Wednesday, November 29, 2017

NEEP: "Employment growth will be constrained by the number of available workers"

From Alan Clayton-Matthews' presentation to the New England Economic Partnership conference at the Boston Fed yesterday.  A recurring challenge faces Massachusetts and New England: "demographic constraints." Because the region is not growing its working-age population as quickly as the rest of the nation, employers will struggle to find workers. For a variety of reasons older workers may see the need to remain in the labor force due to either financial considerations or in response to other incentives to remain on the job.  






























More from Professor Clayton-Matthews: "Construction will be the fastest growing sector, but health services and skilled business sectors will add the most jobs."  Through 2021 the composition of the Massachusetts workforce will not be radically different than what we see today with the erosion of jobs in manufacturing. 


For a recap of the discussion from yesterday's conference, read Michael Norton's State House News Service dispatch

Monday, November 20, 2017

Casey Mulligan's latest study on the labor market effects of the Affordable Care Act

From University of Chicago's Casey Mulligan, a new paper titled, "The Employer Penalty, Voluntary Compliance, and the Size Distribution of Firms: Evidence from a Survey of Small Businesses."

Abstract: 
A new survey of 745 small businesses shows little change in the size distribution of businesses between 2012 and 2016, except among businesses with 40-74 employees, in a way that is closely related to whether they offer health insurance coverage.  Using measures of both size and voluntary regulatory compliance, the paper links these changes to the Affordable Care Act's employer mandate.  Between 28,000 and 50,000 businesses nationwide appear to be reducing their number of full-time-equivalent employees to below 50 because of that mandate.  This translates to roughly
250,000 positions eliminated from those businesses. 
The gated paper is available at the National Bureau of Economic Research.


A look at the MA jobs picture for October 2017

Source: Executive Office of Labor and Workforce Development, Author's calculations.

Monday, November 13, 2017

When it comes to business data, is Yelp as good as the U.S. Census?

From the paper titled, "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," by Edward L. Glaeser, Hyunjin Kim and Michael Luca

Here's the abstract from NBER.

Abstract:
Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of local economic activity at the local level.  However, these statistics typically appear only after multi-year lags, and the public-facing versions are aggregated to the county or ZIP code level. In contrast, crowdsourced data from online platforms such as Yelp are often contemporaneous and geographically finer than official government statistics.  In this paper, we present evidence that Yelp data can complement government surveys by measuring economic activity in close to real time, at a granular level, and at almost any geographic scale.  Changes in the number of businesses and restaurants reviewed on Yelp can predict changes in the number of overall establishments and restaurants in County Business Patterns.  An algorithm using contemporaneous and lagged Yelp data can explain 29.2 percent of the residual variance after accounting for lagged CBP data, in a testing sample not used to generate the algorithm.  The algorithm is more accurate for denser, wealthier, and more educated ZIP codes.

Monday, November 6, 2017

My Boston Business Journal op-ed on Amazon and Massachusetts

An argument for Massachusetts as the site for Amazon's second headquarters. (Subscription required). 

The rise of the machines. What does it mean?

A new working paper from the National Bureau of Economic Research by Erik Brynjolfsson, Daniel Rock, Chad Syverson. Abstract:  
We live in an age of paradox.  Systems using artificial intelligence match or surpass human-level performance in more and more domains, leveraging rapid advances in other technologies and driving soaring stock prices.  Yet measured productivity growth has declined by half over the past decade, and real income has stagnated since the late 1990s for a majority of Americans.  We describe four potential explanations for this clash of expectations and statistics:  false hopes, mismeasurement, redistribution, and implementation lags.  While a case can be made for each, we argue that lags have likely been the biggest contributor to the paradox.  The most impressive capabilities of AI, particularly those based on machine learning, have not yet diffused widely.  More importantly, like other general purpose technologies, their full effects won't be realized until waves of complementary innovations are developed and implemented.  The required adjustment costs, organizational changes, and new skills can be modeled as a kind of intangible capital. A portion of the value of this intangible capital is already reflected in the market value of firms. However, going forward, national statistics could fail to measure the full benefits of the new technologies and some may even have the wrong sign.

Solow Model from Wolfram

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