Pedro H. Albuquerque

Membre affilié

Développement et économie politique
Albuquerque
Statut
Chercheur
Domaine(s) de recherche
Économétrie, Économie de l'environnement, Économie du développement
Thèse
2001, University of Wisconsin-Madison
Contact
pha[at]use.startmail.com
Site
http://www.pedrohalbuquerque.net/
Résumé This article synthesizes the insights gained through presentations and discussions at the 2023 IEEE Workshop on Norbert Wiener in the 21st Century (21CW2023), which focused on “The Future of Work in the Age of Automation.” Hosted at Purdue University, this interdisciplinary convening of technologists, social scientists, and humanists explored the impacts of automation on labor, drawing on Wiener’s legacy of insights as a backdrop to examine the technologically mediated future we face in coming decades. The workshop presented a rare opportunity to reflect critically on these issues at a pivotal moment in human and technological history, and to elicit underappreciated dimensions. Areas of focus include: the qualitative and quantitative losses associated with automation and AI, the impacts automation has for questions about the meaningfulness of work, the challenges we face related to uncertainty and lack of predictability in technological advancement, and the opportunities that exist for centering human values and agency in these conversations. While acknowledging many items for concern in the context of automation in the future of work, such as the domination of economic narratives, a potential loss of qualitative texture, and the neglect of certain issues key to human identity, the authors conclude by offering optimistic visions—or calls—for redefining value and labor, preserving human agency, and embracing creative problem-solving.
Mots clés Meaning of work, Ethical innovation, Artificial intelligence, Technology ethics, Cybernetics, Norbert Wiener, Automation, Future of work, Heating systems, IEEE Societies, Oral communication, SOCIAL SCIENCES, Technological innovation, Industries, Cybernetics, Ethics, Automation, Conferences, Limits of predictability
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Résumé Purpose: The article examines stock index price responses in Brazil, Chile, and Mexico to those in the US, Spain, and four European countries during three sub-periods surrounding the neoliberal reforms of the 1990s: 1988 to 1994, 1995 to 1998, and 1999 to 2004. Design/methodology/approach: The methodology is empirical and uses time series analysis, in particular impulse response functions (IRFs) derived using vector autoregression (VAR) models. Main Findings: It finds that equity markets became more interconnected as countries opened to international trade and capital flows and that there was an increasing impact of Spain on Latin American equity markets. Stronger economic linkages (more trade and foreign direct investment) between Spain and these countries, especially in Brazil, seem to explain increased equity market interconnectedness. Research limitations/implications: The study limitations are, in general, the same that apply to the VAR methodology, and in particular, to missing control variables or to possible bias in the selection of the subsample periods used as historical benchmarks. Originality/value: To our knowledge, no other work showed that there was an increasing impact of Spain on Latin American equity markets during the neoliberal reform period by using IRFs and VAR models.
Mots clés Emerging markets, VAR modeling, Stock markets interdependence, Spain, Latin America
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Résumé Aims: we propose a sociotechnical taxonomy for the analysis of socioeconomic disruptions caused by technological innovations. Methodology: a transdisciplinary principled approach is used to build the taxonomy through categorization and characterization of technologies using concepts and definitions originating from cybernetics, occupational science, and economics. The sociotechnical taxonomy is then used, with the help of logical propositions, to connect the characteristics of different categories of technologies to their socioeconomic effects, for example their externalities. Results: we offer concrete illustrations of concepts and uses, and an Industry 5.0 case study as an application of the taxonomy. We suggest that the taxonomy can inform the analysis of opportunities and risks related to technological disruptions, specially of those that result from the rise of cognitive machines.
Mots clés Cognitive machines, Sociotechnical taxonomy, Occupational science, Artificial intelligence, Technological disruptions, Industry 50, Externalities, Skillreplacing, Skill-enhancing, Cognitive technology, Physical technology, Autonomous, Automatic, Technological innovations
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Résumé In this article we argue that the disruptive social implications of skill-replacing technological innovations are determined neither by human characteristics, such as "low skills" or "low cognition," nor by task characteristics, such as "routine," as it is typically assumed in the predominant economics and management science literature, but by the cybernetic characteristics of the innovations. We also propose that the negative effects of technological disruptions on human well-being cannot be fully understood without the use of a transdisciplinary approach involving cybernetics science and occupational science, and that it is urgent that policymakers look beyond their narrow effects on productivity and on the labor force, and consider instead the complexity of the interactions between cybernetic technologies and meaningful human occupations. We offer as an example the case of the fast adoption of online food delivery services and of remote work technologies during the COVID-19 pandemic. Ethical implications are derived from the arguments.
Mots clés Labor and nonlabor occupations, Occupational science, Cybernetics science, Technological innovations, Technological disruptions
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Résumé This paper presents an asymptotically optimal time interval selection criterion for the long-run correlation block estimator (Bartlett kernel estimator) based on the Newey–West and Andrews–Monahan approaches. An alignment criterion that enhances finite-sample performance is also proposed. The procedure offers an optimal alternative to the customary practice in finance and economics of heuristically or arbitrarily choosing time intervals or lags in correlation studies. A Monte Carlo experiment using parameters derived from Dow Jones returns data confirms that the procedure can be MSE-superior to alternatives such as aggregation over arbitrary time intervals, parametric VAR, and Newey–West covariance matrix estimation with automatic lag selection.
Mots clés Long-run correlation, Andrews–Monahan, Newey–West, Alignment, Lag selection, Bartlett
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Résumé Panel VAR methodology is used in this study to empirically evaluate the effects of natural disasters and state fragility on economic and financial dimensions in developing countries such as GDP per capita, banking and financial system deposits, banks’ Z-scores, and non-performing loans. Results based on three panels of up to 66 countries and 17 years of annual data indicate that natural disasters and state fragility may cause significant economic and financial disruption in low-income and middle-income countries. Shocks from natural disasters seem to be temporary and detrimental only to non-performing loans, while shocks from state fragility appear to be permanent and to create detrimental economic and financial feedback loops.
Mots clés State fragility, Natural disasters, GDP per capita, Banking stability
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Résumé In a linear economy, manufacturing is less costly and more profitable than remanufacturing because of reduced private costs of utilization and production. However, manufacturing also involves higher resource extraction and waste as externalized costs than remanufacturing. We use a vintage capital framework to assess technological innovations in remanufacturing and their potential benefits to society and human occupations. Our study shows that replacing manufacturing with remanufacturing technologies creates positive static and dynamic circular economy externalities. These externalities can be quantified to assess improvements in social outcomes. A smartphone remanufacturing innovation case study is presented as an illustration of the article’s main ideas. Future research should investigate additional specific cases to develop a comprehensive methodology for assessing the impact of remanufacturing innovations on social outcomes. This will provide valuable insights into the broader implications of remanufacturing practices.
Mots clés National accounting systems, Sustainability, Circular economy, Occupational meaning, Externalities, Manufacturing
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Résumé The increase in oil prices in recent years has occurred concurrently with a rapid expansion of Chinese exports in the world markets, despite China being an oil importing country. In this paper we develop a theoretical model that explains the positive correlation between Chinese exports and the oil price. The model shows that Chinese growth can lead to an increase in oil prices that has a stronger impact on its export competitors. This is due to the large labor force surplus of China. We then examine this hypothesis by estimating a reduced form equation for Chinese exports using Rodrik (2006)'s measure of export competitiveness, together with the oil price, productivity, real exchange rate, and foreign industrial production over the monthly 1992-2005 period. The results suggest a stable relationship and yields slightly positive values for the price of oil and elastic coefficients for export competitiveness, along with the expected negative elasticity for the real exchange rate.
Mots clés Oil prices, Competitiveness, Exports, Productivity, ARDL model
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Résumé During the last two decades of the twentieth century, Brazil went through a sequence of failed stabilization plans that tried to cope with an enduring hyperinflation. This paper uses a money demand model to evaluate monetary policies during those episodes. Consistency between money supply and expected conditional money demand growth rates is considered for each plan. It is shown that unsuccessful programs were marked by excessive liquidity. The results not only suggest that monetary mismanagement led to the failure of the plans, but also that the excessive liquidity could have been predicted.
Mots clés Money demand, Money supply, Monetary policy, Inflation, Stabilization, Brazil
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Résumé In this paper we address the following question: would a fully integrated world economy eliminate the widely reported decline in the terms of trade of primary commodities? We address the question by looking at the terms of trade within the US (a highly integrated economy). Our findings show two results. First, US internal real commodities' terms of trade over the 1947-1998 period experienced slowly declining but significant trends. Second, once we control for the effect of US prices on international terms of trade, we find a long-run relationship between the US and international relative prices. These findings support the view that the decline of commodities' terms of trade bears no relationship with the process of globalisation. This seems to indicate that, if world terms of trade behaved as the US terms of trade, neither increased integration nor protectionist measures would eliminate this trend.
Mots clés Economic integration, Globalisation, Prebisch-Singer
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Résumé The article evaluates crime trends in south border American and Mexican sister cities using panel data analysis. The region offers a unique assessment opportunity since cities are characterized by shared cultural and historical legacies, institutional heterogeneity, and disparate crime outcomes. Higher homicide rates on the Mexican side seem to result from deficient law enforcement. Higher population densities in Mexican cities appear to also be a factor. Cultural differences, on the other hand, have been decreasing, and apparently do not play a substantial role. The homicide rate dynamics show opportunistic clustering of criminal activity in Mexican cities, while no clustering is found on the American side. Crime also appears to spill from Mexican cities into American cities. Homicide rates on both sides of the border have been falling faster than countrywide rates, leading, in the case of American cities, and against stereotypes, to rates below the countrywide rate in 2001.
Mots clés Crime, Border, Law Enforcement, Justice, Mexico, Panel data
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Résumé This paper uses a dynamic general equilibrium model to study the economic effects of bank account debits (BAD) taxation. Australia and various Latin American countries have levied or levy BAD taxes. Aspects such as financial disintermediation, market illiquidity, and impacts on dividend and interest rates are considered. Part of the BAD tax revenue may be fictitious, due to increased interest payments on government debt. The Brazilian BAD tax (CPMF) experience is evaluated. The empirical analysis confirms some theoretical predictions. Incidence base over GDP appears to be sensitive to the tax rate, possibly engendering a Laffer curve. The tax may also cause real interest rates to increase. Furthermore, the deadweight losses are relatively large, even if revenues are small. The theoretical and empirical results suggest that the BAD tax is not adequate for revenue collection.
Mots clés Bank account debits tax, BAD tax, Financial transactions Tax, FTT, Currency transaction tax, CTT, Automated payment transaction tax, APT tax, CPMF, Disintermediation, Illiquidity
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Résumé In this study, we examine the response of Latin American stock markets to movements in European stock markets. Our results vary depending on the openness of the country in terms of international trade. We find evidence that Latin American stock markets are affected by Spanish stock market. Additionally, during the second and third-periods (1995 to 1998 and 1999 to 2004) Spain appears to have much stronger ties (such as more trade) with Brazil and Chile, and this might explain why Brazil and Chile are affected from Spain and not from the other European markets. This study uncovers two important findings. First, Spain has an effect on Latin American markets but these responses are not homogeneous across markets. Second, the magnitude of Spain's influence is different in each of the three sub-periods under study.
Mots clés Emerging markets, Latin America, Stock markets interdependence
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Résumé A practical aggregation method for heterogeneous log-linear functions is presented. Inequality measures are employed in the construction of a simple but exact aggregate representation of an economy. Three macroeconomic applications are discussed: the aggregation of the Lucas supply function, the time-inconsistent behaviour of an egalitarian social planner facing heterogeneous discount rates, and the case of a simple heterogeneous growth model. In the latter application, aggregate CPS data is used to show that the slowdown that followed the first oil shock is worse than usually thought, and that the "new economy" growth resurgence is not as strong as it appears.
Mots clés Log-Linear Aggregation, Theil&#039, s Second Measure, Mean Logarithmic Deviation, Heterogeneous Growth, Inequality, Household Income
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Résumé Aims: we propose a sociotechnical taxonomy for the analysis of socioeconomic disruptions caused by technological innovations. Methodology: a transdisciplinary principled approach is used to build the taxonomy through categorization and characterization of technologies using concepts and definitions originating from cybernetics, occupational science, and economics. The sociotechnical taxonomy is then used, with the help of logical propositions, to connect the characteristics of different categories of technologies to their socioeconomic effects, for example their externalities. Results: we offer concrete illustrations of concepts and uses, and an Industry 5.0 case study as an application of the taxonomy. We suggest that the taxonomy can inform the analysis of opportunities and risks related to technological disruptions, specially of those that result from the rise of cognitive machines.
Mots clés Cognitive machines, Sociotechnical taxonomy, Occupational science, Artificial intelligence, Technological disruptions, Industry 50, Externalities, Skillreplacing, Skill-enhancing, Cognitive technology, Physical technology, Autonomous, Automatic, Technological innovations
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Résumé Mexican cities along the US-Mexico border, especially Cd. Juarez, became notorious due to high femicide rates supposedly associated with maquiladora industries and the NAFTA. Nonetheless, statistical evaluation of data from 1990 to 2012 shows that their rates are consistent with other Mexican cities' rates and tend to fall with increased employment opportunities in maquiladoras. Femicide rates in Cd. Juarez are in most years like rates in Cd. Chihuahua and Ensenada and, as a share of overall homicide rates, are lower than in most cities evaluated. These results challenge conventional wisdom and most of the literature on the subject.
Mots clés Juarez, Mexico, Border, Femicide, Homicide, Violence against women, Gender violence, Crime, Maquiladoras
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Résumé In a linear economy, manufacturing is less costly and more profitable than remanufacturing because of reduced private costs of utilization and production. However, manufacturing also involves higher resource extraction and waste as externalized costs than remanufacturing. We use a vintage capital framework to assess technological innovations in remanufacturing and their potential benefits to society and human occupations. Our study shows that replacing manufacturing with remanufacturing technologies creates positive static and dynamic circular economy externalities. These externalities can be quantified to assess improvements in social outcomes. A smartphone remanufacturing innovation case study is presented as an illustration of the article's main ideas. Future research should investigate additional specific cases to develop a comprehensive methodology for assessing the impact of remanufacturing innovations on social outcomes. This will provide valuable insights into the broader implications of remanufacturing practices.
Mots clés Manufacturing, Externalities, Occupational meaning, Circular economy, Sustainability, National accounting systems
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Résumé In this article we argue that the disruptive social implications of skill-replacing technological innovations are determined neither by human characteristics, such as "low skills" or "low cognition," nor by task characteristics, such as "routine," as it is typically assumed in the predominant economics and management science literature, but by the cybernetic characteristics of the innovations. We also propose that the negative effects of technological disruptions on human well-being cannot be fully understood without the use of a transdisciplinary approach involving cybernetics science and occupational science, and that it is urgent that policymakers look beyond their narrow effects on productivity and on the labor force, and consider instead the complexity of the interactions between cybernetic technologies and meaningful human occupations. We offer as an example the case of the fast adoption of online food delivery services and of remote work technologies during the COVID-19 pandemic. Ethical implications are derived from the arguments.
Mots clés Technological disruptions, Technological innovations, Cybernetics science, Occupational science, Labor and nonlabor occupations
Télécharger HAL Google Scholar
Résumé The article examines stock index price responses in Brazil, Chile and Mexico to those in the US, Spain and four European countries during three sub-periods surrounding the neoliberal reforms of the 1990s: 1988 to 1994, 1995 to 1998, and 1999 to 2004, using VAR modeling. It finds that equity markets became more interconnected as countries opened to international trade and capital flows, and that there was an increasing impact of Spain on Latin American equity markets. Stronger economic linkages (more trade and foreign direct investment) between Spain and these countries, specially in Brazil, seem to explain increased equity markets interconnectedness.
Mots clés VAR modeling, Stock markets interdependence, Spain, Latin America, Emerging markets
Télécharger HAL Google Scholar
Résumé In this article we argue that the disruptive social implications of skill-replacing technological innovations are determined neither by human characteristics, such as "low skills" or "low cognition," nor by task characteristics, such as "routine," as it is typically assumed in the predominant economics and management science literature, but by the cybernetic characteristics of the innovations. We also propose that the negative effects of technological disruptions on human well-being cannot be fully understood without the use of a transdisciplinary approach involving cybernetics science and occupational science, and that it is urgent that policymakers look beyond their narrow effects on productivity and on the labor force, and consider instead the complexity of the interactions between cybernetic technologies and meaningful human occupations. We offer as an example the case of the fast adoption of online food delivery services and of remote work technologies during the COVID-19 pandemic. Ethical implications are derived from the arguments.
Mots clés Labor and nonlabor occupations, Occupational science, Cybernetics science, Technological innovations, Technological disruptions
Publication HAL Google Scholar