Collect CEO Appointment Data for US Firms

Cerrado Publicado Dec 16, 2014 Pagado a la entrega
Cerrado

Data Collection Needed: Building a Dataset

The deliverable product is a spreadsheet with data on CEO appointment dates and information on whether they have non-compete clauses in their contracts. The largest publicly traded firms in the US are listed on three exchanges, NASDAQ, NYSE, and AMEX. The firms listed on these three exchanges comprise the starting point for this sample. Federal Securities rules in the US require firms to disclose any employment contracts that they have entered into with their Chief Executive Officer. We want to look at the contracts of newly appointed CEOs of publicly listed firms from Jan 1, 2000 to Dec 31, 2014.

This data collection involves 4 steps

Step 1: Determine firms with at least one change in CEO since Jan 1, 2000.

Step 2: Determine all of the CEO changes during the time period for each firm

Step 3: Classify the CEO appointment with regards to his/her prior affiliation with the firm, their gender, and HQ address

Step 4: Determine whether there is a Non-Competition clause in the agreement between each CEO and the firm

More details for each step are included in the Data Collection PDF file below. The delivered project will be an extended version of the attached sample spreadsheet. The sample spreadsheet shows the results for this type of analysis for 25 CEO appointments over the past few years.

Entrada de datos Procesamiento de datos Excel Investigación

Nº del proyecto: #6871082

Sobre el proyecto

2 propuestas Proyecto remoto Activo Jan 22, 2015

2 freelancers están ofertando un promedio de $12 / hora por este trabajo

julie4767

There are no attachments here. I am a detail oriented, hardworking, dedicated perfectionist. I look forward to finishing this project for you.

$11 USD / hora
(2 comentarios)
2.0
gpadmapriya1976

Hi, I am Priya from Chennai, India. I am a home based data entry worker (Graduate in Commerce) experienced in various fields such as data typing, data entry, ad posting, data mining, data extracting, data scraping, Más

$13 USD / hora
(0 comentarios)
0.0