We analyze investment decisions when information is costly, with and without delegation to an agent. We use a rational-inattention model and compare it with a canonical signal-extraction model. We identify three "investment conditions". In "sour" conditions, no information is acquired and no...

The shift away from manual and routine cognitive work, and towards non-routine cognitive work is a key feature of labor markets. There is no evidence, however, if the relative importance of various tasks differs between workers performing seemingly similar jobs in different countries. We develop...

There is a dearth of research on the impact of technological change over employment in least developed countries (LDCs) embarking on globalization and consequent international technological transfer. Using a panel of 1,940 Ethiopian firms over the period 1996-2004 and deploying GMMSYS estimates,...

One of the less well-understood channels through which technology affects labor market outcomes is the creation of new types of work. In this paper, we investigate the emergence of new occupations by comparing various classifications of occupations and predicting probabilities to access them...

This paper focuses on identifying determinants of "automatability risk", namely the propensity of EU employees being in jobs with high risk of substitutability by machines, robots or other algorithmic processes, and uncovers its impact on labour market outcomes. Using relevant data on tasks and...

We analyse impacts of the rising labor force participation of women on the gender wage gap. We formulate and structurally estimate an equilibrium model of the labor market in which the elasticity of substitution between male and female labor is allowed to vary depending on the task content of...

We analyse impacts of the rising labor force participation of women on the gender wage gap. We formulate and structurally estimate an equilibrium model of the labor market in which the elasticity of substitution between male and female labor is allowed to vary depending on the task content of...

Technological developments are likely to bring many new opportunities, which may be even larger in emerging economies and may allow them to “leapfrog” certain stages of development. Notwithstanding these opportunities, emerging economies face significant challenges associated with rapid...

This paper presents a new approach to estimate the green potential of occupations. Using data from O*NET on the skills that workers possess and the tasks they carry out, we train several machine learning algorithms to predict the green potential of U.S. occupations classified according to the...

The current study aims at analyzing the impact of technological change and innovations on the labor market in Egypt. Using the panel data of Egyptian Labor Market Panel Survey (ELMPS) 1998, 2006, and 2012 as well as the initial year of ELMPS 1988, a quadratic form of equation for employment is...