Challenges for Hawaii's Post-COVID Workforce - Hawaii Workforce Development Council
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Challenges for Hawaii’s Post-COVID Workforce a webinar presentation prepared for Hawaii Workforce Development Council by Paul H. Brewbaker, Ph.D., CBE TZ Economics, Kailua, Hawaii August 12, 2021 Copyright 2021 Paul H. Brewbaker, Ph.D., CBE
Topical interests from the Workforce Development Council ▪ Projection for Hawaii’s economy and workforce for 2022 and beyond 1. Workforce by industries 2. Supply chain shortages (semi-conductors, wood, construction supplies, etc.) 3. Digital impacts 4. Labor force projections ▪ Long-run impact of COVID ▪ What employers should expect ▪ Alternative industries to hospitality [pass] ▪ Interest rates [Appendix] ▪ Recession (and other risks ) [latent throughout] Slide copyright 2021 1
Reality challenge: nobody remembers Hawaii’s 2018-19 recession [This page intentionally left blank] Slide copyright 2021 2
Sapped by US$ appreciation in 2010s, Hawaii real GDP growth vanished 2018-2019, then was pounded by COVID-19; the plan now: less tourism Constant, 2012 chain-weighted dollars: billion (left), trillion (right) 21 COVID-19 2.3% U.S. 20 90 Aloha Airlines (right scale) shutdown U.S. 19 85 Hawaii U.S. recessions stagnation shaded gray 18 80 Hawaii stagnation 17 Hawaii 75 16 Hawaii (left scale) 70 15 2006 2008 2010 2012 2014 2016 2018 2020 2022 Slide copyright 2021 Source: U.S. Bureau of Economic Analysis (https://apps.bea.gov/iTable/index_nipa.cfm and https://www.bea.gov/data/gdp/gdp-state); regression of natural log of U.S. real GDP 2009Q2-2019Q4 by TZ Economics depicted 3 with 2 standard error bandwidth (99 percent confidence interval), ( . . )= 1.246015 + 0.005716 where t is a time index in quarters; depicted U.S. time series is U.S. real GDP minus Hawaii real GDP.
Not just some esoteric “GDP theory:” Hawaii employment stagnated during these 2010s intervals (or, in 2011, a precursor): “Down is Up” Oahu Monthly, thous., s.a. (logs) (right scale) 460 Tohoku 210 seismic 440 event 200 Employment 420 stagnation Oahu 190 400 Neighbor Isles 180 (left scale) N. Isles 380 Stagnation Aloha Airlines 170 shutdown 360 U.S. recessions shaded gray 340 160 COVID-19 320 150 2006 2008 2010 2012 2014 2016 2018 2020 2022 Slide copyright 2021 Source: Hawaii DLIR (https://www.hirenethawaii.com/admin/gsipub/htmlarea/uploads/LFR_LAUS_LF.xls), seasonal adjustment through 2019 using X-13 ARIMA filter by TZE; total non-agricultural wage and salary jobs 4 dropped by 160,000 between December 2019 and April 2020. Jobs in June 2021 were still 100,000 below the year-end 2019 benchmark.
Alternative measures of Hawaii labor underutilization, 4-quarter trailing; COVID-19 impacts on unemployment and underemployment now easing Percent of labor force 20 U.S. recessions shaded gray Employment 18.5 (U-6) stagnation U-6 16 12 11.9 (U-5) 10.8 (U-4) U-5 10.3 (U-3) U-4 8.6 (U-2) 8 7.5 (U-1) U-3 U-1 4 U-2 0 2004 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 Slide copyright 2021 5 Source: U.S. Bureau of Labor Statistics (monthly) Alternative Measures of Labor Underutilization for States (https://www.bls.gov/lau/stalt.htm and https://www.bls.gov/lau/stalt-archived.htm).
Alternative definitions of labor underutilization for Hawaii and the U.S. • U-1, persons unemployed 15 weeks or longer, as a percent of the civilian labor force • U-2, job losers and persons who completed temporary jobs, as a percent of the civilian labor force • U-3, total unemployed, as a percent of the civilian labor force (this is the definition used for the headline unemployment rate) • U-4, total unemployed plus discouraged workers, as a percent of the civilian labor force plus discouraged workers • U-5, total unemployed, plus discouraged workers, plus all other marginally attached workers, as a percent of the civilian labor force plus all marginally attached workers • U-6, total unemployed, plus all marginally attached workers, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all marginally attached workers Slide copyright 2021 6 Source: U.S. Bureau of Labor Statistics (monthly) Alternative Measures of Labor Underutilization for States (https://www.bls.gov/lau/stalt.htm).
Hawaii payroll employment dynamics, April-March ending in 2016-2020, and April-June 2021 (2016 = 1.0) 1.1 1.1 1.0 1.0 0.971 Construction 0.993 Health 0.9 0.937 Wholesale 0.9 0.937 Professional, bus. serv. 0.825 Retail 0.932 Financial 0.8 0.8 0.816 Education 0.778 Manufacturing 0.723 Information 0.7 0.7 0.6 0.6 0.5 0.5 0.4 0.4 0.3 0.3 2016 2017 2018 2019 2020 2021 2016 2017 2018 2019 2020 2021 1.1 1.1 1.017 Federal 1.0 1.0 0.985 County 0.9 0.9 0.907 State 0.839 Transportation 0.794 Other private services 0.8 0.8 0.776 Food services 0.7 0.669 Accommodation 0.7 0.6 0.613 Arts, ent., recr. 0.6 0.5 0.5 0.4 0.4 0.399 Accommodation 0.3 0.3 2016 2017 2018 2019 2020 2021 2016 2017 2018 2019 2020 2021 Sources: Hawaii DLIR, Hawaii DBEDT (http://dbedt.hawaii.gov/economic/mei/); Total jobs index: 1.000 (2016), 1.009 (2017), 1.013 (2018), 1.014 (2019) 0.814 (2020), 0.873 (2021) Copyright 2021 Paul H. Brewbaker, Ph.D., CBE
Benchmarking real GDP to end-2019, drop in Hawaii value-added most extreme in travel, tourism, entertainment, and recreation—plus ag Hawaii real GDP by industry indexes (2019Q4 = 100) 125 Agriculture Military 100 All other industries Retail + wholesale Agriculture 75 Transportation Arts, ent. recr. 50 Accommodation, food services 25 0 2018:Q1 2019:Q1 2020:Q1 2021:Q1 Slide copyright 2021 8 Source: BEA, U.S. Department of Commerce (https://www.bea.gov/data/gdp/gdp-state); quarterly real data through 2021Q1 indexed to 2019Q4 = 100.
Normalized U.S. labor force participation rates by age: large post-Covid rebound in younger cohorts, persistently lower rates in older cohorts Standard deviations COVID-19 2 1 Young Shredders 16-19 20-24 0 25-54 -1 55+ -2 Old Duffers -3 U.S. recession shaded -4 2015 2016 2017 2018 2019 2020 2021 2022 2023 Slide copyright 2021 9 Source: Current population survey (household survey), U.S. Bureau of Labor Statistics, retrieved from FRED, Federal Reserve Bank of St. Louis (https://fred.stlouisfed.org/series/LNS11300012) (July 2, 2021)
Younger workers since the 1980s face larger opportunity cost for not acquiring higher education than in past; workforce participation lower Percent of population in each age group 25-54 81.7% 80 70 20-24 70.8 60 16-19 50 40 38.4 35.4 55+ 30 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 Slide copyright 2021 10 Source: Current population survey (household survey), U.S. Bureau of Labor Statistics, retrieved from FRED, Federal Reserve Bank of St. Louis (https://fred.stlouisfed.org/series/LNS11300012) (July 2, 2021)
U.S. Beveridge Curve: higher unemployment means fewer jobs open; post-pandemic mismatch more openings for given unemployment Million job openings May 2021 8 6 April 2020 – May 2021 2010s July 2010 – March 2020 April January 2002 – June 2010 4 2020 2000s 2 0 0 2 4 6 8 10 12 14 Unemployment rate (%) Slide copyright 2021 Sources: U.S. Bureau of Labor Statistics, Job Openings: Total Nonfarm [JTSJOL], Unemployment Rate [UNRATE], retrieved from FRED, Federal Reserve Bank of St. Louis; (https://fred.stlouisfed.org/series/JTSJOL, 11 https://fred.stlouisfed.org/series/UNRATE), July 10, 2021.
Inflation fear-mongering [This page intentionally left blank] Slide copyright 2021 12
Supply chain disruptions in semiconductors and motor vehicles partly a result of idiosyncrasies in evolution of both industries ▪ Chip industry focus on design: about one-third of manufacturing brands have no in-house fabrication (“Fabless Integrated Circuit” sales), depend on “Fabs” for thei production ▪ Foundry market concentration: Taiwan Foundry has over half of global foundry capacity; top 5 companies control ¾ of global capacity—more reliance on increasingly concentrated Fab market ▪ Large share of industry set up for ≥ 16-28 nanometer production; cutting edge is now 5-7 nm ▪ More focus on propriety chip design, less on commodity business—lag in transition for autos; “dynamic where there’s been less focus on auto production technologies, more…on cutting edge.” ▪ Trump Trade War plus Chinese and EU mercantilism (industrial policy) supply constraints ▪ Pandemic raised demand for consumer technologies (laptops), restaurants moving to Cloud, etc., pushing auto sector further out in the queue at low period for their sales; plus: transport costs Also: pre-Covid U.S. auto and light truck sales had declined in late-2010s (see slide 21): ► 17.9 million in December 2016 ► 16.9 million in December 2019 Slide copyright 2021 Source: Comments of Shawn DuBravac, Ph.D., CFA, Chief Economist, IPC, and President, Avrio Institute, from a panel discussion, Auto Market Update sponsored by the National Association for Business Economics, 13 June 24, 2021 (https://www.youtube.com/watch?v=rfQB2o5GzGg&t=379s).
Worldwide semiconductor sales experienced Sudden Stop like rest of global economy in March-April 2020 before mounting recovery Billion U.S. dollars, monthly, s.a. (log scale) 4.75 4.50 COVID-19 4.25 U.S. recession shaded 4.00 3.75 3.50 April 3.25 3.00 19Q1 19Q2 19Q3 19Q4 20Q1 20Q2 20Q3 20Q4 21Q1 21Q2 21Q3 Slide copyright 2021 14 Source: World Semiconductor Trade Statistics Historical Billings Report (https://www.wsts.org/esraCMS/extension/media/f/BBH/5116/bbhist-35.xls), seasonal adjustment by TZ Economics.
Expansion of Trump Administration steel and aluminum tariffs, etc. precipitated pre-Covid contraction in worldwide semiconductor sales Billion U.S. dollars, monthly, s.a. (log scale) Trump Last Trade slide War 4 Lehman Brothers 3 COVID-19 U.S. recessions shaded 2 2006 2008 2010 2012 2014 2016 2018 2020 2022 Slide copyright 2021 15 Source: World Semiconductor Trade Statistics Historical Billings Report (https://www.wsts.org/esraCMS/extension/media/f/BBH/5116/bbhist-35.xls), seasonal adjustment by TZ Economics.
Shuttered then rebooted factories, supply chain disruptions, factor constraints, strong recovery, raised producer prices, building costs Index, monthly, s.a. (1982 = 100) (log scale) Lumber 400 Trump Iron and Steel Trade COVID-19 War 300 200 U.S. recession shaded 2015 2016 2017 2018 2019 2020 2021 2022 Slide copyright 2021 Sources: U.S. Bureau of Labor Statistics, Producer Price Index by Commodity: Lumber and Wood Products: Lumber [WPS081Metals and Metal Products: Iron and Steel [WPU101], data through June 2021, retrieved from 16 FRED, Federal Reserve Bank of St. Louis (https://fred.stlouisfed.org/series/WPS081, https://fred.stlouisfed.org/series/WPU101), August 7, 2021.
Lumber futures contracts prices fell ⅔ in last 3 months as Covid supply chain disruptions began to be resolved: transitory inflation factor Weekly, dollars/thousand board feet (log scale) $1686 1,600 COVID-19 1,200 U.S. recession shaded 1,000 Trump Trade War (China)* 800 Plus: yield spread compression 600 $460 $525 (8-11-21) 400 $264 200 2016 2017 2018 2019 2020 2021 *White House releases a statement that it would impose tariffs on $50 billion of goods from China shortly after announcing the final list of covered imports on June 15, 2018; Peterson Institute for International Economics (https://www.piie.com/blogs/trade-investment-policy-watch/trump-trade-war-china-date-guide). Slide copyright 2021 Source: Chicago Mercantile Exchange, Random Length Lumber Futures, via Yahoo Finance (https://finance.yahoo.com/quote/LBS%3DF/history?p=LBS%3DF), weekly closing prices through August 6, 2021 and daily quote 17 August 11, 2021
U.S., Hawaii inflation through 2020: FOMC committed to PCE inflation averaging 2 percent, implies headline CPI inflation ≥ 2.5 percent “With inflation running persistently below this [2 percent] longer run goal, the Percent 8 change in CPI-U, year-over-year [FOMC] will aim to achieve inflation moderately above 2 percent for some time so that inflation averages 2 percent over time and longer-term inflation expectations remain well anchored at 2 percent” (November 5, 2020) 6 U.S. recessions shaded COVID-19 4 Honolulu 2.5% 2 0 9/11 U.S. urban average -2 Lehman Brothers 1995 2000 2005 2010 2015 2020 2025 Slide copyright 2021 Sources: Federal Reserve Board (https://www.federalreserve.gov/newsevents/pressreleases/monetary20201105a.htm), U.S. Bureau of Labor Statistics (https://data.bls.gov/cgi-bin/surveymost?r9), data through 2021Q1; 18 quarterly interpolations or averages calculated by TZ Economics.
Inflation sharply reflected binding supply chain constraints in 2021Q2, disruptions from pandemic and recent recovery: transitory inflation Percent change (year-over-year) 5.4% (July) 5 U.S. average COVID-19 4.6% (July) 4 3 2 1 0 Urban Hawaii U.S. recession shaded -1 -2 2017 2018 2019 2020 2021 Slide copyright 2021 Source: U.S. Bureau of Labor Statistics (https://data.bls.gov/cgi-bin/surveymost?r9, https://www.bls.gov/news.release/cpi.nr0.htm), to facilitate comparison semiannual inflation rates for 2017 and most of 2018 are included 19 with the newer year-over-year inflation estimates for Urban Hawaii inflation at bi-monthly frequencies, both data sets reported through July 2021.
Contributions to U.S. real GDP growth: consumption-led recession, reversal 2020Q3, ARPA consumption growth of 7-8% p.a. 2021Q1-Q2 Contributions to percent change in real U.S. GDP +33.8% 30 C COVID-19 20 +6.3% +6.5% 10 ∆ +4.5% ∆ 0 ∆ −NX −5.1% −∆ -10 -20 −C -30 −31.2% -40 2018Q1 2019Q1 2020Q1 2021Q1 Slide copyright 2021 20 Source: Bureau of Economic Analysis, U.S. Department of Commerce (https://www.bea.gov/data/gdp/gross-domestic-product), actual data through second quarter 2021.
Both demand and supply factors disrupted auto and light truck sales: deep Covid sales drop, production hiatus, relief package sales spike Million units at annual rates, s.a. (log scale) ARPA 18 17.9 16 16.9 Cash for Clunkers 14 COVID-19 12 Tohoku seismic event 10 U.S. recessions shaded 8 2006 2008 2010 2012 2014 2016 2018 2020 2022 Slide copyright 2021 21 Source: U.S. Bureau of Economic Analysis, Light Weight Vehicle Sales: Autos and Light Trucks [ALTSALES], retrieved from FRED, Federal Reserve Bank of St. Louis (https://fred.stlouisfed.org/series/ALTSALES)
One surprise after the initial Covid shock: surge in U.S. real GDP growth from residential investment, homebuilding increase (plus renovations) Contribution to percent change in real U.S. Gross Domestic Product 2.0 COVID-19 1.5 1.0 0.5 0.0 -0.5 -1.0 -1.5 -2.0 2016Q1 2017Q1 2018Q1 2019Q1 2020Q1 2021Q1 Slide copyright 2021 22 Source: Bureau of Economic Analysis, U.S. Department of Commerce (https://www.bea.gov/data/gdp/gross-domestic-product), actual data through second quarter 2021.
Implicit inflation expectations: difference (nominal − real) Treas. yields: LR inflation expectations ≤ % leave room for symmetric reflation Term structure of inflation expectations (percent)* 30-year 2 ∗ = 2 1 “When it gets a little warmer, it miraculously goes away” 5-year DJ Trump 0 COVID recession “Following periods when inflation has been running persistently below 2 percent, appropriate monetary -1 policy will likely aim to achieve inflation moderately above 2 percent for some time” FRB (August 2020) 2008 2010 2012 2014 2016 2018 2020 2022 *Nominal U.S. Treasury yields minus TIPS yields at same maturities Slide copyright 2021 Source: Board of Governors of the Federal Reserve System (https://www.federalreserve.gov/datadownload/Choose.aspx?rel=H15), monthly implied inflation expectations through June 2021 and Statement on Longer-Run 23 Goals and Monetary Policy Strategy (August 2020) https://www.federalreserve.gov/monetarypolicy/review-of-monetary-policy-strategy-tools-and-communications-statement-on-longer-run-goals-monetary-policy- strategy.htm)
U.S. economic forecasts (and monetary union) provide insight into likely price inflation scenarios this year and next, even for Hawaii Median forecast 2021 2022 percent changes 2021 2022 Lowest 5 Highest 5 Lowest 5 Highest 5 n Q4/Q4 Core PCE deflator 2.2 2.1 1.6 3.2 1.7 2.6 45 PCE deflator 2.6 2.2 2.2 3.6 1.7 3.3 43 GDP implicit price deflator 2.7 2.3 2.1 3.3 1.7 3.0 45 CPI-U 2.8 2.3 1.7 3.7 1.6 3.2 45 Real U.S. GDP 6.7 2.8 4.1 8.1 2.2 4.8 46 Annual average Real U.S. GDP 6.5 4.4 5.0 7.3 2.9 5.6 49 Slide copyright 2021 Source: National Association for Business Economics (May 24, 2021), “NABE Panelists Boost Forecast for GDP Growth in 2021; Expect Current Inflation to Moderate by Year-End” (public summary available at 24 https://www.nabe.com/NABE/Surveys/Outlook_Surveys/May-2021-Outlook-Survey-Summary.aspx).
Work-From-Home (WFH) and labor force changes [This page intentionally left blank] Slide copyright 2021 25
FRB Atlanta (May 2020) survey results: “the share of working days spent at home is expected to triple after the COVID-19 crisis ends” Pre-Crisis Work From Home Post-Crisis Work From Home 5 days 5 days 3.4 10.3 Never 90.3% Never 73.0% 2-4 2-4 days days 9.9 3.4 1 d. 1 day 2.9 6.9 Slide copyright 2021 Source: Federal Reserve Bank of Atlanta Macroblog (May 28, 2020), “Firms Expect Working from Home to Triple,” FRB Atlanta Survey of Business Uncertainty. 26 (https://www.frbatlanta.org/blogs/macroblog/2020/05/28/firms-expect-working-from-home-to-triple)
January 2021 NABE member survey of firms: Did your company implement new work from home policies due to the health crisis? All employees Most employees Some employees 35.5% 30.1% 19.4% No employees n.a. 10.8% 4.6% Slide copyright 2021 Source: National Association for Business Economics (https://nabe.com/NABE/Surveys/Business_Conditions_Surveys/January_2021_Business_Conditions_Survey_Summary.aspx); survey question asked of 27 respondents January 4-12, 2021 was, “Did your company implement new work from home policies due to the health crisis?”
Survey of firms: “Compared to expectations before Covid (in 2019) how has working from home turned out?” (Four survey waves, 2020) Hugely better 19.0% Substantially better 21.2 Better 20.8 About the same 26.2 Worse 6.9 Substantially worse 3.1 Hugely worse 2.7 0 5 10 15 20 25 Percent n = 2,500 (May, July, September/October 2020), 5,000 (August) Slide copyright 2021 Source: Nicholas Bloom on working from home: will it persist? (https://www.youtube.com/watch?v=N8_rvy-hqUs), Princeton Bendheim Center for Finance, working paper by Jose Maria Barrero, Nicholas Bloom, and 28 Stephen J. Davis (January 2021), “Why Working From Home Will Stick,” posted at https://nbloom.people.stanford.edu/sites/g/files/sbiybj4746/f/wfh_will_stick_v5.pdf.
U.S. workers who teleworked or worked at home for pay specifically because of COVID-19, excluding those who did pre-pandemic* Percent of workers by educational attainment 70 68.9 60 Advanced degree 53.5 50 40 College graduate 37.4 30 Total (25 and older) 29.5 25.1 22.7 20 Some college 15.3 14.4 High school graduate 10 8.8 5.2 Less than high school 4.1 0 1.9 2020.05 2020.07 2020.09 2020.11 2021.01 2021.03 2021.05 2021.07 *Or those whose telework was unrelated to the pandemic. Slide copyright 2021 Source: U.S. Bureau of Labor Statistics (monthly) through June 2021; supplemental data measuring the effects of the coronavirus (COVID-19) pandemic on the labor market (https://www.bls.gov/cps/effects-of-the- 29 coronavirus-covid-19-pandemic.htm and https://www.bls.gov/web/empsit/covid19-table1.xlsx).
Census household pulse data* show 1/5 of respondents live in Hawaii households in which at least one adult teleworked because of Covid 50% 40% Winter Break 30% Spring Break 20% Substituted some or all in-person work 10% Teleworked because of coronavirus 0% Aug-20 Sep-20 Oct-20 Nov-20 Dec-20 Jan-21 Feb-21 Mar-21 Apr-21 May-21 Jun-21 *Surveys before April 2021 define “Percentage of adults living in households where at least one adult has substituted some or all of their typical in-person work for telework because of the coronavirus pandemic,” thereafter “Percentage of adults living in households where at least one adult has teleworked because of the coronavirus pandemic in the last 7 days” Slide copyright 2021 30 Source: U.S. Bureau of the Census, Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html)
July 2021 NABE® Business Conditions survey (firms): 66% higher sales, 3% lower sales; 53% < 100 employees, 35% > 1,000 employees Fully remote 13% Not enough applicants 14% Inadequate matches 17% Flexible/hybrid 61% No shortages 37% Pre-COVID arrangement 21% Don't know/NA 24% Don't know/NA 5% Other 8% 0% 20% 40% 60% 0% 10% 20% 30% 40% Post-Covid Work From Home? Worker shortages? Q. Are work-from-home policies in your company going to remain Q. Is your company experiencing shortages of workers? in place after COVID? If so to what degree? If so, what are the reasons? n = 92 n = 92 Slide copyright 2021 31 Source: National Association for Business Economics (NABE®) member survey (July 2021) (https://nabe.com/NABE/Surveys/Business_Conditions_Surveys/July-2021-Business-Conditions-Survey-Summary.aspx).
Related WFH impacts of Covid: increased investment in IT equipment and software; remote work, fiscal stimuli, private savings/investment Quarterly annualized growth rates (%) 20 20.3 18.4 12.3 10 6.5 2.6 0 Covid recession -10 2015 2016 2017 2018 2019 2020 2021 Slide copyright 2021 Source: U.S. Bureau of Economic Analysis, Private fixed investment in information processing equipment and software [A679RC1Q027SBEA], retrieved from FRED, Federal Reserve Bank of St. Louis; 32 https://fred.stlouisfed.org/series/A679RC1Q027SBEA, August 9, 2021.
Monthly U.S. private non-ag business applications for federal EIN: post-Covid entrepreneurship impulse: “Take this job and shove it” Thousand monthly new business applications for a federal EIN, s.a. (log scale) 500 400 COVID-19 U.S. recessions shaded 300 200 2004 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 *Applications for an Employer Identification Number (EIN), except for applications for tax liens, estates, trusts, certain financial filings, applications outside of the 50 states and DC or with no state-county geocodes, applications with certain NAICS codes in sector 11 (agriculture, forestry, fishing and hunting) or 92 (public administration) that have low transition rates, and applications in certain industries (e.g. private households, civic and social organizations). Slide copyright 2021 Sources: U.S. Census Bureau, Business Applications: Total for All NAICS in the United States [BABATOTALSAUS], retrieved from FRED, Federal Reserve Bank of St. Louis; 33 https://fred.stlouisfed.org/series/BABATOTALSAUS, August 11, 2021, seasonally-adjusted data through July 2021.
Jump in output/hour of workers in nonfarm business sector (labor productivity) during recession vs. afterwards unique to Covid event Quarterly percent change from one year earlier Annual percent change 6 U.S. recessions shaded 5 2 Internet COVID-19 4 Internet COVID-19 1 3 CBO Potential 2 0 1 Fakebook Fakebook 0 −1 −1 −2 −2 1985 1990 1995 2000 2005 2010 2015 2020 1985 1990 1995 2000 2005 2010 2015 2020 Labor output per hour Total factor productivity Slide copyright 2021 Source: U.S. Bureau of Labor Statistics, Nonfarm Business Sector: Real Output Per Hour of All Persons, University of Groningen and University of California, Davis, Total Factor Productivity at Constant National Prices 34 for United States, retrieved from FRED, Federal Reserve Bank of St. Louis (https://fred.stlouisfed.org/series/OPHNFB, https://fred.stlouisfed.org/series/RTFPNAUSA632NRUG), August 9-10, 2021, Congressional Budget Office (May 19, 2020) Interim Economic Projections for 2020 and 2021 (https://www.cbo.gov/publication/56351#data).
Comments of BLS Commissioner William Beach on which of new data sets “drove a lot of interest and traffic; what really seemed to take off?” ▪ I’m beginning to think that this pandemic…has accelerated structural change in the economy. …You can sense it in the distributed platform as a way of working—telework. Automation, global value chains had already…wreaked havoc with the workplace but I think the workplace is changing faster today than at any time since the industrial revolution. ▪ The questions we put out had two sides to them. One side measure the pandemic. …The other side of that was to take a look at the way that the workplace itself was restructuring. So, we’ve gone from 36 percent at telework in the payroll employment to about 14 percent and it’s leveling off. Well, if it stays at 14 percent that’s a very serious, high percentage. ▪ We did surveys on workplace safety, on sick leave, all of that’s changing too as the workplace changes. So, I think the research question coming out of this at least for the Labor Department will be to say: ▪ How has the structure of the workplace changed? ▪ How has the structure of labor relations changed? because of the pandemic. ▪ We’re not going to go back to normal because the changes already are noticeably permanent in certain areas. That’s what our surveys…are beginning to shed light on this, I don’t what to call it, maybe it’s The New Economy. And on this point 86 percent now of payroll employment is in the services-providing sector…and that really accelerated in the last five years. So, that’s another indication that we’ve got some permanent changes going on. Slide copyright 2021 Source: Comments of William Beach, Commissioner, U.S. Bureau of Labor Statistics, National Association for Business Economics 2021 Economic Measurement Seminar (August 9-11, 2021), 31:41 of panel discussion 35 on Maintaining the Quality and Integrity of U.S. Government Data (August 9, 2021).
Summary: patterns of Hawaii macroeconomic dynamics in 2010s ▪ 2010s U.S. economic expansion @ 10⅔ years its longest ever (June 2009 – February 2020) (https://www.nber.org/research/data/us-business-cycle-expansions-and-contractions). ▪ In real GDP (https://www.bea.gov/data/gdp/gdp-state), Hawaii had four recessions, 2007-2020, or two intervals of idiosyncratic macroeconomic stagnation between the two U.S. recessions, December 2007 – June 2009 (Great Recession) and February 2020 – April 2020 (Covid). 1. Annualized U.S. real GDP growth 2009-2019: 2.3 percent p.a. 2. Annualized Hawaii real GDP growth 2009-2019: 1.8 percent p.a. ▪ Adjusted for Regional Price Parity (https://www.bea.gov/data/income-saving/real-personal- income-states-and-metropolitan-areas), relative Hawaii real per capita personal income declined: 1. 90 percent of the U.S. average (2009) (trough of Great Recession) 2. 85 percent of the U.S. average (2019) (pre-Covid peak of U.S. expansion) ▪ Challenge facing Hawaii: The Roaring 20s or The Boring 20s? (both an improvement?) Slide copyright 2021 36
Challenge to 2020s workforce development strategy: Less Is Not More ▪ Covid Recession slammed weakened, stumbling, lagging Hawaii economy • Four intervals of Hawaii employment, real GDP loss, not two, 2007-2021 • Covid economic transmission channel: travel & tourism (health channel: returning residents)* • Structure of small open economy specializing in export ▪ Demographic change, post-pandemic hysteresis (temporary changes turn out to be permanent) • Boomer retirement accelerating—labor force participation ratcheting downward • Remote work quantum leap: new rules of the game? • Mismatches in post-Covid recovery (e.g. Retail or last mile fulfillment? Menu or QR code?) • Absolute Hawaii population decline from net resident out-migration (Appendix) ▪ Official HTA policy of less tourism implies lower exports, lower output, less employment, reduced household income (Appendix) *Hawaii Department of Health COVID-19 Disease Clusters in Hawaii (https://health.hawaii.gov/coronavirusdisease2019/covid-19-disease-clusters-in-hawaii/) “Weekly COVID-19 Cluster Report” (August 5, 2021) (https://health.hawaii.gov/coronavirusdisease2019/files/2021/08/Hawaii_COVID-19_BiWeekly_Cluster_Report_5-August-2021_FINAL.pdf). Slide copyright 2021 37
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