Congratulations to Joshua Angrist and Guido Imbens for the Nobel Prize for their work with causality. This post will also be about causality, although not from the work of Angrist or Imbens. A year ago I read The Book of Why by Judea Pearl and Dana MacKenzie. The Book of ... [Read more...]

In this post, I will examine Dynamic Linear Models and Time-Series Regression. I will return to data for Engineers from Statistics Sweden. Since the salaries for each year, each stratum (age group) is strongly correlated with the salary for the previous year it does not seem too distant to use ... [Read more...]

The publically available datasets from Statistics Sweden are aggregated tables. Groups with fewer than five records are filtered out not to have any individual data being made public. In this post, I am going to investigate with what precision it is possible to estimate the causal effect of predictors using ... [Read more...]

In a previous post, I analysed the feature importance for the per cent of engineers in Sweden who are women. I found that the size of the region is a feature that is significant for the per cent of engineers in Sweden who are women. In this post, I will ... [Read more...]

In my last post, I analysed the feature importance for the per cent of engineers in Sweden who are women. I found that the size of the region is a feature that is significant for the per cent of engineers in Sweden who are women. The size of the region ... [Read more...]

In my last post, I found that the per cent women in the region had a significant impact on the salaries of Engineers. In this post, I will analyse what predictors are best to forecast the percentage of women who are Engineers in the region. I will begin in much ... [Read more...]

For a couple of posts, I have analysed what predictors affect the education level in Sweden. In this post, I will return to analysing the salary of engineers and I will try to use my experiences from studying the education level. Statistics Sweden use NUTS (Nomenclature des Unités Territoriales ... [Read more...]

In my last post, I analysed how the level of education is affected by region, sex and year. In this post, I will continue with the same dataset but this time I will include age in the analysis. Please send suggestions for improvement of the analysis to [email protected]. ... [Read more...]

In twelve posts I have analysed how different factors are related to salaries in Sweden with data from Statistics Sweden. In this post, I will analyse a new dataset from Statistics Sweden, population by region, age, level of education, sex and year. Not knowing exactly what to find I will ... [Read more...]

To complete the analysis on the significance of the sector on the salary for different occupational groups in Sweden I will in this post examine the correlation between salary and sector using statistics for education. The F-value from the Anova table is used as the single value to discriminate how ... [Read more...]

In my last post, I examined the significance of the sector on the salary for different occupational groups using statistics from different regions. In previous posts I have shown a correlation between the salary and experience and also salary and education, In this post, I will examine the correlation between ... [Read more...]

In my last post, I found that the sector has a significant impact on the salary of engineers. Is the significance of the sector unique to engineers or are there similar correlations in other occupational groups? Statistics Sweden use NUTS (Nomenclature des Unités Territoriales Statistiques), which is the EU’... [Read more...]

So far I have analysed the effect of experience, education, gender, year and region on the salary of engineers in Sweden. In this post, I will have a look at the effect of the sector on the salary of engineers in Sweden. Statistics Sweden use NUTS (Nomenclature des Unités ... [Read more...]

In my last post, I found that the region has a significant impact on the salary of engineers. Is the significance of the region unique to engineers or are there similar correlations in other occupational groups? Statistics Sweden use NUTS (Nomenclature des Unités Territoriales Statistiques), which is the EU’... [Read more...]

So far I have analysed the effect of experience, education, gender and year on the salary of engineers in Sweden. In this post, I will have a look at the effect of the region on the salary of engineers in Sweden. Statistics Sweden use NUTS (Nomenclature des Unités Territoriales ... [Read more...]

In my last post, I found that the interaction between the different predictors has a significant impact on the salary of engineers. Is the significance of the interactions on wages unique to engineers or are there similar correlations in other occupational groups? We start by examining the interaction between age, ... [Read more...]

In my previous posts, I have shown that there exists a correlation between salaries and experience as well as between salaries and education within many occupational groups. Within the data I used from Statistics Sweden there was also information about gender. Some of the models and graphs also showed that ... [Read more...]

In my last post, I found that education has a significant impact on the salary of engineers. Is the significance of education on wages unique to engineers or are there similar correlations in other occupational groups? I will use the same model in principal as in my previous post to ... [Read more...]

In my last posts, I analysed the significance of experience for different occupational groups. In this post, I will turn the interest towards education. I will again start with engineers and see if I can expand my analysis to all occupational groups. First, define libraries and functions.

library (tidyverse)

## -- Attaching packages -------------------------------------------- tidyverse 1.2.1 --

## v ggplot2 3.2.0     v purrr   0.3.2
## v tibble  2.1.3     v dplyr   0.8.3
## v tidyr   0.8.3     v stringr 1.4.0
## v readr   1.3.1     v forcats 0.4.0

{{... [Read more...]

In my last post, I found that experience has a significant impact on the salary of engineers. Is the significance of experience on wages unique to engineers or are there similar correlations in other occupational groups? I will use the same model in principal as in my previous post to ... [Read more...]