Search results

This paper studies the dynamics and elasticities of house prices in Spain and Portugal (Iberia) at the Metropolitan Statistical Area (MSA) level, addressing panel regression problems such as heterogeneity and cross-sectional dependence between MSA.

The authors develop a two steps study. First, five distinct estimation methodologies are applied to estimate the long-term house price equilibrium of the Iberian MSA house market: Mean Group (MG), Fully Modified Ordinary Least Square (FMOLS) MG (FMOLS-MG), FMOLS Augmented MG (FMOLS-AMG), Common Correlated Effects MG (CCEMG) and Dynamic CCEMG (DCCEMG). FMOLS-AMG is found to be the best estimator for the long-term model. Second, an additional five distinct estimation methodologies are applied to estimate the short-term house price dynamics using the long-term FMOLS-AMG estimated price in the error-correction term of the short-term dynamic house price model: OLS Fixed Effects (FE), OLS Random Effects (RE), MG, CCEMG and DCCEMG. DCCEMG is found to be the best estimator for the short-term model.

The results show that in the long run Iberian house prices are inelastic to aggregate income (0.227). This is a much lower elasticity than what was previously found in US MSA house price studies, suggesting that there are other factors explaining Iberian house prices. According to our study, coastal MSA presents an inelastic housing supply and a price to income elasticity close to one, whereas inland MSA are shown to have an elastic supply and a non-significant price to income elasticity. Spatial differences are important and cross-section dependence is prevalent, affecting estimates in conventional methodologies that do not account for these limitations, such as OLS-FE and OLS-RE. Momentum and mean reversion are the main determinants of short-term dynamics.

Recent econometric advances that account for slope heterogeneity and cross-section dependence produce more accurate estimates than conventional panel estimation methodologies. The results suggest that house markets should be analyzed at the metropolitan level, not at the national level and that there are significant differences between short-term and long-term house price determinants.

To the best of the authors' knowledge, this is the first study applying recent econometric advances to the Iberian MSA house market.

This paper explores the real estate price determinants at four geographical levels: in the European Union as a whole, in the 28 European Union countries, in one European Union country (Portugal) and in 25 Portuguese metropolitan statistical areas (MSAs).

The authors run two time series regression models and two panel data regression models with observations of potential real estate price determinants and House Price Indices collected from Eurostat.

The results show that price determinants, such as gross domestic product (GDP), interest rates, housing starts and tourism, are statistically significant, but not in all the four geographical levels of analysis. The results also confirm the autoregressive characteristic of real estate prices, with the last period price change being the most important determinant of current period real estate price change.

Forecasting real estate prices can be made more effective by knowing that each geographical level of analysis implies different price determinants and that momentum is an important determinant in real estate returns.

To the best of the authors knowledge, this is the first study to develop and test a real estate price equilibrium model at several different geographical levels of the same political space.

This paper aims to discuss the work of non-executive directors (NEDs) as inherently paradoxical. Paradox refers to the presence of persistent contradictions between interdependent forces. Those persistent tensions are explored, and approaches are indicated to stimulate the adaptive use of paradoxes as forces of innovation and renewal.

This conceptual approach can be read as an invitation for corporate governance scholars to embrace the logic of paradox to expand the understanding of this topic. Paradox is not conceptualized as an alternative to dominant structural views, including board composition, but as a complementary conceptual perspective, a meta-theoretical lens to shed light on the tensions inherent to governance.

The authors propose that paradox theory offers a fresh conceptual lens to study the role of NEDs. This approach may help NEDs to turn tensions and paradoxes visible to develop a rich understanding of their work, as well as helping them navigate the complexities of organizing, a process rich in inherent paradoxicality.

Organizational paradox theory is a bourgeoning field of study, but the conceptual lens of paradox has still been underexplored in the study of corporate governance.

The purpose of this paper is to explore how a number of processes joined to create the microlevel strategies and procedures that resulted in the most lethal and tragic forest fire in Portugal's history, recalled as the EN236-1 road tragedy in the fire of Pedrógão Grande.

Using an inductive theory development approach, the authors consider how the urgency and scale of perceived danger coupled with failures of system-wide communication led fire teams to improvise repeatedly.

The paper shows how structure collapse led teams to use only local information prompting acts of improvisational myopia, in the particular shape of corrosive myopia, and how a form of incidental improvisation led to catastrophic results.

The research offers insights into the dangers of improvisation arising from corrosive myopia, identifying ways to minimize them with the development of improvisation practices that allow for the creation of new patterns of action. The implications for managing surprise through improvisation extend to risk contexts beyond wildfires.

The paper stands out for showing the impact of improvisational myopia, especially in its corrosive form, which stands in stark contrast to the central role of attention to the local context highlighted in previous research on improvisation. At the same time, by exploring the effects of incidental improvisation, it also departs from the agentic conception of improvisation widely discussed in the improvisation literature.

We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.

This study aims to explore patterns of Emergency Medical Services (EMS) personnel's mental health, regarding their levels of anxiety, depression, stress, COVID-19 anxiety, obsessive-compulsive symptoms and well-being; and to explore variables that contribute to these patterns, among sociodemographic/professional and COVID-19 experience variables.

Participants were 214 EMS personnel, who answered the Patient-Health Questionnaire, Perceived Stress Scale, COVID-19 Anxiety Scale, Obsessive-Compulsive Inventory, Well-Being Questionnaire and COVID-19 related questions.

EMS personnel showed an adequate psychological adjustment during COVID-19. Two clusters/patterns were found: the poorly (34%) and the well (66%) psychologically-adjusted. Personnel's age, COVID-19 fear and workplace security measures' adequacy contributed to which pattern they were more likely to belong to.

Despite being cross-sectional and not controlling for pre-COVID-19 data, this study adds to the COVID-19 literature. Findings call for the need to explore: other COVID-19 fears; how personnel perceive workplace security measures; COVID-19 valid instruments; pre-COVID-19 data; and mental health patterns with different rescuers.

Findings explored EMS personnel's patterns of mental health during the COVID-19, as well as its covariates. Results allow to better prepare emergency management, which can develop prevention strategies focused on older professionals, COVID-19 related fears and how personnel assess security measures.

This study contributes to the scarce literature focused on COVID-19 mental health patterns instead of focussing on isolated mental health variables, as well as what contributes to these patterns. Moreover, it is one of the few studies that focused on EMS personnel rather than hospital staff.

This study aims to study the sensitivity of nonlisted real estate investment companies’ accounting earnings to house prices. This study evaluates whether house price changes determined these companies’ return on equity (ROE) or if other factors influenced the industry’s profitability beyond house price growth.

The authors collected a ten-year sample with the aggregate ROE of Portugal’s real estate investment companies, split by regions, and data on house prices and the per capita gross domestic product as a control variable. The authors ran a national-level time series with the canonical cointegrating regression estimator, which is robust to a small sample size; the authors also performed a regression on regional-level panel data with the common correlated effects mean group estimator, thus allowing slope coefficient heterogeneity and controlling for cross-sectional dependence. The authors also ran ordinary least squares regressions as a means of comparison.

This study found that an increase in the house price is not translated into an increase in the aggregate ROE. The results are robust with a reduced survivorship-biased sample, meaning that even the best-succeeded real estate investment companies do not have their accounting ROE dependent on house price growth.

The sample size is small and specific to one country. This paper did not study the housing market structure to verify whether it operates under monopolistic competition, which could further explain the attained results.

Policy decision-makers should know that there are no excess profits in the real estate investment companies’ industry because of house price growth that could be subject to windfall taxes.

To the best of the authors’ knowledge, the connections between house prices and real estate investment companies’ accounting earnings have never been studied.

This study uses structural equation modeling to test a model of the impact of human resources management practices on perceived organizational performance, on a large sample of European companies. The influences of competitive intensity, industry attractiveness, and strategic management are considered in the model, and their direct and indirect influence on organizational performance is assessed. The model produced an adequate fit, and results show that strategic management does influence human resource practices. Human resource flexibility practices and performance management have a positive impact on organizational performance, while training was not found to have a significant impact. A direct positive impact of competitive intensity and industry attractiveness on strategic management was supported by the data, as well as a direct positive effect of industry attractiveness on perceived organizational performance.

Human resource (HR) process research emerged as a response to questions about how (bundles of) HR practices related to organizational outcomes. The goal of HR process research is to explain variability in employee and organization outcomes by focusing on how HR practices are intended (adopted) by senior managers, the way that these HR practices are implemented and communicated by line managers, and how employees perceive, understand, and attribute these HR practices. In the first part of this chapter, we present a review of 20 years of HR process research from the start, to how it developed, and is now maturing. Within the body of HR process research, several different research theoretical streams have emerged, which are largely studied in isolation without benefiting from each other. Therefore, in the second part of this chapter, we draw on previous work to propose a staged process model in which we integrate the different research streams of HR process research, recognizing contingencies in the model. This leads us to an agenda for future research and practical implications in the final part of the chapter.

This paper aims to analyze the heuristics and cognitive biases described by behavioral finance in the investment decision-making process of Portugal’s housing market.

In a first step, the authors applied an exploratory factor analysis (EFA) to assess the impact of heuristics and cognitive biases on investors’ decision-making. In a second step, the authors run a structural equation model (SEM) diagram path to assess if the sociodemographic characteristics of housing market investors determine the identified heuristics and if the heuristics condition the investors’ investment criteria.

Herd behavior and the heuristics of representativeness, availability and anchoring influence the housing market’s investors’ behavior in their decision-making process. Investors with above-average income show higher levels of overconfidence. Investors showing higher levels of overconfidence also tend to be more sensitive to the house price under analysis for investment. Women tend to show higher levels of the availability and anchoring heuristic. In turn, housing market investors showing higher levels of availability and anchoring heuristic tend to be more sensitive to the price and location of the house under analysis for investment.

The explained variance of the EFA is below 50%, and the root mean square of approximation of the SEM is above the threshold of 0.05. These indicators are evidence of the models’ fragility.

Governments and regulators can better prevent real estate bubbles if they monitor behavioral biases and heuristics of housing investors together with quantitative indicators. Realtors can profit from adapting their marketing strategy and commercial communication to investors of sociodemographic groups more prone to a specific type of heuristics.

To the best of the authors’ knowledge, this is the first study that combines the contributions of behavioral finance with Portugal’s housing investment market and the first study connecting heuristics to investment criteria.