Employment and Unemployment — Explained
Detailed Explanation
Understanding Employment and Unemployment Dynamics in India
India, with its vast and youthful population, faces a perennial challenge of generating sufficient, quality employment opportunities. The dynamics of employment and unemployment are critical indicators of the nation's economic health, social equity, and potential for harnessing its demographic dividend.
From a UPSC perspective, the critical employment challenge lies in understanding the structural impediments to job creation, the nuances of data collection, and the effectiveness of policy interventions.
1. Origin and Historical Context
India's employment landscape has evolved significantly since independence. Initially, the focus was on industrialization and agricultural development, with the public sector playing a dominant role in job creation.
The Green Revolution, while boosting agricultural output, also led to disguised unemployment in rural areas. Economic reforms of 1991 shifted the focus towards liberalization, privatization, and globalization, leading to the growth of the services sector and a more dynamic, albeit often informal, labour market.
The subsequent decades have seen rapid urbanization, a rise in the youth population, and the emergence of new sectors like IT and e-commerce, all impacting employment patterns.
2. Constitutional and Legal Basis
India's Constitution enshrines the principles of social justice and economic welfare, which underpin its labour laws and employment policies. The Directive Principles of State Policy (DPSP) are particularly relevant:
- Article 39(a): — Directs the State to secure for all citizens, men and women equally, the right to an adequate means of livelihood.
- Article 41: — Mandates the State to make effective provision for securing the right to work, to education, and to public assistance in cases of unemployment, old age, sickness, and disablement.
- Article 43: — Enjoins the State to secure a living wage, decent working conditions, and social and cultural opportunities for all workers.
- Article 43A: — Promotes workers' participation in the management of industries.
These articles form the bedrock for legislation such as:
- Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), 2005: — A landmark legislation guaranteeing 100 days of wage employment in a financial year to adult members of any rural household willing to do unskilled manual work. It aims to enhance livelihood security and strengthen grassroots democracy.
- Factories Act, 1948: — Regulates working conditions in factories, ensuring safety, health, and welfare of workers. It sets standards for working hours, leave, and employment of women and young persons.
- Contract Labour (Regulation & Abolition) Act, 1970: — Regulates the employment of contract labour and provides for its abolition in certain circumstances. It aims to prevent exploitation of contract workers and ensure better working conditions.
- Labour Code Reforms (2019-2020): — The government consolidated 29 central labour laws into four codes: the Code on Wages, 2019; the Industrial Relations Code, 2020; the Code on Social Security, 2020; and the Occupational Safety, Health and Working Conditions Code, 2020. These reforms aim to simplify labour laws, promote ease of doing business, and extend social security benefits to a wider section of workers, including those in the informal and gig economy. However, they have also faced criticism regarding potential dilution of workers' rights and increased employer flexibility.
3. Types of Unemployment in India
Understanding the various forms of unemployment is crucial for targeted policy interventions. Vyyuha's analysis reveals that employment questions increasingly focus on the specific types of unemployment prevalent in India and their policy implications.
- Structural Unemployment: — Arises from a mismatch between the skills possessed by workers and the skills demanded by industries. This is a long-term problem, often due to technological advancements, changes in economic structure, or inadequate education and training systems.
* Indian Examples: The decline of traditional manufacturing sectors (e.g., handlooms) due to automation, the gap between engineering graduates' skills and industry requirements (e.g., AI/ML skills), and the shift from agriculture to services without adequate re-skilling.
* Sectoral Breakdown: Predominant in manufacturing and traditional services. * Policy Responses: Skill development programs (PMKVY), vocational training, promoting industry-academia collaboration, and facilitating labour market information systems.
The relationship between employment generation and skill development is explored in detail at .
- Cyclical Unemployment: — Occurs due to fluctuations in the business cycle, rising during economic downturns (recessions) and falling during expansions. It's demand-deficient unemployment.
* Indian Examples: Job losses during the 2008 global financial crisis or the COVID-19 pandemic-induced lockdowns (e.g., in hospitality, tourism, retail sectors). * Sectoral Breakdown: Affects all sectors, but particularly those sensitive to consumer demand and investment. * Policy Responses: Counter-cyclical fiscal and monetary policies (e.g., government spending, interest rate cuts) to stimulate demand and investment.
- Frictional Unemployment: — Short-term unemployment that occurs when individuals are transitioning between jobs, entering the labour force for the first time, or re-entering after a break. It's considered a natural and healthy part of a dynamic economy.
* Indian Examples: Graduates seeking their first job, individuals switching careers, or those temporarily out of work while relocating. * Sectoral Breakdown: Ubiquitous across all sectors. * Policy Responses: Improving labour market information, job portals, career counseling, and reducing bureaucratic hurdles in hiring.
- Seasonal Unemployment: — Occurs in sectors where demand for labour fluctuates with seasons.
* Indian Examples: Highly prevalent in agriculture (e.g., during non-harvesting seasons), construction, and tourism sectors. * Sectoral Breakdown: Dominant in agriculture and allied activities (e.g., fishing, forestry), and seasonal industries. * Policy Responses: Promoting allied agricultural activities, rural non-farm employment, MGNREGA (providing off-season work), and diversification of rural economies. Agricultural employment dynamics are covered at .
- Disguised Unemployment (Underemployment): — A situation where more people are employed than are actually needed for a given task, such that the marginal productivity of the extra workers is zero or near zero. Removing these 'extra' workers would not reduce total output.
* Indian Examples: Over-reliance on family labour in small-scale farming, where several family members work on a small plot of land that could be managed by fewer. * Sectoral Breakdown: Primarily in the agricultural sector, but also observed in small family businesses in the informal sector.
* Policy Responses: Promoting industrialization, urban development, skill development for non-farm employment, and land reforms to improve agricultural productivity. Urban development and employment linkages are explored at .
4. Employment Elasticity
Employment elasticity measures the responsiveness of employment growth to economic (GDP) growth. It is calculated as the percentage change in employment divided by the percentage change in GDP. A high elasticity indicates that economic growth is translating effectively into job creation, while a low elasticity suggests 'jobless growth'.
- Formula: — Employment Elasticity = (% Change in Employment) / (% Change in GDP)
- India Estimates: — India has generally experienced declining employment elasticity over the past few decades, particularly after the 1990s reforms. This implies that for every percentage point of GDP growth, fewer jobs are being created. Estimates vary, but many studies (e.g., NITI Aayog, RBI) indicate elasticity often below 0.5, and sometimes even negative in certain periods or sectors. For UPSC aspirants, understanding the employment-growth disconnect is crucial because it highlights the structural challenges in India's development model.
- Sectoral Examples (PLFS, 2022-23; NITI Aayog, various reports):
* High Elasticity: Construction, certain segments of services (e.g., retail trade, hospitality, education, health). These sectors tend to be labour-intensive. The healthcare sector's employment potential is analyzed in . * Low Elasticity: Manufacturing (due to automation and capital-intensive processes), agriculture (due to disguised unemployment and mechanization), and high-tech services (which require highly skilled but fewer workers).
5. Labour Force Participation Rate (LFPR)
LFPR is the percentage of the working-age population (15 years and above) that is in the labour force (either employed or unemployed). It's a key indicator of the potential workforce available for productive activities.
- Trends (PLFS, 2022-23):
* Overall: India's overall LFPR has historically been lower than many developing countries, though it has shown some recent improvement. The overall LFPR for persons aged 15 years and above was 57.
9% in 2022-23 (PLFS Annual Report, 2022-23). * By Sex: Female LFPR in India has been notably low, though it has seen an upward trend in recent years, reaching 37.0% in 2022-23 (PLFS Annual Report, 2022-23), up from 23.
3% in 2017-18. Male LFPR is significantly higher, at 78.5% in 2022-23. The low female LFPR is attributed to various factors including socio-cultural norms, lack of safe transport, education levels, and the 'income effect' (women withdrawing from labour force as household income rises).
* Rural/Urban: Rural LFPR is generally higher than urban LFPR, primarily due to the prevalence of self-employment and unpaid family labour in agriculture. In 2022-23, rural LFPR was 60.8% and urban LFPR was 49.
6% (PLFS Annual Report, 2022-23). * State-level Patterns: Significant regional disparities exist, with states like Himachal Pradesh and Chhattisgarh often showing higher female LFPR, while states like Uttar Pradesh and Bihar show lower rates.
Drivers include economic structure, social norms, education levels, and availability of non-farm employment.
6. Workforce Composition
India's workforce is characterized by its large size, youthfulness, and significant informalization.
- Organized vs. Unorganized Sector: — The vast majority of India's workforce (around 80-85%) is in the unorganized (informal) sector (NSSO, 2014; ILO, 2018 estimates). This sector lacks formal contracts, social security benefits, and often operates outside regulatory frameworks. The organized sector offers better wages, job security, and benefits but employs a smaller proportion.
- Sectoral Shares (PLFS, 2022-23):
* Agriculture: Continues to be the largest employer, though its share has been declining. In 2022-23, agriculture accounted for 45.8% of total employment (PLFS Annual Report, 2022-23). * Industry: Its share has remained relatively stagnant or grown slowly.
In 2022-23, industry accounted for 28.2% of employment (PLFS Annual Report, 2022-23). Manufacturing within industry has struggled to create jobs at scale. * Services: The fastest-growing sector in terms of output, it has also seen significant employment growth, particularly in trade, hotels, transport, and other services.
In 2022-23, services accounted for 26.0% of employment (PLFS Annual Report, 2022-23). However, many service jobs are informal.
- Youth Employment: — India faces a significant challenge in providing employment to its large youth population. High youth unemployment rates and underemployment are concerns, often linked to skill gaps and insufficient job creation in the formal sector.
- Informal Employment Statistics: — The informal sector is a major source of livelihood but is characterized by low wages, poor working conditions, and lack of social protection. The Code on Social Security, 2020, aims to extend benefits to these workers, but implementation remains a challenge. Social security frameworks for workers are detailed at .
7. Employment Generation Schemes
Government initiatives play a crucial role in addressing unemployment and underemployment.
- Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA):
* Implementation: Provides a legal guarantee for 100 days of wage employment to rural households. Demand-driven, decentralized implementation through Gram Panchayats. * Issues: Delays in wage payments, corruption, asset quality concerns, insufficient funding in some years, and limited scope for skill enhancement.
* Evaluation Evidence: Studies (e.g., World Bank, NITI Aayog) show positive impacts on rural incomes, poverty reduction, women's empowerment, and distress migration reduction. It acts as a safety net, especially during economic shocks.
* Budgetary Flows: Significant allocation, e.g., ₹60,000 crore in Union Budget 2023-24, revised to ₹86,000 crore, and ₹86,000 crore in Interim Budget 2024-25 (Union Budget documents). * Outcome Metrics: Number of households provided employment, person-days generated, average wage rate, assets created.
- Pradhan Mantri Kaushal Vikas Yojana (PMKVY):
* Implementation: Flagship skill development scheme under the Ministry of Skill Development and Entrepreneurship. Provides short-term training, recognition of prior learning (RPL), and special projects.
Focuses on industry-relevant skills. * Issues: Quality of training, low placement rates, mismatch between skills imparted and industry demand, limited post-placement support. * Evaluation Evidence: Mixed results; while it has trained millions, the actual employment outcomes and sustained livelihoods are often questioned.
For understanding how education policy impacts employability, refer to our comprehensive analysis at .
- Startup India:
* Implementation: Government initiative to foster entrepreneurship and innovation. Provides tax exemptions, funding support, intellectual property protection, and regulatory relaxations for startups.
* Issues: Access to finance, regulatory hurdles for scaling up, limited success rate of startups, geographical concentration of startup ecosystem. * Evaluation Evidence: Has boosted the startup ecosystem and created indirect employment, but direct job creation numbers are harder to quantify and often limited to highly skilled individuals.
8. Demographic Dividend
India is in a unique phase with a large proportion of its population in the working-age group (15-64 years). This 'demographic dividend' presents an opportunity for accelerated economic growth, provided the working-age population is healthy, educated, and productively employed.
- Jobs Needed Per Year: — Estimates suggest India needs to create 10-12 million jobs annually to absorb new entrants into the labour force and address existing unemployment (NITI Aayog, various reports).
- Youth Employment Challenge: — A significant portion of the demographic dividend is young. Ensuring their productive engagement requires addressing skill gaps, improving educational outcomes, and fostering entrepreneurship.
- Skilling Gap: — A major impediment. Many youth lack the vocational and soft skills required by modern industries. This contributes to structural unemployment.
- Recommended Policies: — Investing in human capital (education, health), promoting labour-intensive manufacturing (Industrial policy's role in job creation connects to ), fostering entrepreneurship, improving labour market flexibility, and strengthening social security nets.
9. Gig Economy
The gig economy, characterized by temporary, flexible jobs and independent contractors, is rapidly expanding in India, driven by digital platforms.
- Size Estimates: — NITI Aayog's 'India's Booming Gig and Platform Economy' report (2022) estimated 7.7 million gig workers in 2020-21, projected to grow to 23.5 million by 2029-30.
- Regulatory Issues: — Lack of clear legal classification (employee vs. independent contractor) leads to ambiguity regarding labour rights and protections.
- Social Security Gaps: — Gig workers often lack traditional employee benefits like provident fund, ESI, gratuity, and paid leave. The Code on Social Security, 2020, attempts to provide some coverage, but implementation mechanisms are still evolving.
- Platform Work Dynamics: — Offers flexibility and income opportunities but also raises concerns about precarious work, algorithmic management, and lack of collective bargaining power.
10. COVID-19 Impacts
The COVID-19 pandemic and associated lockdowns had a profound and unprecedented impact on India's labour market.
- Job Losses by Sector: — Massive job losses, particularly in the informal sector, MSMEs, and contact-intensive services (hospitality, retail, transport). CMIE data showed unemployment rates soaring to over 23% in April-May 2020.
- Recovery Trajectory: — A 'K-shaped' recovery, where some sectors (e.g., IT, e-commerce, formal manufacturing) recovered relatively quickly, while others (informal services, small businesses) struggled. Rural employment, supported by MGNREGA, showed resilience.
- MSME Effects: — Micro, Small, and Medium Enterprises (MSMEs), a major employer, faced severe liquidity crises, supply chain disruptions, and demand shocks, leading to job cuts.
- Migrant Worker Impacts: — The migrant crisis, with millions returning to their home states, highlighted the vulnerability of informal labour and the lack of social protection for inter-state migrants.
- Government Interventions: — Fiscal stimulus packages (e.g., Atmanirbhar Bharat Abhiyan), emergency credit lines for MSMEs, increased MGNREGA allocation, and food security measures. Financial inclusion's impact on employment is detailed at .
- Evidence of Recovery: — While unemployment rates have largely returned to pre-pandemic levels (PLFS, CMIE data), concerns remain about the quality of jobs, underemployment, and the long-term scarring effects on livelihoods.
11. Survey Methodologies and Comparisons
Accurate measurement of employment and unemployment is crucial but challenging. India relies on multiple data sources:
- NSSO Employment-Unemployment Rounds: — Historically conducted by the National Sample Survey Office (NSSO), these quinquennial (five-yearly) surveys provided comprehensive data on employment and unemployment using various approaches (Usual Status, Current Weekly Status, Current Daily Status). The last such survey was in 2011-12.
- Periodic Labour Force Survey (PLFS): — Launched by the National Statistical Office (NSO, formerly NSSO) in 2017, PLFS is an annual survey providing estimates of key labour force indicators at both annual and quarterly frequencies for urban areas. It uses a rotating panel design, collecting data on Usual Status (PS+SS) and Current Weekly Status (CWS). PLFS is now the primary official source for labour market statistics in India. NSSO vs PLFS methodology is crucial for UPSC aspirants.
- Centre for Monitoring Indian Economy (CMIE) High-Frequency Unemployment Series: — A private sector initiative, CMIE's Consumer Pyramids Household Survey (CPHS) provides high-frequency (daily/weekly) data on employment and unemployment. It is known for its timeliness and granular insights, often capturing rapid changes in the labour market more quickly than official surveys.
- Strengths, Limitations, and Reconciliation: — (See Important Differences table below). PLFS is the official and most comprehensive source for annual data, while CMIE offers real-time insights. For UPSC answers, citing PLFS for official trends and CMIE for recent, high-frequency movements is a balanced approach.
12. Vyyuha Analysis: The Employment Paradox in India's Growth Story
India's economic trajectory has often been lauded for its high GDP growth rates, yet this growth has not consistently translated into commensurate job creation, leading to the phenomenon of 'jobless growth' or 'job-loss growth'. This employment paradox is a critical area for UPSC analysis.
- Capital vs. Labour Intensity: — A primary driver is the increasing capital intensity of India's growth. Sectors like manufacturing and even some services (e.g., IT) have adopted advanced technologies and automation, which, while boosting productivity and output, require fewer workers per unit of capital. This contrasts with the labour-abundant nature of India's economy.
- Structural Transformation without Structural Employment: — While India has seen a shift from agriculture to services, the manufacturing sector, which traditionally absorbs surplus labour from agriculture in other developing economies, has not grown sufficiently to provide large-scale formal employment. The services sector, while growing, often creates jobs at the high-skill end or in the informal, low-wage segment, leaving a large middle segment underserved.
- Skilling Mismatch: — The education system often produces graduates ill-equipped with the skills demanded by modern industries. This structural mismatch means that even when jobs are available, suitable candidates are scarce, exacerbating unemployment among the educated youth.
- Informalization and Precarious Work: — A significant portion of new jobs are created in the informal sector or the gig economy, characterized by low wages, lack of social security, and precarious working conditions. While providing livelihoods, these jobs do not offer the stability and dignity associated with formal employment.
- Policy Gaps: — Despite numerous schemes, the scale and effectiveness of employment generation programs often fall short of the immense demand. Regulatory rigidities in the formal sector, coupled with inadequate support for MSMEs (which are major job creators), further compound the problem.
This paradox underscores the need for a multi-pronged strategy focusing on labour-intensive growth, targeted skill development, formalization of the economy, and robust social safety nets to ensure that economic growth is inclusive and equitable.
13. Inter-topic Connections
Employment and unemployment are deeply intertwined with various other aspects of the economy and society. For instance, the quality of education directly impacts employability, as explored in . Social security provisions (or their absence) significantly affect the vulnerability of workers, particularly in the informal sector, as detailed in .
Industrial policy choices, whether promoting capital-intensive or labour-intensive industries, have direct implications for job creation, connecting to . Similarly, agricultural employment challenges are a core part of .
The overall human development and employment nexus is a broader theme that links these specific nodes.
Often confused with
Side-by-side differences the UPSC paper likes to test.
| Aspect | Employment and Unemployment | Periodic Labour Force Survey (PLFS) vs. Centre for Monitoring Indian Economy (CMIE) Unemployment Data |
|---|---|---|
| Conducting Authority | National Statistical Office (NSO), Ministry of Statistics and Programme Implementation (MoSPI) | Centre for Monitoring Indian Economy (CMIE) Pvt. Ltd. |
| Survey Frequency | Annual (July-June) for all-India rural/urban; Quarterly for urban areas only | High-frequency (daily/weekly/monthly) based on continuous surveys |
| Sample Size & Design | Large, nationally representative sample (approx. 1 lakh households annually); Rotating panel design | Large sample (approx. 1.7 lakh households); Continuous panel survey (Consumer Pyramids Household Survey - CPHS) |
| Definitions (Employment/Unemployment) | Uses Usual Status (Principal Status + Subsidiary Status) and Current Weekly Status (CWS) approaches, aligned with international standards (ILO) | Primarily uses Current Daily Status (CDS) equivalent, focusing on 'actively seeking work' criterion |
| Reference Period | Usual Status: 365 days preceding the survey date; CWS: 7 days preceding the survey date | Daily/weekly reference period, capturing immediate changes |
| Data Collection Method | Face-to-face interviews by field investigators using CAPI (Computer Assisted Personal Interviewing) | Face-to-face interviews, often using tablets/smartphones for data entry |
| Known Biases/Limitations | Time lag for annual data; potential underestimation of informal sector dynamics due to longer reference periods for Usual Status | Private sector data, not official; potential for higher volatility; definitions may not perfectly align with official ILO/NSO standards |
| Recommended Use for UPSC | Primary source for official, comprehensive, and long-term trends; use for annual statistics and policy analysis. | Useful for understanding high-frequency, real-time labour market shifts and immediate impacts of events (e.g., COVID-19); cite as 'private estimates' or 'CMIE data'. |
While both PLFS and CMIE provide valuable insights into India's labour market, they serve different purposes and have distinct methodologies. PLFS, conducted by the NSO, is the official source for comprehensive annual and quarterly labour force statistics, adhering to international standards.
It is crucial for understanding long-term trends and policy evaluation. CMIE, a private entity, offers high-frequency data, providing a more real-time snapshot of employment dynamics, particularly useful for tracking immediate impacts of economic events.
For UPSC, it's essential to understand the strengths and limitations of each, using PLFS for official figures and CMIE for supplementary, timely analysis, especially when discussing recent developments or rapid changes.
Why it is tested: Crucial for data interpretation, critical analysis of labour market trends, and justifying choice of data sources in Mains answers. Helps in understanding the nuances of India's employment statistics.
| Aspect | Employment and Unemployment | Organized vs. Unorganized Sector Employment |
|---|---|---|
| Definition | Enterprises registered with the government, adhering to labour laws, and providing social security benefits. | Enterprises not registered with the government, operating outside formal regulations, often small-scale and informal. |
| Legal Framework | Covered by various labour laws (Factories Act, EPF Act, ESI Act, etc.) and the new Labour Codes. | Largely outside the purview of formal labour laws, though some recent codes aim for partial coverage. |
| Job Security | Higher job security, formal contracts, notice periods, and termination benefits. | Low job security, often daily wage or casual work, no formal contracts, easy hire-and-fire. |
| Wages & Benefits | Generally higher wages, fixed working hours, paid leave, provident fund, gratuity, health insurance (ESI). | Low and often irregular wages, long working hours, no paid leave, no social security benefits. |
| Working Conditions | Regulated working conditions, safety standards, and grievance redressal mechanisms. | Poor working conditions, often unsafe, no formal grievance redressal, exploitation risks. |
| Share of Workforce (India) | Approximately 15-20% of the total workforce (estimates vary, NSSO/ILO). | Approximately 80-85% of the total workforce (estimates vary, NSSO/ILO). |
| Examples | Government employees, public sector undertakings, large private corporations, registered factories. | Agricultural labourers, street vendors, domestic workers, construction workers, small shop employees, gig workers. |
The distinction between organized and unorganized sector employment is fundamental to understanding India's labour market challenges. The organized sector, though smaller, offers better wages, job security, and social protection due to legal frameworks.
The unorganized sector, which dominates India's employment landscape, provides livelihoods to the majority but is characterized by precarious work, low wages, and a severe lack of social security and legal protection.
The persistent large share of informal employment highlights the challenge of formalizing the economy and extending social security benefits to all workers, a key objective of recent labour code reforms.
This dualistic structure contributes significantly to income inequality and vulnerability.
Why it is tested: Essential for analyzing labour market structure, social security issues, poverty alleviation strategies, and the impact of labour reforms. Relevant for GS-II (Social Justice) and GS-III (Economy).
Questions students ask
8 answered on this topic.
What is unemployment rate in India 2024?
As per the latest Periodic Labour Force Survey (PLFS) annual report for 2022-23, the unemployment rate for persons aged 15 years and above in India stood at 3.2%. However, for urban areas, quarterly PLFS data (October-December 2023) shows the unemployment rate at 6.5%. CMIE's high-frequency data often provides more recent, though unofficial, estimates.
How does MGNREGA generate employment?
MGNREGA guarantees 100 days of wage employment per rural household annually for unskilled manual work. It generates employment by creating demand for labour in public works like water conservation, rural connectivity, and land development, providing a crucial safety net and boosting rural incomes.
What are main causes of unemployment in India?
Key causes include rapid population growth outpacing job creation, a skill mismatch between education and industry needs, low employment elasticity of growth, dominance of the informal sector, seasonal nature of agriculture, and inadequate investment in labour-intensive manufacturing.
Why is women workforce participation low in India?
Low women's workforce participation in India is attributed to socio-cultural norms, unpaid care work burden, lack of safe transport, skill gaps, limited formal sector opportunities, and the 'income effect' where women withdraw from work as household incomes rise.
What is difference between NSSO and PLFS survey?
NSSO conducted quinquennial (five-yearly) Employment-Unemployment Surveys until 2011-12. PLFS, launched by NSO (formerly NSSO) in 2017, is an annual survey providing both annual and quarterly estimates, using a rotating panel design for more frequent and timely labour force data.
How COVID affected employment in India?
COVID-19 caused massive job losses, especially in the informal sector, MSMEs, and contact-intensive services, due to lockdowns and economic slowdown. It led to a migrant worker crisis and a 'K-shaped' recovery, with formal sectors recovering faster while informal ones struggled.
What are types of unemployment with examples?
Types include structural (e.g., skill mismatch in IT), cyclical (e.g., job losses during recession), frictional (e.g., job search after graduation), seasonal (e.g., agricultural off-season), and disguised (e.g., excess family labour on a farm).
How to calculate employment elasticity?
Employment elasticity is calculated as the percentage change in employment divided by the percentage change in Gross Domestic Product (GDP). It measures how responsive employment growth is to economic growth, indicating whether growth is 'job-creating' or 'jobless'.