Intersectoral Labor Mobility and the Growth of the Service Sector

By Donghoon Lee, Ken Wolpin. 2006

445 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies

View Paper: https://www.semanticscholar.org/paper/bfad85888b3bec503128b241858c7a8af3ddff5a

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Citations in the corpus

Dynamic Discrete Choice Structural Models: A Survey (2010, background): “Uimt(1) = θRS log (Smt)− θRN log 3 1 + P j 6=i ajmt ́ − θFC,i − θEC,i(1− aim,t−1) + ωm + εimt (60)”
The impact of structural empowerment on individual well-being and performance: Taking agent preferences, self-efficacy and operational constraints into account (2010, background): “The current study seeks to address the three aforementioned gaps particularly as they apply with respect to the empowerment of service workers (e.g. customer service agents), a key segment of the workforce in most Western countries (Lee and Wolpin, 2006).”
Building Bridges Between Structural and Program Evaluation Approaches to Evaluating Policy (2010, unknown): “…Duflo (2004), Jeremy Lise, Shannon Seitz, and Jeffrey Smith (2005, 2006), James Albrecht, Gerard Van den Berg, and Susan Vroman (2009), or Donghoon Lee and Wolpin (2006). of interest.20 Because of the evaluation problem, it is very difficult to identify the joint distribution because we generally…”
Estimating a Dynamic Adverse-Selection Model: Labour-Force Experience and the Changing Gender Earnings Gap 1968–1997 (2008, methodology): “Etfdnmtdnmt 1[4Snt 4 0mt m4HC nt 4z 0 ntBm5 m4 dn;mt+1] j z nt; Hn;t; h ntg = 0; (30) where 4HC nt = (4hnt;4h(2)nt;4hnt 1; : : : ;4hnt )0 and m = ( m1; m2; m31; : : : ; m3 ).”
Emotional labour in service work: Psychological flexibility and emotion regulation (2012, background): “The service industry has become the largest employment sector in most developed countries (Lee and Wolpin, 2006).”
Structural Change in a Multi-Sector Model of Growth (2007, unknown): “The first term in the right side of (14) parallels the term in ( 13 ) and so represents the employment needed to satisfy the consumption demand for the manufacturing”
Learning Your Comparative Advantages (2014, background): “32For workers with some college education and completed college education, we focus on white-collar, blue collar and pink-collar jobs as in Lee and Wolpin (2006).”
Gender Gaps and the Rise of the Service Economy (2017, methodology): “Following Aguiar and Hurst (2007a), we divide our sample into cells defined by two genders, five age groups (21-29, 30-39, 40-49, 50-59, 60-65), and four education groups (less than high school, high school completed, some college or more) and compute average population shares in each of the resulti”
EVOLUTION OF GENDER DIFFERENCES IN POST-SECONDARY HUMAN CAPITAL INVESTMENTS: COLLEGE MAJORS (2014, unknown): “…specific college fields of study, rather than by schooling years only (as in e.g. Heckman, Lochner, and Taber (1998) or Heathcote, Storesletten, and Violante 2010), or years of schooling combined with white, blue, and pink collar occupation categories (as in Lee 2005 and Lee and Wolpin 2006).”
Dynamic Female Labor Supply (2009, unknown): “Last, but not least, making only employment a choice variable keeps the model as close as possible to EW and keeps it simple to solve.”