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Research Chapter: KLEMS and QALI

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The following section is a research-based chapter which encompasses the KLEMS framework and QALI estimates. The KLEMS framework stands for Capital(K), Labour(L), Energy(E), Materials(M) and Services(S) and aim to provide more information on the drivers of productivity growth. QALI is a measure of Quality Adjusted Labour Input and uses more detailed information on the education, age, gender and economic sector of the workforce in addition to hours worked.  Estimates are produced using the QALI methodology for labour input that reflect these differences in work force composition.

Estimates of KLEMS and QALI are presented here as standalone research items and are still part of our ongoing research in this area.

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In the section below the focus is on the KLEMS methodology for measuring productivity. KLEMS is a framework where changes in productivity are measured in terms of Gross Output as opposed to Gross Value Added (which is used elsewhere in this publication to measure changes in productivity).  Gross Output is broken out into contributions from Energy, Materials and Services, in addition to the factor inputs of Capital, Labour and Multifactor productivity. Energy, Materials and Services are classified as intermediate inputs and the KLEMS framework produces indicators of their contribution to productivity.  The framework can also provide useful information on the interaction between different industries. More details can be found in the appendix.

EnergyMaterialsServicesCapital ServicesLabour InputMultifactor ProductivityGross Output
20000.8889324523323253.5373990451037810.7102476680624.013210553714440.2561579334681694.1382705774445423.5442182301252
20011.209099936582012.6344058129638810.19760035262784.22465188089809-0.0561061076029981-1.2813801447800416.9282717306888
2002-0.6865790826161-1.024844410167991.926117757609483.79355808110137-0.646950050024282.690819284898646.05212158080112
20030.01765289235296820.5259810228424985.449429027016572.24968401115758-0.294392609413737-2.346310136087115.60204420786877
2004-0.2336183106328660.7099696533866896.22512823627514-0.16707112307948-0.3057332618666780.2606718646522636.48934705873507
2005-0.177484942496453-0.2845234676178996.681760257407443.20656056513274-0.186696507307802-0.5146595212003818.72495638391765
20060.4582990291708751.06648985787369-3.032102919984272.52061960497984-0.160083812497206-1.36556060131827-0.512338841775336
20070.445586454227088-1.06113621986162-3.77446419593832.021513745813280.06126487967126850.638533170659279-1.66870216542901
20080.05842524243325250.31972873175769-4.399583693614420.880307699005627-0.688505963007697-4.8731036023665-8.70273158579204
2009-1.02042953988397-0.7629073526721829.108672760993452.18775364052383-1.1840599681258-3.064843755705945.26418578512938
2010-1.53422479920547-0.781331191070352-4.837929538219950.471792152993993-2.235132911643084.08611658492335-4.83070970222151
20110.221353955834872-0.798234315165862-2.29518468864971-1.57209187575743-0.06928368894356463.35617876021185-1.15726185246985
20120.8115683479590291.423668840222372.5497687032732-0.0427051103586691-0.0914822141262451-0.5554101755943454.09540839137534
2013-0.137605606117581-1.073171992973431.861001816744762.124884610534460.5474465358914-4.63303911374136-1.31048374966176
2014-0.440399194461691.196466325902474.211725213382971.768003983006220.4514860286951092.574191783750859.76147414027592

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The above chart shows the various factor inputs used in the Manufacturing sector for the period up to 2014. From 2000 to 2002, Gross Output followed a declining trend mainly driven by lower levels of manufacturing, probably due to falling demand for manufactured products. This in turn led to a fall in inputs used in production, particularly to a fall in services. From 2003 to 2005, Gross Output was relatively steady, likely due to increased production, which led to the increased demand for services. Gross Output declined from 2006 to 2008, most likely associated with the falling demand for manufactured products as the economy approached the recession in 2008. This decline in Gross Output mainly resulted in a falloff in demand for services. Negative growth in Gross Output was recorded in 2013, before turning positive in 2014.

EnergyMaterialsServicesCapital ServicesLabour InputMultifactor ProductivityGross Output
20002.753176271890186.256701212366373.122236143805781.458577309736274.89591738206308-3.2037173514074415.2828909684542
2001-0.1618749404829963.593108269191112.660992294459010.9352389131318781.85357036953939-1.516063979498847.36497092633956
2002-0.492299925694538-0.0105276330703083-0.454431240839590.5465911923061370.1872602221169460.0308146291340519-0.192592756047302
2003-1.31342109094082-3.23415396963614-4.399262565473380.6337826551142620.9529905761936851.14278360733518-6.21728078740721
2004-1.085298875918284.675151814379341.139491665487040.6230998521940143.412382356184930.5127906723678959.27761748469494
2005-0.491517460598350.261200925886996-0.7843252076675871.651634206797174.49055871116687-1.418016639963893.70953453562121
20060.937540832345622.281894762660890.3510127685533922.152941336659263.8052360405882-3.641462815126595.88716292568077
20070.361986059761573.1450617494392.301103528296341.902676256223180.974267671495164-2.585587179407276.09950808580798
2008-2.55888380909384-8.06170238790549-5.25732575898319-0.162343127424261-5.619987312325634.33456058749063-17.3256818082418
2009-1.53980688411006-34.2156642279461-9.726111671385812.20091457780908-26.948043044656315.7310554236332-54.497655826656
2010-0.91927816268274621.92795081888617.817590601268815.19548143361204-30.346163598346417.159832742331120.8354138350689
2011-1.09157416423773-8.43431469924565-8.043338942801565.86984092019203-4.69548251448267-4.17209395470499-20.5669633552806
2012-0.6392754023047070.486783736306466-1.55926350080572.02823832084196-3.589376134080211.10383802220993-2.16905495783226
20130.382186414204559-3.31742838839921-1.07558954681758-0.1622330629543861.063163752754791.71436631300173-1.3955345182101
20140.2749362142959249.7746732891274514.5708374038052-0.2651292366497094.0359160267842-0.91904759171358427.4721861056495
2015-0.124322997945619-0.5366650557980234.823549829639150.8098638358896943.30618136243211-1.870310840566286.40829613365102
2016-0.4024645198439494.240039708916842.59129839989871.755876946904722.408182037839860.97552993411140311.5684625078276
2017-0.5832099072585535.426669285810293.316506542975742.045749867870642.097916673093260.99620964945289413.2998421119443

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The above chart shows Gross Output in the Construction sector broken out by the KLEMS inputs. Unlike the Manufacturing sector in the previous section, where the trend in gross output was predominantly explained by changes in services inputs, the growth in Gross Output in the Construction sector is mainly explained by changes in material inputs and MFP as well as services. During the earlier years, Gross Output remained below the 20% level, however it was during the recessionary period that the worst of the impact was felt when Gross output  fell by over 60%. This is mainly explained by the large fall off in labour input as well as the negative contribution from materials. The year 2010 saw Gross Output recover largely driven by the increased contribution from materials and services. A spike occurred in Gross Output again in 2014, where growth rose above 20%. This is predominantly due to the increased contribution from materials and services.  A steady fall had already occurred in Gross Output from 2008 to 2011 and this is clearly associated with the falling contribution from services.

EnergyMaterialsServicesCapital ServicesLabour InputMultifactor ProductivityGross Output
20001.288844562295020.1964543877192561.142751340537866.235115918134481.80429446505276-6.036399553732544.63106112000684
2001-0.9816112553213360.48227986885454-2.593875550987225.5101715181920.414490519121777-8.81425363463556-5.98279853477581
2002-0.2800251909488210.3037003407686491.258906192852252.808418968107240.174769527578786-2.164438709920652.10133112843745
2003-0.156185357814457-0.216985506016703-0.2693084895685751.717549329497460.118207639463887-1.9861879969159-0.792910381354279
2004-0.2877398766197311.795135480049696.460418021654130.7281045237465371.10626893034728-0.3225626297479449.47962444942996
2005-1.09901605057475-0.831681396407357-3.81123813446021.881451181932331.77347164942048-0.473568391950334-2.56058114203984
2006-1.312376928391972.498612103211159.739741197191063.041300826604411.127226662728540.29844618525210215.3929500465953
20071.42652839941925-0.4226543558787520.09921593935218263.038052545072181.685204720062532.668193765444198.49454101347158
2008-0.673183700988225-2.19365188017217.023928313113461.522517481082670.176538035474076-4.504716781113941.35143146739593
20090.8498021477167140.38460541943712-2.95147109615828-1.24510149746804-4.01739989616878-1.79307086390271-8.77263578654398
2010-1.26984529784835-1.92816469028790.969796140552877-2.042601584135161.489543628516311.2802094755351-1.50106232766712
2011-0.3478319748071830.09929753488211434.26117200301305-0.57002836234871-0.00404627186845338-0.1906322636677313.24793066520309
2012-0.09092671754243740.6588409648028990.062758565459246-0.2889981043294160.207608644178792-0.605313283749719-0.0560299311806359
20130.6386350513199240.572002766281252-8.022132414153261.663858901283880.652721803497122-2.04909667480058-6.54401056657166
2014-0.917392793509249-0.872497047639288-1.968283258117551.153858493515430.5578665952621022.234534648094380.188086637605825
20150.343067421902480.1926472313451231.676804185478993.874922138908570.7498001045085860.2413207964119777.07856187855573
2016-0.4274983459772070.2663307048532391.142545152625922.208108577943890.2341700354270950.123214924236673.5468710491096
2017-0.6217950535401-0.0389406027745226-0.03170694310474253.459618507428130.781680558981896-4.41596216897386-0.867105701983199

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The chart above shows Gross Output in the Wholesale and Retail sector up to 2017.  The various factor inputs that explain productivity changes in the KLEMS framework are presented. From 2000 to 2003, the large swings in Gross Output during this mini recession are associated with increases and decreases in capital services. From 2004 to 2006, the volatility in Gross Output results in positive and negative contributions from services. Gross Output declined consistently from 2006 to 2009, largely attributed to the recessionary period where falls in MFP occurred over the four-year period. Growth resumed from 2009 to 2010 and is explained by the increased labour input and MFP. The latter years of 2015 to 2017 saw Gross Output decline mainly because of the declining contributions from MFP and capital services.

EnergyMaterialsServicesCapital ServicesLabour InputMultifactor ProductivityGross Output
20000.129651845982713-0.507167002142539-1.985287924782184.676002270882490.247531415142644-4.79601962750105-2.23528902241792
20010.1344975727337992.04385600734767.131858294141863.8872598087250.443857554340929-2.7127546629348710.9285745743543
2002-0.0870653872421763-0.42250431812398511.44694714049672.449484048960660.3103889164038950.88121711992400214.5784675204191
20030.0217395554964748-2.96131772801605-8.229944534328181.26154220186032-1.09177750712457-4.62881457265672-15.6285725847687
2004-0.357691925032495-3.15172053419949-10.69243283702261.54318350552199-0.4621412151752474.42053356045655-8.70026944545133
20050.07913705858026180.84604539502871815.58617388217592.022561653826191.009577661636191.373994831084320.9174904823316
20060.4274493298914251.11398709644215.999144624708612.444906853178070.4114494590539761.7126261958643712.1095635591386
2007-0.007068723167763670.376021657168087-10.83266049943152.4878779089676-0.05301492220625154.30182714602318-3.72701743264666
20080.526518722851619-4.7077299715546619.39059843581122.334867227109160.463946030027513.0154433936201721.023643837865
2009-0.9870107192417729.97936690768562-0.05346734271103131.42878300839934-0.0122115653352078-1.437714550052068.91774573874488
2010-0.13914720879556-2.2782242910919820.02535777737911.37801148432545-1.823309109559882.9770430551074920.1397317073646
2011-0.0712012378910024-2.39890514336958-3.830577251962941.549536544213380.387421522460658-1.10534198912967-5.46906755567915
20120.0705288487218086-0.28229783020087327.09089923963222.904184703387780.179039336215697-3.1394389891238126.8229153086328
20130.3741722256120511.14135559063663-4.414356669811782.191509148713490.429845026984009-0.0917318969052513-0.369206574770858
2014-0.066112812274434-0.19295958530743712.68751762715692.63072694258934-0.003271550404512391.0827640335763816.1386646553362
2015-0.01019108511999210.9975125183025022.105367422148734.047059322686690.172630671921525-0.9347571331960296.37762171674343
2016-0.04399433261946790.40807394579424611.60744206311424.072698373791950.421306937469475-2.8843214274616713.5812055600888
2017-0.0752842873072140.03852167749816341.757760453598593.007472071453270.5989767648378290.4673429550957655.7947896351764

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The above chart shows Gross Output with the various explanatory factors in terms of intermediate inputs (E,M,S)and factor inputs (K,L) in the Information and Communication sector. The largely volatile nature of Gross Output in this sector is largely associated with the large swings in services over the entire 17-year period. One large fall in Gross Output occurred in 2003, due to the dot-com bust. Another large fall in Gross Output occurred between 2010 and 2011, possibly linked to the recessionary period. A third large fall in Gross Output occurred between 2012 and 2013. Otherwise the results for the sector are strongly positive with services being the significant input right through the series.

EnergyMaterialsServicesCapital ServicesLabour InputMultifactor ProductivityGross Output
20001.87060969683577-0.1413109292910736-0.10770372616651311.551597001751.29550140536545-2.628319349981272.01037409851237
2001-2.171717433439492.304630987776951.420666711351051.03400150595309-0.01715061917017240.5634690639368693.13390021640829
2002-0.213516144202311-0.232669423697097-0.1838001971634140.6123862458265210.296904738781539-1.04811234027199-0.76880712072675
2003-0.577422485484663-0.8904573813926381.949253499840810.03495612915518891.766053162975271.061702271163693.34408519625766
2004-0.7905916319170392.815766987198181.77027554870635-0.195503306667894-1.673160011405151.347444502711633.27423208862608
2005-0.751609628449874-9.08374560749585-0.7544151507430840.1981016910021622.07851720247259-1.10951781489199-9.42266930810604
20060.0525126827175326-2.386556965178261.506755677540420.2886192848285512.06841114137118-0.4972892383349011.03245258294452
20070.2286205046377962.069559058644042.131622126081550.2968008493853443.40724466297850.03241570205820698.16626290378544
20080.02235685565424314.743735081111394.257945829205470.186224429810381-2.474791717103032.225252543105958.96072302178441
20091.56865444580021-8.4745789146782-0.275694794419914-0.16162178998876-1.40731955968754-1.95633515478494-10.7068957677591
2010-2.38910555872061-7.69487118326766-1.79975752834338-0.114964371675352-1.473226736437410.196140607068443-13.275784771376
2011-0.379658381827954-23.5863344738207-4.27822648581871-0.122822187876475-2.984151150941394.97322056948506-26.3779721108002
20120.8697923109136224.827701045495462.39819417343879-0.3012614551490211.14036798281131-1.576132797373147.35866126013702
20130.605350084731072-2.28000552095339-3.116278228808620.00464419690378584.99480444674272-0.1635087383539370.0450062402616248
20140.3057822032005172.179426843113450.729999057066120.1278046700704993.86394755244303-0.4296553956232236.77730493027039
20150.0972908216193880.550492825329378-2.094224551743930.4233675220230781.07380722866921.590874048253691.6416078941508
2016-0.4352305535154720.7554352473591981.341998545779640.2780244124480912.693829104766780.5545371529697155.18859390980795
2017-1.044515950663440.6637214182807411.17907283416976-0.02186305654862.507856972554860.7302080043165514.03475141560192

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The trend in Gross Output in the Accommodation and Food sector broken out by the KLEMS inputs is shown above. It differs from the trend in other Economic Sectors presented in this Chapter where the impact of services inputs largely explains the overall trends. For the Accommodation and Food sector, productivity changes are mainly explained by changes in materials being consumed in the production process. Between 2004 and 2005, Gross Output fell mainly driven by falls in materials. During the recessionary period, a sharp fall occurs in Gross Output from 2008 to 2011 and this is clearly explained by the falling contribution from materials as fewer customers result in lower production. From 2013 to 2017, the slight swings in gross output growth are explained by the contribution from labour as opposed to materials.

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The Quality adjusted labour input [1] differs from conventional labour input as it weights the hours worked by the earnings of workers. The earnings of workers are stratified by economic sector and within the sector by age, education and gender thus enabling a more comprehensive examination of labour input. More details of the methodology followed can be found in the appendix.

In the section below, graphs are presented showing the growth in hours worked versus the quality adjusted labour input. Further graphs are also presented on labour composition, which attempt to measure the quality of the workforce.



[1] CSO would like to acknowledge the contribution to the research into QALI measures of Tamsin Greene-Barker while on a graduate placement in the Office

 

X-axis labelQuality Adjusted Labour InputGrowth in Hours worked
20001.160220886211711.16022088621171
20011.053443602223441.06066543204569
20021.005046827947721.00615831237597
20031.026102731667451.03035856521742
20041.099352886145961.11016558701082
20051.138376677800441.14465557362428
20061.103467456889561.11743536630453
20071.023903587991831.02813364020369
20080.9084380891112010.866998508770908
20090.8024248916475080.633141111865753
20100.7915562097379730.644377770662053
20110.9609829220837180.923764370523268
20120.9430475475781770.920708237092349
20131.027593345908481.03612232325252
20141.145361705157831.17144786503572
20151.140545755639081.1550959555651
20161.09620828529491.10699138638153
20171.077501688905441.09276586374828

The chart above shows growth in hours worked and the quality adjusted labour input, known as QALI. It is clear from the graph above that both hours worked and QALI followed a similar pattern up until 2008. From 2008 to 2013, clear differences emerge between the two measures. At the height of the recession from 2009 to 2011 in the Construction sector, the fall in hours worked was much greater than the fall in QALI. Growth in hours worked fell more sharply as this measure does not account for the education levels of those working in the sector, while QALI does. The gap between the two measures indicates that the majority of those who were laid off during the period were those who had a lower level of education. By 2012 and 2013, the gap between growth in hours and QALI narrowed, perhaps suggesting that some of those low skilled workers who had lost their jobs, were finding jobs elsewhere. From 2015 onwards, growth in hours worked rose above QALI, perhaps leading to the conclusion that as the economy recovers, the sector is hiring people with a lower level of education.

Growth in HoursLabour CompositionQuality Adjusted Labour Input
20000.16022088621171200.160220886211712
20010.0606654320456936-0.007221829822250610.053443602223443
20020.00615831237596809-0.001111484428249380.00504682794771871
20030.0303585652174179-0.004255833549967170.0261027316674507
20040.110165587010818-0.01081270086485490.0993528861459629
20050.144655573624278-0.006278895823834230.138376677800444
20060.117435366304527-0.01396790941497050.103467456889557
20070.0281336402036949-0.004230052211867450.0239035879918275
2008-0.1330014912290920.0414395803402925-0.0915619108887994
2009-0.3668588881342470.169283779781755-0.197575108352492
2010-0.3556222293379470.14717843907592-0.208443790262027
2011-0.07623562947673220.0372185515604503-0.039017077916282
2012-0.07929176290765140.0223393104858282-0.0569524524218232
20130.0361223232525241-0.008528977344040680.0275933459084834
20140.171447865035723-0.02608615987789810.145361705157825
20150.155095955565103-0.01455019992602650.140545755639076
20160.106991386381531-0.01078310108663330.0962082852948982
20170.0927658637482767-0.01526417484283790.0775016889054387

The chart above shows QALI decomposed into Labour composition, otherwise known as labour quality, and hours worked. The early years were characterised by QALI and hours worked growing at a similar rate, however it is during the recessionary period that labour quality begins to make an impact. From 2009 to 2012, labour quality increased, as many lower educated workers left the sector. By contrast since the recovery period from 2013 onwards labour quality has decreased, suggesting that the sector is recruiting less educated workers.

X-axis labelQuality Adjusted Labour InputGrowth in Hours worked
20001.057080461602671.05708046160267
20011.011176856201071.01195565642171
20021.004388595050721.00494486659101
20031.00340427008231.00362464015936
20041.034884876262381.03601000800196
20051.058239079817491.05623693794148
20061.033164556658291.03564929098343
20071.056027068819141.05697324386441
20081.005334657354231.00561629552069
20090.9110300201698760.881137844718356
20101.04430849129431.05009026942895
20110.9998737988435810.999862368649446
20121.006487227727621.00735409159247
20131.020779770723111.023625441743
20141.017799475667581.01906931079872
20151.023309110302161.02492144616997
20161.007067561433281.00784008049489
20171.023722028480971.02609806491006

The chart above compares growth in hours worked and QALI in the Wholesale and Retail sector. It is clear once again from the graph above that both hours worked and QALI followed a similar pattern up until 2008. Between 2008 and 2009, differences emerge between the two measures, however these are not as pronounced as in the Construction sector. At the height of the recession from 2008 to 2009, the fall in hours worked was slightly greater than the fall in QALI. The gap between the two measures highlights the fact that it was the lower-paid and lower educated workers who were most affected by the recession. For the remaining period, both hours worked and QALI follow a very similar pattern.

Growth in HoursLabour CompositionQuality Adjusted Labour Input
20000.057080461602672500.0570804616026725
20010.011955656421708-0.0007788002206428060.0111768562010652
20020.00494486659100946-0.0005562715402911420.00438859505071831
20030.00362464015935893-0.000220370077057330.0034042700823016
20040.0360100080019572-0.00112513173957440.0348848762623828
20050.05623693794147730.002002141876013660.058239079817491
20060.0356492909834265-0.002484734325136410.0331645566582901
20070.0569732438644113-0.0009461750452754990.0560270688191358
20080.00561629552069443-0.0002816381664643150.00533465735423011
2009-0.1188621552816440.0298921754515198-0.0889699798301242
20100.0500902694289549-0.005781778134657630.0443084912942973
2011-0.0001376313505544460.000011430194135631-0.000126201156418815
20120.00735409159246525-0.0008668638648485770.00648722772761667
20130.0236254417430046-0.002845671019897190.0207797707231074
20140.0190693107987234-0.001269835131142210.0177994756675812
20150.0249214461699712-0.001612335867809510.0233091103021617
20160.00784008049489415-0.0007725190616105770.00706756143328358
20170.0260980649100611-0.002376036429092790.0237220284809683

The chart above shows QALI analysed by Labour composition and hours worked. The early years were characterised by QALI and hours worked growing at a similar rate, however, in line with the Construction sector above, it is during the recessionary period that labour quality begins to be more apparent. Labour quality increased, as many low-quality workers left the sector. In contrast by 2010 labour quality decreased, suggesting that firms in the sector were again recruiting workers with lower levels of education. From 2010 onwards, QALI and hours worked follow the same trend.

X-axis labelQuality Adjusted Labour InputGrowth in Hours worked
20001.040939219815891.04093921981589
20011.022632475327581.02161993102521
20021.014243614567671.01330515796947
20031.085787951021261.08243571116009
20041.010010063839771.01016732134117
20051.045732404073221.04531542235014
20061.069471831539181.06776760705565
20071.028310651470711.02859494661762
20081.044486952255261.04434837883824
20091.007316094290271.00761385656369
20100.8389508742153110.817443605313026
20110.9687452029533930.95957816341946
20120.9889399874854090.988163347504528
20131.03206214540071.03445913125567
20141.036043729338141.04488230645725
20151.013148358700611.01375343266433
20161.018843562552851.01859799812396
20171.065613749361851.06975176996388

The above graph compares growth in hours worked and QALI in the Education sector. It is clear once again from the graph that both hours worked and QALI followed a similar pattern up until 2008. Between 2008 and 2009, relatively smaller differences emerge between the two measures. The recessionary period, particularly between 2009 and 2010 saw the fall in hours worked slightly overtake the fall in QALI, resulting in some less educated people suffering job losses during the period, however the impact is not as pronounced as in the previous two sectors. For the remaining period, both hours worked and QALI follow a very similar pattern, however a slight difference can be seen between 2013 and 2015, where hours worked grow faster than QALI.  In general, given the high levels of educational attainment in this sector major deviations between the QALI and hours worked measures are not expected.  Accordingly, we observe in the later years the sector seems to have recovered with QALI and hours worked growing at the same rate.

Growth in HoursLabour CompositionQuality Adjusted Labour Input
20000.040939219815891800.0409392198158918
20010.02161993102520540.001012544302370080.0226324753275755
20020.01330515796947340.0009384565981951360.0142436145676685
20030.0824357111600880.003352239861176720.0857879510212647
20040.0101673213411737-0.0001572575014081590.0100100638397655
20050.04531542235013620.0004169817230810220.0457324040732172
20060.06776760705565230.001704224483526810.0694718315391791
20070.0285949466176165-0.0002842951469026470.0283106514707139
20080.04434837883824060.0001385734170233910.044486952255264
20090.00761385656368896-0.0002977622734239290.00731609429026503
2010-0.1825563946869740.021507268902285-0.161049125784689
2011-0.04042183658054030.00916703953393339-0.0312547970466069
2012-0.01183665249547250.000776639980881844-0.0110600125145907
20130.0344591312556664-0.002396985854963510.0320621454007028
20140.0448823064572494-0.008838577119110850.0360437293381386
20150.0137534326643318-0.0006050739637259990.0131483587006058
20160.01859799812395520.0002455644288934520.0188435625528487
20170.0697517699638839-0.00413802060203450.0656137493618494

The chart above shows QALI decomposed into Labour composition and hours worked in the Education sector. The only years where it might be deduced that workers with lower educational attainment have left the sector is in 2010 and 2011, when labour quality is positive. There were minor falls in the quality or educational level in 2014. This is evident by the negative labour quality witnessed in 2014, this could have been due to rising employment vacancies in other sectors which resulted in problems for recruitment in the Education sector.

X-axis labelQuality Adjusted Labour InputGrowth in Hours worked
20001.039895136434531.03989513643453
20011.02561296319431.02621852504545
20021.00506989171091.00556038103288
20031.008738549808161.00920818855874
20041.026082032317381.02761117384089
20051.052648067167641.05355776413884
20061.041468494229191.04378748677333
20071.034383904809821.03600068836821
20080.9843831439232190.982495569212576
20090.9253401307114530.905551738734465
20100.9270741952921090.911235190992892
20110.9890898895900420.987278035438191
20120.9959070715533060.995294389232435
20131.028997681479331.03280842191215
20141.031411323097471.03498756409596
20151.04082013512191.04417249090406
20161.029982710901771.03268055861166
20171.033751727834541.03704876516914

The graph above looks at growth in hours worked and QALI for the economy. Between 2008 and 2010, the impact of the recession is felt, and a picture emerges where lower educated people suffered the brunt of the sharp slowdown in the economy. This is evident where the trend in hours worked falls faster than the fall in QALI.  In the latter years, particularly since 2013, growth in hours worked has risen slightly faster than QALI. This is an indication of the economy approaching full employment, where capacity constraints exist in recruiting higher skilled people.

Growth in HoursLabour CompositionQuality Adjusted Labour Input
20000.039895136434528400.0398951364345284
20010.0262185250454516-0.0006055618511469070.0256129631943047
20020.00556038103288303-0.0004904893219821460.00506989171090089
20030.00920818855874272-0.0004696387505860320.00873854980815669
20040.0276111738408855-0.001529141523504360.0260820323173812
20050.0535577641388369-0.0009096969711965830.0526480671676404
20060.0437874867733321-0.002318992544138030.0414684942291941
20070.0360006883682056-0.00161678355838690.0343839048098187
2008-0.01750443078742410.00188757471064294-0.0156168560767812
2009-0.0944482612655350.0197883919769885-0.0746598692885465
2010-0.08876480900710850.0158390042992175-0.072925804707891
2011-0.01272196456180890.00181185415185048-0.0109101104099584
2012-0.004705610767564590.000612682320870195-0.0040929284466944
20130.0328084219121507-0.003810740432817150.0289976814793336
20140.034987564095964-0.003576240998493190.0314113230974709
20150.0441724909040562-0.003352355782156650.0408201351218995
20160.0326805586116632-0.002697847709894670.0299827109017685
20170.037048765169144-0.003297037334601960.0337517278345421

The final graph shows QALI decomposed into Labour composition and hours worked for the economy. The only years where it could be indicated that low quality workers have left the sector is in 2009 and 2010, when labour quality is positive. The latter years from 2013 to 2017 are characterised by slightly negative contributions from labour composition. As stated above, this could be an indication of capacity constraints in various sectors, where some sectors are unable to hire suitably educated people, or indeed the requirement is for lower educated workers.  Or it could even be due to the increasing opportunities abroad that reduces the supply of highly educated people in Ireland.

Go to the next chapter: Summary