Median rent and housing prices on average fell for three largest Eagle Ford Shale MSAs

housing

Median rent rose in San Antonio from July 2014 to August 2014; it fell in both Laredo and Corpus Christi during the same span.

rent_2014_08

Median house prices for all three MSAs (metropolitan statistical areas) fell from July 2014 to August 2014.

house_2014_08

Image source: http://www.asemooni.com/news/economic-news/the-president-agreed-with-the-increase-in-housing

What is the value of the contract? Calculating the value of a partially executed business contract

In this case, the charging party, the plaintiff, alleges that that the defendant unlawfully suspended a work contract.  The plaintiffs had a $10.5 million, 3 year contract with the defendant to install and maintain machinery at a pipe manufacturing facility.

The plaintiff alleges that after the defendant unlawfully solicited and hired its key employee to come and work for the defendant, the defendant then terminated the contract.  The plaintiff further alleges that the defendant used the former employees of the plaintiff, and the confidential knowledge that they possessed, to complete the install and maintenance of the multimillion dollar pipe making machinery. The plaintiffs financial records indicated that had performed about 1/3 of the work spelled out in the business contract.

In this instance, the value of the remaining portion of the contract is calculated under two different ‘but-for’ contract breach scenarios.  The but-for scenario calculates the profits that the plaintiff would have received but-for the defendant’s alleged breach of contract.

In the first but-for scenario, the profit from the remaining portion of the business contract is calculated as the lost profit from the remaining items of spelled out in the contract.  The lost profit is determined by calculating the estimated revenue from the remaining items and subtracting the expected incremental cost associated with the performance of the contract.

In the second but-for scenario, the after-incremental expense profits are calculated based on the items that were actually installed by the vendors that the defendant utilized following the termination of the contract with the plaintiff.

Crude oil prices decreased while natural gas prices increased from July to August

prices_2014_08

Crude oil price decreased from $98.23 per barrel in July 2014 to $97.86 per barrel in August 2014. Natural gas price went up from $3.78 per million BTU (one million BTU is approximately 974 cubic feet) in July 2014 to $4.04 per million BTU in August 2014.

production_2014_07

Texas crude oil production for July 2014 was 69,573,013 barrels, down from 70,108,403 barrels reported in April 2014. Texas natural gas production was 632,494,096 Mcf (thousand cubic feet) of gas in July 2014, down from the June 2014 gas production total of 639,345,631 Mcf.

Sources: eia.gov, rrc.state.tx.us

Couch surfing: what do U.S. BLS surveys have to say about it?

According to dictionary.com:

[kouch-surf] couch surfing: sleeping on the couch or extra bed of an acquaintance when traveling or between permanent lodging places, esp. to save money.

 

Couch surfing, is an alternative way of living and traveling, especially among the young,  There are even websites, like https://www.couchsurfing.org/, dedicated to making couch surfing matches.

 

The prevalence of couch surfing can be measured to a good degree by U.S BLS Consumer Expenditure Survey data.  The table below shows the break down of who owns outright (1), owns with a mortgage (2), rents (3), stays without rent  (4), and who stays in a dorm (5).

couchsurf

 

 

The move by private employers to make salary information public

Some employers, both private and public, are moving towards making employee’s salaries public.  “Making Pay Public” by Tamara Lytle , in HR Magazine, September 2014. discusses the recent trend of employers making employee’s salaries more open.

Some employers such as, Buffer, are going so far as to not only making their salaries public, but are also providing details on the decision process by which the employee’s  salary was determined. For example, Buffer’s salary formula has set factors that take into account the employee’s job type, seniority, experience, location, and equity versus salary choice.

In the formula, engineers and designers have a base salary of $60.000 while content crafters have a base salary of $50,000.  Employees in Austin receive a $12,000 salary kicker, while employees in San Franciso receive a $22,000 salary kicker.   Buffer’s (and other’s) approach to salary is clearly a different approach from how some employers had pay discussions in the past.

A 1943 HR Manual from Disney:

 

The move by private employers to make salary information public

Some employers, both private and public, are moving towards making employee’s salaries public.  “Making Pay Public” by Tamara Lytle , in HR Magazine, September 2014. discusses the recent trend of employers making employee’s salaries more open.

Some employers such as, Buffer, are going so far as to not only making their salaries public, but are also providing details on the decision process by which the employee’s  salary was determined. For example, Buffer’s salary formula has set factors that take into account the employee’s job type, seniority, experience, location, and equity versus salary choice.

In the formula, engineers and designers have a base salary of $60.000 while content crafters have a base salary of $50,000.  Employees in Austin receive a $12,000 salary kicker, while employees in San Franciso receive a $22,000 salary kicker.   Buffer’s (and other’s) approach to salary is clearly a different approach from how some employers had pay discussions in the past.

A 1943 HR Manual from Disney:

 

Do employee tips get rolled into the regular rate of pay for OT purposes?

The short answer is:  Generally no they do not get rolled into the regular rate of pay for the purpose of calculating an employee’s overtime (OT).  However, calculating the applicable regular rate of pay to be used in calculating overtime for a tip employee is a little different from that of non-tipped employees.

To illustrate, consider the following Midwestern restaurant chain.  The manager of one of the  regions is reviewing its overtime policy for its tipped employees.

FLSA allows tipped employees to be paid less than the minimum wage. In this state, like the federal law, tipped employees are paid a minimum of $2.13 per hour. In the state employers.  Employers of tipped employees can claim a tip credit up to the difference between the cash payment requirement of $2.13 and the minimum wage of $7.25.  So in this state the employer can take a maximum tip credit of $5.12 ($7.25 – $2.13).

The restaurant pays its employees a rate less than minimum. (The employees of course continue to work at the location because of the tips that they earn as waiters and servers!) The restaurant claims a tip credit of $5.12 per hour.   In the chain, the restaurant employees retain all their tips as required by FLSA, but they do take part in a valid tip pooling arrangement with other employees (bussers and service bartenders in this case example)  who regularly receive tips.

How NOT to calculate the OT rate for its tipped employees:

Unlike its non-tipped employees, the restaurant can not simply pay its tipped employees an overtime rate equal to 1.5 times the employees hourly rate.  That is the employer can not simply pay $3.20 per hour ($2.13 x 1.5) for the employees OT.

How to calculate the OT rate for its tipped employees:

So in this example, the employee’s OT rate should by $5.76 for hours worked over 40 in a week.

Fed. Min. Wage: $7.25

OT rate: 1.5

OT Hourly Rate:  $10.88 ($7.25 x 1.5)

minus employer tip credit: $5.12 ($7.25-$2.13)

OT rate for tipped employees : $5.76

So in practice, the actual OT rate will vary by state since different states have different minimums. However, in general the calculation follows as above.

Resources:

Fact Sheet #15: Tipped Employees Under the Fair Labor Standards Act (FLSA) 

California Tipped Employees

 

Recent economic studies on recidivism

The list is not exhaustive but does provide a start for those looking into the issue of recidivism.(parts excerpted from Bad Ink, by Hartger)

Anderson, D. B., Schumacker, R. E. & Anderson, S. L. 1991. Release Characteristics and Parole Success. Journal of Offender Rehabilitation 17:133-145.

Bales, W. D. & Mears, D.P. 2008. Inmate Social Ties and the Transition to Society: Does Visitation Reduce Recidivism? Journal of Research in Crime and Delinquency 20:1 35.

Baumer, E. 1997. Levels and Predictors of Recidivism: The Malta Experience. Criminology 35(4), 601-628.

Beck, A.J., and Shipley, B.E. 1989. Recidivism of Prisoners Released in 1983. Bureau of Justice Statistics—Special Report. Washington, DC: U.S. Department of Justice.

Beck, Allen J. & Bernard E. Shipley. 1987. Recidivism of Young Parolees. Bureau of Justice Statistics—Special Report. Washington, DC: U.S. Department of Justice.

Beck, Allen J. & Bernard E. Shipley. 1997. Recidivism of Prisoners Released in 1983. Bureau of Justice Statistics—Special Report. Washington, DC: U.S. Department of Justice.

Benda, B. B. & Toombs, N. J. 2002. Two Preeminent Theoretical Models: A Proportional Hazard Rate Analysis of Recidivism. Journal of Criminal Justice 30, 217-228.

Benedict, R. W., Huff-Corzine, L., & Corzine, J. 1998. Clean Up and Go Straight: Effects of Drug Treatment on Recidivism among Felony Probationers. American Journal of Criminal Justice, 22, 169-187.

Blumstein, A., Barnett, A., & Farrington, D. 1987. Probabilistic Models of Youthful Criminal Careers. Criminology, 25, 83-107.

Carson, E.A., Sabol, W.J. 2011. Prisoners in 2011. Bureau of Justice Statistics. Washington, D.C.: U.S. Department of Justice.

Chen, K. & Shapiro, J. 2007. Do Harsher Prison Conditions Reduce Recidivism? A Discontinuity-based Approach. American Law and Economics Review, 9(1), 1-29.

Crowe, M. 2012, September 20. Are Tattoos in the Workplace Still Taboo?. USA Today.

Dooley, B., Seals, A., Skarbek, D. 2013. The Effect of Prison Gang Membership on Recidivism. Journal of Criminal Justice, 42(3), 267-275..

Drago, F., Galbiati, R. & Vertova, P. 2011. Prison Conditions and Recidivism. American Law and Economics Review, 13(1), 103-130.

Duwe, G. & Donnay, W. 2008. The Impact of Megan’s Law on Sex Offender Recidivism: The Minnesota Experience. Criminology, 46(2), 411-446.

Florida Department of Corrections (FDOC). 2013. Florida Prison Recidivism Report: Releases from 2004 to 2011. FDOC Publications.

Freeman, R. 2003. Can We Close the Revolving Door?: Recidivism vs. Employment of Ex- Offenders in the U.S. Urban Institute Reentry Roundtable.

Gainey, R.R., Payne, B.K., & O’Toole, M. 2000. The relationships between time in jail, time on electronic monitoring, and recidivism: An event history analysis of a jail based program. Justice Quarterly, 17(4), 733-752.

Gambetta, D. 2009. Codes of the Underworld: How Criminals Communicate. Princeton University Press.

Gendreau, P., Little, T., & Claire Goggin. 1996. A Meta-Analysis of the Predictors of Adult Offender Recidivism: What Works? Criminology 34: 575-607.

Gruenewald, P.J. & West, B.R. 1989. Survival Models of Recidivism Among Juvenile Delinquents. Journal of Quantitative Criminology, 5(3), 215- 229.

Hanley, D.E. & Latessa, E.J. 1997. Correlates of Recidivism: The Gender Division. Academy of Criminal Justice Sciences.

Hennessey, R. 2013, February 27. Tattoos No Longer A Kiss of Death in the Workplace. Forbes.

Hepburn, J. R. & Albonetti, C.A. 1994. Recidivism among Drug Offenders: A Survival Analysis of the Effects of Offender Characteristics, Type of Offense, and Two Types of Intervention. Journal of Quantitative Criminology 10:159-179.

Husock, H. 2012, August 3. From Prison to a Paycheck. The Wall Street Journal.

Jurik, N. C. 1983. The Economics of Female Recidivism. Criminology, 21, 603-622.

Kaufman, J. 2013, April 17. Keeping Their Art to Themselves. The New York Times.

Kilgannon, C. 2009, April 1. When Tattoos Hurt Job Prospects. The New York Times.

Kohl, R., Hoover, H.M., McDonald, S.M. & Solomon, A.L. 2008. Massachusetts Recidivism Study: A Closer Look at Releases and Returns to Prison. Urban Institute-Justice Policy Center: Washington D.C.

Kruttschnitt, C., Uggen, C., & Shelton, K. 2000. Predictors of Desistance Among Sex Offenders: The Interaction of Formal and Informal Social Controls. Justice Quarterly, 17, 61-87.

Kubrin, C.E. & Stewart, E.A. 2006. Predicting Who Reoffends: The Neglected Role of Neighborhood Context in Recidivism Studies. Criminology 44:165-197.

Langan, P.A., and Levin, D.J. 2002. Recidivism of Prisoners Released in 1994. Bureau of Justice Statistics. Washington, D.C.: Bureau of Justice Statistics.

Langan, P.A., Schmitt, E.L. & Durose, M.R. 2003. Recidivism of Sex Offenders Released from Prison in 1994. Bureau of Justice Statistics. Washington, DC: U.S. Department of Justice.

Lozano, A.T.R., Morgan, R.D., Murray, D.D., & Verghese, F. 2010. Prison Tattoos as a reflection of the Criminal Lifestyle. International Journal of Offender Therapy and Comparative Criminology 55 (4), 509-529.

Pew Center on the States. 2010. Millennials: Confident. Connected. Open to Change. Pew Center on the States.

Pia Negro, M. 2012, October 16. Baltimore Program Provides Job Support for Ex-Prisoners Coming Home. Baltimore News.

Putnins, A. 2002. Young Offenders, Tattoos and Recidivism. Psychiatry, Psychology and Law, 9(1), 62-68.

Rosenberg, T. 2012, March 28. Out of Jail, and Into a Job. The New York Times.

Spohn, C. & Holleran, D. 2002. The Effect of Imprisonment on Recidivism Rates of Felony Offenders: A Focus on Drug Offenders. Criminology 40:329-358.

Steward, Dwight, Estimating Recidivism Risk in Earnings Loss Calculations for Persons Recently Released from Incarceration (October 11, 2010). Available at SSRN: http://ssrn.com/abstract=1753285 orhttp://dx.doi.org/10.2139/ssrn.1753285

Tahmincioglu, E. 2010, February 17. Unable to get Jobs, Freed Inmates Return to Jail. NBC News.

Uggen, C. 2000. Work as a Turning Point in the Life Course of Criminals: A Duration Model of Age, Employment, and Recidivism. American Sociological Review 67, 529-546.

Visher, C.A. & Linster, R.L. 1990. A Survival Model of Pretrail Failure. Journal of Quantitative Criminology, 6(2), 153-184.

Visher, C.A., Lattimore, P.K., & Linster, R.L. 1991. Predicting the Recidivism of Serious Youthful Offenders Using Survival Models. Criminology, 29(3), 329-366.

Waters, K. 2012. The Tattooed Inmate and Recidivism. Electronic Theses, Treatises, and Dissertations. Paper 5262.

Windzio, M. 2006. Is There a Deterrent Effect of Pains of Imprisonment? The Impact of ‘Social Costs’ of First Incarceration on the Hazard Rate of Recidivism. Punishment and Society, 8(3), 341-364.

A closer look at Bad Ink: Visible Tattoos and Recidivism study by Kaitlyn Hartger

Review of Kaitlyn Hartger’s ‘Bad Ink: Visible Tattoos and Recidivism

by Dwight Steward, Ph.D.

Kaitlyn Hartger’s study ‘A closer look at Bad Ink: Visible Tattoos and Recidivism study by Kaitlyn Hartger’ is intriguing and adds quite a bit to the existing literature on recidivism and the factors related to reincarnation.

Generally, the paper uses data from  Florida Department of Corrections (FDOC) Offender Based
Information System (OBIS) to study the recidivism of inmates with and without tattoos.  Hartger goes further with her unique data set, further classifies the potential visibility of the inmates tattoo to a potential employer.

1-recid

She finds that tattoos do matter.  Having a tattoo cuts the survival rate, i.e. the likelihood of the inmate not returning to incarceration, in half.  In her data, the average inmate survives approximately 13.5 years ‘on the outside’ where as an inmate with tattoos has a survival rate of 5.8 years.  The impact is even larger for inmates with tattoos that may be potentially visible to employers.

The figure above shows the estimated impact of having a tattoo on recidivism rates.

Overall, the paper makes three main contributions.

  • The sample is more extensive than those used in most previous research
  • The use of more robust measures of visibility sheds light on which tattoo locations matter most for employment
  • Her use of a survival methodology allows for the study if both the timing of recidivism and the factors that impact recidivism

 

States raising their minimum wage in 2014

The following states raised their minimum wage in 2014:

Connecticut: Connecticut’s hourly minimum wage will increase incrementally to $10.10 over the next three years.

Delaware: Delaware’s minimum wage will increase to $8.25 an hour, effective June 1, 2015.

Hawaii: Hawaii’s minimum wage will increase to $10.10 per hour over the next four years.

Maryland: Maryland raised its minimum wage to $10.10 an hour by July 2018

Massachusetts: A new law will gradually raise the minimum wage in the state to $11 per hour by 2017,

MichiganA new law will increase the state’s minimum hourly wage to $9.25 per hour by Jan. 1, 2018

Minnesota: The state’s minimum wage increased on Aug. 1, 2014, to $8 per hour for large employers (>$500k in gross sales).  to $9.50 on Aug. 1, 2016. Beginning in 2018, the wage will be indexed to inflation to a maximum increase of 2.5 percent per year.

Rhode Island: The state’s minimum wage will increase to $9 per hour, effective Jan. 1, 2015.

Vermont: The state’s minimum wage will rise to $10.50 an hour by 2018.  After 2018, annual cost-of-living increases of either 5 percent or if it is lower, a rate calculated by the federal Department of Labor annually that is tied to the consumer price index.

West Virginia: The state’s hourly minimum wage will increase to $8 on Jan. 1, 2015, and increase to $8.75 the following Jan. 1, 2016.

Washington, D.C.: The Minimum Wage Amendment Act of 2013 will increase the district’s minimum hourly wage in three steps to $11.50 by July 1, 2016

-See more at: http://www.shrm.org/legalissues/stateandlocalresources/pages/states-minimum-wage-2014.aspx#sthash.YFK7jjgC.dpuf