"A seller listed his home for six months on February 26. On April 29, a buyer made an offer on the property. The listing broker presented the offer to the seller on April 30. The seller accepted the offer on May 1, with the closing to occur on June 15. Assuming the closing took place on June 15, when did the listing expire?

Policymakers are provided data about the private and social benefits of a good being sold in the market. quantity private mb ($) social mb ($) 6 6 9 7 4 7 8 2 5 9 0 3 what is the size of the externality? if the externality is positive, enter a positive number. if negative, make it a negative number. $ given this data, policymakers must decide whether to address the associated externality with a subsidy or a tax. as their economic consultant, which of the two policy tools would you recommend? a subsidy a tax

Norton manufacturing expects to produce 2,900 units in january and 3,600 units in february. norton budgets $20 per unit for direct materials. indirect materials are insignificant and not considered for budgeting purposes. the balance in the raw materials inventory account (all direct materials) on january 1 is $38,650. norton desires the ending balance in raw materials inventory to be 10% of the next month's direct materials needed for production. desired ending balance for february is $51,100. what is the cost of budgeted purchases of direct materials needed for january? $58,000 $65,200 $26,550 $25,150

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]