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Tag: gender

Women in the Workplace – Where is Everyone?

Cross posted from OpenDataKosovo.org:

Continuing our series on Gender Inequality and Corruption in Kosovo, in Part IV we are going to build on Part III and use our understanding of the participation rate to compare the participation rate in Kosovo across a range of countries, as well as look at the reasons for non-participation (“inactivity”). If you don’t understand what a participation rate is (SPOILER: it is not the same as the unemployment rate), or just want to make sure you get the full picture, please go back and read Part III.

Click on the chart below to interact with the data!

sunburst_pic

Sunburst chart created by Festina Ismali

Comparing Participation Rates

Comparing participation rates across countries provides insight into broad demographic trends and the specific employment situation in a country relative to other countries. For most high income nations, the participation rate tends to be around 60%. That is, 6 out of every 10 people of working age are actively engaged in the employment market (whether they currently have a job or not). While that may sound low, this accounts for parents who stay home to raise children, students, retirees and discouraged workers[1].

Once we leave high income countries, there is a much larger range of participation rates. Many very poor low income nations in Asia and Africa have extremely high participation rates of well over 80%. This is driven by pure necessity as, in many cases, there is simply no option for one partner to stay home, retire, or even for young people to continue studying.

Conversely, we also see many countries with very low participation rates of just over 40%. In some cases, these countries are involved in ongoing conflicts or are post-conflict countries (Syria, Iraq and Afghanistan all had participation rates below 50% in 2013). But in other cases, the cause is harder to identify.

Unfortunately, Kosovo is one of these harder to understand cases. In 2013, Kosovo had the second lowest participation rate of any country in the World Bank database, at 40.5%. In 2014 that number picked up slightly to 41.6%, but that was still low enough to keep Kosovo in the bottom 10, based on 2013 figures. Notably, Kosovo’s low participation rate has actually decreased substantially over the past decade (see Chart 1). In 2002, the participation rate stood at 52.8%. If that participation rate applied today, there would be an extra 134,600 people in the labour force – an increase of 26.9%.

Chart 1 – Participation Rate in Kosovo 2002 to 2014

Looking at Chart 1, another data point that immediately stands out is the low participation rate for women. In fact, with a participation rate for women of 21.1% in 2013, Kosovo has one of the lowest participation rates for women in the world. In terms of the rankings, Kosovo places between Saudi Arabia (20.2%) and Lebanon (23.3%). Looking around the region, Kosovo is also a significantly outlier (see Chart 2).

Chart 2 – Female Participation Rate for Selected Countries 2002 to 2013

Methodology Matters

Previously, in Part III, we mentioned that there were some more detailed criteria for determining whether a person is considered ‘employed’ in Kosovo. Specifically, there is one particular criteria that may partially explain Kosovo’s notably lower participation compared to its neighbors (and everyone else).

In the 2014 Kosovo Labour Force Survey, a specific methodological difference with Albania is highlighted. In Kosovo, people who work on a family run farm are not considered employed if the produce of the farm is not considered an “important source of consumption” (let’s call these people ‘family farm workers’). In contrast, these same people in Albania are classified as employed. From the 2014 Kosovo Labour Force Survey Results paper (emphasis mine):

“It is important to note that when respondents answer code 5B[2], that they do some agricultural activity but it is not an important contribution, this is not counted as employed. In 2014 69% of this group were categorized as inactive and 31% as unemployed. An important contribution is a subjective term and could depend on overall household income.”

The key takeaway here is that there is a significant population of family farm workers that are currently being classified as inactive, when in fact they are working. This at least partially explains the low participation rate in Kosovo.

Unfortunately, the paper does not provide enough information to be able to determine how many people are  family farm workers. As such, we are unable to quantify exactly how much impact adding family farm workers back into the labour force would have on the headline participation rate.

Even if we could though, this would not be fully correct either (welcome to the surprisingly complex world of labour market statistics). Many family farm workers probably do not consider themselves employed – working 1 hour a week[3] on a family farm is a pretty low bar after all. The fact that 31% of them qualified as unemployed, meaning they actively sought other work, reveals that this is not homogenous group of full time farm workers being incorrectly classified.

Worrying Trends

Methodological anomalies aside, there is also a concerning trend in the data – the participation rate for women in Kosovo has been declining for much of the past decade[4]. Despite the improving economy and significant international development assistance, the participation rate for women fell from over 34.5% in 2002 to 21.4% in 2014. There is some good news – the fall appears to have bottomed out, with 2013 and 2014 both recording higher participation rates for women than the low point in 2012 (17.8%!).

This slight uptick in recent years could be the impact of numerous initiatives to get women into the workforce in Kosovo. These range from the prioritization of grants for projects that provide jobs for women, to supporting women in registering property in their own names to help provide collateral for loans. There has also been a push by Kosovo’s first and current female President to boost participation among women. Several more years of data will be required to determine whether this is the beginning of a more substantial trend or simply noise in the data.

In the meantime, let’s get a better understanding of the current labour market by looking at a break down (see Table 1), provided in the 2014 Kosovo Labour Force Survey, of the inactive population sorted by reason for not participating.

Table 1 – Inactive Persons by Category

(A) Men (B) Women (C) = (B) minus (A)
1,000s 1,000s  (C1) 1,000s (C2) % of total
Looking after children or incapacitated adults 0.1 14.3 14.2 5.8%
Own illness or disability 13.3 8.6 -4.7 -1.9%
Other personal or family responsibilities 13.5 233.4 219.9 90.2%
In education or training 104.7 97.3 -7.4 -3.0%
Retired 6.9 5 -1.9 -0.8%
Believes that no work is available 49.5 78.9 29.4 12.1%
Waiting to go back to work (laid-off people) 0.8 0.5 -0.3 -0.1%
Other reasons 20.7 16.2 -4.5 -1.8%
No reason given 1.9 3.4 1.5 0.6%
Total  229.2 473.0 243.8 100.0%

Looking at the breakdown, there is one category in particular in which there was a large discrepancy between the sexes – ‘Other personal or family responsibilities’. In this category, 233,400 were women, amounting to 38.8% of the total population of working age women. By contrast, only 13,500 were men, amounting to 2.2% of the total population of working age men. The table also shows the calculated difference between the number of inactive women and men (see column C1). Looking at these calculated differences, we see that for the total calculated difference across all categories (243,800 – see ‘Total’ row in column C1), 219,900, or over 90%, arose from this category. This breakdown is also shown in Chart 3 below.

Chart 3 – Inactive People by Category of Inactivity – 2014

Going back to the family farm workers discussed earlier, we expect that those classified as inactive would be included in the ‘Other personal or family responsibilities’ category. However, if a significant number of women in this category were family farm workers and this was a full time role, we would also expect to see large numbers of men in the same category. The fact that we do not suggests that many men who are family farm workers also have other more formal jobs and lends support to the decision to exclude family farm workers from the employed population.

The other category where we see a meaningful gap between the sexes is the ‘Believes that no work is available’ category. As mentioned earlier, these are the people that are considered discouraged workers (i.e. those that would take a job, but are no longer actively looking). Why would significantly more women be discouraged than men? Typically, discouraged workers are the end product of long and unsuccessful searches for employment. At times of high unemployment, it will often be the case that the number of discouraged workers will also increase. Seeing that women are more likely to be discouraged than men suggests they are having a more difficult time finding employment.

To confirm this hypothesis, we need to look at unemployment rates. This will be the focus of the next piece in this series – Part V.

 

[1] People who would like a job but who haven’t actively sought work in the past 4 weeks

[2] Code 5b text: “Worked (at least one hour) on a farm owned or rented by you or a member of your household (even unpaid) whether in cultivating crops or in other farm maintenance tasks, or you have cared for livestock belonging to you or a member of your household (if the whole production is only for own consumption and this production does not constitute an important contribution to the total consumption of the household.

[3] Employed are considered all the persons who have worked even for one hour with a respective salary or profit during the reference week.

[4] There is no mention of when the current methodology was implemented, but it is possible that the large drop in participation rate between 2009 and 2012 was due to a change.

Women in the Workplace – Understanding the Data

Cross Posted from OpenDataKosovo.org:

Continuing our series on Gender Inequality and Corruption in Kosovo (see Part I and Part II), in Part III and the next few parts, we are going to take a detailed look at the problems women face in the labour market in Kosovo.

To do this, we will be using information from several sources, including data on participation rates, by gender, from the Gender Statistics database at the World Bank, and a range of labour market statistics from various Kosovo Labour Force Surveys, released by the Kosovo Agency of Statistics.

High Level Concepts

Before diving into the statistics, let’s first visualize and explain some of the high level concepts in labour market statistics.

Chart 1 – Population Breakdown 2014

WAC_3_1

At the highest level, the section of the population that is relevant when looking at labour market statistics is people who are of working age and are able to work. In Kosovo, this population includes all people aged 15 to 64 and is known as the ‘working age population’.

Labour Force and Inactive Populations

At the next level, the working age population can be broken down into two main subgroups – those that are considered in the labour force (i.e. ‘participating’) and those that are ‘inactive’. It is important to note that someone who is ‘inactive’ is not the same as someone who is ‘unemployed’. In Kosovo, to be considered ‘actively looking for work’ (and therefore be classified in the labour force) the following criteria must be met. The person must be:

  • currently available for work, that is, available for paid employment or self- employment within two weeks; and
  • seeking work, that is, have taken specific steps in the previous four weeks to seek paid employment or self-employment.

If either of the above criteria is not met, the person is classified as inactive.

Calculating the Participation Rate

Once the population is classified as either in the labour force or inactive, it is possible to calculate the participation rate, one of the key labour market statistics. The participation rate measures the labour force population (people employed and/or actively looking for work) as a percentage of the working age population.

WAC_E_3_1

In Kosovo, the participation rates in 2014 were as follows:

  • Male Participation Rate (2014): 61.8%
  • Female Participation Rate (2014): 21.4%
  • Overall Participation Rate (2014): 41.6%

Unlike the unemployment rate, described below, the participation rate tends to provide more stable and reliable data than the unemployment rate, as it is not affected by short-term fluctuations and the business cycle.

Employed vs. Unemployed

Analyzing the population further, the ‘labour force’ can be subdivided into two populations – those that are employed and those that are unemployed. In most cases it is obvious whether someone is employed or not, but in some situations it may not be so clear (e.g. when a person is working for the family business in an unpaid capacity). To handle these scenarios, the agency tasked with compiling the labour market statistics in each country typically has a specific definition (or definitions) of what qualifies as employment. In Kosovo, to be classified as ‘employed’ a person must meet the following high-level criteria:

“People who during the reference week performed some work for wage or salary, or profit or family gain, in cash or in kind or were temporarily absent from their jobs.”

In addition, the Kosovo Agency of Statistics includes some more detailed criteria in their methodology that clarifies when work done on family owned farms classifies as employment. This will become important later.

Calculating the Unemployment Rate

Having separated the employed from the unemployed, it is now possible to calculate the unemployment rate. To do this, we divide the number of unemployed people by the total number of people in the labour force.

WAC_E_3_2

In Kosovo, the unemployment rates in 2014 were as follows:

  • Male Unemployment Rate (2014): 33.1%
  • Female Unemployment Rate (2014): 41.6%
  • Overall Unemployment Rate (2014): 35.3%

The unemployment rate is useful as a more immediate indicator of conditions in the economy. The obvious information is provides is an indicator of how many people without a job are currently looking for employment. But, in addition, it also provides information about how much spare capacity an economy has, the risk that inflation may pick up, whether structural issues are keeping people out of work and so on.

Chart 1 – Participation and Unemployment Rates by Gender 2014

What is Next?

In the next article, we will take a look at how the participation rate (for both males and females) in Kosovo compares across the region and internationally. In the meantime, please feel free to play around with the interactive visualization below, which shows the entire working age population of Kosovo broken down into its various subgroups.

Click on the chart below to interact with the data!

sunburst_pic

Sunburst chart created by Festina Ismali

 

 

Women and Corruption Issues in Kosovo

For those that don’t know, over the past couple of months I have been spending time working with a tech startup/NGO here in Pristina called Open Data Kosovo. The main aim of the organization is to encourage and facilitate the release of data and other information by the government of Kosovo (and related bodies) in order to increase transparency and reduce corruption. So far they have been fantastically successful, getting both national and international media attention, which is all the more impressive when you consider they are only now coming to the end of their first year of existence.

One of the main things I have been working on since joining is putting together some analysis of the various datasets they have been publishing online to see what conclusions can be provided to the public that might help create a more informed discussion of the issues. The first piece has now been published on the Open Data Kosovo website and we are excited to see what kind of feedback we get. If you want to take a look, please click the link below:

More women in leadership would probably reduce corruption, but is there a more effective way? 

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