Working women in Latin America and the Caribbean were disproportionately affected by the Covid-19 pandemic compared to men. This fact underscores the need for the countries of the region to adopt measures to prevent the widening of the gender gap in the labor market, which persists despite decades of progress.
Women’s participation in the labor market rose from 41 percent in 1990 to 53 percent in 2019, a significant upward trend that is at risk of reversing in the current context, according to a new World Bank report.
“Women tend to have a more fragile employment situation than men, with jobs in the informal sector, in tasks that require more face-to-face interaction and less remote work, such as trade, personal care or tourism,” said Ximena Del Carpio, World Bank Practice Manager for the Poverty and Equity Practice Group for Latin America and the Caribbean. “In times of crisis, these workers are much more vulnerable to changes in the labor market.”
According to the policy note The Gendered Impacts of COVID-19 on Labor Markets in Latin America and the Caribbean prepared by the World Bank’s Gender Innovation Lab (LACGIL), at the onset of the pandemic, women were 44 percent more likely than men to lose their jobs temporarily or permanently (56 percent chance for women, 39 percent for men).
This gap remained virtually unchanged at around 15 percent once temporarily unemployed workers began to return to their jobs. However, the report underscores that permanent job loss affected one in five women.
Not all countries were affected equally. At the onset of the pandemic crisis, Honduras and Costa Rica had the highest gender gaps, where women were 25 percentage points more likely than men to be unemployed. Bolivia and Peru exhibited the smallest differences at the regional level, at 10 percent and 11 percent, respectively.
The report indicates that 56 percent of the job losses during the crisis were concentrated in trade, personal services, education, and hotels and restaurants. Those are four of the five most highly female-intensive sectors, employing 60 percent of female workers before the pandemic. This suggests a growing gap in the labor market, with potential effects on women’s empowerment, exacerbating intrahousehold imbalances and domestic violence.
The study conducted three rounds of telephone surveys in 13 countries of the region between May and August 2020, with 13,152 observations. The surveys focused on the employment situation of men and women during the pandemic and changes in household income and access to services, among other aspects. Based on the findings, the report offers public policy recommendations to reverse the negative impacts of the pandemic on women’s labor market participation and to ensure an inclusive recovery.
Immediate public policy responses should incorporate the gender perspective and create the conditions and incentives for women to work. They should also include programs to help women most affected by the crisis and those without access to social protection coverage. Additionally, they should support self-employment, promote training and job placement programs, and provide incentives for the formalization of female workers.
Common statistics homework problems and how to solve them
Statistics is a branch of mathematics that deals with collecting, analyzing, and interpreting data. Statistics homework problems can be challenging for many students, especially if they lack the necessary skills and concepts. That is the reason why many choose to get statistics help for students. It seems like a more effective way of dealing with an issue at hand. However, there are some common types of statistics problems that can be solved using some basic steps and strategies.
Example 1: Finding the mean and median of a data set
The mean and median are two measures of central tendency that describe the average or typical value of a data set. The mean is calculated by adding up all the values in the data set and dividing by the number of values. The median is the middle value of the data set when it is arranged in ascending or descending order. If there is an even number of values, the median is the average of the middle two values.
To find the mean and median of a data set, we can follow these steps:
- Step 1: Arrange the data in ascending or descending order (optional for finding the mean, but necessary for finding the median).
- Step 2: Add up all the values in the data set and divide by the number of values to get the mean.
- Step 3: Find the middle position of the data set by dividing the number of values by 2. If the result is a whole number, then that position is the median. If the result is a fraction, then round it up to the next whole number and find the value at that position. This is the median if there is an odd number of values. If there is an even number of values, then find the average of the values at that position and the previous position. This is the median.
For example, suppose we have the following data set:
139 143 128 138 149 131 143 133
To find the mean and median, we can do the following:
- Step 1: Arrange the data in ascending order:
128 131 133 138 139 143 143 149
- Step 2: Add up all the values and divide by 8 (the number of values) to get the mean:
(128 + 131 + 133 + 138 + 139 + 143 + 143 + 149) / 8 = 138.25
The mean is 138.25.
- Step 3: Find the middle position of the data set by dividing 8 by 2:
8 / 2 = 4
Since this is a whole number, we look at the value at position 4 and position 5 (the next position) in the ordered data set:
128 131 133 (138) (139) 143 143 149
The values at these positions are 138 and 139. To find the median, we take their average:
(138 + 139) / 2 = 138.5
The median is 138.5.
Example 2: Constructing a frequency table
A frequency table is a table that shows how often each value or category occurs in a data set. It can be used to summarize and display categorical or numerical data. To construct a frequency table, we can follow these steps:
- Step 1: Identify the possible values or categories in the data set.
- Step 2: Count how many times each value or category occurs in the data set.
- Step 3: Record the counts in a table with two columns: one for the values or categories and one for their frequencies.
For example, suppose we have the following data on the GPA of six students:
3.0 3.3 3.1 3.0 3.1 3.1
To construct a frequency table, we can do the following:
- Step 1: Identify the possible values in the data set. In this case, they are 3.0, 3.1, and 3.3.
- Step 2: Count how many times each value occurs in the data set. In this case, 3.0 occurs twice, 3.1 occurs three times, and 3.3 occurs once.
- Step 3: Record the counts in a table with two columns:
This is our frequency table.
These are just two examples of common statistics homework problems and how to solve them. There are many other types of problems that require different methods and techniques, such as finding standard deviation, confidence intervals, hypothesis testing, correlation, regression, and more. To learn more about these topics and how to solve them, you can check out some online resources such as Mathway, The Princeton Review, or Math-Drills. You can also consult your textbook, your instructor, or your classmates for more help and practice. Statistics can be a challenging but rewarding subject, and with some effort and guidance, you can master it.
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U.S. companies are barreling towards a $1.8 trillion corporate debt
US firms are barreling towards a giant wall of corporate debt that’s about to mature over the next few years, Goldman Sachs strategists said in a note.
There’s $1.8 trillion of corporate debt maturing over the next two years, Goldman Sachs estimated. Firms could be slammed with higher debt servicing costs as interest rates stay elevated. That could eat into corporate revenue and weigh on the US job market.
The investment bank estimated that $790 billion of corporate debt was set to mature in 2024, followed by $1.07 trillion of debt maturing in 2025. That amounts to $1.8 trillion of debt reaching maturity within the next two years, in addition to another $230 billion that will reach maturity by the end of this year, Goldman strategists said.
The wave of debt that will need to be refinanced could spell trouble for companies, as interest rates have been raised aggressively by the Fed over the last year. The Fed funds rate is now targeted between 5.25%-5.5%, the highest range since 2001.
For every extra dollar spent to service their debt, firms will likely pull back on capital expenditures spending by 10 cents and labor spending by 20 cents, the strategists estimated, a reduction that could weigh down the job market by 5,000 payrolls a month in 2024 and 10,000 payrolls a month in 2025.
Experts have warned of trouble for US corporations as credit conditions tighten. Already, the tally of corporate debt defaults in 2023 has surpassed the total number of defaults recorded last year. As much of $1 trillion in corporate debt could be at risk for default if the US faces a full-blown recession, Bank of America warned, though strategists at the bank no longer see a downturn as likely in 2023.
Russian response to sanctions: billions in dollar terms are stuck in Russia
“Tens of billions in dollar terms are stuck in Russia,” the chief executive of one large company domiciled in a country told ‘The Financial Times’. “And there is no way to get them out.”
Western companies that have continued to operate in Russia since Moscow’s invasion of Ukraine have generated billions of dollars in profits, but the Kremlin has blocked them from accessing the cash in an effort to turn the screw on “unfriendly” nations.
Groups from such countries accounted for $18 billion (€16.8 billion) of the $20 billion in Russian profits that overseas companies reported for 2022 alone, and $199 billion of their $217 billion in Russian gross revenue.
Many foreign businesses have been trying to sell their Russian subsidiaries but any deal requires Moscow’s approval and is subject to steep price discounts. In recent days British American Tobacco and Swedish truck maker Volvo have announced agreements to transfer their assets in the country to local owners.
Local earnings of companies from BP to Citigroup have been locked in Russia since the imposition last year of a dividend payout ban on businesses from “unfriendly” countries including the US, UK and all EU members. While such transactions can be approved under exceptional circumstances, few withdrawal permits have been issued.
US groups Philip Morris and PepsiCo earned $775 million and $718 million, respectively. Swedish truck maker Scania’s $621 million Russian profit in 2022 made it the top earner among companies that have since withdrawn from the country. Philip Morris declined to comment. PepsiCo and Scania did not respond to requests for comment.
Among companies of “unfriendly” origin that remain active in Russia, Austrian bank Raiffeisen reported the biggest 2022 earnings in the country at $2 billion, according to the KSE data.
US-based businesses generated the largest total profit of $4.9 billion, the KSE numbers show, followed by German, Austrian and Swiss companies with $2.4 billion, $1.9 billion and $1 billion, respectively.
‘The Financial Times’ reported last month that European companies had reported writedowns and losses worth at least €100 billion from their operations in Russia since last year’s full-scale invasion.
German energy group Wintershall, which this year recorded a €7 billion non-cash impairment after the Kremlin expropriated its Russian business, has “about €2 billion in working interest cash… locked in due to dividend restrictions”, investors were told on a conference.
“The vast majority of the cash that was generated within our Russian joint ventures since 2022 has dissipated,” Wintershall said last month, adding that no dividends had been paid from Russia for 2022.
Russian officials are yet to outline “a clear strategy for dealing with frozen assets”, said Aleksandra Prokopenko, a non-resident scholar at the Carnegie Russia Eurasia Centre. “However, considering the strong desire of foreign entities to regain their dividends, they are likely to explore using them as leverage – for example to urge western authorities to unfreeze Russian assets.”
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