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IMPLAN Blog

Tim French

Recent Posts

What You Need to Know to Future-Proof Your Opportunity-Zone-Based Economic Impact Analyses

Posted by Tim French on May 24, 2019

Regulatory standards, depending on your reading of the latest IRS Tranches and guidance, have either changed or come into clearer focus when it comes to what the CDFI Fund identifies as a "successful" Opportunity Zone (OZ) project. Regardless of your reading of IRS's latest missives, there are a few tactics worth highlighting that will ensure that the economic impact analyses describing the significance of your projects and the potential economic significance of your program (or portfolios) will stand ready for review when the time comes to evaluate their contribution to the economic well-being of your service area.

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Topics: Data, Economics, Funding, Contribution Analysis, New Market Tax Credit, Methodology, "Taxes", Opportunity Zones

Things That Can Go Wrong with Mixed-Use Development Projects

Posted by Tim French on May 7, 2019

Many fail and few succeed when it comes to breaking ground on development projects as complicated as those in the mixed-use category. Some languish, some fail, and others suffer hostile take-downs. Still, there are a handful of foreseeable pitfalls which you can easily dodge while in the planning phase of a project. Here are a few of these traps that we’ve observed and how best to avoid them.

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Topics: Data, Economics, Employment, Funding, Methodology

The Many Tributaries of Big Data: Where Does U.S. Economic Data Come From?

Posted by Tim French on April 9, 2019

Economic data flows and collects from sources both varied and unique. But which sources are significant and why? And how complex does this world of big data get when it comes to trying to explore the economic landscape? Cue Ms. Frizzle’s “Seatbelts, everyone!” line and let’s take a tour of economic data sources on the Magic School Bus!

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Topics: Data, Economics, Technology, Methodology

Translating Real-World Survey Results into an Economic Impact Analysis

Posted by Tim French on March 21, 2019

Ever since the likes of IBM’s Watson, Google Trends, and Bloomberg Terminal emerged, data-driven decision making shifted from fad to fixture in the business world. But the fundamental shift that big data made in the world of research didn’t change which questions to ask, but rather how we ask those questions. Or, as Douglas Adams might say, you need to really know what you’re asking before you switch on Deep Thought.

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Topics: Data, Economics, Technology, Methodology

Why Selecting the Right Sector or Commodity Matters: Modeling with Margins

Posted by Tim French on March 6, 2019

No two sectors (or businesses) are alike. One fundamental differentiator is that some sectors make goods and some sectors distribute goods as a service. This simple but substantial distinction can significantly affect the quality or range of your results while modeling economic impacts.

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Topics: Data, Economics, Technology, Methodology

Economics of E-Scooters (Part 2): E-Scooter vs. TriMet Net Analysis

Posted by Tim French on February 26, 2019

Barely more than a year ago, e-scooters suddenly flooded city streets across the country. But their presence wasn’t always met with enthusiasm. Antagonistic cities and towns cited public health concerns, street congestion, and even harassment as cause for banning the popular short-trip transportation option altogether.

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Topics: Data, Economics, Technology, Methodology

Multi-Region Input-Output Roundup

Posted by Tim French on January 28, 2019

There are several advantages to using MRIO in place of traditional single-region input-output analysis techniques. Mainly, MRIO exposes the connections and dependencies between regional economies by allowing individual regional identities to be maintained as a part of a broader regional analysis. In IMPLAN, results are filterable so that in an MRIO analysis, the incoming trade to a region can be isolated from or aggregated to the local impacts of the larger surrounding region.

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Topics: Data, Economics, Methodology

Economic Impact Modeling Just Got a Whole Lot Smarter

Posted by Tim French on November 19, 2018

The concept of input-output analysis was theorized nearly a lifetime ago. But input-output modeling as we know it today has advanced in fits and spurts through an infancy that has lasted nearly 40 years. The latest advancement in technology and methodology is going to propel economic impact modeling into the future.

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Topics: Data, Spotlights, Economics, Technology, Methodology, announcement

Amazon HQ2: When the Losers are Winners

Posted by Tim French on November 12, 2018

After more than a year since Amazon’s deadline for RFP submissions, over 200 subsequent submissions, and a culling of 20 possible locations earlier this spring, we’ve finally (almost) got our answer—an HQ2 with one foot in Crystal City, Virginia and another in Queens, New York. And mere hours after the news broke, markets are already reacting in some rather severe (and not altogether unexpected) ways.

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Topics: Economics, Methodology

Which Southeast States Win When GE Expands?

Posted by Tim French on October 24, 2018

Demand for jet engines is taking off. Domestic airlines have relied on up-fitting or remodeling equipment originally constructed in the 1970s or later. This generation of equipment is slowly approaching its expiry. And internationally, travel tastes have changed. Airlines are one-upping each other to offer the most top-of-the-line luxury flights which are incorporating features including personal compartments with beds, full-service bars, and incredible food options.

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Topics: Data, Economics, Methodology

Why IMPLAN?

Put simply, IMPLAN is built for everyone.

With IMPLAN there are no black boxes. All of the background data used to create your personalized input-output models can be viewed and customized to reflect your Study Area. So now, what used to take economists weeks can be done in minutes. By anyone!

Reasons why IMPLAN is the best choice:

  • Easy to learn
  • Easy to use
  • Outstanding customer support
  • Instills confidence in your analyses

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