Ela obteve seu PhD em economia pela Ohio State University em 2018 e, em seguida, atuou como pa³s-doutoranda em economia na Stanford University de 2018 a 2020.
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)
Kirby Nielsen em casa com seus dois gatos, Aslan e Ender. Crédito: Sam Nielsen
A professora assistente de economia da New Caltech, Kirby Nielsen, achava que ela queria ser cirurgia£ na faculdade. Ela estudou biologia e trabalhou como EMT (técnica de emergaªncia médica), fazendo passeios de ambulância como parte de sua educação. Por fim, poranãm, ela percebeu que não queria ser médica, nem mesmo bia³loga; foi a economia que mais despertou seu interesse. Por fim, ela encontrou seu caminho para o campo da economia experimental.
Ela obteve seu PhD em economia pela Ohio State University em 2018 e, em seguida, atuou como pa³s-doutoranda em economia na Stanford University de 2018 a 2020.
Especificamente, o trabalho de Nielsen se concentra no comportamento de tomada de decisão dos indivíduos e usa experimentos para estudar como as pessoas percebem o risco e a incerteza. Os resultados de sua pesquisa podem informar melhor como as pessoas tomam decisaµes em uma variedade de áreas, incluindo investimentos financeiros e saúde, bem como decisaµes gerenciais no local de trabalho.
Na³s nos encontramos com Nielsen durante a Zoom para discutir sua pesquisa e sua transição para Pasadena em meio a uma pandemia.
Vocaª pode nos contar mais sobre seus anos de faculdade de pré-medicina?
Fiz o curso de graduação na Rice University em Houston, principalmente porque queria ser pré-medicina. Eu fui um EMT no meu primeiro ano de faculdade e, mais tarde, fiz um esta¡gio no Scripps Research Institute na Fla³rida, que era mais perto de casa; Eu cresci no sul da Fla³rida.
Na Scripps, treinamos moscas-das-frutas para reconhecer diferentes cheiros para estudar o aprendizado e a memória. Foi uma a³tima experiência, mas percebi que não me importava muito com as moscas das frutas. Esse foi o ponto de viragem. Eu gostava de fazer pesquisa, mas não amava biologia. Quando pensava em qual seria minha matéria preferida de pesquisa, sempre voltava a minha matéria preferida no ensino manãdio, que era economia. Foi quando comecei a aprender sobre como pesquisar o comportamento humano em contextos econa´micos, o que me levou a economia experimental.
O que envolve a economia comportamental e experimental?
Sempre que digo a s pessoas que sou economista, elas acham que devo estudar o mercado de ações. Mas os economistas comportamentais estudam o comportamento e como ele se relaciona com vários tipos de mercados e interações. Os experimentos são uma ferramenta que usamos para estudar esse comportamento. Embora muitos trabalhos de economia experimental sejam sobre o estudo de interações estratanãgicas entre duas partes, meu foco émais nos indivíduos e em como eles percebem o risco e a incerteza.
A Caltech tem uma longa história de ser uma potaªncia em economia experimental, e épor isso que étão emocionante trabalhar aqui. A economia experimental estãose tornando mais popular, mas ainda érelativamente nova no amplo escopo da economia. Nem todas as escolas são tão amiga¡veis ​​com os experimentos. Aqui, eu tenho um departamento de apoio e hámuitas pessoas com quem posso falar neste campo. Além disso, o Caltech como um todo émuito focado na pesquisa, e éemocionante estar perto de professores e alunos que valorizam e priorizam a pesquisa.
Como funcionam os experimentos?
Antes da pandemia, levaraamos pessoas a um laboratório de informa¡tica para participar do experimento, mas também podemos fazer esses estudos online. Geralmente, os participantes clicam em questiona¡rios ou outras interfaces programadas. O principal aspecto da economia éque incentivamos todas as escolhas que pedimos a s pessoas. Vocaª não pode simplesmente pedir a s pessoas que tomem várias decisaµes e paguem US $ 20 no final, porque elas podem simplesmente clicar para receber o pagamento.
O valor que vocêrecebe, ou o que quer que vocêreceba da experiência, precisa estar vinculado a decisão que vocêrealmente toma. Uma grande parte do design experimental éincentivar essas escolhas para que as pessoas digam com sinceridade quais são suas preferaªncias. Pode ser um desafio divertido encontrar maneiras novas e exclusivas de incentivar algumas decisaµes.
Vocaª pode nos contar sobre algumas de suas pesquisas atuais?
Uma questãoque estamos examinando agora écomo as experiências do passado afetam sua tomada de riscos no futuro. Basicamente, descobrimos que, se o risco for bem, émais prova¡vel que vocêse arrisque novamente. E se o risco for ruim, vocêse tornara¡ menos propenso a correr o risco. Isso parece sensato, mas depende do tipo de risco. Pegue a loteria. a‰ um risco de longo alcance. Ha¡ uma pequena chance de ganhar, mas quando vocêganha, a s vezes ganha muito. E então, quando vocênão ganha, vocênão perde tanto por um bilhete de raspadinha. Nesse caso, se vocêperder, tera¡ maior probabilidade de correr riscos, porque o valor que vocêganha pode cobrir suas perdas.
Outro exemplo éo mercado de ações. Se sua ação cair, vocêvai retira¡-la e tentar comprar uma nova para cobrir o prejuazo? Estamos tentando entender como as pessoas respondem a incerteza na vida cotidiana. Esse tipo de pesquisa pode nos ajudar a informar melhor as decisaµes financeiras, por exemplo, como as pessoas investem seu dinheiro.
Outro conjunto de experimentos éverificar como as pessoas obtem informações sobre eventos incertos. Pelo menos atéagora, a literatura pressupaµe que obter informações mais cedo são pode ajuda¡-lo: quanto mais vocêsouber, mais informadas sera£o suas decisaµes. Mas vemos pessoas evitando informações em alguns ambientes. Porque éque eles estãoa fazer isto?
Em nosso projeto, estamos comparando quando as pessoas gostam de receber informações sobre algo que já aconteceu no passado, como um exame médico, com aprender sobre algo que estãose resolvendo com o tempo, como uma eleição. O que descobrimos éque as pessoas são mais propensas a evitar informações no último caso, quando a situação não éresolvida. a‰ a montanha-russa de emoções que as pessoas parecem não gostar.
Esse tipo de trabalho tem aplicações em diversas áreas, mas o domanio da saúde éum exemplo a³bvio, pois as pessoas tendem a evitar informações, como saber se tem um gene para determinada doena§a. A forma como as informações são apresentadas a s pessoas pode torna¡-las mais propensas a fazer um teste genanãtico ou não.
Algumas dessas pesquisas parecem psicologia. Como a economia comportamental édiferente da psicologia?
A economia comportamental estãomais focada em tópicos economicamente relevantes. Por exemplo, em vez de apenas entender sua personalidade, realmente queremos saber como isso ocorre em mercados onde muitas pessoas estãointeragindo. Mas pegamos emprestados muitos insights e metodologias da psicologia, que éparte do que torna a economia comportamental uma área tão divertida de se trabalhar. A economia comportamental éa mistura de psicologia e economia, então posso combinar as ferramentas de ponta de ambas campos para entender melhor o comportamento.
Vocaª estãogostando de Pasadena atéagora?
a‰ estranho mudar para um novo lugar e não ir a lugar nenhum por causa da pandemia, então édifacil dar uma resposta completa para essa pergunta. Nãoconhea§o os restaurantes ainda porque temos feito apenas comida para viagem. Mas atéagora, eu realmente gosto de passar um tempo fora de casa, fazer caminhadas e esse tipo de coisa. Vindo do sul da Fla³rida, onde étotalmente plano, não acho que vi uma montanha durante os primeiros 16 anos da minha vida. Cada vez que olho para as montanhas, fico fascinado. Estou recuperando o tempo perdido a esse respeito.
Eu também passo meu tempo com dois gatos, Ender e Aslan. Na³s os adotamos logo após nos mudarmos para Ohio e comea§ar a pós-graduação. Eles tiveram que se mudar muito, mas parecem estar aproveitando a vida aqui em Pasadena. Descubro que passo uma parte desproporcional do meu tempo tirando fotos deles . Eu não posso evitar!