Econometrics Jobs

12 were found based on your criteria {{ paging.total|number:0 }} were found based on your criteria

show all
  • Hourly ({{ jobTypeController.getFacetCount("0")|number:0}})
  • Fixed Price ({{ jobTypeController.getFacetCount("1")|number:0}})
Hourly - Expert ($$$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
Project is of major importance, will involve testing empirical data of our firm and using various econometric methods and regressions. The project will be around 10 months approximately and around 20-25 weekly hours and we are willing to pay up to $90/hour. ... For potential candidates: To be qualified for this big project we will be giving you a small task to analyze to test your econometric understand: Analyzing some tables and answering some questions on OLS and other econometric topics. ... For potential candidates: To be qualified for this big project we will be giving you a small task to analyze to test your econometric understand: Analyzing some tables and answering some questions on OLS and other econometric topics. IF YOU DO NOT KNOW ECONOMETRICS PLEASE DO NOT APPLY Thank you and Good Luck
Skills: Econometrics
Fixed-Price - Entry Level ($) - Est. Budget: $50 - Posted
I need help to match company identifiers across multiple financial databases. I have a database with 133,622 observations. In this database, I have CUSIP (8-digits), CUSIP (9-digists) and ISIN as company identifiers. For my research, I need to merge this database with three other databases, which are IBES for security analysts forecast information, COMPUSTAT for firm income and spending information, and CRSP for stock information. Because these three databases use different unique firm identifiers, please see the table below. I need to identify the corresponding GVKEY, PERMNO, and IBES ticker for the CUSIP in the primary database. The issue with CUSIP is that it changes over time for a company. So, for company A the CUSIP used in 2001 may be different to its CUSIP in 2003 or later. I will provide you with the primary database with four columns: CUSIP (8-digits), CUSIP (9-digists), ISIN, and a date. The output I’m looking for is the primary database with three additional columns, GVKEY, PERMNO, and IBES ticker. I can also provide you with one file that specify the match between CUSIP (9-digits) and GVKEY and PERMNO for different time period. Since GVKEY and PERMNO do not change over time, we can use this file to track the different CUSIP used for a firm across different years. In fact, there are already SAS code developed by WRDS to match IBES ticker and CRSP PERMNO. Since I always use STATA for my research and not familiar with SAS. I need help to process these. The SAS code to match IBES ticker to PERMNO https://wrds-web.wharton.upenn.edu/wrds/research/macros/sas_macros/iclink.cfm The SAS code to add PERMNO to Compustat data https://wrds-web.wharton.upenn.edu/wrds/research/macros/sas_macros/ccm.cfm Attached are two files: 1. A sample of the primary database with firm identifiers and date 2. A sample of the database showing the link between CUSIP, GVKEY, and PERMNO
Skills: Econometrics R SAS
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
Hello, We are looking forward to developing our Commercial Real Estate Credit Score algorithm, we are looking for talented and enthusiastic person that is a Mathematician or Economist that can help put all the criterias that we think are relevant for commercial real estate evaluation. Our first phase is get to an algorithm that works and produces a number at the end, hence the score of that commercial real estate. Our second phase is try and retrieve as much of the information that we need to determine the score from different online services via APIs or other means to try and automate scoring process best as possible. Our third phase is actually creating an online platform in-order to determine the credit score. We would like to start out with the process being within MS Excel, once more developed we will consider other systems. If you would like to be part of this exciting process please let us know. Thanks,
Skills: Econometrics Analytics Economic Analysis Economics
Hourly - Intermediate ($$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
Need a Math and Science Teacher to teach my children ages 9 and 13. Teaching to be done via Skype and any other needed applications. I would love them to focus on Economics, Biology, microbiology and A&P. "Real life focus." Not just go by the book kinda teaching! If you love teaching children please apply:) This is a Part-time position: 1-2 hours a day/5 days a week.
Skills: Econometrics Business Mathematics Economic Analysis Economics
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
I need somebody to help gather data on economic growth in the US since 2007/2008. This includes GDP and productivity growth, among other metrics. In addition, it is important that reasons are created to explain these growth metrics (ie. income inequality). These reasons/arguments should be backed up by logical points and data.
Skills: Econometrics Economic Analysis Economics
Fixed-Price - Intermediate ($$) - Est. Budget: $30 - Posted
Am looking for a free lancer who could do the basic statistic work using stata software. I will be providing the data file which is quite easy to understand. Just to give an idea the questions I will be examining in order to verify the work are Compute the exact varaible ratio. Use the variables which i will provide. Describe the distribution of the variable and draw bar or pie chart. Obtain the descriptive statistics of a variable. Discuss your findings (e.g. how is the shape of the frequency distribution function? How the data set is spread around the mean? What is the best measure of central tendency and why? Stata working file and results in word file i would like to see. P.s during interviews or chat all queries will be cleared.
Skills: Econometrics Stata Statistics
Fixed-Price - Intermediate ($$) - Est. Budget: $30 - Posted
Consider the Classical Linear Regression Model (CLRM) Y = α +βX +ε where X denotes the independent GNI per capita, Atlas method (current US$), Y is the dependent variable Life expectancy at birth, total (years), α and β are unknown constants and ε is a random variable. Use a calculator and your sample to calculate ∑X, ∑Y, ∑XY and ∑X2. Use these values to write down the pair of ‘normal equations’ the solutions of which give the constant term (a) and the slope coefficient (b) of the fitted Ordinary Least Squares line Y = a + bX. i. Write down the equivalent matrix representation of the normal equations you have written in part. Explain how matrix algebra can be used to solve for the terms a and b. Data will be provided on request and further instructions in order to make the analysis smooth.
Skills: Econometrics Stata Statistics
Fixed-Price - Intermediate ($$) - Est. Budget: $1,250 - Posted
Looking for a skilled R & Python developer with experience in Java/C for a 4-7 month research project with possible extention for a year. You will work in cross-functional team with academics from NES (http://www.nes.ru), employers from Treasury Department of Sberbank and methodologists from Corporate University of Sberbank. Candidates from Moscow, Russia are preferable
Skills: Econometrics Python R SQL