Avoiding gender bias in agricultural surveys: An official statistics guide for data collection and dissemination

2016 ◽  
Vol 32 (3) ◽  
pp. 371-373
Author(s):  
H. Öztaş Ayhan
Web Services ◽  
2019 ◽  
pp. 728-744 ◽  
Author(s):  
Antonino Virgillito ◽  
Federico Polidoro

Following the advent of Big Data, statistical offices have been largely exploring the use of Internet as data source for modernizing their data collection process. Particularly, prices are collected online in several statistical institutes through a technique known as web scraping. The objective of the chapter is to discuss the challenges of web scraping for setting up a continuous data collection process, exploring and classifying the more widespread techniques and presenting how they are used in practical cases. The main technical notions behind web scraping are presented and explained in order to give also to readers with no background in IT the sufficient elements to fully comprehend scraping techniques, promoting the building of mixed skills that is at the core of the spirit of modern data science. Challenges for official statistics deriving from the use of web scraping are briefly sketched. Finally, research ideas for overcoming the limitations of current techniques are presented and discussed.


2016 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Fitrah Herlinda

This paper aims to describe the view of NinikMamak about gender relations in the island village of Jambu sub district Kuok. Forms of this research is descriptive qualitative and data collection methods is indepth interviews. The results showed that the views of NinikMamak against women who play a role in the public sphere is not contrary to the customs and culture because there is no fixed rule in tradition about what work is done and is not appropriate for women and men. However, women can not be leaving responsibilities as wives and mothers even though women are the backbone of the family. In general shift among the view of NinikMamak is encouraging, but in substantive, views NinikMamak still experienced gender bias. It is suggested to governments and organizations engaged in gender to further improve socialization or education on gender equality among Ninik Mamak that their understanding of the problems of women do not experienced gender bias.


2020 ◽  
Vol 13 (1) ◽  
pp. 219
Author(s):  
Yayah Yayah Nurhidayah ◽  
Eti Nurhayati

<p>For decades, there has been a biased pattern of communication between genders in society, including among the Al-Ishlah <em>santri</em><em>s</em> (students) in <em>pesantren </em>(Islamic boarding school) in Cirebon - West Java, subject studied by the writers. The communication of male and female <em>santri</em><em>s</em> has unique ways. From the beginning, <em>pesantren</em> offers the different treatment to male and female <em>santri</em><em>s</em>, both in rules, ethics, sanctions, communication, and relationships in general. In addition, the teaching of classic <em>kitabs </em>(books/holy books) still contains a lot of gender biases. This study aims to identify several gender biases and stereotypes in various forms of communication between male and female <em>santris</em> in <em>pesantren</em>. This research used descriptive qualitative methods, data collection techniques using interviews and observations to <em>santris</em>, and data analysis techniques carried out qualitatively in the form of narrative descriptions. The results of the study show there are many gender biases and stereotypes in various forms of communication, such as: communication style, conversation initiatives, intensity of conducting conversation, intensity of interruption, dominance in conversation, intensity of making humor, eye contact, spatial distance, body language, smile, and touch.</p><p><strong>Keywords:</strong> communication, gender bias, <em>pesantren</em><strong> </strong></p>


1998 ◽  
Vol 1625 (1) ◽  
pp. 147-155 ◽  
Author(s):  
Nigel Rockliffe ◽  
Marcus Wigan ◽  
Howard Quinlan

Data on freight vehicle and commodity flows in Australia are poorly covered by official statistics, yet for many strategic purposes the analyst requires a nationwide picture of commodity flows. FreightInfo satisfies this requirement. FreightInfo is a database based on a combination of assembly techniques: the expert development of secondary data from existing national data collections, the systematic identification of major flow sources and sinks, and a rolling program of field data collection from freight consignors, consignees, and carriers. These are integrated into a coherent and consistent database covering the whole of Australia by all modes. A description of FreightInfo is presented, its creation is described, and some aggregate results relating to Australia are presented.


Author(s):  
Sholikah Mi'rotin ◽  
Mufidah Cholil

Gender analysis is not only to determine the equality of public roles between men and women in conversational texts, reading texts in textbooks, but gender analysis can also be carried out on questions used by teachers to evaluate students. For this reason, the author will carry out a gender analysis on the school examination items in Arabic learning which are used to determine student graduation. This study aims to determine the number of questions contained in the gender variant, and whether the school exam questions presented are gender-biased. So that it can be used as evaluation material and can reconstruct evaluations that contain gender bias to become more gender responsive. This research uses a qualitative approach to library research. Data collection techniques using interviews, questionnaires, and documentation. The data analysis technique was carried out in three stages, namely data collection, data presentation and drawing conclusions. The results of the research were: 1) questions containing gender equality consisted of 4 questions, gender neutral consisted of 30 questions, and gender bias consisted of 16 questions. 2) less than half of the school exam questions are gender bias oriented with a percentage of 32%.


Author(s):  
Antonino Virgillito ◽  
Federico Polidoro

Following the advent of Big Data, statistical offices have been largely exploring the use of Internet as data source for modernizing their data collection process. Particularly, prices are collected online in several statistical institutes through a technique known as web scraping. The objective of the chapter is to discuss the challenges of web scraping for setting up a continuous data collection process, exploring and classifying the more widespread techniques and presenting how they are used in practical cases. The main technical notions behind web scraping are presented and explained in order to give also to readers with no background in IT the sufficient elements to fully comprehend scraping techniques, promoting the building of mixed skills that is at the core of the spirit of modern data science. Challenges for official statistics deriving from the use of web scraping are briefly sketched. Finally, research ideas for overcoming the limitations of current techniques are presented and discussed.


Media Ekonomi ◽  
2017 ◽  
Vol 21 (1) ◽  
pp. 71
Author(s):  
Tenang Sapardi

<p>One of the major problems in estimating GDP is the absence of reliable, accurate, timely and consistent official economic and sosial statistics. One of them is that official statistics do not take into account the underground economy when estimating GDP. Deficiencies in estimation techniques and difficulties associated with data collection lead to misreporting and underreporting of national account statistics. The precence of a large underground economy undermines goverment revenue and tax collection. For this reasons, it is crucial to know the size of the underground economy and the magnitude of their activity in order to assess the implications for tax revenues or fiscal revenues. The data consist of quartely observations form 2000-2009 and are taken from BI, BPS and Minister of Finance. Estimating use the currency demand appraach, the first attempt to investigate the size of the underground economy using monetary variabels as a proxy.<br />Keywords: underground economy, monetary approach, currency demand, tax potential loss</p>


2019 ◽  
Vol 12 (1) ◽  
pp. 36
Author(s):  
Mochamad Nuruz Zaman

ID <> EN Translator vs Google Translation: Gender Bias in Electronic Translation Tools Online. This study investigates the gender bias expression of the pronoun “dia (pronoun of Indonesia language)” that does not refer yet the absolute gender either man or woman in the translation online tools of android play store. This study was designed descriptive qualitative with purposive sampling. Data collection is done by analyzing documents, namely analyzing data related to gender bias in the object of study. The results showed that negative meanings for men were less than positive. Negative meaning for women is more than the positive meaning.


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