Once NEET,always NEET? A synthetic panel approach to analyze the Moroccan labor market

In many regions of the world, the persistent, and growing, proportion of young people who are currently Not in Employment, Education or Training—a group increasingly referred to as NEET—is of global concern. This is no less true of Morocco: about 30% of the Moroccan population between age 15 and 24 are currently NEET. Drawing from various rounds of Moroccan Labor Force Surveys, this paper contributes to understanding the complex dynamics of labor markets in developing countries. First, it identifies the socioeconomic determinants of Morocco's NEETs. Second, employing a synthetic panel (SP) methodology in the context of labor market analysis, the paper describes how the condition of NEETs changes over time. One striking, and worrisome, pattern that emerges from the 2010 SP data is that, even after 8 years, a majority of the NEETs remained outside either the labor market or education, with very little chance of moving out of their situation. Their chronic stagnancy confirms the powerful effect that initial conditions have on determining young people's future outcomes. It also highlights the absence of corrective mechanisms and policy interventions within the Moroccan political economy landscape that could help to change NEETs' outcomes along the line.     

Approximations in power transmission planning: implications for the cost and performance of renewable portfolio standards

Renewable portfolio standards (RPSs) are popular market-based mechanisms for promoting development of renewable power generation. However, they are usually implemented without considering the capabilities and cost of transmission infrastructure. We use single- and multi-stage planning approaches to find cost-effective transmission and generation investments to meet single and multi-year RPS goals, respectively. Using a six-node network and assuming a linearized DC power flow, we examine how the lumpy nature of network reinforcements and Kirchhoff’s Voltage Law can affect the performance of RPSs. First, we show how simplified planning approaches that ignore transmission constraints, transmission lumpiness, or Kirchhoff’s voltage law yield distorted estimates of the type and location of infrastructure, as well as inaccurate compliance costs to meet the renewable goals. Second, we illustrate how lumpy transmission investments and Kirchhoff’s voltage law result in compliance costs that are nonconvex with respect to the RPS targets, in the sense that the marginal costs of meeting the RPS may decrease rather than increase as the target is raised. Thus, the value of renewable energy certificates (RECs) also depends on the network topology, as does the amount of noncompliance with the RPS, if noncompliance is penalized but not prohibited. Finally, we use a multi-stage planning model to determine the optimal generation and transmission infrastructure for RPS designs that set multiyear goals. We find that the optimal infrastructure to meet RPS policies that are enforced year-by-year differ from the optimal infrastructure if banking and borrowing is allowed in the REC market.     

Stock market reactions to announcements of the board of directors: evidence from Italy

The board of directors plays an important role in corporate governance. It is an internal mechanism that controls and monitors the actions of managers and aligns the utility functions between corporate owners and managers. The board of directors performs multiple functions that concern, for example, the replacement of the managers, financial policy, the preparation of strategic plans and other actions that affect the performance of the company. The board plays an important role since on the one hand it controls the actions of management and on the other it advises the management regarding the strategies to be adopted. In this study, 100 announcements regarding the appointment of the board of directors of 100 Italian listed companies during the period 2012–2014 are investigated. The results show a positive reaction within 20 days around the announcement date. In four of the six time windows, cumulative abnormal returns (CARs) are positive and statistically significant. The positive reaction of the market would appear, however, to be linked more to the composition of the board of directors than to the size of the board of directors.     

A test for the too-big-to-fail hypothesis for European banks during the financial crisis

Motivated by the theoretical prediction of the opportunistic behaviour of large banks that face expected public intervention, we test a full and a partial form of the too-big-to-fail (TBTF) hypothesis. The full form of the hypothesis implies the increase in the risk undertakings and profitability of banks that exceed a certain dimension; the partial form of the hypothesis implies only an augmented risk appetite of large banks compared to their smaller counterparts. The examined area is the European banking industry, whose behaviour is observed over the first wave of the present financial crisis (2007/09). The estimation of a quadratic fit that links change in a bank’s credit risk profile and profitability retention rates with a bank’s size suggests the existence of a partial form of the TBTF hypothesis. However, a more precise, local rolling windows estimation of the size sensitivities reveals that large banks – those whose liabilities exceed approximately 2% of the country of origin’s GDP (15% of our sample) – show an increase in credit risk profile and a superior capability of retaining higher ROA scores, vis-à-vis their smaller counterparts. With the caveats of our investigation, we interpret these results as evidence of a full form of the TBTF hypothesis.     

Robotization and labour dislocation in the manufacturing sectors of OECD countries: a panel VAR approach

Robots are the most important innovation which has affected the production process in the last three decades. Thanks to the latest advances in technology, they have been able to perform an ever-increasing number of tasks, eventually replacing human work within the whole production process. However, because of the scarcity of suitable data, the extent of this potentially disrupting process is not fully assessed. This paper makes up for the lack of empirical evidence on the effect of robotization on labour dislocation using data collected by the International Federation of Robotics (IFR) on the number of robots installed in the different manufacturing industries of 16 OECD countries over the period 2011–2016. We show that at the industry level a 1% growth in the number of robots reduces the growth rate of worked hours by 0.16, as well as the selling prices and the real values of the compensations of employees. Moreover, we show that a given sector is more likely to be robotized when it is expanding both in terms of relative prices and employee compensations. We conclude that, at least in the selected countries, the introduction of robots plays a key role in slowing down human labour and compensation growth.     

Risk and Policy Shocks on the US Term Structure

We document two stylized facts of US short‐term and long‐term interest rate data seemingly incompatible with the expectations hypothesis: low contemporaneous cross‐correlation and relatively slow adjustment to long‐run relationships. We explain these features in a small structural model with three types of randomness: While a persistent monetary policy shock implies immediate identical reactions through the term structure, both a transitory policy shock and an autocorrelated risk premium allow for sustained deviations. Indeed, we find important impacts and persistence of risk premia and considerable contribution of transitory policy shocks to short rates. Results of standard expectations hypothesis tests can be rationalized.     

Non-stationary Interest Rate Differentials and the Role of Monetary Policy

Abstract

The present work deals with a frequently detected failure of the uncovered interest rate parity (UIP) – the absence of bivariate cointegration between domestic and foreign interest rates. We explain the non-stationarity of the interest differential via central bank reactions to exchange rate variations. Thereby, the exchange rate in levels introduces an additional stochastic trend into the system. Trivariate cointegration between the interest rates and the exchange rate accounts for the missing stationarity property of the interest differential. We apply the concept to the case of Turkey and Europe, where we can validate the theoretical considerations by multivariate time series techniques.     

Subjective Inheritance Expectations and Economic Outcomes

In this paper we investigate whether and to what extent inheritance expectations act as a driver of economic choices. We use survey data that are representative of the Dutch adult population with a specific module on subjective probabilities on receiving an inheritance and its amount in the next 10 years. We analyze whether the expected inheritance acts as a deterrent to saving. Results suggest that individuals perceive the expected inheritances as a potential increase of personal wealth, which leads to a reduction in savings. Expectations also appear to matter for the intentions to bequeath and for intended choices on work versus leisure in the future.     

Global networks of trade and bits

Considerable efforts have been made in recent years to produce detailed topologies of the Internet, but so far these data have been overlooked by economists. In this paper, we suggest that such information could be used to characterize both the size of the digital economy and outsourcing at country level. We analyse the topological structure of the network of trade in digital services (trade in bits) and compare it with the more traditional flow of manufactured goods across countries. To perform meaningful comparisons across networks with different characteristics, we define a stochastic benchmark for the number of connections among each country-pair, based on hypergeometric distribution. Original data are filtered so that we only focus on the strongest, i.e. statistically significant, links. We find that trade in bits displays a sparser and less hierarchical network structure, which is more similar to trade in high-skill manufactured goods than total trade. Moreover, distance plays a more prominent role in shaping the network of international trade in physical goods than trade in digital services.