Skip navigation links



Econometrics has long been a strength of the Economics Department at Michigan State University. ÊSTIMATE -- Early Summer Tutorial In Modern Applied Tools of Econometrics -- gives empirical practitioners, academic researchers, industry/government researchers/analysts, and graduate students, access to econometrics training usually reserved for students formally enrolled in Ph.D. programs at MSU. ÊSTIMATE is an intensive weekend workshop taught by world-class econometricians. ÊSTIMATE’s focus is modern econometric tools as used in practice. Participants learn methods and techniques to use immediately in their empirical research. ÊSTIMATE’s goal is to broaden and improve the practice of econometric methods throughout empirical research and data analysis in academics, industry and government.

Presentations focus on understanding when various models and estimation methods are appropriate as well as how to conduct proper inference in a variety of settings. Methods are illustrated with empirical examples using the econometrics software package Stata. Participants receive access to course/workshop materials including presentation slides, notes, data sets, and Stata .do files.  Topics will include:

  • Linear Models with Cross-Sectional Data
  • Estimation of Causal Effects
  • Introduction to Regression with Time Series Data
  • Finite Populations, Stratified Sampling, and Cluster Sampling
  • Difference-in-Differences Estimation
  • Linear Panel Data Models with Microeconomic Data
  • Linear Panel Data Models with Many Time Periods
  • Instrumental Variables Methods with Panel Data
  • Nonlinear Models for Cross-Sectional Panel Data
  • Nonlinear Models for Panel Data

All are welcome to register for ÊSTIMATE. However, to fully benefit from the workshop, we recommend that participants have an econometrics background comparable to a first-year PhD econometrics sequence.

ÊSTIMATE Summer 2024

Instructors: Jeff Wooldridge (Michigan State University), Tim Vogelsang (Michigan State University)

Dates: June 7-9, 2024, 8:30 am to 5:30 pm, Eastern Daylight Time (EDT)

Bonus Stata Session: June 10, 8:30-12:30 EDT

Description: This course covers econometric methods that are commonly used in empirical research in a variety of data settings. The course begins with a review of ordinary least squares with cross-sectional data, with emphasis on the approximating properties of linear regression. Issues of inference in settings with finite populations and clustering will be covered. Properties of OLS and suitable inference methods for time series data are also covered on the first day. Several commonly used nonlinear models in causal inference – logit, probit, the fractional versions of these, and Poisson regression – round out the first day.

The second day begins with treatment effect estimation assuming either random or unconfounded assignment, using the methods covered on day one. Linear panel data models, from both the small-T and large-T perspectives, are also covered on day two. Pooled OLS, random effects, fixed effects, and first differencing are covered in some detail. These methods are applied to provide a modern treatment of difference-in-differences methods with panel data.

Day three covers instrumental variables estimation in both cross-sectional and panel data settings. In the latter case, we discuss how to combine fixed effects and differencing methods with instrumental variables. Nonlinear panel data models, with emphasis on binary, fractional, and nonnegative responses, are also covered on day three. The practically useful correlated random effects approach and the Poisson fixed effects estimator are the focus.

All methods will be illustrated using the software package Stata. The bonus session on Monday, June 10 shows how to use Stata for estimation in staggered difference-in-differences designs, including both linear and nonlinear models. Endogenous switching regressions to estimate treatment effects will be covered as time permits.

Participants will get the most of the course if they have had a first-year econometrics sequence at the advanced undergraduate or master’s levels – at the level of Wooldridge, Introductory Econometrics: A Modern Approach, 7e, Cengage, 2020. The Wooldridge book Econometric Analysis of Cross Section and Panel Data, 2e, MIT Press, 2010, covers much of the material but at a higher level than in the lectures.

The in-person/hybrid lectures and the Q&A sessions will be recorded and the recordings will be made available to participants.


Registration is open for ÊSTIMATE June 7-10, 2024. The workshop will be held in person with the option to attend virtually.



Course Fees

MSU students - $300 ($350 after May 15)
MSU faculty -  $800 ($950 after May 15)
Non-MSU students and MSU Alumni - $600 ($700 after May 15)
General - $1,200 ($1,350 after May 15)

Group discounts are available when 5 or more people from the same organization register. For more information regarding this discount, please email

NOTE: Please make sure your browser pop up blocker is turned off before clicking the "Register Now" button. Failure to do so could block the registration window.


Course Schedule

Note: All times are in EDT.

Session 1: 8:30-10:00

Linear approximations and average partial effects. Ordinary Least Squares (OLS) on cross-sectional data. Functional form and selection of regressors.

Q&A/Break: 10:00-10:30

Session 2: 10:30-12:00

Design-based inference. Calculating standard errors with finite populations. Inference with cluster sampling and/or clustered assignment.

Q&A/Lunch Break: 12:00-13:30

Session 3: 13:30-15:00

OLS with time series data. Trends and seasonality. Newey-West standard errors. Fixed-b asymptotics.

Q&A/Break: 15:00-15:30

Session 4: 15:30-17:00

Logit, probit, and hetprobit for binary responses. Fractional response models. Exponential models for count and other nonnegative outcomes. Poisson regression.

Q&A: 17:00-17:30

Reception 6:00-7:00pm Cornish Room, Kellogg Hotel and Conference Center

Session 5: 8:30-10:00

Potential outcomes and average treatment effects. Estimation assuming unconfoundedness. Regression adjustment, propensity score methods, doubly robust estimation.

Q&A/Break: 10:00-10:30

Session 6: 10:30-12:00

Microeconometric analysis of linear panel data models under strict exogeneity. Fixed effects, random effects, first differencing. Cluster-robust inference. Specification testing.

Q&A/Lunch Break: 12:00-13:30

Session 7: 13:30-15:00

Large-T panel data analysis. Fixed effects estimation. Driscoll-Kraay standard errors. Estimation with heterogeneous trends.

Q&A/Break: 15:00-15:30

Session 8: 15:30-17:00

Difference-in-differences with panel data. Pooled OLS and fixed effects estimation with staggered interventions and covariates. Violation of parallel trends.

Q&A: 17:00-17:30

Session 9: 8:30-10:00

Instrumental variables and two-stage least squares estimation with cross-sectional data. Weak instruments. Specification testing. Models nonlinear in explanatory variables.

Q&A/Break: 10:00-10:30

Session 10: 10:30-12:00

Combining panel data methods with instrumental variables. Fixed effects 2SLS. First-differencing strategies and generalized method of moments estimation.

Q&A/Lunch Break: 12:00-13:30

Session 11: 13:30-15:00

Nonlinear panel data models with strictly exogenous explanatory variables. Application of correlated random effects to binary and fractional responses. Fixed effects Poisson estimation with an exponential mean. Cluster-robust inference.

Q&A/Break: 15:00-15:30

Session 12: 15:30-17:00

Endogeneity in nonlinear models. Control function methods for binary and fractional response. Exponential models. Panel data extensions.

Q&A: 17:00-17:30

Session 13: 8:30-10:00

Using regress, xtreg, logit, probit, glm, fracreg, xtpoisson in staggered DiD designs.

Q&A/Break: 10:00-10:30

Session 14: 10:30-12:00

Using probit and regress with bootstrapping to implement flexible control function estimation of endogenous switching models of treatment effects.

Q&A: 12:00-12:30

ÊSTIMATE Frequently Asked Questions

We have no funding available to support attendees. The proceeds from this short course are used to help support our graduate students. In future years, this course may be offered in different locations or in conjunction with a national or international meeting and if/when we do, it will be advertised extensively.
Approximately a week before the course starts, a zipped file of the slides will be emailed to all the participants.
Please send your name and full mailing address to  and a letter will be emailed to you. Please specify if you also need a hard copy.  Note that we do not have an official University stamp (or certified copy) available for sending.
Because of the condensed timeframe for this course, it is taught strictly in the form of lectures and copies of all course slides are provided. Some attendees bring computers so they can view the slides on them or so that they can test out some of the knowledge learned in the evening but there is no hands-on time available during the course itself.

The Monday Stata session allows the instructors to focus on empirical implementation topics using Stata and example data sets that are not covered during the lectures. Participants that attend this session should bring a laptop.

All are welcome to register for ÊSTIMATE. However, to fully benefit from the workshop, we recommend that participants have an econometrics background comparable to a first-year Ph.D. econometrics sequence.

By way of example, the topics covered in the first year econometrics sequence at MSU (EC820A, EC820B) include: Statistical tools for econometrics. Applications of statistical tools, including probability distributions, estimation, hypothesis testing, asymptotic theory and maximum likelihood to econometric problems. The single equation regression model. Properties of least-squares estimators under various specifications. Multicollinearity, generalized least-squares, errors in variables, seemingly unrelated regressions. Identification and estimation in simultaneous equations models.

Pay by Plate Parking (see instructions on how to park this way below).

“Pay by Plate” parking is available at Lot 39 (south of the International Center – in yellow on the bottom left of screenshot below). You must park in a space designated as a “Pay by Plate” parking space. Signage has been installed in these areas. Immediately after parking, follow directions on the "Pay by Plate" signs - you'll need your license plate number and payment card.

Note: Parking spaces not marked as “Pay by Plate” may be reserved for permit parking. Parking in a space not designated as ”Pay by Plate” parking may result in a parking violation.

Erickson Parking

There will be a hosted reception on Friday, June 7, from 6:00-7:00 p.m. in the Cornish Room at the Kellogg Hotel and Conference Center. Additionally, the registration fees include continental breakfast on the Friday and Saturday and coffee/snacks during breaks. Participants are responsible for their own lunch and dinner outside of those meals.

We have some rooms blocked at a conference rate of $125 per night at the Kellogg Hotel and Conference Center. This rate is effective up to May 3, 2024. When booking, please provide the code: 2406DEPAR2. 

The course is being taught at Erickson Hall (620 Farm Lane, East Lansing, MI 48824) in the large room on the north side of the building (nearest the river) called the “Kiva,” Room 103 Erickson. There are a number of hotels within walking distance. Some offer shuttle service but you would need to contact the hotel directly. 

Restaurants on campus:

For recommended dining hall hours, pricing and menus, visit 

Phillips/Snyder Hall

About a five minute walk from the Kiva (Erickson Hall), in Phillips/Snyder Hall, there is a group of restaurants (called “The Gallery”) and you pay one fee for access to all foods served there.

To get to The Gallery from workshop, go north on Farm Lane to the first traffic light and then turn east (right) onto Auditorium. Approximately one block later, when you reach Physics Road, curve to the left and go north and Phillips/Snyder will be just a short walk north and on your right.

Brody Square

If you’re staying at the Kellogg Center, there is another campus location with a similar set-up across the street (Harrison) in the Brody Complex. It’s called “Brody Square”

Crossroads Food Court - MSU International Center

Just west of Erickson, there is Crossroads Food Court in the International Center (located in the back of that building). 


For additional information, contact us:

Department of Economics
Michigan State University
486 W. Circle Dr. Room 110
East Lansing, MI 48824

Phone: (517) 355-7583