نتایج جستجو برای: fix effects by panel data

تعداد نتایج: 8794457  

2006
Ming-Chang Tsai Christian Bjørnskov Axel Dreher Andrew Sharpe

The prevailing theorizing of globalization’s influence of human well-being suggests to assess both the favorable and unfavorable outcomes. This study formulates a dialectical model, adopts a comprehensive globalization measure and uses a three-wave panel data during 1980-2000 to empirically test direct and indirect effects of global flows’ human consequences. The outcomes from random effect mod...

1999
J. C. H. Jones J. A. Schofield

This paper reports the results of estimating a single equation model of an attendance function for British Rugby League over the seasons 1982/83 to 1990/91. The data are panel data covering virtually every team which played in the two division league over the nine year time period. Diagnostic tests indicate that the appropriate model is a semi-log random effects model, where the dependent varia...

2012
Aparajita Dasgupta

The study examines the role of the largest public works program in the world-the National Rural Employment Guarantee Scheme (NREGS) in buffering the negative effects of early childhood exposure to rainfall shocks on long-term health outcomes. Exploiting the spatial and temporal variation in NREGS coverage, the study estimates the extent to which nutritional insults in early childhood can be off...

2015
Pamela Lenton

The UK National Student Survey (NSS) represents a major resource, never previously used in the economics literature, for understanding how the market signal of quality in higher education works. In this study, we examine the determinants of the NSS overall student satisfaction score across eleven subject areas for 121 UK universities between 2007 and 2010. Using a unique panel data set and esti...

2005
Ulrich Morawetz Ulrich B. Morawetz

To understand the potentials of bayesian panel data analysis, simulated data are used to estimate a random effects model. Prior Gaussian distributions of various precision are used to understand the influence of the prior information on continuous, discrete, time varying and time constant variables. It is demonstrated that parameters of dummy variables are far more sensitive to priors than para...

2006
James X. Sullivan Lesley Turner Sheldon Danziger

This paper examines the relationship between income and the extent of material hardship and explores other factors that might affect hardship. Using panel data from the Women’s Employment Study (WES), we examine the incidence of material hardship from 1997 to 2003 among current and former welfare recipients. We then consider the extent to which alternative income measures are associated with th...

2007
José Alberto Molina María Navarro Ian Walker

Mums and Their Sons, Dads and Their Daughters: Panel Data Evidence of Interdependent Marginal Utilities across 14 EU Countries We study how fathers and mothers income satisfaction correlates with the income satisfaction of their sons and daughters, as well as with other economic and sociodemographic variables. We estimate these correlations using data on parents and children in households surve...

2012
Elke Holst

The paper analyzes the gender pay gap in private-sector management positions based on German panel data and using fixed-effects models. It deals with the effect of occupational sex segregation on wages, and the extent to which wage penalties for managers in predominantly female occupations are moderated by firm size. Drawing on economic and organizational approaches and the devaluation of women...

2018
S. D. Smith Martin Forster Silvio Daidone Nick Draper Giacomo De Luca Barry Higman Tony Hill Levent Kutlu Stephen Martin Andrew Pickering Frank Pitman

This study estimates agency’s impact on sugar plantation productivity using a unique early 19th century panel data set from St. Vincent and the Grenadines. Results of fixed effects models, combined with a qualitative and quantitative analysis of potential endogeneity of the agency variable, provide no evidence that estates managed by agents were less productive than those managed by their owner...

2002
Usha Jayachandran

This paper investigates the socio-economic determinants of school attendance in India, and the possible causes of disadvantage faced by the girl child. Based on Census data for 1981 and 1991, the determinants of inter-district variations in school attendance are explored, separately for boys and girls. A similar analysis is applied to the gender bias in school attendance. The results indicate t...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->