Business and Economics > Production and Operations Management

You are looking at 1 - 10 of 80 items for :

  • Type: Journal Issue x
Clear All Modify Search
Bas B. Bakker
,
Sophia Chen
,
Dmitry Vasilyev
,
Olga Bespalova
,
Moya Chin
,
Daria Kolpakova
,
Archit Singhal
, and
Yuanchen Yang
Since 1980, income levels in Latin America and the Caribbean (LAC) have shown no convergence with those in the US, in stark contrast to emerging Asia and emerging Europe, which have seen rapid convergence. A key factor contributing to this divergence has been sluggish productivity growth in LAC. Low productivity growth has been broad-based across industries and firms in the formal sector, with limited diffusion of technology being an important contributing factor. Digital technologies and artificial intelligence (AI) hold significant potential to enhance productivity in the formal sector, foster its expansion, reduce informality, and facilitate LAC’s convergence with advanced economies. However, there is a risk that the region will fall behind advanced countries and frontier emerging markets in AI adoption. To capitalize on the benefits of AI, policies should aim to facilitate technological diffusion and job transition.
Mariarosaria Comunale
and
Andrea Manera
We review the literature on the effects of Artificial Intelligence (AI) adoption and the ongoing regulatory efforts concerning this technology. Economic research encompasses growth, employment, productivity, and income inequality effects, while regulation covers market competition, data privacy, copyright, national security, ethics concerns, and financial stability. We find that: (i) theoretical research agrees that AI will affect most occupations and transform growth, but empirical findings are inconclusive on employment and productivity effects; (ii) regulation has focused primarily on topics not explored by the academic literature; (iii) across countries, regulations differ widely in scope and approaches and face difficult trade-offs.
Serhan Cevik
,
Alice Fan
, and
Sadhna Naik
Using a large panel of firm-level data, this paper provides an analysis of how inflation shocks in the Baltics between 1997 and 2021 affected total factor productivity (TFP), gross profitability, and net fixed investment in nonfinancial sectors. First, we find that inflation and inflation volatility had mixed effects on TFP growth, profitability and net fixed investment in the first year as well as over the medium term, albeit at a dissipating rate. Second, focusing on subsamples, we find that inflation shocks had differential effects on large versus small firms. Third, we explore sectoral heterogeneity in how firms responded to inflation shocks and observe significant variation across tradable and non-tradable sectors. Finally, estimates from a state-dependent model suggest that firms’ response to inflation shocks varied with the state of the economy. The results suggest that nonfinancial firms in the Baltics have been agile in adjusting to inflation shocks, possibly by either transferring higher production costs to consumers or substituting inputs. Given the differences in the level and nature of the recent inflation shock and the sample period on which our analysis is based, empirical findings presented in this paper might not necessarily apply to the latest bout of inflation in the Baltics.
Kodjovi M. Eklou
and
Shakeba Foster
Firms play an important role in shaping income inequality at the aggregated country level, given that wages represent a significant proportion of household income. We investigate the distributional consequences of capital account liberalization, relying on firm level data to explore the implications for betweenfirms earning inequality in ASEAN5 countries over the period 1995-2019. We find that between-firms wage dispersion alone, accounts for a nontrivial proportion of the variation in the market Gini. Our empirical findings show that capital account liberalization increases between-firms wage inequality, as wages grow faster at initially high-paying firms and slow-down at firms at the lower portion of the wage distribution. These results are robust to a battery of robustness checks. Further, the directions and categories of capital account liberalization matter as results are pronounced for inflow liberalization and equity capital flows. We also show that capital account liberalization induces an increase in Profit-to-Wage ratios. Furthermore, the impact depends on country characteristics (wage setting institutions, the level of financial development and the size of the informal sector) as well as industry characteristics (export orientation and external finance dependence).
Mr. Jorge A Alvarez
and
Allan Dizioli
We document that past highly inflationary episodes are often characterized by a steeper inflationslack relationship. We show that model-generated data from a standard small Dynamic Stochastic General Equilibrium (DSGE) model can replicate this empirical finding when estimated with different expectation formation processes. When inflation becomes de-anchored and expectations drift, we can observe high inflation even with a mildly positive output gap in response to cost-push shocks. The results imply that we should not use an unconditioned (not controlling for expectations change) Phillips curve estimated in normal times to predict the cost of reining in inflation. Our optimal policy exercises prescribe early monetary policy tightening and then easing in the context of positive output gaps and inflation far above the central bank target.
Allan Dizioli
and
Hou Wang
This paper estimates a standard Dynamic Stochastic General Equilibrium (DSGE) model that includes a wage and price Phillip's curves with different expectation formation processes for Brazil and the USA. Other than the standard rational expectation process, we also use a limited rationality process, the adaptive learning model. In this context, we show that the separate inclusion of a labor market in the model helps to anchor inflation even in a situation of adaptive expectations, a positive output gap and inflation above target. The estimation results show that the adaptive learning model does a better job in fitting the data in both Brazil and the USA. In addition, the estimation shows that expectations are more backward-looking and started to drift away sooner in 2021 in Brazil than in the USA. We then conduct optimal policy exercises that prescribe early monetary policy tightening in the context of positive output gaps and inflation far above the central bank target.
Ms. Valerie Cerra
,
Mai Hakamada
, and
Mr. Ruy Lama
One of the most puzzling facts in the wake of the Global Financial Crisis (GFC) is that output across advanced and emerging economies recovered at a much slower rate than anticipated by most forecasting agencies. This paper delves into the mechanics behind the observed slow recovery and the associated permanent output losses in the aftermath of the crisis, with a particular focus on the role played by financial frictions and investment dynamics. The paper provides two main contributions. First, we empirically document that lower investment during financial crises is the key factor leading to permanent loss of output and total factor productivity (TFP) in the wake of a crisis. Second, we develop a DSGE model with financial frictions and capital-embodied technological change capable of reproducing the empirical facts. We also evaluate the role of financial policies in stabilizing output and TFP in response to disruptions in financial markets.
Mr. Holger Floerkemeier
and
Mr. Nikola Spatafora
We discuss regional disparities in economic performance and living standards. We first set out some key facts, and provide a conceptual framework to help analyze whether such disparities are efficient, or instead reflect market and/or policy failures. We examine whether policy attempts to reduce regional disparities necessarily involve a trade-off between equity and efficiency. We then investigate whether policymakers should focus on boosting the economic performance of lagging regions—or, conversely, accept the presence of regional disparities, and instead assist households in lagging regions through transfer payments, investments in education, health, and other basic services, and by facilitating out-migration.
Ms. Natasha X Che
Uruguay experienced one of its biggest economic booms in history during 2004-2014. Since then, growth has come down significantly. The paper investigates the various causes of the boom and discusses the sustainability of these causes. It then compares Uruguay against high-growth countries that were once at a similar income level, across a broad set of structural indicators, to identify priority reform areas that could improve long-term growth prospect.
Frederic Lambert
,
Mr. Andrea Pescatori
, and
Mr. Frederik G Toscani
Labor market informality is a pervasive feature of most developing economies. Motivated by the empirical regularity that the labor informality rate falls with GDP per capita, both at business cycle frequency and in a cross-section of countries, and that the Okun's coefficient falls with the level of labor informality, we build a small open-economy dynamic stochastic general equilibrium model with two sectors, formal and informal, which can replicate these key stylized facts. The model is calibrated to Colombia. The results show that labor market and tax reforms play an important role in changing the informality rate but also caution against over-optimism - with low GDP per capita, informality will always be relatively high as there is insufficient demand for formal goods. Quantitatively we find that higher productivity in the formal sector is key in explaining the difference between Colombia and countries with significantly lower informality. We use the model to study how labor informality and labor market frictions mediate the cyclical response of the economy to shocks, including commodity price shocks which are particularly relevant in Latin America. Informality is shown to play an important role as a shock absorber with the informal-formal margin limiting movements in the employed-unemployed margin.