CAUSAL INFERENCE ON EDUCATION POLICIES: A SURVEY OF EMPIRICAL STUDIES USING PISA,TIMSS AND PIRLS

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasi‐experimental techniques applied to three well‐known international large‐scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004–2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.     

Migration Flows and Intra-Industry Trade Adjustments

In this paper we analyse the link between trade and migration. Focusing on the experience of Spain, we relate a marginal index of intra-industry trade to the stock of foreign workers—classified according to their country of origin and their situation in the Spanish labour market. We focus on the possibility that existing networks of foreign workers and their connections with their countries of origin could stimulate trade with the host country. Our results show a significant impact of the number of immigrants with work permits on intra-industry trade adjustment. However, this impact being positive or negative depends on whether foreign workers are employees or self-employed, the duration of the work permits and the type of job they occupy. JEL no. F10, F14, F15, F22     

University Students’ Attitudes Towards Entrepreneurship: A Two Countries Comparison

There is general agreement that attitudes towards the entrepreneur, entrepreneurial activity, and its social function are determinant factors for university students to decide an entrepreneurial career.This empirical study aims at assessing and comparing the attitudes of university students towards entrepreneurship and enterprise formation in Catalonia and Puerto Rico, using a sample of 837 and 435 students, respectively.Results reveal a positive entrepreneur’s image. Both samples have a favorable perception of desirability of new venture creation, although the perception of feasibility is by far not so positive and only a small percentage has the firm intention to create a new company.     

Measuring the Implementation of Codes of Conduct. An Assessment Method Based on a Process Approach of the Responsible Organisation

More and more organisations formulate a code of conduct in order to stimulate responsible behaviour among their members. Much time and energy is usually spent fixing the content of the code but many organisations get stuck in the challenge of implementing and maintaining the code. The code then turns into nothing else than the notorious "paper in the drawer", without achieving its aims. The challenge of implementation is to utilize the dynamics which have emerged from the formulation of the code. This will support a continuous process of reflection on the central values and standards contained in the code. This paper presents an assessment method, based on the EFQM model, which intends to support this implementation process.     

Job and worker flows in high adjustment cost settings

This paper analyses the relationship between the size of adjustment costs and the intensity of labor market flows. I argue that high adjustment costs inhibit adjustment to temporary shocks, leaving adjustment to long-lived shocks unchanged. Worker turnover is also reduced because of the negative impact that adjustment costs have on churning.Received: January 2002, Accepted: November 2002, JEL Classification: J23, J63I am grateful to the FCT for funding this research (research grant Praxis/PCSH/C/CEG/13/96), and to Pedro Portugal, Daniel Hamermesh and two anonymous referees for helpful comments on earlier versions of this paper. I thank the Department of Statistics at the Ministry of Labor for providing the data. CETE is supported by the FCT.     

Trauma epidemiology in Puerto Rico: in-hospital morbidity and mortality from 2002 to 2011

This study aimed to describe the distribution of injury mechanisms and to assess the impact of those mechanisms on the morbidity and mortality of trauma. All patients admitted to Puerto Rico Trauma Hospital (2002–2011) for road-traffic collisions (RTCs, 5,371), gunshot wounds (GSWs, 2,946), falls (2,319), pedestrian accidents (1,652), and stab wounds (SWs, 1,073) were selected. Gunshot victims were 1.19 (95%CI: 1.07–1.33) times as likely as road-traffic victims to have an ISS ≥25. Pedestrians were 1.76 (95%CI: 1.49–2.09) times more likely to have a GCS ≤8 than road-traffic victims were. The risk of dying was 2.64 (95%CI: 2.20–3.16) times higher for gunshot victims and 1.51 (95%CI: 1.23–1.86) times higher for pedestrians compared to patients who had had RTCs. Gunshot victims and pedestrians had the worst clinical outcomes. Accordingly, these patients should receive the most aggressive clinical management. Furthermore, it is imperative to develop public health campaigns on trauma prevention.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

Three decades of productivity change in French beef production: a Färe‐Primont index decomposition

The Färe‐Primont index is used to evaluate total factor productivity (TFP) change and its components for a sample of French suckler cow farms in grassland areas in 1985–2014. The results reveal an increase in TFP of 6.6 per cent over the whole observation period, with technological progress being the major source of productivity growth. Meanwhile, efficiency decreased. Farms experienced great technological progress from 1991 to 2000. From a methodological point of view, the comparison with results obtained with Malmquist indexes shows similar trends but different magnitudes, with the Malmquist index overestimating the TFP and technological changes compared to the Färe‐Primont index. In addition, the use of a sequential approach that restricts technological change to being positive or null allows for the precise calculation of technology changes, disregarding the effects of external conditions that are captured in efficiency changes. Finally, the estimation of full dimensional efficient facets (FDEFs) that guarantees the positivity of all shadow prices used to assess the mix efficiency component of TFP change is promising.     

Hook vs. hope: How to enhance customer engagement through gamification

Many digital service providers have adopted gamification to promote customer engagement. Critical questions, however, remain about the most effective way to enhance customer engagement and increase sales by applying gamification. With a research design that combines qualitative and quantitative methods, including the use of objective sales data from a large field study and replication of the findings across different contexts, this study explores how gamification fosters customer engagement. Both field study results and a simulation study reveal gamification principles (i.e., social interaction, sense of control, goals, progress tracking, rewards, and prompts) that promote hope and consequently increase customer engagement and digital sales. Furthermore, we find that hope is more strongly associated with customer engagement than the psychological condition of compulsion, which even exerts a negative impact. This research thus explores how gamification creates value for customers and provides actionable insights for managers to foster hope through gamification as opposed to get customers hooked.     

Value-in-context in crowdfunding ecosystems: how context frames value co-creation

The aim of this paper is to analyse the phenomenon of crowdfunding and determine whether it can be considered a service ecosystem, where the context frames innovation through value co-creation. A qualitative, multiple case study approach is used to analyse three platforms and six initiatives in the Spanish arts sector. The findings reveal that crowdfunding can be considered an ecosystem where value-in-context frames seven types of value co-creation, offering a contribution both to ecosystem theory and to the field of co-creation.