register
Gauthier Lanot

Umeå University, Sweden

IZA World of Labor is a useful set of references over a part of economics that is very diverse and crucially important to policy

IZA World of Labor role

Author

Current position

Professor of Economics at Umeå School of Business and Economics (USBE), Umeå University, Sweden

Research interest

Empirical micro-economics and econometrics, labor and public economics and public finance

Website

https://www.umu.se/personal/gauthier-lanot/

Past positions

Professor of Economics, Keele Management School, Keele University, Newcastle under Lyme, UK (Jan 2006–Dec 2012); Professor of Economics, School of Management and Economics, Queen’s University Belfast, UK (Sep 2003–Dec 2005)

Qualifications

PhD, Université Louis Pasteur, France, 1993

Selected publications

  • “The national minimum wage and the substitutability between young and old workers in low paid occupations.” The Manchester School (Forthcoming) (with P. Sousounis).

  • “Mortgage loan characteristics, unobserved heterogeneity and the performance of United Kingdom securitised sub-prime loans.” Real Estate Economics (2015) (with D. Leece).

  • “Who really wants to be a millionaire? Estimates of risk aversion from gameshow data.” Journal of Applied Econometrics 29:6 (2014): 861–879 (with R. Hartley and I. Walker).

  • “Public pension programmes and the retirement of married couples in Denmark.” Journal of Public Economics 91:10 (2007): 1878–1901 (with P. Bingley).

  • “Employer pay policies, public transfers and the retirement decisions of men and women in Denmark.” European Economic Review 48:1 (2004): 181–200 (with P. Bingley).

article(s)

  • Maximum likelihood and economic modeling

    Maximum likelihood is a general and flexible method to estimate the parameters of models in labor economics

    Gauthier Lanot, January 2017
    Most of the data available to economists is observational rather than the outcome of natural or quasi experiments. This complicates analysis because it is common for observationally distinct individuals to exhibit similar responses to a given environment and for observationally identical individuals to respond differently to similar incentives. In such situations, using maximum likelihood methods to fit an economic model can provide a general approach to describing the observed data, whatever its nature. The predictions obtained from a fitted model provide crucial information about the distributional outcomes of economic policies.
    MoreLess