Methods and documentation for Labour market and earnings

Articles, analysis, and publications

2024

  1. This documentation highlights the new version of LÆRERMOD - assumptions, equations, and implementation in Python.

2023

  1. This document provides the background of the revision that was made in 2021 in the weighting methodology for the Norwegian Labour Force Survey (NLFS), and practical and technical details behind the calculation of monthly and quarterly individual weights and yearly household weights.

2022

  1. In 2021, many changes were implemented in the Norwegian Labour Force Survey (NLFS). The sampling plan was changed to better reflect the main output goals for the survey. It included moving to an individual sampling unit, allowing new stratification variables and allocations.

  2. The labour force surveys (LFSs) on all Eurostat countries underwent a substantial redesign in January 2021. To ensure coherent labour market time series for the main indicators in the Norwegian LFS, we model the impact of the redesign.

  3. In 2021 The Norwegian Labour force survey (LFS) went through a substantial redesign in accordance with the new regulation for integrated European social statistics (IESS). To ensure coherent labour market time series for the main indicators, the redesign's impact is modelled to make back-calculated estimates adjusted for possible breaks due to the 2021 LFS-redesign.

2021

  1. We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test and correct for nonresponse bias.

  2. This paper develops a new method to study how workers’ career and wage profiles are shaped by internal labor markets (ILM) and job hierarchies in firms.

  3. Information about individual choices of heterogeneous agents. Results can for example be used to describe the distributional effects of tax policy change, such as the effects on changes in money metric utility – distributions of equivalent and compensating variation (EV or CV).