Must-Read: Scott Sumner: Who Is Peter Navarro?

Must-Read:: Scott Sumner is surprised at how unprofessional Peter Navarro of U.C. Irvine is. So am I. I had always thought of him as interesting but flaky–but here it looks as though he does not even know that he has homework to do:

Scott Sumner: Who Is Peter Navarro?:

Tyler Cowen linked to a paper by Peter Navarro…. It’s a complete mess…

Here are just a few examples:

Under WTO rules, any foreign company that manufactures domestically and exports goods to America (or elsewhere) receives a rebate on the VAT it has paid…. turn[ing] the VAT into an… export subsidy. At the same time, the VAT is imposed on all goods that are imported… turn[ing] the VAT into an implicit tariff on US exporters…. Thus, under the WTO system, American corporations suffer a “triple whammy”: foreign exports into the US market get VAT relief, US exports into foreign markets must pay the VAT, and US exporters get no relief on any US income taxes paid… giv[ing] our major trading partners a 15% to 25% unfair tax advantage in international transactions.

This is a very basic error…. A VAT is neutral with respect to trade. An across the board 10% import tax, combined with a 10% export subsidy… convert the tax from a production tax to a consumption tax.. that applies equally to all goods, whether made domestically, or imported. This is not even a tiny bit controversial.

What’s the optimal tax for capital income?

The Internal Revenue Service Building, Wednesday, Aug. 19, 2015, in Washington.

How much should U.S. policymakers tax capital? It’s not a simple question. In fact, for some time there was a debate within the economics profession as to whether there should be a tax at all. A famous result from the Chamley-Judd model and other results led many economists to believe that the optimal tax rate on capital income was zero. The argument by these economists was that placing any tax on capital gains from investments would be incredibly distortionary and would come at a major cost to the overall efficiency of the economy.

Recent research, however, shows that changing the (in some cases very unrealistic) assumptions underpinning these earlier models pointing to a zero optimal tax rate result in findings that there is a positive optimal tax rate on capital. A new paper might help policymakers understand this new way of thinking about taxing capital.

The new working paper from the National Bureau of Economic Research is by University of California-Berkeley economist Emmanuel Saez and Harvard University economist Stefanie Stantcheva. In their paper, they try to do for capital taxation what economists have done for labor income taxation: build a simple model of optimal taxation. More specifically they are using a “sufficient statistics” approach, which allows them to feed a few specific parameters derived from empirical papers into a model to help get a broader understanding of the U.S. economy.

First, the two economists build a model of the economy in which people aren’t going to live forever and don’t have perfect foresight—two obviously unrealistic assumptions in the prior models. That plus the new assumption they add to their model—that people like wealth for wealth’s sake, not just as a way to fund consumption—results in people who won’t stop saving as soon as capital is taxed. This is important as the prevailing view among economists who believe in an optimal zero tax rate is that higher tax rates result in very large changes in savings.

Saez and Stantcheva find that the three “sufficient statistics” for determining the optimal tax on capital are:

  • How readily savings will respond to a change to the rate of return after taxes
  • How unequal is the distribution of capital income
  • How society views wealth

Feeding data from U.S. tax returns into their model, Saez and Stantcheva find that the optimal capital income tax rate is definitely higher than zero.

In fact, it appears that the optimal capital income tax rate is higher than the labor income tax rate. If individuals are equally likely to change how much they work or how much they save due to a change in taxes, then capital income will always have a higher optimal rate than labor income. That’s because capital income is much more unequally distributed. Saez and Stantcheva also point out that the tax rate on capital income will increase if people think that wealth inequality is unfair and want to redistribute to those with less wealth.

The question posed at the very beginning of this article still stands. As useful as Saez and Stantcheva’s simpler model may be, it’s just part of a broader conversation about whether and how to tax capital and at what levels.

Beating America’s Health-Care Monopolists: Fresh at Project Syndicate

J. Bradford DeLong and Michael M. DeLong: Beating America’s Health-Care Monopolists: BERKELEY – The United States’ Affordable Care Act (ACA), President Barack Obama’s signature 2010 health-care reform, has significantly increased the need for effective antitrust enforcement in health-insurance markets. Despite recent good news on this front, the odds remain stacked against consumers.

As Berkeley economics professor Aaron Edlin has pointed out, consumer abstention is the ultimate competitor. Companies cannot purchase or contrive a solution to consumers who say, “I’m just not going to buy this.” But the ACA requires individuals to purchase health insurance, thus creating a vertical demand curve for potential monopolists. Under these conditions, profits – and consumer abuse – can be maximized through collusion. Read MOAR at Project Syndicate

Must-Read: Hans-Werner Sinn: Secular Stagnation or Self-Inflicted Malaise?

Must-Read: WTF!?!? Hans-Werner Sinn appears simply to have failed to understand what the modern “secular stagnation” argument is. The facts that a very large credit bubble in the mid-2000s did not produce a high-pressure rising-inflation economy and that ultra-low interest rates today do not produce full recover are arguments for the secular stagnation hypothesis, not against it:

Hans-Werner Sinn: Secular Stagnation or Self-Inflicted Malaise?:

Some economists believe that this is evidence of “secular stagnation”….

The natural real interest rate has continued to fall. Stabilizing the economy thus is possible only by an equivalent decline in policy interest rates.In view of the huge credit bubble that preceded the crisis in Japan, the United States, and southern Europe, and the aggressive policies pursued by central banks over the last few years, I doubt that this theory is correct…

All work and no pay for many women around the globe

A young woman entering the job market today anywhere around the globe can expect to work on average four years more than her male counterpart over a lifetime, according to a new report by the U.K.-based anti-poverty organization ActionAid. The report, presented at the United Nations General Assembly last week, points out that women’s extra labor is not necessarily driven by logging more hours of paid employment. The bulk of the extra labor—an average of one month per year globally—is unpaid work such as caring for children and elderly or performing domestic duties.

This unpaid work is essential to any nation’s economy’s ability to function. Throughout history, nonemployed women tended to be responsible for domestic duties and round-the-clock care of family members, rendering their value invisible in an economic system where work is predominantly measured in wages. Today, even as more women have entered the paid workforce, the report highlights how the higher burden of domestic duties limits women’s opportunity to earn money, participate in political activities, and take days off.

While wealthier countries tend to have a smaller gender gap in unpaid work, a sizeable difference still exists even in the United States. Arlie Hochschild’s seminal 1989 book, “The Second Shift,” detailed the way working women in the United States essentially performed two jobs: punching out at work only to come home to care for the family. More than 25 years later, men are pitching in more domestically, but things are still far from equal: Women in the United States still perform almost double the amount of housework and childcare as their male partners. Studies show that many women offset the heavier burden at home by reducing the time they spend in paid employment (which means less overall income), especially in jobs that reward long hours at the office.

The failure to value unpaid domestic and care work also has broader implications for the U.S. economy. While the value of unpaid work affects economic activity, it is not currently captured by gross domestic product statistics. Care work, for example, is the foundation of what many economists call “human infrastructure.” Just as we depend on the bridges, roads, and railways that make up our physical infrastructure for society to function, we rely on the support of those caring for the elderly and nurturing the young. Investing in the care of our children today ensures a productive workforce tomorrow. Being able to arrange sufficient proper care for a child or ailing parent affects what kind of job you can take and how productive you’ll be once you get there.

That is why gender equality and women’s time is not just an issue of fairness. Women make up nearly half of the working-age population in the United States. Globally, a recent report by the McKinsey Global Institute finds that advancing women’s equality could add $12 trillion to global growth. In the United States alone, that number amounts to $2.1 trillion in 2025.

The issue of time spent outside of the (paid) workplace tends to be overlooked in debates around gender equality, but what happens at home has ripple effects throughout society. Policymakers can help close the time gap by redistributing some of the unpaid work to men. After all, men who have access to paid leave after the birth of a child spend more time on household labor and childcare even years later. But in an era in which men and women are both in the labor force, redistribution isn’t enough as it just means that everyone will struggle to reconcile work and family life. Policies such as flexible working arrangements, affordable care for children and the elderly, and affordable healthcare can support men and women alike and strengthen society and the economy as well.

Must-Read: Noah Smith: Economics Has a Major Blind Spot

Must-Read: Noah Smith: Economics Has a Major Blind Spot:

Economists often don’t take politics into account. As a result, econ models leave out important pieces, and the advice of economists often falls on deaf ears or is seen as impractical…

Most economists would probably agree that fiscal and monetary policy both have an effect on aggregate demand and economic growth. But models of monetary policy often don’t consider the way that Congress’ tax and spending decisions react to changes in interest rates. And models of fiscal policy often assume that the central bank will follow some fixed rule no matter what happens to taxes and spending…. This interaction is so important that with certain assumptions about fiscal policy, it’s possible to completely reverse a model’s predictions about the effects of monetary policy.

Incomplete models aren’t the only way that econ fails…. Economists rarely think about the political feasibility of their proposals… intricate, complex models of optimal tax policy…. If academics spend their time on complex models that might only be used by some hyperadvanced future civilization, that’s not really a problem. The danger is that any attempt to change tax policy in the direction of an optimal solution might actually make things worse….

Not all economists need to take politics into account, but the ones who give policy advice definitely do…. Economists and their models are now in the thick of the political arena. If only more were aware of it.

Must-Read: Thomas Baekdal: What Killed The Newspapers? Google Or Facebook? Or…?

Must-Read: Thomas Baekdal: What Killed The Newspapers? Google Or Facebook? Or…?:

Google didn’t actually kill the newspaper advertising market…

What Killed The Newspapers Google Or Facebook Or by baekdal blog

Google replaced it with an entirely different market. It’s the same money, but Google isn’t in the same market as the newspapers. It instead created its own market and brands decided that was a better place to be…. Advertising in newspapers, they are almost always based on creating random exposure for people with no specific intent…. In the past, this was pretty much how all advertising was done…. Google Search is instead based on advertising to people when they are specifically looking for something…. It’s based on high-intent exposure. This is an incredibly important distinction to understand. Google isn’t winning because it’s big or that it has so much more scale. It’s winning because it created a way for people to have high-intent moments, which brands can reach with their ads.

We have shifted from having a single advertising market (all based on low-intent exposure), to having two different advertising markets… and the media only fits into one of them. Brands will always prefer to have a high-intent moment than low-intent moment (at least the brands who know what they are doing). And it’s because of this that newspapers are losing the market. You are not losing to Google. You are losing to people’s ‘intent’. This is the reality today…

The Stakes of the Helicopter Money Debate: A Primer

The swelling wave of argument and discussion around “helicopter money” has two origins:

First, as Harvard’s Robert Barro says: there has been no recovery since 2010.

The unemployment rate here in the U.S. has come down, yes. But the unemployment rate has come down primarily because people who were unemployed have given up and dropped out of the labor force. Shrinkage in the share of people unemployed has been a distinctly secondary factor. Moreover, the small increase in the share of people with jobs has been neutralized, as far as its effects on how prosperous we are, by much slower productivity growth since 2010 than America had previously seen, had good reason to anticipate, and deserves.

The only bright spot is a relative one: things in other rich countries are even worse.

The wave’s second origin comes in an institutional change that took place in rich countries around the year 1980, back in the era in which Paul Volcker took control of the Federal Reserve. Back then we changed our economic policy institutions. The stagflation of the 1970s convinced many that the political branches of government were incompetent at managing the business cycle. The business cycle disturbed inflation, unemployment, and short run growth. The political branches had tried to use the tools they controlled to manage the business cycle. The stagflation of the 1970s convinced many that they had failed and could not but fail. And the stagflation of the 1970s also convinced the political branches that they did not want responsibility for managing the business cycle—that to assume responsibility was to accept blame, because it would go badly.

Thus back in 1980 Paul Volcker grabbed for the Federal Reserve the power they released. Henceforth the Federal Reserve—and its kith and kin central banks elsewhere in the world—were to be “independent”: They were to be effectively freed from meddling by vote seeking politicians with or seeking soundbites. They were tasked be good technocrats finding a way for the economy between the Skylla of inflation and the Kharybdis of unemployment. And thus they were to manage the economy generate stable, satisfactory, and equitable growth.

But could the Federal Reserve and its kith and kin elsewhere do the job? Did they have the tools? Volcker’s view, and the consensus view of mainstream economists, was that they did have the tools: Milton Friedman had demonstrated, to the satisfaction of a rough consensus of mainstream economists, that central banks’ powers to create money with which to conduct financial open market operations and to both supervise and rescue the banking system were more than powerful enough to do the job.

Now note that back in 1936 [John Maynard Keynes had disagreed][]:

The State will have to exercise a guiding influence… partly by fixing the rate of interest, and partly, perhaps, in other ways…. It seems unlikely that the influence of banking policy on the rate of interest will be sufficient by itself…. I conceive, therefore, that a somewhat comprehensive socialisation of investment will prove the only means of securing an approximation to full employment; though this need not exclude all manner of compromises and of devices by which public authority will co-operate with private initiative…

By the 1980s, however, for Keynes himself the long run had come, and he was dead. The Great Moderation of the business cycle from 1984-2007 was a rich enough pudding to be proof, for the rough consensus of mainstream economists at least, that Keynes had been wrong and Friedman had been right.

But in the aftermath of 2007 it became very clear that they—or, rather, we, for I am certainly one of the mainstream economists in the roughly consensus—were very, tragically, dismally and grossly wrong.

Now we face a choice:

  1. Do we accept economic performance that all of our predecessors would have characterized as grossly subpar—having assigned the Federal Reserve and other independent central banks a mission and then kept from them the policy tools they need to successfully accomplish it?

  2. Do we return the task of managing the business cycle to the political branches of government—so that they don’t just occasionally joggle the elbows of the technocratic professionals but actually take on a co-leading or a leading role?

  3. Or do we extend the Federal Reserve’s toolkit in a structured way to give it the tools it needs?

Helicopter money is an attempt to choose door number (3). Our intellectual adversaries mostly seek to choose door number (1)—and then to tell us that the “cold douche”, as Schumpeter put it, of unemployment will in the long run turn out to be good medicine, for some reason or other. And our intellectual adversaries mostly seek to argue that in reality there is no door number (3)—that attempts to go through it will rob central banks of their independence and wind up with us going through door number (2), which we know ends badly…

[John Maynard Keynes had disagreed]: https://www.marxists.org/reference/subject/economics/keynes/general-theory/ch24.htm (John Maynard Keynes (1936): The General Theory of Employment, Interest and Money (London: Macmillan).

Musings on the Science of “Scaling”: Blum Center U.C. Berkeley

No subject brad delong gmail com Gmail

This is not at all the so-called “replication crisis”.

The devices built work as assessed by all engineering yardsticks: cheap, easy to maintain, rugged, and simple to operate. The interventions conducted work as assessed by all social science standards: they pass gold-standard RCT tests with effects that are statistically and substantively significant.

And yet…

“Scaling” is very hard…

My largely uninformed and probably wrong view is that it has everything to do with organizational and systematic robustness. In the engineering lab and in the social science RCT 98% of things go right. But out in the real world societal capabilities vary: while Toyota can hit six nines–99.9999%–at times I think U.C. Berkeley is lucky to hit nine sixes, and Berkeley is, in global context, a relatively functional organization. So: engineering and societal organization institutions designed for robustness, to degrade gracefully when you cannot attain the degree of organizational tautness of a Toyota. How do we do that? That, I think, is the BIG QUESTION here.

(And, of course, if we can attain the degree of organizational tautness of a Toyota, we no longer have a problem of economic development in any sense, do we?)

Blum Center: The Science of Scaling: Building Evidence to Advance Anti-Poverty Innovations:

September 26 @ 8:00 am – 5:00 pm
100 Blum Hall, Haviland Road
U.C. Berkeley
Berkeley, CA 94720 United States

The Development Impact Lab (DIL), headquartered at UC Berkeley and funded by USAID…

…has developed a “Development Engineering (Dev Eng)”… interdisciplinary framework for designing and testing new povertyalleviation and economic growth technologies in the field… encourag[ing] researchers to build scal[ing] into the R&D process, from the beginning. Yet… there are few generalizable mechanisms for scaling evidence-based interventions in emerging markets…. [Thus] DIL[s]… annual State of the Science conference [is] on The Science of Scaling:

The conference will bring together academic researchers, development practitioners, technology developers, and investors to review the evidence on scaling successful anti-poverty innovations…. Are there proven methods for technology transfer from university to government agencies and non-governmental organizations? Why do some products and interventions scale quicker than others? What facilitates the adoption of new technologies by end-users? This event will explore these questions and help articulate a research agenda for the “Science of Scaling”…

http://delong.typepad.com/2016-09-26-08.3057-scanner-pro.pdf

2016 09 26 08 3057 Scanner Pro pdf 1 page

Must-Read: Blum Center: The Science of Scaling: Building Evidence to Advance Anti-Poverty Innovations

Must-Read: Blum Center: The Science of Scaling: Building Evidence to Advance Anti-Poverty Innovations:

September 26 @ 8:00 am – 5:00 pm
100 Blum Hall, Haviland Road
U.C. Berkeley
Berkeley, CA 94720 United States

The Development Impact Lab (DIL), headquartered at UC Berkeley and funded by USAID…

…has developed a “Development Engineering (Dev Eng)”… interdisciplinary framework for designing and testing new povertyalleviation and economic growth technologies in the field… encourag[ing] researchers to build scal[ing] into the R&D process, from the beginning. Yet… there are few generalizable mechanisms for scaling evidence-based interventions in emerging markets…. [Thus] DIL[s]… annual State of the Science conference [is] on The Science of Scaling:

The conference will bring together academic researchers, development practitioners, technology developers, and investors to review the evidence on scaling successful anti-poverty innovations…. Are there proven methods for technology transfer from university to government agencies and non-governmental organizations? Why do some products and interventions scale quicker than others? What facilitates the adoption of new technologies by end-users? This event will explore these questions and help articulate a research agenda for the “Science of Scaling”…