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The Japanese Labor Market During the COVID- 19 Pandemic
  • Language: en
  • Pages: 39

The Japanese Labor Market During the COVID- 19 Pandemic

This paper investigates labor market dynamics in Japan during the COVID-19 pandemic drawing on macro and micro data. The pandemic and related containment measures had a large negative impact on employment, labor force participation, earnings, and labor market mobility, although policy support through furlough schemes partially mitigated the rise in unemployment. Our results indicate that industry effects were a crucial driver of labor market outcomes for different groups of employees — women, younger age groups, nonregular, self-employed, and low-income workers accounted for a disproportional share of employment in the hardest hit industries. We also find empirical evidence for the need to improve childcare and related support, training and upskilling offerings, and teleworking availability, and the role of skill mismatches in reducing labor market mobility and resource reallocation.

Unleashing India’s Growth Potential
  • Language: en
  • Pages: 26

Unleashing India’s Growth Potential

This paper analyzes the drivers of India’s growth in the past five decades and considers baseline and upside scenarios of India’s medium-term potential growth. Using a production function approach, the paper assesses the impact of the pandemic on the key factors of production and therefore its impact on medium-term growth. Successful implementation of wide-ranging structural reforms could help support productivity and potential growth over the medium term.

Inequality and Poverty in India: Impact of COVID-19 Pandemic and Policy Response
  • Language: en
  • Pages: 37

Inequality and Poverty in India: Impact of COVID-19 Pandemic and Policy Response

Using microdata from nationally representative household and labor force surveys, we study the impact and drivers of poverty and inequality in India during the pandemic. We have three main findings. First, India has made significant progress in reducing poverty in recent decades, but the economic downturn associated with the COVID-19 pandemic is estimated to have temporarily increased poverty and inequality. Second, education and employment status seem to be the main factors associated with poverty and income/consumption changes. Finally, the government’s expansion of food subsidies has likely played a significant role in mitigating the increase in poverty during the pandemic.

Slovak Republic
  • Language: en
  • Pages: 33

Slovak Republic

Slovak Republic: Selected Issues

Smooth Forecast Reconciliation
  • Language: en
  • Pages: 28

Smooth Forecast Reconciliation

How to make forecasts that (1) satisfy constraints, like accounting identities, and (2) are smooth over time? Solving this common forecasting problem manually is resource-intensive, but the existing literature provides little guidance on how to achieve both objectives. This paper proposes a new method to smooth mixed-frequency multivariate time series subject to constraints by integrating the minimum-trace reconciliation and Hodrick-Prescott filter. With linear constraints, the method has a closed-form solution, convenient for a high-dimensional environment. Three examples show that the proposed method can reproduce the smoothness of professional forecasts subject to various constraints and slightly improve forecast performance.

Federated States of Micronesia: 2021 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for the Federated States of Micronesia
  • Language: en
  • Pages: 81

Federated States of Micronesia: 2021 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for the Federated States of Micronesia

The COVID-19 pandemic and related containment measures have put severe strains on the economy. The economic policy response has been strong and generally appropriate, helping counter the negative effects of the pandemic. Nevertheless, as the international borders remain shut, the economic contraction is likely to deepen in FY2021. A slow recovery is expected for FY2022 driven by a gradual border reopening. The FSM is facing significant medium-term uncertainty, owing to the possible expiration of grants and other assistance provided under the Compact Agreement with the United States. The FSM is also highly vulnerable to climate change-induced natural disasters.

Rise of Digital Money
  • Language: en
  • Pages: 58

Rise of Digital Money

The departmental paper, "Rise of Digital Money: Implications for Pacific Island Countries," delves into the fast-evolving landscape of digital money in a diverse region of extremes in size, remoteness and dispersion, highlighting its significant macroeconomic and financial consequences. It provides an overview of the development of digital money and payment systems in Pacific Island Countries (PICs), assessing potential benefits and risks, with a focus on how they can harness digital technology to enhance financial inclusion and payment efficiency while minimizing risks. To this end, the paper also examines the prerequisites for successfully adopting various forms of digital money and propos...

India
  • Language: en
  • Pages: 142

India

India is on track to be one of the fastest growing major economies in the world this year, underpinned by prudent macroeconomic policies. Nonetheless, the economy is facing global headwinds, including a global growth slowdown in an increasingly fragmented world.

Pandemic, Poverty, and Inequality: Evidence from India
  • Language: en
  • Pages: 52

Pandemic, Poverty, and Inequality: Evidence from India

The paper presents estimates of poverty [extreme poverty PPP$1.9 and PPP$3.2] and consumption inequality in India for each of the years 2004-5 through the pandemic year 2020-21. These estimates include, for the first time, the effect of in-kind food subsides on poverty and inequality. Extreme poverty was as low as 0.8 percent in the pre-pandemic year 2019, and food transfers were instrumental in ensuring that it remained at that low level in pandemic year 2020. Post-food subsidy inequality at .294 is now very close to its lowest level 0.284 observed in 1993/94.

Assessing Policy Effectiveness using AI and Language Models
  • Language: en
  • Pages: 481