It’s that time again! Our data team here at IMPLAN works tirelessly to ensure that IMPLAN can offer the most comprehensive wage and salary dataset possible. Thanks to their efforts, the 2018 Census of Employment and Wages (CEW) dataset is complete and now available. Because of the level of detail and historic data available, the CEW data is perfect for establishing trends and running statistical analyses.
Local events that bring communities together for holidays or regional celebrations often become annual traditions deeply intertwined with an area’s identity. In recent years, however, some localities have halted events like holiday parades, block parties, and July Fourth fireworks due to increasing regulations and rising costs. The immediate savings are beneficial. However, the significant, positive effects these events have on local economies are being lost in the process. While few studies exist regarding the impact of non-tourist, community events on economies, the framework exists to reliably analyze their effects. Before jumping into the event analysis methodology however, there are several factors to assess.
The terms “economic impact” and “economic contribution” are often used interchangeably. However, the results they provide differ significantly. Impact analyses predict economic shifts based on change in an industry. Contribution analyses model the effects supported by an existing business or industry in a defined area. Industry contribution analyses are particularly important to groups like trade organizations or businesses that would like to determine their overall economic contribution at their current production rate.
Contribution analysis is a modeling method used to estimate the value of a sector or group of sectors in a region at their current levels of production. Naturally, it is a valuable and useful tool for groups like industry associations and government entities that are evaluating the value of an industry to their community.
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.
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.
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!
The explosion of social media is a gold mine, especially for Economic Development Corporation’s (EDCs).
Why, you ask?
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.
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.