Index

Skill Mismatch in Labor Markets

ISBN: 978-1-78714-378-4, eISBN: 978-1-78714-377-7

ISSN: 0147-9121

Publication date: 11 May 2017

This content is currently only available as a PDF

Citation

(2017), "Index", Skill Mismatch in Labor Markets (Research in Labor Economics, Vol. 45), Emerald Publishing Limited, Leeds, pp. 447-455. https://doi.org/10.1108/S0147-912120170000045019

Publisher

:

Emerald Publishing Limited

Copyright © 2017 Emerald Publishing Limited


INDEX

Accounting
, 64, 100, 144–146

Administrators
, 142

Admission to universities, reforming activity in
, 181

Adult Literacy and Lifeskills Survey (ALL)
, 175

Adult skills, survey of
, 49–50

“Advanced vocational education” credentials
, 60

A-levels grades
, 18

Allocation of talent
, 204

Allocation on the labor market
, 306

Allocative efficiency
, 201, 202, 213, 222, 223, 224, 226

American Community Survey (ACS)
, 151

Anthropology & Archeology
, 147

Apparent matching (AM)
, 245, 254, 267

Apparent overeducation (AO)
, 245, 254

Assignment theory
, 86

Average marginal effects (AMEs)
, 364, 369, 375, 383, 388, 403, 406

“Bang-for-the-buck”
, 203, 229

Biology
, 152

Biotechnology industry
, 155

Botany
, 147

Career mobility theory
, 87, 99

CEDEFOP ESJS
, 292, 335

Cedefop European skills and jobs survey (ESJS)
, 84, 87–89, 295, 413

Cognitive decline
, 307

Cognitive skills
, 45, 175, 176, 177

schooling and
, 177

College degree, choice of
, 130

Competences and skills
, 187

Compulsory secondary school
, 180

Concentration curves for three hypothetical majors
, 138

Confirmatory Factor Analysis
, 440

Deconstructing theories of overeducation in Europe
, 81

Cedefop European Skills and Jobs survey (ESJS)
, 87–89

decomposition analysis
, 104–112

endowments differences between matched-overeducated workers
, 104–110

unexplained wage differences between matched and overeducated workers
, 110–112

earnings regressions, estimation of
, 100–104

empirical methodology
, 95–99

key variables and summary statistics
, 89–95

magnitude and robustness of wage penalty estimates
, 84–86

ORU approach
, 85

potential determinants of overeducation
, 86–87

wage decomposition approach
, 81

Destination of Leavers of Higher Education (DLHE)
, 3, 7, 10

Digital Taylorism
, 46

Distinctiveness
, 131, 132–136, 142–147

Doctoral education in Italy
, 247–250

Double selection model
, 4, 14, 21, 25

Earnings
, 173, 176, 181, 186, 188, 190

inequality
, 176, 181

by subject of study and occupation
, 13

Earnings inequality
, 176

Earnings model

IV estimates
, 192

OLS estimates
, 190–191

recursive system estimates
, 194

Economics
, 131, 150

Educational mismatch
, 89, 351, 352

Educational reforms
, 176–177, 179, 188, 189

Educational system, governmental design of
, 280

Education–job mismatch
, 245, 250, 261–262, 272

Education reforms
, 195

Empirical model
, 218–220

Endogeneity of overeducation
, 246, 250, 260

English
, 144, 150

EU New Skills for New Jobs Strategy
, 333

Europe, overeducation in. See Deconstructing theories of overeducation in Europe

European Centre for the Development of Vocational Training (Cedefop)
, 84, 280, 300, 308, 311, 417

European skills and jobs survey (ESJS)
, 84, 87–88, 280, 282, 295, 413

Exclusion restriction
, 260

Executives
, 142

Formal education
, 360, 361

F-statistic
, 188, 191

Gender
, 98

Gender differentials
, 184

General Psychology
, 146–147

Genuine matching (GM)
, 245, 246, 267

Genuine overeducation (GO)
, 246, 254

Geographical distribution of skill mismatch
, 300

Graduate and non-graduate occupations in major groups
, 1–4, 73–77

Graduate jobs
, 41, 57

concept of
, 44–46

deployment of labor in
, 63–65

distribution of
, 63

higher education system, role of
, 65–67

indicators of
, 47–49

Graduate job skills
, 43, 45

Graduate labor, demand for
, 46–47

Graduate labor market
, 43, 46, 67, 110

Hannah–Kay index
, 137

Harmonization of occupations across waves of the national survey of college graduates
, 170–171

Heckman selection model
, 3, 14

Herfindahl Index
, 136, 151, 219, 223

Higher educated adult employees, OLS estimates of
, 117

Higher education
, 7, 18, 42, 44, 45, 51, 53, 54, 55, 59, 60, 62, 65–67, 68, 177, 289, 296, 301

Higher Education Requirement Index (HERI)
, 56, 57

Higher Education Statistic Agency (HESA)
, 7, 19

Higher skill mismatch
, 202, 222

History (college major)
, 144, 150

Hourly wage
, 59, 185, 186, 190

Human capital
, 173, 200, 203, 229

returns to
, 174

Human capital investment

and skill development
, 349–351

skill mismatch and
, 351

Human capital theory (HCT)
, 86, 113, 208, 284, 349

Human resource management
, 336, 430

Index of productivity in industry
, 213

Industry-level regression
, 218, 239

Inefficient signaling of skills
, 282–283

Informal learning
, 300, 310, 321, 322, 324, 326, 347, 348, 350, 353, 357, 360, 366, 367, 369, 375, 380–382, 383, 384, 385, 388, 389, 390, 405

Informal learning-on-the-job activities
, 335

Initial skill mismatches
, 281, 367, 380, 388, 389, 390, 428

International Adult Literacy Survey (IALS)
, 175

International Standard Classification of Education (ISCED)
, 204

International Standard Classification of Occupations (ISCO)
, 204

ISCO(HE)2008
, 43, 54–58, 60

ISCO framework
, 43

ISCO groups
, 48

Internet
, 155, 417

Inverse Mills ratio
, 24, 268

Italian National Institute of Statistics (ISTAT)
, 244, 252, 253, 268

Job autonomy
, 52, 329–333

Job Competition Model
, 86, 87, 98

Job complexity
, 410, 413, 416, 418, 419, 425, 427–429, 430, 431, 432

Job control
, 311, 410

Job-crafting
, 431

Job design and skill development in the workplace
, 409

data and measures
, 417

descriptive statistics
, 441–445

empirical model of workplace learning
, 414

job complexity and skill development, changes in
, 416

learning, attitude to
, 417

workplace changes, workplace dynamism
, 416

estimation and robustness checks
, 418

estimation results
, 418–422

robustness checks
, 422

career and skill development
, 429–431

country and occupation
, 428–429

unobservable characteristics
, 422–428

Job dissatisfaction
, 59, 60

Job–education match
, 246

Job mismatch, research on
, 351

Job-related learning
, 347, 353, 362, 389

Job satisfaction
, 58, 60, 210, 246, 310, 328–329

mismatch and
, 209

overqualified/overskilled workers
, 306

skill mismatch on
, 209

Job/skill matching
, 299

Job–skill mismatch
, 353, 359, 366, 367

Job-skill requirements
, 82, 83, 108

k-medians cluster analysis
, 57

Knowledge-based capital (KBC)-intensive sectors
, 228

Labor market outcomes
, 67

of matched and mismatched graduates
, 58–63

“Lacking qualities”
, 284

Learning by doing
, 285, 321, 326

“Learning by interaction”
, 313, 321, 326

“Learning by yourself”
, 321, 326

Learning motivation
, 372

Learning opportunities
, 411

Legislated compulsory education
, 174

Lifelong learning
, 346, 391

Limited Information Maximum Likelihood (LIML)
, 190

Linear probability model
, 30, 32, 33

Literacy, defined
, 178

Literature on skill mismatch
, 82

Local Average Treatment Effects (LATE) interpretation
, 193

Log hourly wages
, 59

Longitudinal Destination of Leavers of Higher Education (LDLHE)
, 3, 7, 10

Main variables, definition of
, 124–127

Managerial quality
, 226–228

“Match”, defined
, 425

Math, IT, Physics and Engineering (MIPE)
, 4, 7–8, 11

Mathematics
, 144

Medium-educated adult employees, OLS estimates of
, 121

Mid-level managers
, 142

Mills ratio
, 16

Minor group titles in major groups
, 1–4, 78–79

Mismatch, defined
, 218

Mismatch and labor productivity
, 203

baseline results
, 220–223

data description

cross-country differences in mismatch
, 216–218

mismatch data and sample composition
, 215–216

productivity indicators
, 213–215

empirical model
, 218–220

extensions and robustness tests
, 223–228

measuring mismatch
, 204–208

mismatch and productivity
, 208–213

Motivation
, 44, 372

Multivariate analyses
, 314, 360

National Survey of College Graduates (NSCG)
, 140, 141, 150–151

Non-graduate jobs
, 50, 52, 57, 60

Non-scientific occupation
, 3, 4

Non-STEM graduates
, 11, 19, 27, 31

Numeracy, defined
, 178

Nursing
, 139, 144

Oaxaca decomposition analysis
, 105, 113

Occupational distinctiveness
, 132, 144, 145

Occupational distinctiveness by college major
, 165–169

Occupational distinctiveness index (OD)
, 131, 134, 135, 147

Occupational distribution, changing, by college major
, 129

data
, 140–142

distinctiveness
, 132–136

variety
, 136–140

increasing occupational variety by major
, 147–151

reason for increase in
, 151–157

variety and distinctiveness in the national survey of college graduates
, 142–147

Occupational mismatch
, 155, 204

Occupational mobility theory
, 86

Occupational variety (OV)
, 131, 137, 139, 147, 160–164

Occupations, choice of
, 130

Oceanography
, 147

OECD countries
, 42

OECD measure of skill mismatch
, 207

OECD Survey of Adult Skills
, 200

OLS model
, 17, 20

OLS regression analyses
, 177, 246

OLS regression estimates
, 215, 219

On-the-job learning
, 350, 375, 410

substitution
, 284–285

and workers’ skill development
, 382–389

On-the-job training
, 87, 209, 281, 285

ORBIS
, 214

Ordered probit coefficients for skill development
, 400–401

Ordinary Least Square
, 14

ORU (Over-, Required-, and Under-education) approach
, 85

Overeducation
, 83, 155, 351

and overskilling, interaction between
, 245, 254

wage effects of
, 250

and wages among PhD holders
, 250–252

Overqualification
, 83, 209

effect of, on productivity
, 210

Overqualified/overskilled workers
, 306, 307

Overskilled workers
, 306, 349, 360, 366, 369, 371, 380, 382, 390

Over-skilling
, 83, 209, 212, 253–254, 268, 281, 287, 300, 351

overeducation and
, 254–255

Permanent skill-shortages
, 2

Personal attitudes
, 417

PhD education and career prospects in Italy
, 247–250

data and methodology
, 252–261

education–job mismatch
, 245, 250

overeducation and wages among PhD holders
, 250–252

R&D personnel
, 245

results
, 261

robustness checks
, 268–271

Physics
, 147

Political science
, 144

Pre-Med
, 144, 152

Primary school teachers
, 179, 193

reforming activity to
, 180

training
, 179

Problem-solving skills
, 49, 350

Productivity
, 47, 200, 306

indicators
, 213–215

in labor market
, 177

mismatch and. See Mismatch and labor productivity

of under-skilled workers
, 281

within-firm
, 201, 203, 211, 218, 220, 222, 223, 224, 227, 228

Programme for the International Assessment of Adult Competences (PIAAC)
, 43, 175, 176, 177, 178, 195, 215, 216

Pull factor
, 3, 28–32

Pull factors
, 28–32

Pull forces
, 156

Push forces
, 154

Qualification and skill mismatch
, 215, 216, 217, 219, 222, 238, 241

Qualification mismatch
, 83, 204–205, 216, 219, 239

Quota sampling
, 88, 311

R&D-focused education
, 272

R&D personnel
, 245, 248

R&D sector
, 261, 262

Reallocation
, 201, 203, 211, 213, 220, 229

Recursive system estimates
, 194

Reform variables, of education
, 179

Returns to human capital
, 188, 189, 191, 193

Robustness checks
, 31, 268–271, 422

career and skill development
, 429–431

country and occupation
, 428–429

unobservable characteristics
, 422

attitude to learning
, 425–426

initial degree of job complexity
, 427

initial mismatch
, 423–425

interaction terms
, 427–428

tenure
, 425

Robustness tests
, 223–228

Roy’s model
, 24, 27

School leavers’ educational aspirations
, 42

Science graduates
, 2–8, 10–12, 19, 21, 30–32, 35–36

Science major and occupation

push and pull factors by
, 28–29

Scientific occupation
, 3–5, 8, 10–12, 14–15, 21, 23–24, 27, 30–32, 35–36

Scientist
, 1, 4, 36

Segregation curves for three hypothetical majors
, 133–134

Self-assessment method
, 205, 206

Self-assessment techniques
, 287

Self-reported skill use
, 205

Sensitivity analyses
, 58, 314, 320, 333

Signaling theory
, 282

Skill and qualification mismatch, direct relationship between
, 201, 202, 203, 219, 237, 239, 241

Skill Biased Technical Change approach
, 416

Skill-biased technological change (SBTC)
, 46–47, 114

Skill-challenging jobs
, 348, 372

Skill change
, 312–314, 329–330

Skill deficits
, 205, 305

data and methodology
, 311–315

results
, 315

job satisfaction
, 328–329

role of the job autonomy and firm size
, 329–333

skill growth and decline
, 315–321

training and learning activities
, 321–327

theory and hypotheses
, 309–311

Skill development
, 285, 307, 308, 311, 346–350, 353–355, 356, 359, 391, 412–413, 415, 417, 419, 423, 424, 425

career and
, 429

changes in job complexity and
, 416

on-the-job learning complementarity and
, 382–389

ordered probit coefficients for
, 400

work-related learning and
, 364–382

Skill gaps
, 210, 281, 284, 300, 389, 391

Skill matching
, 280–281, 286, 287, 288, 289

Skill proficiency
, 205, 206

Skills shortages in the labor market
, 283–284

Skill surpluses
, 307, 310, 319, 330

Sociology
, 144, 154

STEM graduates
, 4, 7–8, 10, 11–12, 19, 21, 22, 24, 27, 30–32, 35–36, 155

annual earnings by
, 20

linear probability model
, 30, 32–34

Ordinary Least Square estimates
, 14

pull and push factors
, 30–32

Structural Demographic Business Statistics (SDBS)
, 214

Supervisor training
, 326

Survey of Adult Skills (SAS)
, 43, 50, 52, 65

Team-working skills
, 350

Theoretical scientific subjects
, 10

Top-level managers
, 142

Training
, 309, 321, 326–327, 347, 352, 356, 369, 371, 374, 419

different types of
, 378–380

on-the-job training
, 209, 281, 284–285, 350, 352

supervisor training
, 326

Training courses
, 309, 313, 321, 326–327

Training participation
, 356, 366

Transaction cost theory
, 285

t-tests
, 149

Under-qualification
, 202, 223–224, 227, 228

Underqualified workers
, 307

Underskilled workers
, 306, 307, 333, 334, 349, 354, 360, 369, 380, 390

Under-skilling in Europe
, 279

characteristics of workers and firms
, 287

location, education, and socioeconomic characteristics
, 287–291

type and skill needs
, 291

discussion and conclusions
, 300–302

estimation of the likelihood and magnitude of
, 296–300

explanatory variables
, 292–296

inefficient signaling of skills
, 282–283

likelihood of
, 297–299

measuring
, 286–287

on-the-job learning substitution
, 284–285

sample and database
, 285

skills shortages in the labor market
, 283–284

Unemployment rate
, 140, 141, 252, 280, 295

University access to students
, 179, 180

“Use-it-or-lose-it hypothesis”
, 307, 353

Variance inflation factor (VIF)
, 262, 265

Vocational science graduates
, 10

Wage decomposition
, 83, 104–112

Wage equation, OLS estimates of
, 117, 121

Wage gap
, 97, 112, 245, 268

Wage inequality
, 176

Within-firm productivity
, 201, 211, 220, 223, 224, 228, 239

Work-based learning
, 47, 89, 280

Worker’s perspective, skill mismatches from
, 307, 334

Work–life balance
, 84, 99

Workplace learning
, 410, 412, 414

Workplace learning, empirical model of
, 414

job complexity and skill development, changes in
, 416

learning, attitude to
, 417

workplace changes, workplace dynamism
, 416

Work-related learning and skill development in Europe
, 345, 347, 389

control variables
, 361–362

data and sample
, 354–355

dependent variable
, 355–356

estimation method
, 362–363

estimation results
, 364

endogeneity problems
, 371

heterogeneity by skill mismatch status at job entry
, 367–371

informal learning, different types of
, 380–382

measurement error and the timing of self-assessed variables
, 374–375

training, different types of
, 378–380

explanatory variables
, 356–361

human capital investments and skill development
, 349–351

on-the-job learning complementarity and workers’ skill development
, 382–389

skill mismatch and human capital investment
, 351–354

Work tasks and skill indicators
, 50–54

Zone of proximal development
, 307, 309, 310, 321, 326, 334