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Nicolas E Magud
and
Samuel Pienknagura
Using individual-level survey data for both advanced economies and emerging markets spanning over 45 years for 42 countries, we show that cohorts who have had higher exposure to past inflationary episodes (levels, as well as to more persistent or to more volatile inflation), systematically express higher concerns over rising prices. The link between past high inflation exposure and expressed concerns over price stability is particularly strong when an individual’s exposure occurs in the latter part of her working-age (as in lifecycle theory). The impact of past exposure to high inflation on contemporaneous preferences over price stability increases when surveyed in the midst of high ongoing inflation and with macroeconomic instability (as measured by GDP growth volatility), but diminishes with the quality of institutions.
Edward Oughton
,
Mr. David Amaglobeli
, and
Mr. Mariano Moszoro
We develop a detailed model to evaluate the necessary investment requirements to achieve affordable universal broadband. The results indicate that approximately $418 billion needs to be mobilized to connect all unconnected citizens globally (targeting 40-50 GB/Month per user with 95 percent reliability). The bulk of additional investment is for emerging market economies (73 percent) and low-income developing countries (24 percent). We also find that if the data consumption level is lowered to 10-20 GB/Month per user, the total cost decreases by up to about half, whereas raising data consumption to 80-100 GB/Month per user leads to a cost increase of roughly 90 percent relative to the baseline. Moreover, a 40 percent cost decrease occurs when varying the peak hour quality of service level from the baseline 95 percent reliability, to only 50 percent reliability. To conclude, broadband policy assessments should be explicit about the quantity of data and the reliability of service provided to users. Failure to do so will lead to inaccurate estimates and, ultimately, to poor broadband policy decisions.
Mr. Adrian Alter
,
Elizabeth M. Mahoney
, and
Cristian Badarinza
During the past two decades, the commercial real estate (CRE) market has been impacted by major disruptions, including the global financial crisis and the Covid-19 pandemic. Using granular data from the U.S., we document how these crises have unfolded and elaborate on the role of heterogeneity and underlying shocks. Both a set of reduced-form approaches and a structural framework suggest a prominent role for demand-side local factors in the short run, along with significant shifts in preferences during crisis episodes. However, valuations become more closely linked to macro-financial factors over the long term. A one-standard deviation tightening in financial conditions is associated with a drop of about 3% in CRE prices in the following quarter, with a stronger impact on the retail sector and milder effects in states where household indebtedness is lower.
Mr. Pragyan Deb
,
Davide Furceri
,
Daniel Jimenez
,
Siddharth Kothari
,
Mr. Jonathan David Ostry
, and
Nour Tawk
This paper empirically examines the economic effects of COVID-19 vaccine rollouts using a cross-country daily database of vaccinations and high frequency indicators of economic activity—nitrogen dioxide (NO2) emissions, carbon monoxide (CO) emissions, and Google mobility indices—for a sample of 46 countries over the period December 16, 2020 to June 20, 2021. Using surprises in vaccines administered, we find that an unexpected increase in vaccination per capita is associated with a significant increase in economic activity. We also find evidence for non-linear effects of vaccines, with the marginal economic benefits being larger when vaccination rates are higher. Country-specific conditions play an important role, with lower economic gains if strict containment measures are in place or if the country is experiencing a severe outbreak. Finally, the results provide evidence of spillovers across borders, highlighting the importance of equitable access to vaccines across nations.
International Monetary Fund. Asia and Pacific Dept

Abstract

Fall 2021 Regional Economic Outlook: Asia and Pacific--Navigating Waves of New Variants: Pandemic Resurgence Slows the Recovery

Allan Dizioli
,
Daniel Rivera Greenwood
, and
Aneta Radzikowski
This paper introduces a simple, frequently and easily updated, close to the data epidemiological model that has been used for near-term forecast and policy analysis. We provide several practical examples of how the model has been used. We explain the epidemic development in the UK, the USA and Brazil through the model lens. Moreover, we show how our model would have predicted that a super infectious variant, such as the delta, would spread and argue that current vaccination levels in many countries are not enough to curb other waves of infections in the future. Finally, we briefly discuss the importance of how to model re-infections in epidemiological models.
Purva Khera
,
Miss Stephanie Y Ng
,
Ms. Sumiko Ogawa
, and
Ms. Ratna Sahay
Adoption of technology in the financial services industry (i.e. fintech) has been accelerating in recent years. To systematically and comprehensively assess the extent and progress over time in financial inclusion enabled by technology, we develop a novel digital financial inclusion index. This index is based on payments data covering 52 developing countries for 2014 and 2017, taking into account both access and usage dimentions of digital financial services (DFSs). This index is then combined with the traditional measures of financial inclusion in the literature and aggregated into an overall index of financial inlusion. There are two key findings: first, the adoption of fintech has been a key driver of financial inclusion. Second, there is wide variation across countries and regions, with the greatest progress recorded in Africa and Asia and the Pacific regions. This index should offer a useful analytical tool for researchers and policy makers.
Mr. Serhan Cevik
and
Fedor Miryugin
The global economy is in the midst of an unprecedented slump caused by the COVID-19 pandemic. To assess the likely evolution of nonfinancial corporate performance going forward, this paper investigates empirically the impact of past pandemics using firm-level data on more than 537,000 companies from 14 developing countries during the period 1998–2018. The analysis indicates that the prevalence of infectious diseases has an economically and statistically significant negative effect on nonfinancial corporate performance. This adverse impact is particularly pronounced on smaller and younger firms, compared to larger and more established corporations. We also find that a higher number of infectious-disease cases in population increases the probability of failure among nonfinancial firms, particularly for small and young firms. In the case of COVID-19, the magnitude of these effects will be much greater, given the unprecedented scale of the outbreak and strict policy responses to contain its spread.
Klaus-Peter Hellwig
I regress real GDP growth rates on the IMF’s growth forecasts and find that IMF forecasts behave similarly to those generated by overfitted models, placing too much weight on observable predictors and underestimating the forces of mean reversion. I identify several such variables that explain forecasts well but are not predictors of actual growth. I show that, at long horizons, IMF forecasts are little better than a forecasting rule that uses no information other than the historical global sample average growth rate (i.e., a constant). Given the large noise component in forecasts, particularly at longer horizons, the paper calls into question the usefulness of judgment-based medium and long-run forecasts for policy analysis, including for debt sustainability assessments, and points to statistical methods to improve forecast accuracy by taking into account the risk of overfitting.
Mr. Sebastian Acevedo Mejia
,
Mr. Mico Mrkaic
,
Natalija Novta
,
Evgenia Pugacheva
, and
Petia Topalova
Global temperatures have increased at an unprecedented pace in the past 40 years. This paper finds that increases in temperature have uneven macroeconomic effects, with adverse consequences concentrated in countries with hot climates, such as most low-income countries. In these countries, a rise in temperature lowers per capita output, in both the short and medium term, through a wide array of channels: reduced agricultural output, suppressed productivity of workers exposed to heat, slower investment, and poorer health. In an unmitigated climate change scenario, and under very conservative assumptions, model simulations suggest the projected rise in temperature would imply a loss of around 9 percent of output for a representative low-income country by 2100.