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This study undertakes a comprehensive investigation into the far-reaching repercussions of Covid-19 stimulus packages and containment policies on stock returns, meticulously examining a diverse array of 14 distinct markets.

This study employed the Panel SVAR model to analyze the relationships between various policies and stock market performance during the Covid-19 outbreak. The sample comprises 5432 daily observations spanning from December 2020 to January 2022 for the 14 selected markets, with missing data excluded.

The findings reveal three consistent impacts across all 14 markets. Firstly, stock returns immediately reversed and decreased within a day when Governments tightened containment policies. Secondly, economic stimulus packages led to a fall in stock returns. Thirdly, an increasing death rate caused the stock return to decrease in the following two days. These findings are supported by the uniform impulse responses in all three shocks, including common, composite and idiosyncratic shocks. Furthermore, all inverse root tests satisfy the stability conditions, indicating the stability and reliability of Panel SVAR estimations.

One vital implication is that all government decisions and measures taken against the shock of Covid-19 must consider economic impacts to avoid unnecessary financial losses and support the effective functioning of stock markets during similar shocks. Secondly, investors should view the decline in stock returns due to Covid-19 effects as temporary, resulting from anxiety about the outbreak. The study highlights the importance of monitoring the impact of policies on financial markets and the broader economy during crises. Overall, these insights can prove helpful for investment decisions and policymaking during future crises.

This study constitutes a noteworthy addition to the literature on behavioural finance and the efficient market hypothesis, offering a meticulous analysis of the multifaceted repercussions of Covid-19 on market interactions. In particular, it unveils the magnitude, duration and intricate patterns of market volatilities linked to significant shock events, encompassing a comprehensive dataset spanning 14 distinct markets.

The authors estimate the multiplier effect of government public infrastructure investment in Spain. This paper aims to use annual data of the 17 Spanish autonomous communities for the 1980–2016 period.

The authors use dynamic acyclic graphs and the heterogeneous panel structural vector autoregressive (P-SVAR) method of Pedroni (2013). This method is robust to cross-sectional heterogeneity and dependence, which are present in the data.

The findings suggest that an increase in the level of government public infrastructure investment generates a positive and persistent effect on the level of output. Five years after the fiscal expansion, the multiplier effects of government public infrastructure investment reach values above one. This confirms that government public infrastructure investment expansions have Keynesian effects. The authors also find that the multiplier effects differ between autonomous communities with above-average and below-average GDP per capita.

To the best of the authors’ knowledge, no research uses dynamic acyclic graphs and heterogeneous P-SVAR techniques to estimate fiscal multipliers of government public investment in Spain by using subnational data.

This study aims to focus on two-way interaction between monetary policy and house prices in emerging economies.

This study uses panel structural vector autoregressive model.

The results show that real house prices decrease in response to a contractionary monetary policy shock. However, relative to advanced economies, the reaction of the prices is limited in emerging economies, pointing out the structural differences in emerging economies including the small size of the mortgage market and the lack of a well-functioning secondary market in housing finance. This study further finds that monetary policy is tightened in response to a positive shock to house prices. However, this response is also weak when compared to that response in advanced economies.

These findings suggest that house price developments should not be prior target for monetary policies in emerging economies unless they become problem for financial stability or inflationary concerns.

Using a sample of inflation targeting emerging countries, this study contributes to the literature by conducting both panel setting and single-country analysis to explore the two-way dynamic relationships between the monetary policy and housing market in emerging economies.

We test the pertinence of the unemployment invariance hypothesis (UIH) for a set of Organisation for Economic Co-operation and Development countries.

We empirically investigate the nexus between unemployment and labour force participation employing structural vector autoregressive methods for panel data.

We find that shocks in unemployment produce long-lasting, negative effects on participation, testifying to a discouraged worker effect.

Our results do not support the validity of the UIH in high-income economies. This has relevant implications for policy making and macroeconomic models.

This study aims to investigate the effects of three significant events – the 1994 CFA currency depreciation, the 2008 Global Financial Crisis (GFC), and instances of political coups – on the relationships between FDI inflow, economic growth, and governance within the Central African Economic and Monetary Community (CEMAC) countries. It seeks to evaluate how these events influence the linkages between FDI, economic growth, and governance, to aid the understanding of responses to external shocks and internal political disruptions.

The study employs a panel Vector Autoregression (VAR) analysis using data from 1990 to 2019 by exploring the dynamic relationships among FDI inflow, economic growth, and aggregate governance indicators within the CEMAC sub-region. The analysis was conducted utilizing the EViews software package, facilitating robust examination through the introduction of the Bayesian VAR to facilitate the interpretation of parameters and the data.

The results indicate that, contrary to initial hypotheses, growth and governance do not emerge as determinants for attracting FDI within the CEMAC sub-region. However, governance stands out as a crucial determining factor for economic growth. Furthermore, the study suggests that the 1994 CFA currency depreciation, the 2008 GFC, and instances of political coups did not significantly impact FDI, growth, and governance within these countries. Despite the potential vulnerability of the CEMAC countries to external shocks, the effects of these events on the dynamics of FDI, economic growth, and governance were not apparent. Notably, political instability, as evidenced by coups, emerges as a significant factor shaping the interactions between FDI, growth, and governance in CEMAC countries.

These findings have significant implications for policymakers and stakeholders in the CEMAC countries. Understanding that governance has a central role in driving economic growth places great importance of prioritizing governance reforms to foster sustainable development. Moreover, the identification of political instability as a key determinant affecting the relationships between FDI, growth, and governance emphasizes the need for political stability and effective governance structures to attract and sustain FDI inflows as well as foster economic growth.

This study contributes to the existing literature by offering insights into the linkages between FDI, economic growth, governance, and external shocks within the CEMAC sub-region. By examining the specific impacts of the 1994 CFA currency depreciation, the 2008 GFC, and political coups on these dynamics, the study provides original perspectives on the resilience of CEMAC countries to external and internal disruptions.

Introduction – Female employment and policies are an important aspect of growth and development. Inadequate utilisation of female labour force within the national economy reflects in economic and social indicators especially in developing countries. Women’s self-development, active participation in labour markets, and social and economic opportunities are the main factors in the development of countries. This study attempts to research the effects of female work force participation in the member countries of the Organisation of Islamic Cooperation (OIC) on economic growth in time period between 2004 and 2016. The countries were selected among the countries that have high and middle human development index according to Human Development Report in 2017.

Purpose – In this chapter, it is aimed to support the employment of female labour force and to show its share in development and growth in the member countries of the OIC. The aspect differs from similar studies to address the issue in term of Islamic countries.

Methodology – While analysing the impact of female employment on growth, the panel data analysis method and fixed and random effect model were used.

Findings – It has been found that female employment has a positive impact on economic growth for the selected OIC countries.

Most empirical studies on the government expenditure-economic growth nexus suggest a negative relationship between the size of the government expenditures and economic growth especially government consumption expenditures. Given these findings, the government should focus on development expenditures and reduce non-development expenditures for higher economic growth. However, the authors argue that this may not be the case, as government consumption expenditures along with better institutional quality promote growth via reduced corruption, reduction of political risks and good governance. The purpose of this study is to provide empirical evidences that both government consumption and development expenditure promote growth in the presence of better institutional quality.

This paper re-examines the impact of government expenditures on growth whilst controlling institutional factors for a sample of 30 developed and 91 developing countries from 1984 to 2017. Government expenditure is segregated into consumption and development expenditures.

The results are consistent with existing findings where government consumption expenditures have a negative effect on growth and government development expenditures contribute positively towards growth. However, when the authors conditioned government consumption expenditures with institutional variables, results suggest that in the presence of good institutions, both government consumption and development expenditures promote growth.

The findings in this paper suggest that in the presence of good institutions, government consumption expenditures will contribute positively towards growth. The results are relatively consistent for both developing and developed economies, which suggests the importance of institutional factors leading to a parallel movement towards long run growth path. In other words, long run economic growth is driven by a similar institutional environment.

Both developed and developing countries show similar reactions towards consumption and development expenditures. This indicates that despite the level of development, government expenditures do contribute positively towards growth especially in the presence of better-quality institutions.

As technical barriers gradually become the important tools of trade protection, it is important to understand whether intensified enforcement of border controls is adopted as a hidden tool of trade protectionism and differs across periods and industries.

This article applies a panel structural vector autoregression (PSVAR) model to investigate the potential role of trade protectionism motives in Food and Drug Administration (FDA) import refusals on China's agricultural exports, utilizing newly constructed monthly data at the industry level.

The results show that import refusal is mainly driven by the inspection history, highlighting the importance of the intrinsic product quality and maintaining an excellent inspection history in border inspection. The novel finding is that US employment contractions would also lead to a small increase in FDA import refusals, especially those taking place within ten months and made without sampling tests. Such an association is driven by industry-specific employment shocks and becomes stronger after the financial crisis. It is also more evident in industries where the US lacks competitiveness against China, being manufactured without mandatory safety regulations, and with negative skewness of employment growth.

This research is one of the preliminary attempts to understand whether the de facto border controls are worked as a hidden tool of protectionism to agricultural products, and what the specific trajectory and duration of the impacts at the monthly level. This study provides empirical evidence showing the role of protectionism motives in FDA import refusals and is heterogeneous across industries, which generate new insights and policy implications to predict and cope with additional barriers on agricultural trade.

The purpose of this paper is to estimate the impacts of women's education on the mean age of women at first birth (denoting the timing of fertility) and total fertility rate (TFR, denoting the level of fertility) using cross-country panel data.

The estimations proceed in two steps: first, the timing and level of fertility regressions are separately estimated, and second, two regressions are estimated at the same time as a form of a system equation to accommodate the correlations between error terms.

It is found that a higher women's education tends to delay of child birth or family formation. In addition, there exists a negative relationship between the female secondary school enrollment ratio and TFR, meaning that the opportunity costs of childbearing and rearing increases when the level of women's education enhances. However, the authors have also found that the impacts of women's higher education on TFR is statistically insignificant in a few cases of estimations without sample selections.

Fertility decline is a shift of childbearing to older ages. The delay of child birth or family formation is the major cause of the recent fertility decline, because a late women's age at first birth reduces the chances of having any further children. This implies that the timing and level of fertility are highly correlated to each other. In particular, many studies showed that women's education and employment have been identified as major parameters for the increase in women's age at first birth. Nonetheless, little attention has been paid to an empirical analysis of the relationship between women's education and the timing of fertility. Therefore, this paper is an extension of previous studies, estimating the relationship between women's education and the timing and level of fertility at the same time.

This paper aims to examine the asymmetric impact of the oil price increase and decrease on stock returns at the firm level.

To ascertain the impact oil price can exert on the stock price at the firm level, this study uses panel structural vector auto regression with various linear and nonlinear measures of oil price shock on a data set, containing 1,168 firms listed in Indian stock markets. This study also considers stock index returns, Fama-French factors and inflation as control variables.

This paper finds evidence that at firm level, net oil price increase and decrease have an asymmetric impact on stock returns. Other oil price shock measures, namely, shock because of oil price increase and decrease, do not show any sign of asymmetric impact on stock returns.

The comparison of firm-level return on its response towards oil price fluctuation can give valuable insights into a firm’s features.