## Inclusive Growth - Labor Markets Gender and Technology (IGx-LMGT)

## Source details

**Canonical URL:** [Inclusive Growth - Labor Markets Gender and Technology (IGx-LMGT)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/igx-lmgtol24-113)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2024/igx-lmgtol24-113/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2024/igx-lmgtol24-113/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2024/igx-lmgtol24-113/bundle-manifest.json)

## Bibliographic details
- Session: OL 24.113
- Location: Course conducted online
- Dates: January 1, 2024 - April 15, 2024 (15 weeks)
- Delivery method: Online Training
- Primary language: English
- Status: Deadline passed

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### Course overview and logistics
- Session No.: OL 24.113
- Location: Course conducted online
- Delivery Method: Online Training
- Date: January 1, 2024 - April 15, 2024 (15 weeks)
- Primary Language: English
- Deadline passed
- Target Audience:
  - Mid-level to senior officials involved in economic and strategic planning; monitoring and evaluating policy strategies for reducing poverty and inequality; and promoting job creation.
- Qualifications:
  - Participants are expected to have a degree in economics or equivalent experience.

### Course description and themes
- The course examines inclusive growth from a labor market perspective.
- It explains how an inclusive labor market matters for an individual's economic well-being and for the economy’s overall efficiency.
- Determinants of labor market outcomes covered include:
  - an individual's attributes,
  - the economic cycle,
  - shocks,
  - technology.
- The course discusses discrimination as an important determinant of labor market outcomes and how discrimination could be addressed.
- It explores how artificial intelligence and technological advancements affect labor market inclusivity and introduces possible policy options to steer technological progress toward greater inclusivity.
- Gender-focused content includes:
  - analysis of gender discrimination,
  - the potential gains of gender inclusion,
  - policy options to reduce multiple dimensions of the gender gap.
- The course addresses the consequences of informality and duality in the labor market.

### Learning objectives
Upon completion of the course, participants should be able to:
- Describe what it means for a labor market to be inclusive.
- Interpret indicators of labor market inclusiveness.
- Examine determinants of labor market outcomes, including an individual's attributes, the economic cycle, shocks, and technology.
- Investigate the consequences of informality and duality in the labor market.
- Analyze gender inequality and its negative economic implications.
- Discuss what policy makers can do to enhance inclusiveness while weighing possible tradeoffs between equity and efficiency.

---


## References

- [Online Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/igx-lmgtol24-113_