<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Time Series Econometrics on Jeremy Meng</title><link>https://jeremyxtmeng.github.io/tags/time-series-econometrics/</link><description>Recent content in Time Series Econometrics on Jeremy Meng</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 19 Feb 2012 18:44:16 +0000</lastBuildDate><atom:link href="https://jeremyxtmeng.github.io/tags/time-series-econometrics/index.xml" rel="self" type="application/rss+xml"/><item><title>Applied Econometrics</title><link>https://jeremyxtmeng.github.io/portfolio/metrics/</link><pubDate>Sun, 19 Feb 2012 18:44:16 +0000</pubDate><guid>https://jeremyxtmeng.github.io/portfolio/metrics/</guid><description>&lt;p&gt;I am an expert in a wide range of tools in applied econometrics for predictive and cause-and-effect types of questions using various data types, including spatial panel, longitudinal data, and time series.&lt;/p&gt;
&lt;p&gt;I am interested in collecting and constructing my own data, often being the first in specific domains, to best answer the questions at hand.&lt;/p&gt;
&lt;p&gt;Although frameworks like propensity score matching, staggered diff-in-diffs, event studies, and synthetic controls are in my arsenal, I am interested in deeply understanding the nature of the problem and discovering natural experiments in observational data to understand causes and effects.&lt;/p&gt;</description></item></channel></rss>