An Overview of the Singapore Hiring Landscape

The idea of having a 360 degree view of the entire job seeking and matching landscape has always been a dream of any labour economist. Just imagine, a dataset of CVs and job seekers matched with job advertisements and openings! The potential of such a dataset to answer existing questions on the labour market is incredible. One could investigate market power between worker and firms, information asymmetry within the matching process, or find out new growth clusters and skills needed to support these areas. [Read More]

Mapping SG - Shiny App

While my previous posts on the Singapore census data focused mainly on the distribution of religious beliefs, there are many interesting trends that could be observed on other characteristics. I decided to pool the data which I have cleaned and processed into a Shiny app. Took a little longer than I expected but it is done. Have fun with it and hope you learn a little bit more about Singapore! [Read More]

Using Leaflet in R - Tutorial

Here’s a tutorial on using Leaflet in R. While the leaflet package supports many options, the documentation is not the clearest and I had to do a bit of googling to customise the plot to my liking. This walkthrough documents the key features of the package which I find useful in generating choropleth overlays. Compared to the simple tmap approach documented in the previous post, creating a visualisation using leaflet gives more control over the final outcome. [Read More]

Examining the Changes in Religious Beliefs - Part 2

In a previous post, I took a look at the distribution of religious beliefs in Singapore. Having compiled additional characteristics across 3 time periods (2000, 2010, 2015), I decided to write a follow-up post to examine the changes across time. The dataset that I will be using is aggregated from the 2000 and 2010 Census as well as the 2015 General Household Survey. [Read More]

Mapping the Distribution of Religious Beliefs in Singapore

Inspired by my thesis, I have been playing around with mapping tools over the past few days. While the maps showing the distribution of migrant groups across the United States did not make it to the final copy of my paper I had fun toying around with the various mapping packages. In this post, I decided to apply what I have learnt and take a look at the spatial distribution of Singapore’s population. [Read More]

Update on the SG Economic Dashboard

I have updated the SG-Dashboard with 2Q 2017 numbers. I also took the opportunity to add in a few new tables and charts. There is a new table that keeps track of value-added (VA) revisions of last quarter’s result. VA for certain industries such as construction are approximated based on early indicators and the actual numbers take a quarter or more to stream in. It is also interesting to see the actual economic performance and whether it matches up to the narrative of last quarter’s release. [Read More]

Scraping SG's GDP data using SingStat's API

I have been trying to catch-up on the latest release of Singapore’s economic results. Unfortunately, the official press release or media reports are not very useful. They either contain too much irrelevant information or not enough details for my liking. Maybe I just like looking at the numbers and letting the figures speak for themselves. Hence, I decided to obtain the data from the official SingStat’s Table Builder website. [Read More]