Working Papers
2024
January 12, 2024
Digitalization and Employment Gender Gaps During the COVID-19 Pandemic: Evidence from Latin America and the Caribbean
Description: Despite its negative effects, the COVID-19 pandemic has also accelerated Latin America's digitalization. The rapid increase in connectivity and digital services was helpful in mitigating the pandemic's negative impact on the labor markets, especially for those with enough flexibility to continue working from home. The shock has particularly affected women due to their household responsibilities and labor market characteristics. This paper examines how digitalization may have affected gender gaps in employment and job loss related to the COVID-19 crisis. Using a sample of Latin American countries, our findings suggest that higher levels of digitalization are associated with increased female employment and reduced job loss for both men and women. These findings hold even after controlling for factors such as child care, household chores, and the COVID-19 shock. Our results are also robust to various econometric techniques.
January 12, 2024
Automation and Welfare: The Role of Bequests and Education
Description: This paper examines the welfare effects of automation in neoclassical growth models with and without intergenerational transfers. In a standard overlapping generations model without such transfers, improvements in automation technologies that would lower welfare can be mitigated by shifts in labor supply related to demographics or pandemics. With perfect intergenerational transfers based on altruism, automation could raise the well-being of all generations. With imperfect altruism, fiscal transfers (universal basic income) and public policies to expand access to education opportunities can alleviate much of the negative effect of automation.
January 12, 2024
What Caused the Beveridge Curve to Shift Higher in the United States During the Pandemic?
Description: The Beveridge curve shifted substantially higher in the United States following the start of the COVID pandemic. In 2022, vacancies reached record highs across all sectors while unemployment fell to pre-pandemic lows. At the same time, the pandemic has resulted in severe labor shortages, and we estimate that the labor force was approximately 2 million below trend at the start of 2023. We exploit state-level data in the United States to find that lower immigration, higher excess mortality due to COVID, and falling older-worker labor force participation were associated with larger upward shifts in the Beveridge curve. We also find that states that had a larger employment concentration in contact-intensive sectors had larger upward shifts in their Beveridge curve. While the effect of sectoral reallocation and rehiring has been shown in theoretical models to lift the Beveridge curve, we show that worker shortages also result in an upward shift in the Beveridge curve if they increase the marginal product of labor. This result holds in a search and matching model with on-the-job search, but does not hold without on-the-job search.
January 12, 2024
Energy Security and The Green Transition
Description: The current energy crisis has raised important policy questions on how to strengthen short-term energy security while remaining firmly committed to the green transition, a challenge amplified by the recent consensus at COP28 to transition away from fossil fuels. This paper examines the historical determinants of the security of energy supply and analyzes the green transition implications for energy security. Looking back, we find that the diversification of energy trade partners, or the lack thereof, was the main factor that underpinned energy security dynamics within and across countries over the last two decades. Looking ahead, the green transition is expected to have a net positive effect on energy security provided investments are aligned to address new challenges posed by the increased reliance on renewables.
January 4, 2024
The Return of Industrial Policy in Data
Description: This paper introduces the New Industrial Policy Observatory (NIPO) dataset and documents emergent patterns of policy intervention during 2023 associated with the return of industrial policy. The data show that the recent wave of new industrial policy activity is primarily driven by advanced economies, and that subsidies are the most employed instrument. Trade restrictions on imports and exports are more frequently used by emerging market and developing economies. Strategic competitiveness is the dominant motive governments give for these measures, but other objectives such as climate change, resilience and national security are on the rise. In exploratory regressions, we find that implemented measures are correlated with the past use of measures by other governments in the same sector, pointing to the tit-for-tat nature of industrial policy. Furthermore, domestic political economy factors and macroeconomic conditions correlate with the use of industrial policy measures. We intend for the NIPO to be a publicly available resource to help monitor the evolution and effects of industrial policies.
2023
December 22, 2023
Divided We Fall: Differential Exposure to Geopolitical Fragmentation in Trade
Description: This paper assesses differences in countries’ macroeconomic exposure to trade fragmentation along geopolitical lines. Estimating structural gravity regressions for sector-level bilateral trade flows between 185 countries, we find that differences in individual countries’ geopolitical ties act as a barrier to trade, with the largest effects concentrated in a few sectors (notably, food and high-end manufacturing). Consequently, countries’ exposure via trade to geopolitical shifts varies with their market size, comparative advantage, and foreign policy alignments. Introducing our estimates into a dynamic many-country, many-sector quantitative trade model, we show that geoeconomic fragmentation—modelled as an increased sensitivity of trade costs to geopolitics and greater geopolitical polarization—generally leads to lower trade and incomes. However, emerging markets and developing economies (EMDEs) tend to see the largest impacts: real per-capita income losses for the median EMDE in Asia are 80 percent larger, and for the median EMDE in Africa 120 percent larger, than for the median advanced economy. This suggests that the costs of trade fragmentation could fall disproportionally on countries that can afford it the least.
December 22, 2023
Getting to Know GMMET: The Global Macroeconomic Model for the Energy Transition
Description: This paper presents GMMET, the Global Macroeconomic Model for the Energy Transition, and provides documentation of the model structure, data sources and model properties. GMMET is a large-scale, dynamic, non-linear, microfounded multicountry model whose purpose is to analyze the short- and medium-term macroeconomic impact of curbing greenhouse gas (GHG) emissions. The model provides a detailed description of GHG-emitting activities (related to both fossil fuel and non-fossil-fuel processes) and their interaction with the rest of the economy. To better capture real world obstacles of the energy transition, GMMET features a granular modelling of electricity generation (capturing the intermittency of renewables), transportation (capturing network externalities between charging stations and electric vehicle adoption), and fossil fuel mining (replicating estimated supply elasticities at various time horizons). The model also features a rich set of policy tools for the energy transition, including taxation of GHG emissions, various subsidies, and regulations.
December 22, 2023
Designing a Presumptive Income Tax Based on Turnover in Countries with Large Informal Sectors
Description: Turnover (sales) is frequently used in developing countries as a presumptive income tax base, to economize on the costs of tax administration and taxpayer compliance. We construct a simple model where a size threshold separates firms paying turnover tax from those paying profit tax (regular income tax), and where firms have the option of producing in the untaxed, informal sector. The optimal turnover tax rate trades off two policy concerns: reducing informality and avoiding strategic reductions in sales by firms seeking to remain below the threshold for the profit tax. We provide analytical results and calibrate the model to compute the optimal policy using realistic parameter values. The optimal turnover tax rate for countries with large informal sectors is found to be around 2.5% across most scenarios, while the threshold separating the turnover tax regime from profit tax lies for the most part between $65,000 and $95,000. Introducing an optimally designed turnover tax reduces the rate of informality of businesses by about 12 percentage points in the calibrated model.
December 22, 2023
Flattening the Curve and the Flight of the Rich: Pandemic-Induced Shifts in US and European Housing Markets
Description: The pattern of increasing suburban house prices relative to urban centers initiated during the pandemic continues to hold across the top 30 US metropolitan statistical areas (MSAs). In contrast, European countries such as Denmark, France, and the United Kingdom did not experience a similar shift in valuations. We posit and find supporting evidence that these divergent patterns partially due to differences in the characteristics of suburban areas, particularly in terms of household income and property sizes; with European suburbs being relatively poorer and characterized by smaller housing units. We show that, in the US, MSAs with suburban features more akin to those in European cities generally experienced little to no increase in suburban housing prices compared to their urban centers. Finally, our findings indicate that migration patterns of the high-income population might have partially influenced the urban-suburban revaluation in the US.
December 22, 2023
Non-traded Gains From Trade - Selection in the Non-Traded Sector: Evidence from Brazil
Description: We investigate how trade shocks affect the allocation of labor across plants at the local labor market level. Using Brazil’s import liberalization as a quasi-natural experiment, we uncover a new margin for the gains from trade: the reallocation of labor from smaller to larger producers in the non-traded sector. We find that in response to liberalization, larger non-traded producers self-select into importing, expanding as they gain access to inputs from abroad. We then develop a parsimonious model of heterogeneous producers incorporating this mechanism. The theory is consistent with the empirical findings and show that reallocation among non-traded producers is welfare-enhancing. In contrast, this reallocation effect disappears when all nontraded producers make the same importing decision.