What is up with Elsevier?

Whether you like it or not, Elsevier matters in the dissemination of research in Economics. By far the largest player in the field, it enjoys considerable market power (and a profit margin around 30% that comes with it). And even though journals are not at the frontier of research in Economics, it still matters what happens at Elsevier because it controls so many of the top field journals.

According to its web page on the global dissemination of research, Elsevier states:

We recognise that access to quality research is vital to the scientific community and beyond. For us this means providing support and the latest tools to maintain the quality and integrity of published scientific literature, achieving the widest dissemination of content, and embracing the opportunities of open access. We will continue to identify access gaps, and work towards ensuring that everyone has access to quality scientific content anytime, anywhere.

These are all nice words, but this is not all what Elsevier practices. First of all, all of the Economics content of Elsevier is gated, and academic libraries have to pay through the nose to let faculty access the content, including their own works. Even errata and retraction notices are gated. There is no open access journal in Economics, and even in other fields where it is available, the cost is prohibitive (usually US$3000, even more with color charges!), which cannot be justified in any reasonable way by hosting costs. Indeed, Elsevier spends considerable resources trying to keep potential readers away, by gating the material for the general public and making it difficult for individuals to buy subscriptions, especially for hard copies. All this management of subscriptions and filtering of web traffic would disappear with open access, making it much cheaper, not more expensive.

But this is not an issue only with Elsevier (Springer is much worse in this respect). Elsevier, with its market power is trying to kill any competition and any initiative that tries to open up the dissemination of research. For example, it was a huge backer of the Research Works Act in the US, which would have prohibited mandates that publicly funded research should be available in open-access repositories. Of course this generated a huge outcry from the scientific community (you know, the one that Elsevier claims to serve) and lead to a call for a boycott. This seems to have been successful, as Elsevier reversed its stance, thereby killing the bill.

Unfortunately, few economists seem to have participated in the boycott, which is probably why Elsevier continues to flaunt the research community with no remorse. For example, it has not updated the listings of its journals for over a year in RePEc, and still vigorously refuses to let RePEc perform citation analysis on its contents. Repeated attempts to get a reaction from Elsevier have unsuccessful from my part. My suspicion is that RePEc is threatening some of the products that Elsevier is pushing (Sciverse, Scopus), and the interest of the research community becomes second fiddle. From what hear, people are deserting the Economics desk at Elsevier, starting with its head, which makes you wonder who is in charge of "the widest dissemination of content."

To understand further what a fine business Elsevier is, here are some of my previous posts:
The evil empire strikes again
The evil empire strikes again (II)
Copyright and the lack of competition in academic publishing
Why I am boycotting Elsevier

When do employers support minimum wages?

Germany does not have minimum wages, but there is currently a renewed debate about their introduction. As collective bargaining is largely handled at the sectoral level, one idea is to adopt sectoral minimum wages, for example by negotiating them within collective bargaining. In some sectors, there is already an informal wage this way, but this could be formalized. Given this idea of sectoral minimum wages, it is of interest to see which sectors would support them.

Ronald Bachmann, Thomas Bauer and Hanna Kröger use a survey of 800 firms in 8 sectors and uncover some interesting patterns. It looks like minimum wages are most supported where they would raise barriers of entry for competitors. This means that agreeing on a minimum wage is getting very close to cartelization. This is a feature of the fact that negotiations are done at the sectoral level. It would lead to a reduction in the number of firms, and likely to a reduction in employment as well, but for a different reason than usual with minimum wages: the cartelization reduces output and thus the labor force required for production. I suspect that if the minimum wage were set nationwide, though, this kind of support would largely vanish.

What is wrong with European central banking: the view from Cyprus

These are times where policy coordination between central banks and fiscal authorities seems to be particularly welcome. For one, monetary policy, which seems to be the only sustained and coherent policy, cannot right the ship beyond the short term, and the short term is shorter than the current crisis. For two, fiscal authorities are completely stuck in political wars exactly at the wrong moment. Upcoming elections in Europe and the United States certainly do not help in that. Central bankers have been rather frustrated with the political climate, yet they are still willing scape goats to deflect the furor of the public about unpopular policies.

But sometimes, enough is enough. One such case has been the open criticism of the central banker of Cyprus, who railed against the ineptitude of its government which has completely ignored his advice. Cyprus may not seem a big deal, yet it is a major banking center that may go down with Greece depending on how things unravel there. And this central banker, whose mandate was not renewed, is also not a nobody, as he was previously a senior official at the Board of Governors of the US Fed.

In probably his last paper while in Cyprus, Athanasios Orphanides summarizes all what is wrong with central banking in Europe (Cyprus is part of the monetary union). He recognizes that banking supervision must be taken much more seriously by central bankers, as the stability mandate that was typically meant for prices and sometimes employment or output is now interpreted to include the financial sector as well. Of course, this implies that central banks need to take more responsibilities in supervising the financial all the way to regulating individual institutions, an authority they do not always have at this point. But foremost, Orphanides argues that the biggest liability is economic governance. This is especially important within a monetary union where several governments need to agree. A more uniform fiscal policy would help tremendously, especially when monetary policy, in its more rudimentary form, is applied uniformly across the union. Worse, problems from fiscal policies that are not sustainable in the long term are magnified in a monetary union. You need rules and you need to adhere to them. Politicians are rather bad at this. Central bankers much better.

Cashless banking in informal economies

We are used now to playing with plastic, yet we still hold cash. The fact is that there are still plenty of occasion where only cash can be used for transactions, either because the amount is very small, or because for some reason the merchant does not want to accept plastic. Not infrequently, it is because of the fear of a paper trail, or rather an electronic trail, or because of some tax avoidance. The fact that plastic money discourages the latter should be seen as beneficial, right?

Victor Olajide thinks that is not necessarily the case when the informal sector is substantial. Taking the example of Nigeria, he points out that if the informal sector cannot use cash anymore, then this could have strong implications for banking, as reserve requirements rely on deposits, and those could go missing. That does not seem to be a major problem to me, as reserve requirements can be changed or redefined. I find more problematic that the Central Bank of Nigeria is pushing for a cashless economy while many of the market participants simply do not have the means to tool up for it. I think there are more important issues to tackle in Nigeria than going cashless.

How did online journals change the economics literature?

Scientific publication is not the same as it was, now that we can easily access the literature over the Internet. No more trips to the library, much fewer waits for interlibrary loans, and no more chasing who took or misplaced the volume in the racks. But did all this change anything in the way we publish our results?

This is what Timo Boppart and Kevin E. Staub study by looking at the diversity of topics covered in journals and how the availability of on-line publication would have changed that. The idea is that on-line publication allows to discover and read more material, and one may in particular stray away from the usual topics. No doubt about that. But I wonder why Boppart and Straub have this focus on journals. After all, working papers is where its at in Economics, and journal readership has not really increased, I believe. The treatment variable is the share of cited articles available on-line the year before publication. This seems so wrong. There is no way it takes only one year from the literature search to the print issue. Not in Economics, where I would say it is a minimum three years, with really rare cases below that. In fact, a good share of mine took more than a year from final acceptance to actual publication. Then, what about working papers? This is what people read, not articles.

The origin of de-unionization in the United States

For better or worse, union are particularly weak in the United States. This was not always so. Why unions declined is not limited to Reaganism which merely accelerated a trend already present in the data. The difficulty is to explain this trend which is for example only present in some other countries and nowhere as pronounced.

Emin Dinlersoz and Jeremy Greenwood explore whether this has to do with the distribution of income, at least in the US. Indeed, over the past century and a half, union membership rates followed an inverted U-shape, while the income share of the top 10% did the opposite. Greenwood and Dinlersoz think that both can be explained by the evolution of skill-biased technical change: basically, while the assembly-line was the main means of production, unskilled labor garnered a higher higher income share and unions were strong, but both decline since as information technology became important. Nice story, but I wonder whether it can apply to more observations (i.e., countries). Also, I wonder whether the timing of events works out. Indeed, the ratio of of unskilled to skilled workers went into a tailspin starting in 1945, while union membership started decreasing only in 1955 and the income distribution started getting more skewed in the 1980's.

The value of human capital

How much is human capital worth? This is an important question when one this about the amount of resources that goes into education, both from public and private funds, as well as the substantial opportunity cost of attending school instead of working. The traditional approach is to compare the labor income of people with different levels of education and then come up with a return on investment or more often a return of one additional year of schooling.

Mark Huggett and Greg Kaplan take a different approach. They consider human capital to be an asset and decompose it into a bond (with fixed return), a stock (with variable return) and a residual. This becomes then a standard asset pricing problem. Then taking the labor income flow as a representation of the dividends from this portfolio, they can infer its composition, and how it changes over time. Using data for US males, it turns out the value of human capital is much lower than previously estimated. This is because the stochastic discount factor covaries negatively with earnings (they take into account capital income as well). Also, the bond component dominates the portfolio, especially for the college educated, which is not surprising given the large variance of income and employment among the less educated. What is more surprising, I think, is that stock market and human capital returns are not correlated. I would have thought that the business cycle would have had a strong impact there.

Do remittances create credit?

Remittances from foreign workers to their families at home are an important source of income in some countries. Whether this is a good solution for the long term is debatable, though, as it may create a dependency. Thus it is important to understand whether these remittances end up not just fueling consumption but build the basis for investment in various forms of capital and future domestic income.

Christian Ambrosius looks at Mexico and finds that receiving remittances is strongly associated with the ownership of a savings account, especially in rural areas. So at least all of the remittances are going into consumption. More interesting is that there is also evidence that it also builds up some borrowing capacity, especially in microfinance banks. Once more, it is not the big financial institutions that seem to be the key to the development of the poorest, but the small institutions that rely on the local social network. And remittances are perfect to finance that.

Why does Angola invest in Portugal?

Standard theory tells us that a country with a low capital endowment, relative to its labor endowment, should have high capital returns and thus should be attracting foreign capital until capital returns are equal at home and abroad. While there is foreign direct investment from the North to the South, it is by far as high as it should be, and capital returns are far from being equalized. There are proposed answers to this puzzle, from mismeasurement to country-specific risk, but that does not explain why there would be foreign direct investment from the South to the North.

Carlos Pestana Barros, Bruno Damásio and João Ricardo Faria look at the case of Angola investing substantially in its former colonial master, Portugal. They build a model of a open economy subject to corruption practices. It is not quite clear to me how this model maps into the linear equation that is estimated (partly because not all equations display in the paper). But at this points, the interesting results is that this FDI is driven by exports and mostly by corruption. One has to understand that corruption in Angola is among the world's highest. For example, there is an unexplained residual in the country's fiscal account that corresponds to about a quarter of its GDP, which is absolutely mind boggling. This corruption is so big that not only does it dry out the FDI flow from Portugal, it reverses it.

Foreclosure crisis: it is not about irrationality and sneaky bankers

Why has there been a foreclosure crisis in the United States? Two popular explanations are that 1) evil mortgage brokers forced people to take mortgages they could not possibly honor, and 2) those taking the mortgages did not understand what they were doing. As an economist who insists on logic and rationality, it is difficult to adopt these points of view, except that a point could be made about perverse incentives in the mortgage industry where the risk is masked and pushed unto unsuspecting people. But were mortgage holders really that stupid to think they would be able to make it? After all, I know several PhD economists who are still underwater, and they do not look stupid to me.

Christopher Foote, Kristopher Gerardi and Paul Willen come to the rescue. They argue that market participants made perfectly rational decisions given the information they had a the time, and in particular given the beliefs they had. The latter turned out to be too optimistic in retrospect though. Foote, Gerardi and Willen come to this conclusion with an interesting data analysis. They draw 12 "facts" that together contradict the popular explanations. Foremost, it does not appear that there is any correlation between exploding mortgage rates and mounting foreclosures. Also, even borrowers with spotty credit have had a remarkably good repayment history. One should thus not conclude that mortgages were designed to fail. Furthermore, all the instruments and innovations in the mortgage industry were introduced well before the past decade, and there was no significant regulatory change. Market participants knew what they were doing, had plenty of information and understood the risks. They were too optimistic though. Finally, no top-rated mortgage-backed security turned out to be toxic. The same cannot be said about similar bond-based securities.

All in all, there was nothing really wrong with the mortgage market apart from being too optimistic. In other words, there was a bubble, which can be a perfectly rational outcome. So there. But we still need to better cope with the eventuality of a bubble.

Put some economics back into spatial econometrics

One of the hot areas for econometric research in recent years has been spatial econometrics. Think of it, at least initially as time series econometrics in a different dimension. One interesting aspect of it is that instead of being single-dimensional like time series, it can be two-dimensional, or even more I guess. This field brings interesting new challenges, and it must be exciting working in this field. However, as too often in econometric theory, research becomes quickly detached from reality, and more specifically from the needs of empiricists. N never goes to infinity, for example.

Luisa Corrado and Bernard Fingleton bring forward another important point. These techniques are used to test economic theories, so one should be able to embed some restrictions from economic theory. It is all nice and sweet when one can find an optimal weighting matrix with the right properties, but it is useless if the found weights cannot be matched with anything one wants to test. The causality goes the wrong way: first determine restrictions from the theory, then use the constraints to find the optimal weighting matrix.

This is not just a theoretical consideration. Spatial lags are crucial in spatial econometrics and are suppose to capture some network effects. But they can also soak up the impact of latent or unobserved variables, as in "regular" econometrics. This can lead to severe miss-specification and biased inference, somethings one is all to familiar with using lags in time series. In fact, one should be downright suspicious of any time-series results that only holds when lagged dependent variables are used. The same must apply to spatial econometrics.

How integrated are Eastern and Western Europe now?

25 years ago, it was very rare to see a car with Eastern European plates in Western Europe. Now, they are all over the place, including trucks (why are there so many from Romania?). This is a clear indication, even if you ignore history, that the East-West integration is stronger than it has been for a long time. But there are more aspects to integration than the movement of cars.

Catherine and Klaus Prettner basically look whether the two regions are cointegrated. They build two national aggregates, one with 12 European Community countries (unfortunately no UK) and 5 Central European countries. Using a vector error-correction model with restrictions from a standard open-economy business-cycle model with cash-in-advance. Output shocks to one area spill over to the other, surprisingly in similar magnitudes in both directions. Interest rate shocks are expectedly asymmetric though: West impacts East, but East does not impact West. But given that all this has been in transition mode over the 1995-2009 sample, I really wonder how these impacts have changed over time. A framework with time varying coefficients would have been helpful here.

Air conditioners on the rebound

The various cash for clunkers programs during the last recession had two objectives in mind: create aggregate demand (or shift it from good to bad times) and improve the stock of capital. In the case of cars, it was expected that this would lower pollution. Other programs outside of recessions have had the same goal, for example subsidies to replace light bulbs or appliances for more energy efficient ones. But it does not always work out as expected.

Lucas Davis, Alan Fuchs and Paul Gertler look at a recent and large appliance renewal initiative in Mexico. A staggering 1.5 million households changed their refrigerator or air condition units for better ones, with again the goal of reducing electricity consumption. But it seems to have backfired for the AC units. Indeed, they seem to have been so much more efficient that people feel less guilty of running them, increasing the total energy consumption in the process. This is called the rebound effect, which has already been discussed here. And once again, nothing beats taxing energy use instead of subsidizing alternative energy, or alternative energy uses.

The impact of recessions on economist productivity

In recessions, those who have the hardest time finding jobs are those who try for the first time. Facing these difficulties, many decide to pursue their studies in graduate school. From this, one should expect future productivity to be higher in the future, because of the higher level of human capital. But for a given level of human capital, labor productivity should be lower post-recession, because the marginal new graduate is of lower quality.

Michael Boehm and Martin Watzinger look at the performance of PhD economists and find that those who studied or graduated during a recession over-perform the others as measured by publication records. That would not surprise me for those who graduated during tough times, as only the best get jobs. Indeed, the study matches those who graduated with those who are still members of the American Economic Association. Thus, there is some selection bias. But for those who start in a recession, and thus would graduate in "normal" times, given the average length of a recession, this is more surprising. Boehm and Watzinger can justify this with the good old Roy model of reallocation of talent: in a recession, people switch to recession proof sectors, and those who can do this the most easily are those who are about to choose in which sector to work: students. As the number of graduate students slots does not change much, at least in Economics, the quality of those admitted is higher, if the admission officers do their work well. As the publication record many years later shows, they do.

Predation, labor share and empirical evidence

When you look at national accounts, one striking fact is that the labor income share is remarkably stable in each country. And the average level of this labor income share varies quite dramatically across countries. These differences vanish to a large extend once you allocate proprietor's income (these are business owners) to labor income and capital income, but some differences remain.

Carlos Bethencourt and Fernando Perera-Tallo try to explain these differences. They build a model where workers can choose to produce or predate. If the labor income share is high, they rather produce, if it is low, predating is more interesting. With an increase in productivity, the labor income share increases, and this amplifies the impact on output as fewer people predate. This mechanism can thus make it easier to explain GDP/capita differences across countries from total factor productivity differences.

But for all this to happen, you need an elasticity of substitution between capital and labor in the production function below one, or the labor income share would not change. Empirical evidence for that is not that compelling though (hence the attractiveness of the Cobb-Douglas production function). And if the elasticity is above one, all results are reversed. But assume it is lower than one for a moment. Then it means that any attempt to improve institutions to make predation less rewarding should improve output. That would be anti-corruption campaigns, for example. Yet, I am not convinced that corruption actually lowers output. As I posted before, the empirical literature is not conclusive on this. And that empirical result would be consistent with the elasticity of substitution being close to one, if this model were not to be rejected.