Showing posts with label ACS. Show all posts
Showing posts with label ACS. Show all posts

Tuesday, November 3, 2015

AWARD | Statistical Beaver 2015–ACS

CityEconomist has decided to give its 2015 Statistical Beaver Award to the U.S. Census Bureau for releasing their 2010-2014 American Community Survey (ACS) 5-year estimates one  week early.

In the statistical arena, the huge advances that have been made in communications technology have not made much of a dent in the reporting speed of many government statistics.

However, lags in release of routine government data make it harder to control access. Some innocent-looking numbers have great value in the private sector to those who get them before the general public.

In the case of the many monthly numbers, they are handed on to Federal agencies routinely by each state. State statistical agencies collect data against national standards. As years go by, it stands to reason that delays could be reduced.

It is encouraging when statistical agencies voluntarily move up the date of release of their data. In this case, users will have more time to analyze the new information before they leave for their holidays.

Here is the Census Bureau announcement that gave rise to the CityEconomist Statistical Beaver Award.
Release Date for 2010-2014 ACS 5-year Estimates  The 2010-2014 ACS 5-year estimates are now planned for release on Thursday, December 3, 2015, a week earlier than the initially planned date of Thursday, December 10, 2015. You can access the complete 2014 Release Schedule on our website. The 2010-2014 ACS 5-year estimates will be available for all geographic areas including census tracts, ZIP Code Tabulation Areas (ZCTAs), and block groups. For the first time, users will be able to compare two non-overlapping 5-year datasets (2005-2009 and 2010-2014).  Embargo subscribers will have access to these statistics beginning Tuesday, December 1. A pre-release webinar is scheduled for Monday, November 30 from 1:00-2:00 PM.  Information on how to log-in will be added to the Events. The ACS provides reliable statistics that are used to make informed decisions about the future. These statistics are required by all levels of government to manage or evaluate a wide range of programs, but are also useful for research, business, education, journalism, and advocacy. If you have questions about this survey, please call our Customer Services Center on 1 (800) 923-8282. Thank you,
American Community Survey Office
U.S. Census Bureau

Thursday, February 7, 2013

IBO | Uses PUMS Data to Clarify NYC Job Trends

This is a good news story for people who care about trends in jobs and unemployment in the nation, state, and city.

The Independent Budget Office has used the American Community Survey to create a new household employment and unemployment series. The ACS is a new (since 2005) data collection program of the Census Bureau that uses a sample of 250,000 U.S. households to generate more frequent data on demographic and other trends between decennial Censuses. The IBO unveiled the new series in its February 2013 Fiscal Brief (http://www.ibo.nyc.ny.us/iboreports/febacsemployment2013.pdf).

This development is welcome because for decades the household employment numbers (based on a monthly sample of 70,000+ households nationwide) have been less consistent than the payroll jobs numbers, which are based on a much broader base of unemployment insurance filings monitored by the labor departments of every state and collected by the Bureau of Labor Statistics.

The divergence between the two numbers sets up a controversy as to which number to believe. On Long Island last year, an unsuccessful challenger to Rep. Tim Bishop (NY-1) sent out expensive mailings misusing the household survey to argue that if 100,000 more people were unemployed, it meant there were 100,000 fewer jobs. In fact, payrolls were rising during the period. The increase in unemployment meant that a handful of people were reporting that they had decided to look for work, and their response was inappropriately extrapolated and mis-characterized.

Two points to bear in mind, to avoid misusing the unemployment numbers, are: (1) They are based on a tiny sample when used for regional analysis as small as a Congressional District, and (2) They represent a sub-sample of people who are self-declared as looking for work.

In New York City, for example, if the sample of households is 1,500 and we are measuring the number of unemployed, and there are two people per household, an unemployment rate of 9 percent means that the 1,500 telephone respondents are reporting to the Census Bureau (acting for the BLS) that 270 people out of 3,000 have recently been looking for work. That's a tiny number of people on which to base a widely watched number. The unemployment rate can jump around as people in the responding households stop looking one month and start looking again the next month.

The fluctuations could feed on themselves, as a small change in the rate is reflected in headlines of New York City newspapers (or, on Long Island, Newsday) and create a false sense that the job market is getting better or worse. The fluctuations in an area could simply reflect changes in the weather. The BLS has tried to adjust the numbers to reduce the volatility, but that create a whole new set of problems, as real turning points are assumed to be noise.

So it's a real help that the IBO has identified another source of information as a benchmark for checking on the household survey, the Public Use Microdata Sample (PUMS) of 250,000 households that is used for the American Community Survey. This sample is rich in demographic data and being larger is more reliable, especially for use at the local level.  The data go down to the PUMA,  a local geographic area, which in New York City are the 50+ Community Districts overseen by Community Boards in each borough and are roughly equivalent in size to a Council Member district, although the political districts are not coterminous with electoral districts.

The IBO has already used the PUMS data to analyze traffic congestion, finding that 1.9 million people commute into the New York City congestion zone to work and of the commuters by car, more than one-fourth are from New Jersey and nearly 10 percent are from Bergen County alone (see http://www.ibo.nyc.ny.us/newsfax/insidethebudget154.pdf).

The bottom line of the new ACS-based series is that the recent extrapolated changes in employment runs between the payroll numbers and the household numbers. This suggests that the high BLS numbers for unemployed New Yorkers, despite strong growth in payrolls, are measuring something real. Several theories about what has been happening that have been widely promulgated - such as an increase in commuters - are shot down by the Microdata numbers. The persistently high unemployment rate in New York City is confirmed as real, and the IBO explanation is simply that as the economy is growing, more people look for work, thereby growing the labor force available for hire. Nothing new about that.

What is new is that we have another movie camera with which to follow these trends. Thank you, IBO.