Ans :- The analysis whether states with higher banking regulation have higher unemployment rates than states with lower banking regulation.
Regressions. You are interested in analyzing whether states with higher banking regulation have higher unemployment rates...
3. Regressions. You are interested in analyzing whether states with higher banking regulation have higher unemployment rates than states with lower banking regulation. You have the following cross-sectional data on 4 states. unemployment_rate is the state's unemployment rate measured as a percent. regulation_index is a sum of dummy variables that describes the number of banking regulations implemented by the state state unemp rate ulation index 4 a) Estimate the coefficients (BoP1) of the linear model shown below using OLS and...
3. Sociology/Criminology/Economics: Records comparing unemployment rates, violent crime rates (per 100,000) and property crime rates (per 100,000) were gathered in the state of Illinois for the years 1975 - 2005 (n = 31). The correlation coefficients and regression equations are given in the scatter plots below. (a) Is there a significant linear correlation between violent crime rates and unemployment rates? (b) Is there a significant linear correlation between property crime rates and unemployment rates? (c) With respect to property crime rates, what does...
Only question 6 please, this is the model referred to in Question 6 from 5.c c) Estimate the linear model for a state's unemployment rate shown below (i.e. estimate Bo and β1) using OLS. Write the resulting regression equation. unemployment rate-β0 + β|minimum wage + ε 6. The following questions ask you to use the regression model you estimated to predict unemployment rates (ie, the model in 5.c). Use the unemployment and minimum wage data from the table above to...
5. Use the unemployment and minimum wage data above to answer this question. a) What is the predicted unemployment rate for a state with a minimum wage of 10 dollars? How does this compare to the actual unemployment rate in Colorado? If a state increases its minimum wage from 10 dollars to 15 dollars, what is the predicted change in the unemployment rate? b) c) Compute the predicted unemployment rate and the prediction error for each state. d) Compute the...
PREDICTION (REGRESSION) – Chapter 12 3. A researcher was interested in whether there was a relationship between stress and depression scores obtained from emergency health care providers. The data from 10 emergency workers are below. This is the same data you calculated a correlation on in Question 1. We are trying to use stress scores (IV or Predictor) to predict depression scores (DV or outcome). Using SPSS, calculate a linear regression model: Y = a+b1X1 where Y is Depression and...
Next, you decide to examine the relationship between patrol style and crime rates and find the following results using software. Please note that patrol style is dichotomous ( (x 1 if they use foot patrol, x 0 if they do not) - think about this as you interpret the results. %3D Coefficients Unstandardized Standardized Coefficients Coefficients Model Std. Error Beta Sig. (Constant) 35.090 3.274 10.717 .000 FootPatrol -18.860 4.630 .693 -4.073 .001 a. Dependent Variable: PropertyCrimeRate Write out this regession...
QUESTION 34 We are analyzing the effects of regime type on corruption rates with the following model: Corruption = 10 - 0.1 GDP (per capita) - 2.0Democracy where Corruption is an index of corruption, GDP (per capita) is measured in thousands of dollars, and Democracy is a dummy variable that is equal to one if a country is a democracy and 0 otherwise. What is the expected rate of corruption of a democratic country with a per capita GDP of...
4. You are interested in analyzing whether pollution affects productivity at call centers. You have a dataset that lists daily calls per worker made from call centers in different cities. The data also shows the Air Quality Index at the city on that date. The Air Quality Index is a measure of the number of particles in the air that ranges from 0 to 500. Lower levels indicate less pollution. The following lines are an extract from the full dataset:...
10. You have a data set that contains information about individuals gender, the number of children they have, their family income, and whether they are in the labor force You estimate the following linear probability model: Plaborforcel po+B1 children +B2 female +B3 (children x semale)+u a.) In terms of the model's parameters, what is the marginal effect of having an additional child on a woman's probability of being in the labor force? What is the marginal effect of having an...
1. Exercise 1. Predicting steady states and growth rates from Solow Model In this exercise, assume a, -1/3. Answer the following questions using the Solow model without population growth a) First, assuming no differences in TFP. Assume that countries are in steady state. Following the Solow model, use the data in the table to predict the ratio of per capita GDP in each country relative to that in the US. Data Data Data Countries Saving rate Model (assume A =...