Suppose that in a linear regression model hourly wages are explained as a function of gender, where the dummy variable female takes on a value of 1 if the worker is a female and 0 otherwise: SRL : wâge = 25 +2 * female Which interpretation(s) are correct for this SRL? An additional female worker increases hourly wages by 2 dollars on average. Men earn on average 25 dollars per hour. Women earn on average two dollars more per hour than men. Women are the baseline group.
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- The following equation has been used to estimate wages: ln (Y) = ln (Yo) + b2EDU + b3 EXPER + b4 EXPER2 + e where Y is income, Y0 is income of someone with no education or experience, EDU is years of education and EXPER is experience in the field. If you suspect males earn higher wages than females and that the wage difference increases with education how would you adjust the econometric model to estimate wages? OPTIONS - a. include a binary variable for gender, MALE b. include an interaction term equal to MALE* EDUC c. include an indicator variable for MALE and one for FEMALE d. include a binary variable for MALE and an interaction term equal to MALE * EDUCConsider the following model of the factors that influence a person's annual wage: Y = β0 + β1X1 + β2X2 + β3X1X2 + β4X3 + u where Y = annual wage, in dollars X1= years of formal education X2 = age, in years X3 = variable equal to 1 if male, 0 otherwise U = error term Which of the following is the interpretation of β1 alone? The effect of X1 on Y when X2 = 0 The effect of X1 on Y when X2 is at its median value. The effect of X1 on Y, holding all else equal. The effect of X1 on Y when X2 is at its mean value.Who Invented Instrumental Variables Regression?
- Suppose in our model, lifespans increased due to a productivity in- crease. What would likely happen to hours worked and leisure over the lifetime of a representative consumer. (a) Let’s consider one of two common ways of implementing this change. Suppose the increase raised both lifespans and the amount of years consumers are healthy enough to work by the same amount, how would that likely affect the measured numbered of hours work by prime aged adults within a given year? What would likely hap- pen to the retirement age? (b) Let’s consider the other way to implement it. Suppose the change in lifetimes came about changes in technology that delayed death but did not extend the amount of years consumers are healthy enough to work. What would likely happen to hours worked within a year? What would happen to the retirement age? (c) In the US, the generalized stylized fact is that the actual age of retirement is not increasing. Nor are hours worked per week. Why are both of the…Consider the possibility that government spending increases the amount of hours to be worked in a given time period, say by providing child care. Assume again that the initial amount of consumption and leisure are still just affordable after an increase in spending. How will an increase in government spending affect consumption, hours worked, output and welfare? [Hint: This exercise requires creatively reinterpreting how we apply our model to the data. Think about how we constructed the bounds on our labor/leisure model in terms of hours worked. Remem- ber our model does not have any sleep requirements built into it for instance.]Suppose a researcher is using a panel data set on n = 10,000 workers over T = 20 years (from 2000 through 2019) that contains the workers’ earnings, sex, education, and age. The researcher is interested in the effect of education on earnings. Give some examples of unobserved person-specific variables that are correlated with both education and earnings. Can you think of examples of time-specific variables that might be correlated with education and earnings? How would you control for these person-specific and time-specific effects in a panel data regression?
- What are the various functional forms of Regression Model?Consider a three-period model. Suppose w1 = 5, w2 = 7 and w3 = 6. Let r = 0.1. 1. Calculate the time discount factor. 2. What is flow utility in the second period? 3. Calculate continuation value of the first period. 4. Calculate the present discounted value of entire labor income streams.What is the ans for PURE specific and the ans for MIXED specific. Pls give explanations for the differences between these two models. (p/s this is the 3rd time I'm asking this question bcos your team did not answer my question of Pure AND Mixed but just specific factors model in general) PLEASE HELP ME THANKSSSS In the Pure Specific Factors model with two sectors, Cars (C) and Wheat (W), Capital (K) is specific to C and Land (A) is specific to W. If the government imposes a tariff on the imports of W then... In the Mixed Specific Factors model with two sectors, Cars (C) and Wheat (W), Capital (K) is specific to C and Land (A) is specific to W. If the government imposes a tariff on the imports of W then... A. Both owners of K and owners of A will benefit. B. Owners of A will benefit. C. Owners of K will benefit. D. Neither owners of K nor owners of A will benefit.
- A justification for job training programs is that they improve worker productivity. Suppose that you are asked to evaluate whethe r more job training makes workers more productive. However, rather than having data on individual workers, you have access to data on manufacturing firms in Ohio. In particular, for each firm, you have information on hours of job training per worker (training) and number of nondefective items produced per worker hour (output).(iv) If you find a positive correlation between output and training, would you have convincingly established that job training makes workers more productive? Explain.The labor market model (II): Now we add some parameters to the labor market model: labor supply: Ls = × w + labor demand: Ld = - w The parameters in this setup are , , and . (Notice that parameters are denoted with an overbar, a convention we will maintain throughout the book.) The parameter represents the number of hours workers would supply to the market even if the wage were zero; it therefore reflects the inherent amount of time people like to work. The parameter , in contrast, reflects the amount of labor the firm would like to hire if the wage were zero. It might be thought of as some inherent capacity of the firm (perhaps because the firm owns a given amount of land and capital that cannot be altered). (a) What is the economic interpretation of ? (b) What are the endogenous variables in this model? (c) Solve for the equilibrium of the labor market. That is, solve for the endogenous variables as a function of the parameters of…1. A study published in 1993 used US state panel data to investigate the relationshipbetween minimum wage and the employment of teenagers. The sample period was1977 to 1989 for all 50 states. The author estimated a model of the following type:ln(Eit) = β0 + β1ln(Mit/Wit) + γ2D2i + ... + γnD50i + δ2B2t + ... + δTB13t + uitwhere E is the employment to population ratio of teenagers, M is the nominalminimum wage, and W is average hourly earnings in manufacturing. In addition,other explanatory variables, such as the adult unemployment rate, the teenagepopulation share, and the teenage enrollment rate in school, were included.(a) Name some of the factors that might be picked up by time and state fixedeffects(b) The author decided to use eight regional dummy variables instead of the 49state dummy variables. What is the implicit assumption made by the author?Could you test for its validity? How?(c) The results, using time and region fixed effects only, were as follows:ˆ ln(EIT ) =…