{"id":4234,"date":"2019-03-07T08:30:29","date_gmt":"2019-03-07T15:30:29","guid":{"rendered":"http:\/\/blogs.pugetsound.edu\/econ\/?p=4234"},"modified":"2019-03-06T10:18:06","modified_gmt":"2019-03-06T17:18:06","slug":"thesis-corner-natanya-glatt","status":"publish","type":"post","link":"https:\/\/blogs.pugetsound.edu\/econ\/2019\/03\/07\/thesis-corner-natanya-glatt\/","title":{"rendered":"Thesis Corner: Natanya Glatt"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">An interview about a neat thesis on an issue that many of us from the Bay Area and similar tech-crazed regions are familiar with! Natanya is an Economics major with Business and Math minors. You can check out her thesis <\/span><a href=\"https:\/\/www.slideshare.net\/slideshow\/embed_code\/key\/l6DbX96jsL0Y6Q\"><span style=\"font-weight: 400;\">here<\/span><\/a><span style=\"font-weight: 400;\"> if you want to know more!<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">What\u2019s your thesis about?<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">How tech workers impact median household prices. I looked at this from an econometric standpoint, collected data from the Census Bureau, and then used a fixed effects model to analyze whether [tech workers] have an impact, adjusting for variables like entity and time and other variables that may affect median household prices.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Okay, cool! So, what made you decide to choose this topic, and is this the topic you started with?<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">I always had this topic in mind, I just wanted to go about it in a different way. I wanted to use a traditional hedonic regression analysis\u2026<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Can you describe what that is?<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Yeah, hedonic regression is just looking at supply and demand side factors that affect median household prices, but [it looks] very specifically at parcel data, or zipcode data. So, very individualized data. And that\u2019s actually why it didn\u2019t work, because it\u2019s impossible to get, which is super unfortunate. But&#8230; that method really helps look at the intrametropolitan patterns that may affect median household prices rather than just the larger picture. So that\u2019s pretty unfortunate, but it\u2019s fine [laughs].<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">So, from that, what was the process of changing your topic to something else? <\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Sure, so I just kind of had to change the question a little bit. So, originally it was: \u201chow do tech workers in San Francisco\/Bay Area affect median household prices?\u201d And so, since I had to use a different model\u2026 I basically had to adjust for all the counties in my model, so therefore I had to broaden my question to: \u201chow do tech workers affect median household prices?\u201d <\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Gotcha. So, I was going to ask you what the biggest challenges were but&#8230; is that the biggest one? [Laughs] Or was there something else that was a surprising challenge?<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Yeah, it was mainly just collecting data, finding it, changing the question, and then probably manipulating the data so it actually reflected my question a little better.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Cool. And, did anything in the results end up surprising you, or anything you found in the process?<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Yeah, definitely. My results weren\u2019t as significant as I thought they would be. What is basically found is that, for one added tech worker, there\u2019s about a $4 increase in median household prices. So, of course, the bigger the tech worker number is, it seems a little more significant\u2026 But, that [lack of significance] is probably due to the fact that it\u2019s not individualized data, so we\u2019re not really seeing those patterns.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Well, if you were to build on your thesis and keep working on it, what would you pursue related to this topic?<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Well, I\u2019m actually going to do this in another class. I\u2019m going to basically look at the Seattle market, so I\u2019ll just be looking at other markets experiencing similar trends to San Francisco, or to California in general\u2026 Unfortunately, I wouldn\u2019t be able to compare those models necessarily, because the variables would have to be the exact same\u2026 So I would probably just try to find individualized data.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Cool. Well, what advice do you have for students as they think about their theses next fall and\u2026 get excited? [Laughs]<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Look for data before you try to find a question. Or just start looking in advance, because [data] is always going to be the hardest thing to find.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">True. Awesome- thanks, Natanya!<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>An interview about a neat thesis on an issue that many of us from the Bay Area and similar tech-crazed regions are familiar with! Natanya is an Economics major with Business and Math minors. You can check out her thesis here if you want to know more! What\u2019s your thesis about? How tech workers impact median household prices. I looked at this from an econometric standpoint, collected data from the Census Bureau, and then used a fixed effects model to analyze whether [tech workers] have an impact, adjusting for variables like entity and time and other variables that may affect <a class=\"more-link\" href=\"https:\/\/blogs.pugetsound.edu\/econ\/2019\/03\/07\/thesis-corner-natanya-glatt\/\">Continue reading <span class=\"screen-reader-text\">  Thesis Corner: Natanya Glatt<\/span><span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-4234","post","type-post","status-publish","format-standard","hentry","category-economics"],"_links":{"self":[{"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/posts\/4234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/comments?post=4234"}],"version-history":[{"count":3,"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/posts\/4234\/revisions"}],"predecessor-version":[{"id":4237,"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/posts\/4234\/revisions\/4237"}],"wp:attachment":[{"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/media?parent=4234"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/categories?post=4234"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.pugetsound.edu\/econ\/wp-json\/wp\/v2\/tags?post=4234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}