurance Office on the social insurance system in Switzerland:
The Swiss National Bank held its annual general meeting of shareholders (web TV). In response to one of the questions posed by shareholders Thomas Jordan suggested (2:58–2:59) that possibly a digital Swiss Franc might be introduced sometime in the future.
In a VoxEU eBook, Refet Gürkaynak and Cédric Tille collect the views of central bank and academic economists on DSGE models. In the introduction to the eBook, Gürkaynak and Tille summarize these views as follows:
… there is agreement on the place of DSGE models in policy analysis. All see these models as part of the policymaker tool kit, while understanding their limitations and perceiving a similar road ahead.
In its April 2017 Quarterly Report, the Deutsche Bundesbank discusses the role of banks in the creation of money. Findings from a wavelet analysis indicate that in Germany, money and credit move in parallel in the long run.
In an appendix, the report mentions possible welfare costs of curbing maturity transformation, with reference to Diamond and Dybvig’s work. This is not convincing. Unlike in the typical (microeconomic) banking model, aggregate central bank provided money need not be scarce, so there is no a priori social need for the private sector to create money.
In a Peterson Institute working paper, Jeromin Zettelmeyer, Eike Kreplin, and Ugo Panizza conclude that the answer to that question depends on your assumptions.
The authors compare several scenarios, including
They assume that interest rates on privately held debt rise with the debt-to-GDP ratio, and they use two “sustainability” metrics: The debt-to-GDP ratio (should fall), and gross financing needs as a share of GDP (should be smaller than 20%).
When running Monte Carlos simulations, the authors find that for each scenario, the assumptions about growth and primary surpluses are consistent with the conclusions drawn by the different institutions:
The authors then evaluate the plausibility of the scenario assumptions. They conclude that “international evidence does not support an adjustment path that envisages a primary surplus of above 3.5 percent for more than three to four years on a continuous basis and for more than seven years on an average basis” rendering B and C the most plausible scenarios, and suggesting that the debt is “unsustainable.”
In reaching their conclusions, the authors assume that primary surpluses in Greece will react to debt, inflation, and growth in line with the experience in other (developed) economies. (This means, for example, that surpluses rise as the debt burden increases, which seems to contradict the notion of debt overhang.) This is unconvincing, of course, if one takes the view underlying scenario D which presumes that feasible promises are kept. Or stated differently: Greece might well be able but not willing to pay—after all, in this very case official creditor intervention could have made sense in the first place although private lenders charged high interest rates. (With Harris Dellas, we make this argument precise in a paper in the Journal of International Economics.) Related, one can think of many reasons why the historical experience in other countries may be uninformative for the Greek case. The authors address one concern: They focus on episodes with very high debt-to-GDP ratios and find that in these cases, primary surpluses are maintained for longer. Moreover, there is the important question of measurement: The Greek debt-to-GDP ratio is not easily comparable with the ratio in other countries, see here and here, and most likely overstated.
Zettelmeyer, Kreplin, and Panizza make the case for a delay of Greece’s return to capital markets. In the conclusions, they write that
the debt relief measures put on the table by the Eurogroup in May 2016 could be sufficient to restore debt sustainability, but only if these measures are taken to an extreme. This means accepting an extremely long maturity extension of EFSF debts. In addition, it requires either substantial additional interest rate deferrals, or locking in significantly lower funding costs and hence lower interest rates than the EFSF currently expects, or a combination of both. While these measures are feasible within the red lines described by the Eurogroup, they are likely to be politically and/or technically difficult. Unless the EFSF manages to eke out substantial extra interest relief through creative long-term funding operations, its exposure to Greece will likely have to rise, possibly for decades, before it starts falling. A private sector creditor would not accept this type of restructuring because it gives the debtor country a strong incentive to default (or at least renegotiate) when the debt is at its peak.
… one way out of this dilemma would be to delay Greece’s return to capital markets, continuing to finance Greece through ESM programs until its private sector spreads are much lower than they are now. … this approach would lower the total need for debt relief and/or fiscal effort required to restore Greece to debt sustainability. While it would lead to a significant increase in official creditor exposure to Greece—requiring perhaps €100 billion of extra ESM financing—this is less than the rise in EFSF exposure that would be required in the Eurogroup’s approach, which aims to return Greece to private capital markets in 2018 while relying mainly on EFSF maturity extensions and interest rate deferrals … total official exposure to Greece would decline faster if ESM financing were to continue than if it were to end in 2018.
Importantly, they also point to the incentive effects of debt restructuring:
If [the threat of Grexit is essential to maintain incentives for reform] keeping the sword of Grexit … would help reduce debt levels only so long as Greece is being financed with cheap official funds. If, however, Greece returns to capital markets, any beneficial incentives of this approach would likely be offset by the risk premiums that private lenders would charge to a country whose euro membership remains at risk.
The official creditors will have to make up their minds: Not only the return on their lending is at stake, but also reform in Greece.
On VoxEU, Peter Lindert summarizes his recent work on long-term international comparisons of living standards. Lindert compares nominal incomes per capita, deflated by historical prices (for staple goods). He makes five points:
The real income gap between Northwest Europe and the major Asian countries was greater since the 1500s than even Maddison had estimated.
Contrary to all previous estimates, Mughal India around 1600 was already far behind both Japan and Northwest Europe.
Within Europe, the new estimation procedure shows little bias in Maddison’s estimates.
Average incomes in North America were already higher than in Britain or France in the late 17th century, long before Maddison’s c.1900 catching up date for the US versus Britain. A similar ‘frontier advantage’ has now emerged from estimates for Australia in 1870.
Adding what is known about the ability to buy luxuries and capital goods raises the income of Western Europe relative to all other regions, except possibly resource-rich North America.
On VoxEU, Steven Durlauf offers an excellent overview over Kenneth Arrow’s work. Durlauf emphasizes five areas of research:
Durlauf closes:
Like Faust, limitless curiosity and passion for knowledge meant that Arrow strove without relenting; but unlike Faust, Arrow needed no redemption. His intellectual integrity was pristine and unparalleled at every stage of his life. His character was as admirable and admired as his intellect. Arrow’s personal and scholarly example continues to inspire, nurture, and challenge.
From the European Council on Foreign Relations, Mark Galeotti reports about ties between Russian criminal networks and the Kremlin. From the summary:
The Russian state is highly criminalised, and the interpenetration of the criminal ‘underworld’ and the political ‘upperworld’ has led the regime to use criminals from time to time as instruments of its rule.
Russian-based organised crime groups in Europe have been used for a variety of purposes, including as sources of ‘black cash’, to launch cyber attacks, to wield political influence, to traffic people and goods, and even to carry out targeted assassinations on behalf of the Kremlin.
Out The Front Door predicts a shelter dog shortage in the US. But prices will adjust.
In the New York Times, Greg Mankiw applauds the tax reform plan discussed in Congress. He emphasizes four points:
In an interview with the NZZ, Christoph Schaltegger argues that Swiss cantons loose revenue when new firms move in, due to badly structured inter cantonal revenue sharing (Finanzausgleich).
On their “Quantitative Economics” website, Thomas Sargent and John Stachurski offer great introductions to the Python and Julia programming languages.
The Swiss National Bank has updated its exchange rate indices. In an SNB Economic Studies paper, Robert Müller describes how. The upshot is that the SNB considers the Swiss Franc slightly less overvalued than before. From the abstract:
The key aspects of the revision are: the application of the weighting method used by the IMF, which takes into account so-called third-market effects; continuous updating of the countries incorporated into the index; and calculation of a chained index. The methodological changes in the calculation of the new index have only a slight effect on the development of the nominal index. However, the difference between the nominal and real index (CPI-based) has increased with the new calculation. This is explained by the fact that countries with a greater weighting in the new index have higher average rates of inflation than those whose weighting has been reduced.
In a paper, Ricardo Reis defends macroeconomics against various critiques. He concludes:
I have argued that while there is much that is wrong with macroeconomics today, most critiques of the state of macroeconomics are off target. Current macroeconomic research is not mindless DSGE modeling filled with ridiculous assumptions and oblivious of data. Rather, young macroeconomists are doing vibrant, varied, and exciting work, getting jobs, and being published. Macroeconomics informs economic policy only moderately and not more nor all that differently than other fields in economics. Monetary policy has benefitted significantly from this advice in keeping inflation under control and preventing a new Great Depression. Macroeconomic forecasts perform poorly in absolute terms and given the size of the challenge probably always will. But relative to the level of aggregation, the time horizon, and the amount of funding, they are not so obviously worst than those in other fields. What is most wrong with macroeconomics today is perhaps that there is too little discussion of which models to teach and too little investment in graduate-level textbooks.
In the Journal of Economic Literature, Ariel Rubinstein discusses Dani Rodrik’s “superb” book “Economics Rules.” The article nicely articulates what economics and specifically, economic modeling is about. Some quotes (emphasis my own) …
… on the nature of economics:
[A] quote … by John Maynard Keynes to Roy Harrod in 1938: “It seems to me that economics is a branch of logic, a way of thinking”; “Economics is a science of thinking in terms of models joined to the art of choosing models which are relevant to the contemporary world.”
[Rodrik] … declares: “Models make economics a science” … He rejects … the … common justification given by economists for calling economics a science: “It’s a science because we work with the scientific method: we build hypotheses and then test them. When a theory fails the test, we discard it and either replace it or come up with an improved version.” Dani’s response: “This is a nice story, but it bears little relationship to what economists do in practice …”
… on models, forecasts, and tests:
A good model is, for me, a good story about an interaction between human beings …
A story is not a tool for making predictions. At best, it can help us realize that a particular outcome is possible or that some element might be critical in obtaining a particular result. … Personally, I don’t have any urge to predict anything. I dread the moment (which will hopefully never arrive) when academics, and therefore also governments and corporations, will be able to predict human behavior with any accuracy.
A story is not meant to be “useful” in the sense that most people use the word. I view economics as useful in the sense that Chekhov’s stories are useful—it inspires new ideas and clarifies situations and concepts. … [Rodrik] is aware … “Mischief occurs when economists begin to treat a model as the model. Then the narrative takes on a life of its own and becomes dislodged from the setting that produced it. It turns into an all-purpose explanation that obscures alternative, and potentially more useful, story lines”.
A story is not testable. But when we read a story, we ask ourselves whether it has any connection to reality. In doing so, we are essentially trying to assess whether the basic scenario of the story is a reasonable one, rather than whether the end of the story rings true. … Similarly, … testing an economic model should be focused on its assumptions, rather than its predictions. On this point, I am in agreement with Economics Rules: “. . . what matters to the empirical relevance of a model is the realism of its critical assumptions”.
… on facts:
The big “problem” with interpreting data collected from experiments, whether in the field or in the lab, is that the researchers themselves are subject to the profession’s incentive system. The standard statistical tests capture some aspects of randomness in the results, but not the uncertainty regarding such things as the purity of the experiment, the procedure used to collect the data, the reliability of the researchers, and the differences in how the experiment was perceived between the researcher and the subjects. These problems, whether they are the result of intentional sleight of hand or the natural tendency of researchers to ignore inconvenient data, make me somewhat skeptical about “economic facts.”
In a CEPR Discussion Paper, Sascha Becker, Thiemo Fetzer, and Dennis Novy argue that education and income mainly explain voting outcomes. In the abstract of their paper, the authors write:
We find that exposure to the EU in terms of immigration and trade provides relatively little explanatory power for the referendum vote. Instead, … fundamental characteristics of the voting population were key drivers of the Vote Leave share, in particular their education profiles, their historical dependence on manufacturing employment as well as low income and high unemployment. … within cities, we find that areas with deprivation in terms of education, income and employment were more likely to vote Leave.
In the FT blog, Peter Doyle emphasizes the importance of independent fiscal watchdogs.
In December 2016, the Swiss Federal Council concluded that in international comparison, government support for the Swiss agricultural sector is very high. But critics point out that the government report might understate the social cost of government support. In a separate study the lobby group `Vision Landwirtschaft’ had presented estimates according to which the Swiss agricultural sector adds negative value, on the order of 1 billion CHF per year.
NZZ reports by Désirée Föry: February 9, 2017 and April 2, 2017.