# ViewPipeSteps

Super cool. Taking the 'black box' problem out of #rstats programming. Can't wait to try it out! ViewPipeSteps https://twitter.com/dataandme/status/970747283494068224

# Machine Learning and Econometrics: Model Selection and Assessment Statistical Learning Style

This is the second in a series of posts where I document my own process in figuring out how machine learning relates to the classic econometrics one learns in a graduate program in economics. Note that I am a humble practitioner of applied econometrics, so the ideas I am working through are not new,…

# How does Machine Learning fit into Agricultural Economics?

Photo by Dirk Vorderstraße (Mähdrescher von John Deere in der Warburger Börde) [CC BY 2.0], via Wikimedia Commons Post 1 in a series of 3. Post 2 : Machine Learning and Econometrics: Model Selection and Assessment Statistical Learning Style Post 3: Machine Learning and Econometrics: Trees, Random Forests, and Boosting   Machine learning and artificial intelligence…

# Basic Time-Series Analysis: Model Choice Cookbook

This post is the sixth and final in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how…

# Basic Time-Series Analysis: A Drunk and Her Dog Explain Cointegration and the VECM Model

Dogs Image By Peter Wadsworth (Flickr) [CC BY 2.0], via Wikimedia Commons This post is the fifth in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is…

# Basic Time-Series Analysis: The VAR Model Explained

This post is the third in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how use certain…

# Basic Time-Series Analysis: Modeling Volatility (GARCH)

This post is the third in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how use certain tests…

# Basic Time-Series Analysis, Single Equation Models (ARIMA)

This post is the second in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how use certain tests…

# Basic Time-Series Analysis, the Game

Update: Posts in this series Introduction and Stationary versus Unit Roots (this post) Single Equation Models, ARIMA Single Equation Models, GARCH Multiple Equation Models, VAR Multiple Equation Models, Cointegration and VECM Roadmap: Which Model for your Project (coming soon) When graduate students approach me hoping to start research in price analysis, they usually have to…

# Research Communication Strategy

I've been inspired by all the live-tweeting of really interesting work at the #ASSA2018 meetings today. Examples here, here, and here. That makes it a good day to post a game-plan for pre-publication research communication that I have been kicking around. A main motivation I have for starting a blog is to communicate more and…