scholarly journals Causal Modelling in Fertility Research: A Review of the Literature and an Application to a Parental Leave Policy Reform

2021 ◽  
Vol 46 ◽  
Author(s):  
Michaela Kreyenfeld
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Parental Leave ◽  
Policy Reform ◽  
Empirical Studies ◽  
Female Employment ◽  
Family Policies ◽  
Policy Effects ◽  
Causal Modelling ◽  
The Impact

This paper reviews empirical studies that have examined the causal determinants of fertility behaviour. In particular, we compare the approaches adopted in the different disciplines to improve our understanding of how birth dynamics are influenced by changes in female employment and changes in family policies. The wide array of panel data that have become available in recent years provide great potential for advanced causal modelling in this field. Event history modelling has been a dominant approach in sociology and demography. However, researchers are increasingly turning to other methods to unravel causal effects, such as fixed-effects modelling, the regression discontinuity approach, and statistical matching. We summarise selected studies, and discuss the advantages and the shortcomings of the different approaches. In an empirical section, we analyse the impact of the German 2007 policy reform on birth behaviour to illustrate the difficulties involved in isolating policy effects. The final chapter concludes by underscoring that even simple modelling strategies may be beneficial for improving our understanding of how policy effects shape demographic behaviour, and for laying the groundwork for more fine-grained causal investigations. * This article belongs to a special issue on “Identification of causal mechanisms in demographic research: The contribution of panel data”.

Dampak Kebijakan Moneter Pada Output Di Negara-Negara ASEAN Tahun 1980-2014

2017 ◽  
Vol 4 (1) ◽  
pp. 58-70
Author(s):  
Nur Widiastuti
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Negative Relationship ◽  
Least Square ◽  
Fixed Effects Model ◽  
State Data ◽  
Ordinary Least Square ◽  
The Impact

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

The Impact of Women’s Employment on Marital Stability in Qatar Society

2019 ◽  
Vol 10 (2) ◽  
pp. 144-151
Author(s):  
Noora Ahmed Lari ◽  
Keyword(s):  
Work Motivation ◽  
Marital Stability ◽  
Female Employment ◽  
Social Constraints ◽  
Primary Data ◽  
Family Policies ◽  
Insufficient Time ◽  
And Performance ◽  
The Impact ◽  
The Relationship

The State of Qatar has implemented several family policies in order to improve the wellbeing of Qatari families and ensure fair distribution of development benefits for both men and women. However, there is a linkage between female employment outside the home and instability in the marriages of Qatari families. This paper investigates the impact of female employment on marital stability, based on the results of primary data collected in Qatar, a questionnaire that consisted of several sections such as challenges in the workplace, supervisor, family and spouse relations, work motivation and performance. Of the 824 questionnaires that were returned, 807 were completed and valid for analysis. Regression analysis and an ANOVA test have been used to test the relationship between the variables. The results of the research have produced mixed findings about how wives’ employment increases marital instability and have yielded few significant differences on mean scores of discuss on work demands, insufficient time together, housework, financial matters, communication, relatives and rearing children. The results indicates that in general Qatar working women face several challenges in relation to their marital life as part of cultural and social constraints.

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

scholarly journals Maternal Mortality in Ghana: Impact of the Fee-Free Delivery Policy and the National Health Insurance Scheme

2015 ◽  
Vol 4 (3) ◽  
pp. 232
Author(s):  
Seidu Sofo ◽  
Emmanuel Thompson
Keyword(s):  
Health Insurance ◽  
Panel Data ◽  
Maternal Mortality ◽  
National Health Insurance ◽  
National Health ◽  
Data Model ◽  
Fixed Effects ◽  
Panel Data Model ◽  
Skilled Delivery ◽  
The Impact

<p>Maternal mortality (MMR) is the second largest cause of female deaths in Ghana. Yet, many households cannot afford the cost of skilled delivery The study utilized the Panel Data Model to examine the impact of the fee-free delivery (FDP) and the National Health Insurance Policy (NIP) exemptions on MMR in Ghana. The Demographic and Health Survey reports on Ghana from 2002 to 2009 served as the main data source. Data were analyzed using Panel data model with within group fixed effects estimator. MMR declined significantly over the period studied. Both FDP and NIP positively impacted MMR at a 5% level of significance. In addition, skilled delivery was a significant predictor of MMR. Stakeholders would do well to ensure NIP is adequately funded in order to sustain the decline in MMR.</p><p> </p><p><strong><br /></strong></p>

Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data

2009 ◽  
Vol 15 (3) ◽  
pp. 501-511 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Bing-Wen Huang ◽  
Chi-Chung Chen ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
Pandemic Influenza ◽  
Fixed Effects ◽  
Data Models ◽  
International Tourism ◽  
Panel Data Models ◽  
Tourism Demand ◽  
Avian Flu ◽  
Potential Risks ◽  
The Impact

This paper investigates the impacts of avian flu on global and Asian tourism using panel data procedures. Both static and dynamic fixed effects panel data models are adopted to estimate the impacts of this infectious disease. The empirical results from static and dynamic fixed effects panel data models are consistent and indicate that the number of affected poultry outbreaks has significant impacts on the international tourism of global and Asian affected countries. The high mortality rate among humans, the potential of a global flu pandemic and some media frenzy with hype and speculation might adversely affect the images of these infected destinations as a safe tourist destination. Moreover, it was found that the average damage to Asian tourism was more serious, which might have been induced by an ineffective suppression in numerous Asian infected countries. In addition, Asia was the earliest affected region and the area infected most seriously by avian flu, both in humans and in poultry. Since the potential risks and damage arising from avian flu and the subsequent pandemic influenza are much greater than for previous diseases, the need to take necessary precautions in the event of an outbreak of avian flu and pandemic influenza warrants further attention and action in modelling and managing international tourism demand and risk.

Overcoming women’s isolation at work: The effect of organizational structure and practices on female managers’ workplace relationships

2021 ◽  
pp. 026858092110512
Author(s):  
Hwajin Shin ◽  
Soohan Kim
Keyword(s):  
Organizational Structure ◽  
Fixed Effects ◽  
Parental Leave ◽  
Work Life ◽  
Positive Relationships ◽  
Corporate Structure ◽  
Gender Preferences ◽  
Female Managers ◽  
Diversity Programs ◽  
The Impact

Successful career outcomes depend on maintaining positive relationships with and evaluations from supervisors and peers. Recognizing that structure frames behaviors and perceptions, this study explores the impact of organizational structure and practices on the relationships of 598 women in 298 Korean companies using longitudinal data from 2010 to 2016. The results from fixed-effects models show that corporate structure and practices shape female managers’ relationships with supervisors and peers. Gender equality practices improve relationships with both men and women. By contrast, diversity programs have negative effects on female managers’ relationships with female supervisors and peers, and work–life programs show mixed results. However, in firms with female executives and firms that encourage men to use parental leave, diversity programs and work–life practices stimulate positive relationships with both male and female supervisors and peers. This study suggests that organizational contexts, rather than intrinsic gender preferences, shape women’s relationships in the workplace.

Impact of Information and Communication Readiness on the Tourism Industry

2021 ◽  
pp. 186-201
Author(s):  
Woon Leong Lin ◽  
Bee Lian Song
Keyword(s):  
Fixed Effects ◽  
Panel Data Analysis ◽  
Tourism Industry ◽  
Policy Effects ◽  
Travel And Tourism ◽  
Economic Progress ◽  
The World ◽  
Information And Communication ◽  
World Economic ◽  
The Impact

This study examines the impact of ICT readiness on the tourism industry and how it leads to growing competitiveness by deploying three-panel data analysis techniques (pooled OLS, fixed effects, dynamic GMM) with 177 nations for the period 2011 to 2019. ICT readiness is gauged using the World Economic Forum's Travel and Tourism Competitiveness Index, whereas tourism's contribution towards economic progress is gauged by overall international traveler arrival. The observations indicate that ICT readiness causes a statistically significant effect on tourism's role in economic progress. Tourism policy effects and guidelines for future works are discussed as well.

Globalization and health: An empirical investigation

2019 ◽  
Vol 19 (3) ◽  
pp. 207-224 ◽  
Author(s):  
Vishalkumar J Jani ◽  
Nisarg A Joshi ◽  
Dhyani J Mehta
Keyword(s):  
Health Status ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Health Indicators ◽  
Developed Countries ◽  
Social Dimension ◽  
Three Dimensions ◽  
Infant Mortality Rate ◽  
The Impact

This article empirically examines the impact of globalization on the health status of countries by using panel data. Unlike previous studies, it has attempted to use three different dimensions of globalization and estimate their impact on health status measured by infant mortality rate and life expectancy. It also introduces an initial level of development status as an explanatory variable and found that it has an important role. The fixed effects panel data analysis shows that globalization has a positive impact on the health indicators. Out of the three dimensions of globalization, namely, economic, social and political, the first one has the highest influence on health for the less developed countries. However, as one moves up the ladder of development, social dimension becomes more important. Moreover, the pace of improvement in health indicators is faster in developed countries, indicating a divergence between the developed and the underdeveloped world.

Impact of the Presence of Embassies on Trade: Evidence from Turkey

2019 ◽  
Vol 19 (1) ◽  
pp. 51-60
Author(s):  
Yusuf Kenan Bagir
Keyword(s):  
Panel Data ◽  
Bilateral Trade ◽  
Panel Data Analysis ◽  
Empirical Studies ◽  
Volume Effect ◽  
Foreign Missions ◽  
Cross Sectional ◽  
Exporting Firms ◽  
Main Driver ◽  
The Impact

AbstractThis paper analyzes the impact of the presence of foreign missions on trade using Turkey's unique expansion in its foreign embassy network (39 new embassies in 8 years) as the source of variation in a panel data setting. A majority of the existing empirical studies use cross-sectional bilateral trade data due to lack of variation over time (Rose, 2007; Moons and Bergeijk, 2013). Employing a panel data analysis, this paper is able to address the endogeneity issues that are associated with a standard cross-sectional analysis. The dependent variable in the paper is the trade between Turkey and 190 countries for 2006 to 2016. The results indicate that presence of an embassy increases export value by 30% and this increase comes mainly from the volume effect. Categorizing goods by the Rauch (1999) classification shows that the increase in differentiated goods exports is the main driver of the export surge. The number of exporting firms increases by about 8%. There is no statistically significant impact on the exports of homogeneous goods. Replication of the analysis for imports suggests no impact on imports.

scholarly journals FORECASTING MONEY DEMAND WITH THE INCLUSION OF FINANCIAL INNOVATION FOR THE ASSOCIATION OF SOUTHEAST ASIAN NATIONS: EVIDENCE FROM PANEL DATA ANALYSIS

2019 ◽  
Vol 1 (1) ◽  
pp. 59-74
Author(s):  
Payam Mohammad Aliha ◽  
Tamat Sarmidi ◽  
Fathin Faizah Said
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Random Effects ◽  
Money Demand ◽  
Fixed Effects ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Demand For Money ◽  
Financial Innovations ◽  
The Impact

This paper investigates the impact of financial innovations on the demand for money using a dynamic panel data for 10 ASEAN member states from 2004 to 2012 and attempt to forecast the demand for money during 2013 – 2016 to compare between forecasting performance of the fixed effects model with that of random effects model and also to compare the forecasting accuracy of dynamic forecasting and static forecasting obtained from these two models. An autoregressive model by definition is when a value from a time series is regressed on previous values from that same time series. There are two types of forecasting namely dynamic forecast and static forecast. “Dynamic forecast will take previously forecasted values while static forecast will take actual values to make next step forecast. Panel effects models assist in controlling for unobserved heterogeneity when this heterogeneity is constant over time and correlated (fixed effects) or uncorrelated (random effects) with independent variables. Hausman test indicates that the random-effects model is appropriate. We use the conventional money demand that is enriched with the number of automated teller machines (ATM) to proxy for the effect of financial innovations on money demand. By comparing the magnitude of “Root Mean Squared Error” (RMSE) as a benchmark for the two forecasts (0.1164 for dynamic forecast versus 0.0635 for static forecast) we simply find out that static forecast is superior to dynamic forecast meaning that static forecast provides more accurate forecast compared to a dynamic forecast for the fixed-effects model. Therefore, we conclude the static forecast on the basis of the random-effects model provides the most accurate forecasting. The estimation result of the chosen random-effects regression also indicates the estimated coefficient of ATM is not significant meaning that ATM does not impact money demand in ASEAN countries.

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