01-03-2014, 08:11 PM
Location: Chester County, PA
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Quote:
Originally Posted by
spencgr
I hate to tell you but every single one of those articles is about the government shutdown, not about the closure of the federal government in the DC metro area for a weather related incident. Even assuming the numbers in those articles are accurate for a government shutdown, I don't see how they directly apply to the closure for a weather related incident. First of all, the government shutdown was of the entire federal government, not just the federal government offices located in the DC metro area. Last I checked the majority of federal employees are not even employed in DC, Maryland, or Virginia, let alone the DC metro area (see pg. 7 here
http://www.opm.gov/policy-data-overs...nment/ccog.pdf ).
A government shutdown is also a very different beast. Projects and deadlines are delayed, oftentimes significantly, resulting in lost productivity that cannot be recaptured. A one day closure for weather does not have the same effect. A government shutdown also results in lower workforce morale, which further decreases productivity. A one-day snow closure does not - in fact, one might argue that it provides a boost to employee morale resulting in increased productivity when the employees return. Not to mention the fact that when there is a day of weather like this, since many employees do telework or take leave, many meetings and work that otherwise would have occurred does not. Opening the buildings for the employees that do come in costs money that might not otherwise have to be spent if the government simply closed - potentially some minor savings in costs.
I won't dispute that something is lost if you close all federal offices in the DC metro area, but I think $300 million is a gross exaggeration and I don't see how articles about the 2 week + government shutdown really support what you're saying. Perhaps you can enlighten us.
Last edited by airjay75; 01-03-2014 at 09:16 PM ..
01-03-2014, 08:31 PM
Location: Chester County, PA
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Originally Posted by
spencgr
But there has to be a point where it goes from the "occasional snow day" to where you feel it is meaningful. Two snow days, five, sixteen? If sixteen are meaningful, one has to be, too.
I think this question is off point for several reasons.
One, we're not talking about consecutive snow days the same way we would have in a government shutdown. I would argue that much less productivity is lost by an employee from multiple 1-day closures spread out over the entire winter season than from the same number of consecutive days. As Carlingtonian compared to a sick day, it isn't hard to pick back up with your work if one day of work was simply cancelled. You simply get back to work the next day and get going again. In fact, if you were facing a deadline, you might even end up increasing your level of productivity the next day you return to work. With say a 2-week shutdown, it's much different. Being away from your work for that period of time can set back projects by much more than the 2-weeks. It can take much more time to get back into your work when you return because you have not been mentally focused on it for a more prolonged period of time. If you're working with others, you may have to take additional time to coordinate with them and their schedules. There may have been other projects you were supposed to be working on by that time and you will have to take time to figure out which project is now going to have priority.
Two, we're not talking about a climate, on average, where we get more than a handful of snowstorms per year - what I would define is occasional. I don't think we need to be thinking about the cost of 16 snow days per year when, on average, we aren't going to get anywhere close to that given the climate of this area.
01-03-2014, 08:39 PM
Location: Chester County, PA
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Originally Posted by
spencgr
How many private companies closed down today due to the weather?
Again, I don't think this is really a relevant question. The benefit to the federal government closing in the metro DC area, in my opinion, is that it takes a significant number of people off the roads. What private employer in this area could do the same thing by keeping their employees home? I suppose if enough of the private employers in this area banded together in the name of public safety, they would be able to match the size of the federal workforce in this area, but I don't see that happening. And, really, that is not the job of the private sector, that is, to serve the greater public good. On the other hand, I would argue that is the job of the public sector. By closing down and keeping a sizable number of people off of the roads, I would argue they are serving the public interest. Of course, they would also be serving the public while they're at work, in my opinion at least - I also greatly value the work done by the federal government.
I'll just add that I don't feel strongly that the government should have closed today or that it should have closed the last time in December. Both snow storms were relatively minor and I don't know that the benefit to be had for public safety outweighed the lost work and productivity - you can't really prove what would have happened had the government done the opposite of what it did. But, I also don't think it is a bad call to close down the federal government for weather like we had today. There is a potential benefit to be had to public safety, at least in my opinion - as I understand your earlier post, you seem to think that absent me providing empirical data, you don't think the percentage of drivers involved in accidents with injuries and fatalities increases when there is snow and/or ice on the roads. Combined with the fact that I don't believe that the cost of occasional 1-day closures is as great as you seem to think it is, I don't have a problem with the government closing on a day like today. I'm also fine with it staying open and providing unscheduled telework/leave like they did today, but I don't see it being a clear cut bad decision for OPM to make.
Last edited by airjay75; 01-03-2014 at 09:20 PM ..
01-04-2014, 04:00 AM
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Quote:
Originally Posted by
airjay75
Again, I don't think this is really a relevant question. The benefit to the federal government closing in the metro DC area, in my opinion, is that it takes a significant number of people off the roads.
The same can be achieved by asking people to work from home. Most can, thus reducing the amount of people on the roads.
01-04-2014, 04:12 AM
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Quote:
Originally Posted by
airjay75
I hate to tell you but every single one of those articles is about the government shutdown, not about the closure of the federal government in the DC metro area for a weather related incident. Even assuming the numbers in those articles are accurate for a government shutdown, I don't see how they directly apply to the closure for a weather related incident. First of all, the government shutdown was of the entire federal government, not just the federal government offices located in the DC metro area. Last I checked the majority of federal employees are not even employed in DC, Maryland, or Virginia, let alone the DC metro area (see pg. 7 here
http://www.opm.gov/policy-data-overs...nment/ccog.pdf ).
A government shutdown is also a very different beast. Projects and deadlines are delayed, oftentimes significantly, resulting in lost productivity that cannot be recaptured. A one day closure for weather does not have the same effect. A government shutdown also results in lower workforce morale, which further decreases productivity. A one-day snow closure does not - in fact, one might argue that it provides a boost to employee morale resulting in increased productivity when the employees return. Not to mention the fact that when there is a day of weather like this, since many employees do telework or take leave, many meetings and work that otherwise would have occurred does not. Opening the buildings for the employees that do come in costs money that might not otherwise have to be spent if the government simply closed - potentially some minor savings in costs.
I won't dispute that something is lost if you close all federal offices in the DC metro area, but I think $300 million is a gross exaggeration and I don't see how articles about the 2 week + government shutdown really support what you're saying. Perhaps you can enlighten us.
Fair point. I stand corrected and will use the data you provided to say shutting down the government in the DC area costs the taxpayer around 87 Million per per day. It is still a huge number to swallow as a taxpayer, when the "liberal leave" policy essentially solves the same problem.
(average salary = $80K, 285,000 federal workers in this CBSA)
01-04-2014, 07:14 AM
Location: Chester County, PA
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Quote:
Originally Posted by
spencgr
The same can be achieved by asking people to work from home. Most can, thus reducing the amount of people on the roads.
I'm not sure if this is true. According to the 2012 Status of Telework in the Federal Government Report to Congress (
http://www.telework.gov/reports_and_...workreport.pdf ), only about 32% of federal employees are actually deemed eligible for telework and only about 7% of federal employees actually have telework agreements in place. I wouldn't be surprised if percentages are higher among federal employees in the DC metro area, but I don't know that we get to 50% of employees eligible and able to telework. If you add in those employees who would take leave if they can't telework on a snow day, we might well get to 50% of federal employees staying home, but you are still not achieving the same effect as you would if you did a full closure.
Quote:
Originally Posted by
spencgr
Fair point. I stand corrected and will use the data you provided to say shutting down the government in the DC area costs the taxpayer around 87 Million per per day. It is still a huge number to swallow as a taxpayer, when the "liberal leave" policy essentially solves the same problem.
(average salary = $80K, 285,000 federal workers in this CBSA)
For reasons I have already stated, I don't think you can just take the salary for 1 day and multiply by the number of employees to measure the cost of a closure. If we did that for the government shutdown based on the numbers in that OPM document I posted earlier, you would get a 1-day cost of a nationwide government shutdown to be around $617 million. Of course, you have to adjust for those who report to work even when there is a shutdown or closure, but, regardless, I don't think that is the best way to measure the cost of a closure or shutdown.
To me, the key measure is lost productivity - over the long-run, how much work that otherwise would have gotten performed does not end up getting performed as a result of a closure. For sporadic 1-day weather closures, I would argue that it is a minimal amount of lost productivity for that 1-day. Measured over the course of a year, I would doubt that it has a meaningful effect on the productivity of most employees. For consecutive days, I would argue that the more days that you have a closure, there is an exponential effect on the lost productivity, i.e., the more days in a row the government is closed, each day increases the cost by a greater amount than the previous day. When you get to something like a 2 week government shutdown, I think the amount of lost productivity is quite significant.
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Geographical mobility - Same house 1 year ago (%)
Geographical mobility - Moved within same county (%)
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Place of birth - Born in state of residence (%)
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Place of birth - Native, outside of US (%)
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Housing units in structures - 1, detached (%)
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Housing units in structures - 20 to 49 (%)
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People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)