I am a Postdoctoral Researcher at the Department of Economics of the Universidad Carlos III de Madrid.

I obtained my PhD degree in Economics from CERGE-EI in September 2024. My supervisor at CERGE-EI was Professor Marek Kapicka. During my PhD studies, I spent 1.5 academic years at Yale Department of Economics as a visiting scholar. My host at Yale was Professor Aleh Tsyvinski.

My research interests include macroeconomics of labor markets, life-cycle modelling, technological change, family, and health economics.

Embedded in a rich heritage of four generations of Biologists and Ecologists, I am the first in my family to bring this legacy into the field of Economics. One of my current research streams introduces the state-of-the-art adaptation concepts from Biology and Ecology into the models of workers' adaptation to changing labor market environment.

CV: Open CV

Email: daniil.kashkarov@uc3m.es; daniil.kashkarov@cerge-ei.cz

RESEARCH

TEACHING

PRESENTATIONS

BioEcon

Ability to Adapt project with Carlos Botero (UT Austin, Department of Integrative Biology)

New version coming soon! Previous Version Slides

Abstract: How do workers adapt to employment in different occupations, industries, and labor markets for different education groups? What common features do labor market disruptions have that make it hard for workers to adapt? What forges the adaptive capacity of workers? To shed light on these questions, we consider a state-of-the-art economic model of workers' decision making and use it to quantitatively evaluate the predictions of adaptation theory from modern biology and ecology — sciences that study the adaptation of the most diverse entities in the universe. The universality of the results delivered by many decades of adaptation research in biology and ecology allows us to analyze the adaptive responses of workers across different contexts within a single framework, to predict the consequences of major labor market disruptions, such as automation, the introduction of AI, and climate change, and, ultimately, to make a step towards the development of a general theory of worker adaptation.

Labor & Technological Change

Disappearing Stepping Stones: Technological Change and Career Paths with Valentin Artemev (CERGE-EI)

Latest Version Online Appendix Slides SSRN Link

Abstract: What happens when disappearing jobs are intermediate steps toward high-skilled employment? We combine PSID employment histories with historical job ads data and develop a life-cycle model of occupational choice, human capital accumulation, and limited employment opportunities. Routine cognitive occupations emerge as the main stepping stones toward non-routine cognitive (NRC) work by preserving human capital relevant for NRC productivity and improving access to NRC offers later in life. The hollowing out of routine employment opportunities reduces later-career NRC employment by 4.5–5.9 percent in each year during the 2000s–2020s and lowers earnings among workers who still reach NRC.

RBTC and Human Capital: Accounting for Individual-Level Responses

Latest Version Slides SSRN Link

Abstract: What is the contribution of individual human capital responses to earnings inequality arising in the process of the routine-biased technological change (RBTC)? To answer this question, I develop a life-cycle model of human capital and occupational choice, calibrate it to the NLSY79 data, using the price series for human capital in abstract and routine occupations estimated from the cross-sectional CPS data. I find that an increase in the price for human capital in abstract occupations and a fall in its price in routine occupations associated with RBTC has a modest contribution to the evolution of variance of log-earnings — up to 10.8 per cent by the end of the working life cycle. However, the contribution of RBTC to an increase in the abstract wage premium over the lifetime of the NLSY79 cohorts is up to 28.6 per cent. The growth of the abstract wage premium is significantly dampened by the human capital responses of workers switching from routine occupations.

Family & Health Economics

Too Far to Care: Parents’ Long-Term Care Needs and Children’s Location Choices with Matthias Kredler (UC3M), Daniel Barczyk (McGill), and Fan Yang (McGill)

Work in progress NBER Poster

Horizon Europe Research Project: BB-Future

Abstract: What are the implications of a rise in the long-term care needs of parents at an older age for the lifetime location choices made by their children? Using the Survey of Health, Ageing and Retirement in Europe (SHARE), we highlight the ways in which children's location choices and parents' long-term care needs might interact. We document four key facts: (i) a steep increase in the average distance between children and parents up to age 30, followed by a flattening of the trend thereafter; (ii) substantial cross-country variation in the share of children living far from their parents, which correlates with the generosity of formal long-term care systems; (iii) evidence that most cases of co-residence are long-standing rather than initiated in response to parental health shocks; and (iv) a smaller share of co-residence episodes that arise in response to sudden care needs. Taken together, these findings provide the empirical foundation for the structural quantitative model of long-term care provision a la Barczyk & Kredler (2018, REStud) augmented by a location choice. The estimated model will allow us to assess the potential productivity losses associated with the distortion of children's location choice and to assess the implications of long-term-care and mobility-enhancing policies.