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What is the Econometrics Laboratory?
The Econometrics Laboratory (EML) is a computing facility at UC Berkeley for graduate-level instruction and research in economics, run as a unit of the Institute of Business and Economic Research and housed by the Department of Economics. Its focus is computationally intensive econometrics, and it provides server services, user support, and a broad selection of statistical, mathematical, and econometric software.
Econometrics Laboratory
Who it serves
Its stated audience is graduate students and faculty in the Department of Economics, and its work centers on new developments in computationally intensive econometrics. If you are outside that group, treat it as a specialized departmental lab rather than a general-purpose computing service.
What you can expect to find
The site's navigation points to the practical pieces a new user needs:
- Getting Started, including getting an EML account
- Remote Access
- A Compute Cluster
- Related resources such as computing resources and the Econometrics Seminar
- Background material, including a brief history of the EML
How to judge whether it fits your needs
Ask three questions: Do you need remote access to a shared compute cluster rather than a local machine? Do you need econometric and statistical software already installed and supported? Are you affiliated with Berkeley Economics at the graduate level or as faculty? If the answers are yes, start with the Getting Started page and the account instructions; if you mainly need software licenses or cloud compute for independent work, a general research computing service will likely be a better fit.
Who is eligible to get an EML account?
Eligibility is tied to UC Berkeley's Department of Economics: the Econometrics Laboratory describes itself as a computing facility dedicated to graduate-level instruction and to research by graduate students and faculty in that department. So the core eligible group is Berkeley economics graduate students and economics faculty.
If you are outside that group — an undergraduate, a visiting researcher, or someone in another department — the page does not present you as an intended user. In practice, people in adjacent fields who need heavy econometric computation usually look for access through a department affiliation, a collaborator, or a separate campus computing service rather than an EML account.
A practical next step: check the "Getting Started" section for the account-request process and confirm your affiliation before applying. If you are unsure whether you qualify, ask your department's computing contact rather than assuming; eligibility here is defined by department and role, not by interest in econometrics.
For broader context on the lab and its resources, see Econometrics Laboratory.
How do I access the EML compute cluster remotely?
Remote access to the EML compute cluster is handled through the lab's account system, so the practical path is: get an EML account first, then connect to the cluster using the remote-access method the lab documents.
Who this is for
The EML is described as a computing facility for graduate-level instruction and research by graduate students and faculty in UC Berkeley's Department of Economics. If you are outside that group, remote cluster access is unlikely to be available to you, since accounts are tied to the department's teaching and research use.
Practical steps
- Confirm you are eligible — graduate student or faculty in the Department of Economics.
- Request an EML account through the lab (the "Getting an EML account" link on their Getting Started page).
- Once you have credentials, use their "Remote Access" page, which is the lab's own entry point for connecting from outside the lab.
- For jobs that need more than a login session, use the "Compute Cluster" resource the lab provides rather than running heavy work on a login node.
What to check before you start
- Whether you need simple remote login (to run software interactively) or batch submission to the cluster — these are different workflows and the lab documents them separately.
- Which statistical, mathematical or econometric software you need; the lab states it offers a wide selection, but availability and licensing may differ per package.
- Whether your work involves computationally intensive econometrics, which is the lab's stated research focus and the area where cluster use matters most.
A useful next step is to read the lab's own Getting Started and Remote Access pages in that order, since account setup is a prerequisite for any connection method.
For broader context on the department and research institute behind the lab, see UC Berkeley and Institute of Business and Economic Research.
What statistical and econometric software is available on EML servers?
The EML page does not publish a specific software list. It states that the Lab provides a "wide selection of statistical, mathematical and econometric software" for graduate instruction and research in the UC Berkeley Department of Economics, along with server services and user support.
What you can rely on from the page:
- The facility is aimed at graduate-level teaching and faculty/graduate research in economics, with emphasis on computationally intensive econometrics.
- Software is provided on EML servers, so you generally work remotely rather than installing everything locally.
- The "Getting Started" path covers getting an EML account, remote access and the compute cluster; "Related Resources" points to computing resources and the Econometrics Seminar.
If you need the actual package list, the practical next step is to request it directly from EML support or your department's computing contact before designing a course or replicating a project. Ask specifically about:
| Need | What to ask |
|---|---|
| Standard econometrics | Which packages are installed and which versions |
| Compiled languages | Whether C/C++/Fortran compilers and MPI are available |
| Parallel work | Cluster scheduler, core limits and job submission rules |
| Reproducibility | Whether you can install packages in your own account or use containers |
| Licensing | Which commercial packages are covered by site licenses |
For a concrete scenario: a graduate student running Monte Carlo simulations should confirm the scheduler and compiler setup first, then test a small job before committing to a full run. A course instructor should verify that every package used in assignments is present on the cluster, since students may not have local alternatives.
The main trade-off is between a managed, well-supported shared environment and the flexibility of your own machine; EML is designed for the former, which is usually better for teaching and large shared datasets but can constrain unusual software needs. For broader economics computing resources at Berkeley, see Berkeley Economics.
What kind of user support does the EML provide for graduate research?
The Econometrics Laboratory (EML) at UC Berkeley describes itself as a service-oriented computing facility for graduate-level instruction and research in the Department of Economics. Its stated user support includes comprehensive user support alongside server services and a broad selection of statistical, mathematical and econometric software.
For a graduate student, that combination matters most in the middle of a project, not at the start. You are more likely to need help when a model will not converge, a job fails on the cluster, or a package version breaks a replication.
What the support covers
- Account setup and access: Getting an EML account and remote access are listed as starting points, so new graduate users can get onto the systems.
- Compute and server services: The lab provides server services and a compute cluster for computationally intensive econometrics.
- Software availability: Users get access to a wide selection of statistical, mathematical and econometric software rather than a single fixed toolchain.
- Human support: The lab explicitly commits to comprehensive user support, which is the part that helps when documentation runs out.
How to use it well
Treat the EML as a research infrastructure rather than a help desk of last resort. Before you start a computationally heavy project, confirm your account, remote access and cluster workflow, and ask which software is supported for your method. That turns support into a planning step instead of an emergency.
If your work spans economics and computing, the lab sits within the Institute of Business and Economic Research and is located in space provided by the Department of Economics. Related resources listed by the lab include computing resources and the Econometrics Seminar, which can be useful for finding out how other graduate researchers handle similar computational problems.
How does the EML support computationally intensive econometrics research?
The Econometrics Laboratory (EML) at UC Berkeley supports computationally intensive econometrics by acting as a shared research-computing facility for the Department of Economics: it supplies server-based compute resources, statistical and econometric software, and user support, and it is explicitly dedicated to graduate instruction and to research by graduate students and faculty. In practice, that means a researcher who needs to run simulation studies, bootstrap or resampling procedures, or large panel/estimation jobs can use the Lab's infrastructure instead of relying on a personal laptop.
How the support is organized
- Compute access: The Lab provides server services and a compute cluster, which is the key enabler for jobs that exceed desktop capacity.
- Software breadth: It offers a selection of statistical, mathematical and econometric software, so work isn't tied to a single package.
- User support: It describes itself as service-oriented and comprehensive in user support, which matters when graduate students are learning to run large jobs.
- Access paths: Getting started covers obtaining an EML account and remote access, so off-campus or after-hours work is feasible.
H3. Who benefits and the trade-offs This model suits graduate students and faculty in the Department of Economics who need shared, maintained compute for repeated or heavy estimation tasks. The trade-off is typical of shared academic facilities: you gain capacity, software and support, but you depend on account provisioning, remote-access procedures and cluster scheduling rather than having full control of a local machine. The Lab is a unit of the Institute of Business and Economic Research, located in space provided by the Department of Economics, which explains its focus on the department's research and graduate instruction rather than general public computing.
A practical next step: if you are considering a similar setup for your own work, first check whether your institution offers an equivalent departmental compute facility, then confirm three things — how accounts are granted, whether remote access is available, and which statistical/econometric packages are licensed. For Berkeley Economics affiliates, start with the EML's Getting Started pages at Econometrics Laboratory.
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