Automation, Skills Use and Training
This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts’ discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results.
The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities.
A Roadmap for Investment Promotion and Export Diversification: The Case of Jordan
Jordan faces a number of pressing economic challenges: low growth, high unemployment, rising debt levels, and continued vulnerability to regional shocks. After a decade of fast economic growth, the economy decelerated with the Global Financial Crisis of 2008-09. From then onwards, various external shocks have thrown its economy out of balance and prolonged the slowdown for over a decade now. Conflicts in neighboring countries have led to reduced demand from key export markets and cut off important trade routes. Foreign direct investment, which averaged 12.7% of gross domestic product (GDP) between 2003-2009, fell to 5.1% of GDP over the 2010-2017. Regional conflicts have interrupted the supply of gas from Egypt – forcing Jordan to import oil at a time of record prices, had a negative impact on tourism, and also provoked a massive influx of migrants and refugees. Failure to cope with 50.4% population growth between led to nine consecutive years (2008-2017) of negative growth rates in GDP per capita, resulting in a cumulative loss of 14.0% over the past decade (2009-2018). Debt to GDP ratios, which were at 55% by the end of 2009, have skyrocketed to 94%.
Over the previous five years Jordan has undertaken a significant process of fiscal consolidation. The resulting reduction in fiscal impulse is among the largest registered in the aftermath of the Financial Crises, third only to Greece and Jamaica, and above Portugal and Spain. Higher taxes, lower subsidies, and sharp reductions in public investment have in turn furthered the recession. Within a context of lower aggregate demand, more consolidation is needed to bring debt-to-GDP ratios back to normal. The only way to break that vicious cycle and restart inclusive growth is by leveraging on foreign markets, developing new exports and attracting investments aimed at increasing competitiveness and strengthening the external sector. The theory of economic complexity provides a solid base to identify opportunities with high potential for export diversification. It allows to identify the existing set of knowhow, skills and capacities as signaled by the products and services that Jordan is able to make, and to define existing and latent areas of comparative advantage that can be developed by redeploying them. Service sectors have been growing in importance within the Jordanian economy and will surely play an important role in export diversification. In order to account for that, we have developed an adjusted framework that allows to identify the most attractive export sectors including services.
Based on that adjusted framework, this report identifies export themes with a high potential to drive growth in Jordan while supporting increasing wage levels and delivering positive spillovers to the non-tradable economy. The general goal is to provide a roadmap with key elements of a strategy for Jordan to return to a high economic growth path that is consistent with its emerging comparative advantages.
Migration and Post-conflict Reconstruction: The Effect of Returning Refugees on Export Performance in the Former Yugoslavia
During the early 1990s Germany offered temporary protection to over 700,000 Yugoslavian refugees fleeing war. By 2000, many had been repatriated. We exploit this natural experiment to investigate the role of migrants in post-conflict reconstruction in the former Yugoslavia, using exports as outcome. Using confidential social security data to capture intensity of refugee workers to German industries–and exogenous allocation rules for asylum seekers within Germany as instrument—we find an elasticity of exports to return migration between 0.08 to 0.24. Our results are stronger in knowledge-intensive industries and for workers in occupations intensive in analytical and managerial skills.
Female Labor in Jordan: A Systematic Approach to the Exclusion Puzzle
Women in Jordan are excluded from labor market opportunities at among the highest rates in the world. Previous efforts to explain this outcome have focused on specific, isolated aspects of the problem and have not exploited available datasets to test across causal explanations. We develop a comprehensive framework to analyze the drivers of low female employment rates in Jordan and systematically test their validity, using micro-level data from Employment and Unemployment Surveys (2008-2018) and the Jordanian Labor Market Panel Survey (2010-2016). We find that the nature of low female inclusion in Jordan’s labor market varies significantly with educational attainment, and identify evidence for different factors affecting different educational groups. Among women with high school education or less, we observe extremely low participation levels and find the strongest evidence for this phenomenon tracing to traditional social norms and poor public transportation. On the higher end of the education spectrum – university graduates and above – we find that the problem is not one of participation, but rather of unemployment, which we attribute to a small and undiversified private sector that is unable to accommodate women’s needs for work and work-family balance.
Converge and European Value Chains: How Deep Integration Can Reignite Convergence in the EU
Convergence, the process by which poorer countries ‘catch-up’ to rich ones in terms of real incomes, is at the core of the promise of the European Union and the Eurozone. It was enshrined in the founding treaty of the EU and is at the center of policy-making today. However, after several decades of strong European growth, convergence across many core countries has come to a halt. Policymaking has focused on promoting greater integration between EU countries and in particular within the Eurozone to foster further convergence but the political gridlock has stopped these initiatives from moving forward.
Further economic and political integration is not necessary for, and may in fact be orthogonal to, greater convergence in the EU. EU countries have converged at roughly the same rate as non-EU countries since the 1950s, suggesting EU membership is not responsible for convergence. Further, there is no statistically significant difference in the rate of convergence between EA 12 or EA19 members before and after the introduction of the Euro. Finally, many current Eurozone members have converged in the last 10 years suggesting that the Euro structure does not impede convergence. Still, further integration may be desirable in the EU – not least to restore the union to its democratic ideals.
The only variable that is associated with greater convergence in European countries is value chain integration, particularly upstream integration. Upstream integration is domestic value added embodied in intermediate exports that are re-processed abroad. High upstream integration indicates strong participation in value chains and integration into regional production networks. The level of upstream integration varies tremendously within the EU, going from 10% of GDP in Spain to 28% of GDP in Estonia. Once we control for the level of upstream integration, the rate of converge in European countries goes from 1.25% to 4.5%.
High growth countries are deeply integrated in sub-regional supply chains within Europe. Europe is often thought of as a single supply chain but, in fact, there are several sub-regional supply chains within Europe. These sub-regional supply chains are based on strong bilateral ties between neighboring countries. Participation in one of these supply chains appears to matter more for growth than integration with any particular country (e.g. Germany) or to any specific region. Participation in these supply chains is independent of EU membership – it is due to historical ties and deliberate national policymaking.
The EU must put cross-country collaboration at the core Horizon Europe– its €100B mission driven innovation programme – to future-proof European supply chains and reintegrate lagging countries. Horizon Europe is the EU’s bet to become a global technology leader. Leading in technology involves not only innovation but also developing the supply chains of the future that allow innovation to be commercially successful. Horizon Europe will not succeed if innovation spending continues occur in national siloes as it did in the Horizon 2020 programme. The EU must pro-actively manage and integrate innovation efforts across the Union and ensure that commercialization occurs at the EU level. Only then can we hope to achieve both EU technological leadership and convergence within the EU.
Putting Global Governance in its Place
In a world economy that is highly integrated, most policies produce effects across the border. This is often believed to be an argument for greater global governance, but the logic requires scrutiny. There remains strong revealed demand for policy and institutional diversity among nations, rooted in differences in historical, cultural, or development trajectories. The canonical case for global governance is based on two set of circumstances. The first occurs when there is global public good (GPG) and the second under “beggar-thy-neighbor” (BTN) policies. However, the world economy is not a global commons, and virtually no economic policy has the nature of a global public good (or bad). And while there are some important BTN policies, much of our current discussions deal with policies that are not true BTNs. The policy failures that exist arise not from weaknesses of global governance, but from distortions of domestic governance. As a general rule, these domestic failures cannot be fixed through international agreements or multilateral cooperation. The paper closes by discussing an alternative model of global governance called “democracy-enhancing global governance.”
What Works for Active Labor Market Policies?
The past 5 years have witnessed a flurry of RCT evaluations that shed new light on the impact and cost effectiveness of Active Labor Market Policies (ALMPs) aiming to improve workers´ access to new jobs and better wages. We report the first systematic review of 102 RCT interventions comprising a total of 652 estimated impacts. We find that (i) a third of these estimates are positive and statistically significant (PPS) at conventional levels; (ii) programs are more likely to yield positive results when GDP growth is higher and unemployment lower; (iii) programs aimed at building human capital, such as vocational training, independent worker assistance and wage subsidies, show significant positive impact, and (iv) program length, monetary incentives, individualized follow up and activity targeting are all key features in determining the effectiveness of the interventions.
The Cost of Holding Foreign Exchange Reserves
Recent studies that have emphasized the costs of accumulating reserves for self-insurance purposes have overlooked two potentially important side-effects. First, the impact of the resulting lower spreads on the service costs of the stock of sovereign debt, which could substantially reduce the marginal cost of holding reserves. Second, when reserve accumulation reflects countercyclical LAW central bank interventions, the actual cost of reserves should be measured as the sum of valuation effects due to exchange rate changes and the local-to-foreign currency exchange rate differential (the inverse of a carry trade profit and loss total return flow), which yields a cost that is typically smaller than the one arising from traditional estimates based on the sovereign credit risk spreads. We document those effects empirically to illustrate that the cost of holding reserves may have been considerably smaller than usually assumed in both the academic literature and the policy debate.
Empleo Femenino en las Ciudades Colombianas: Un Método de Descripción Estadística
Este trabajo propone una metodología de descomposición estadística para describir en
forma coherente las dimensiones del empleo femenino según la estructura del mercado
laboral y según la estructura productiva de las ciudades. La metodología se utiliza
para analizar el empleo femenino “pleno y decente” en 23 ciudades colombianas entre
2008 y 2016. Según la estructura laboral, se encuentra que la brecha de género en el
empleo pleno y decente se debe a diferencias en la participación laboral y en la
formalidad del empleo, más que a diferencias entre hombres y mujeres en el desempleo
o en la dedicación al empleo. Según la estructura productiva, se encuentra que la
orientación por sexo y la composición del empleo sectorial de las ciudades tienen
influencia modesta en las diferencias entre ciudades en la generación de empleo
femenino pleno y decente, ya que éstas resultan sobre todo de las diferencias en la
capacidad de generación de para ambos sexos. La metodología también se usa para
analizar los cambios en el período. Se sugieren posibles extensiones de la metodología
propuesta e implicaciones para futuras investigaciones.
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Female Employment in Colombian Cities: A Method of Statistical Description
This paper proposes a methodology of statistical decomposition to describe in a
coherent way the dimensions of female employment according to the structure of the
labor market and according to the productive structure of cities. The methodology is
used to analyze “full and decent” female employment in 23 Colombian cities between
2008 and 2016. According to the labor structure, it is found that the gender gap in full
and decent employment is due to differences in labor participation and in the
formality of employment, rather than differences between men and women in
unemployment or dedication to employment. According to the productive structure, it
is found that the orientation by sex and the composition of sectoral employment in
cities have a modest influence on the differences between cities in the generation of full
and decent female employment, since these are mainly the result of differences in
cities’ capacities to generate employment for both sexes. The methodology is also used
to analyze changes in the period. Potential extensions of the proposed methodology
and implications for future research are suggested.
Forecasting Formal Employment in Cities
Can “full and productive employment for all” be achieved by 2030 as envisaged by the United Nations Sustainable Development Goals? This paper assesses the issue for the largest 62 Colombian cities using social security administrative records between 2008 and 2015, which show that the larger the city, the higher its formal occupation rate. This is explained by the fact that formal employment creation is restricted by the availability of the diverse skills needed in complex sectors. Since skill accumulation is a gradual path-dependent process, future formal employment by city can be forecasted using either ordinary least square regression results or machine learning algorithms. The results show that the share of working population in formal employment will increase between 13 and nearly 32 percent points between 2015 and 2030, which is substantial but still insufficient to achieve the goal. Results are broadly consistent across methods for the larger cities, but not the smaller ones. For these, the machine learning method provides nuanced forecasts which may help further explorations into the relation between complexity and formal employment at the city level.