Create a table of the key categories of labour

Assignment Help Macroeconomics
Reference no: EM132948817

Research Assignment - Labour Force and Unemployment

Selected country - BANGLADESH

You need to find information on the rate of unemployment, the rate of employment, and the participation rate, annually from 2000 to 2020 (or to the latest year available), for your selected country.

a. Create a table of the key categories of labour (in millions) and key labour ratios (%) for your selected country, for the most recent year for which data are available (probably 2019 or 2020). You can use the Excel table from the lecture to enter the data and generate the ratios (but you don't have to): a picture of the Excel table is below, and the actual Excel table that you can enter numbers into is in the same folder as these instructions.

b. Create graphs for 2000 to 2020 of:
i. Employment rate and Labour Force (Participation1) Rate, for your selected country only, on the same graph
(consider what the gap between these two lines represents)
ii. Unemployment rate, on a separate graph, for your selected country and for Canada
c. Describe the trends and volatility in these rates for your country over time, how these differ to Canada for the unemployment rate, any significant changes that took place during the period.
d. You are advising a potential foreign financial investor about investing funds into your selected country: does the rate of unemployment in recent years give you any cause for concern about the state of the economy and the possible need for tough economic policies in the near future to tackle unemployment?

DATA
The UN's International Labour Organization (ILO) is the main source of global employment data. It allows you to create a Table of data to complete the Labour Categories table for your selected country; and it will create graphs of various categories of labour (in millions of people) and rates (%):
www.ilo.org/wesodata

Tips:
o You need to switch between the ‘Rate %' for your graphs, and the ‘Million' or ‘Thousand'
option to complete the table. Otherwise comparisons will be meaningless.
o You can switch between the ‘Chart' and the ‘Table' option, to generate your graphs and to
find the data to complete your Labour Categories table.
o (When these choices are in black they are selected; the other option is then in blue.)
o Some countries' graphs show surprisingly stable, low Unemployment. You will just have to report on what the graph shows (but as an Economist you would generally be suspicious of such data!).

For Data to complete the Labour Categories Table

1. Click on "Employment", "Labour force" and "Not in labour force" (the "Unemployment" box should already be ticked; if it is not, then also click on
"Unemployment")

2. Click on the arrow beside "LOCATION: World"

3. Click on the ticked-box beside "World", in order to remove the line for "World" on your graph

4. Click on the arrow beside "Countries", type in the name of your country, then click in the box beside the name of your country

You should now see a graph of four variables from 1991 to 2020.

5. Click the arrow beside "FROM:1991", to change the start date to 2018 (you might need to use an earlier "FROM:" date to find data for your country).

6. Click at the top-right of the graph the small, blue text "Table".
• You should now see a table, like the one below (which is for Ghana)
• You can find the data you need for each variable by clicking on the tabs above the table. (Use the "Value" data, not the Upper Bound or Lower Bound.)
To create the two graphs that you need

7. Click at the top-right of the graph the small, blue text that now says
"Chart".

8. Click at the top-left of the graph the small, blue text that says "Rate %".

9. Extend the time frame by clicking the arrow beside "FROM:2018", to change the start date to 2000.

10. Now simply click against the variables so that only the ones you want in your graph are displayed (i.e. just Unemployment; or Employment and Labour Force in the same graph)

Attachment:- Labour Force and Unemployment.rar

Reference no: EM132948817

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