Interpreting regression results

Assignment Help Econometrics
Reference no: EM1376362

How do you interpret the effect of immigrant status on wages (when the model is Log wages regressed on immigrant dummy, and an immigrant dummy interaction)

Here are the important numbers

Immigrant -.095411Coefficient .0134239 SE

Immigrant Interaction .0851195 COEF .0352153 SE

 

Reference no: EM1376362

Questions Cloud

Compute the elasticity variable : Compute the elasticity for each variable and briefly comment on what that data gives you in each case.
Use of dummy variable in regression analysis : Determine which of the following is a test of the statistical signficiance of the entire regression equation?
Forecasting methods or techniques : When the more current observations are more relevant to estimate of next period than previous observations, the naive forecasting method to employ is
Graphically show the production possibilities frontier : Graphically demonstrate the production possibilities frontier for nation of Stromboli, using information given in the following table.
Interpreting regression results : How do you interpret the effect of immigrant status on wages when the model is Log wages regressed on immigrant dummy, and an immigrant dummy interaction
Determine the linear trend : The given information is the quarterly sales of gasoline in the U.S. in millions of barrels during part of the 1980s and the 1990s. Determine the linear trend and use it to forecast sales for first quarter of 1992.
Question about heteroskedasticity : Estimating equation through a correcting factor to correct heteroskedasticity may cause extra correlation to enter the model, which increase the R^2.
Rational component of gender wage gap : There is a big gap in the earnings of married women and married men, even if individuals of both sex have the same level of education.
Estimate an index model running regression : Think the single-index model. The alpha of a stock is 0 percent. The expected return on the market is 12 percent. The risk-free rate of return is 6 percent.

Reviews

Write a Review

Econometrics Questions & Answers

  Regression analysis question

Regression analysis was used to estimate the given seasonal forecasting equation, D1 is a variable that is equal to one in 1st quarter and zero otherwise;

  Salary of manager in competing firms

You are attending the yearly shareholder's meeting of PIC firm. A fellow stockholder points out that manager of PIC received $100,000 last year, while the manager of a rival company, CUP Enterprises, earned only $50,000.

  Interpretation for the regression coefficient

Chez Henri is a restaurant chain that operates in forty different cities. It employed an economist to determine the factors affecting the demand for its sales.

  Find the expected level of sales

Director of marketing at Vanguard Company believes that sales of the corporation's Bright Side laundry detergent (S) are related to Vanguard's own advertising expenditure,

  Estimating demand

When testing whether each of independent variables in a multiple regression equation is statistically significant in describing variations in the dependent variable,

  Question about multiple regression

Assume that when using the multiple regression in the formula Y = b1X1 and b2X2 + E that X1 represents wages and X2 represents transportation expenses?

  Increases in real gdp per capita

Economic growth, as examined through raise in real GDP per capita, is a target for most countries. This is often interpreted as an raise in economic welfare for citizens.

  Concentration rate and the herfindahl-hirschman index

If a corporation operates in a highly competitive industry and competes against many other companies. In the last some years, many new companies have entered the industry and firm now earns a return on investment very close to prevailing interest rat..

  Explanation of multiple regression

A company's marketing dept. obtained information from 10 of the firm's outlets. The information consists of the qty. and price of the products sold at each outlet from the distribution center.

  Finding the probability

An ice cream vendor sells three flavors: chocolate, strawberry, and vanilla. 45% of the sales are chocolate, while 30% are strawberry, with the rest vanilla flavored.

  Write the t statistic for testing the null hypothesis

Explain why this model violates the assumption of no perfect collinearity.  Write the t statistic for testing the null hypothesis

  Regression equation for determining market value of houses

Following is a multiple regression in which dependent variable is market value of houses and independent variables are the age of the house and square footage of the house.

Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd