Consider the following binary variable version of the fixed effects model. Each regressor Dj is a binary variable that equals 1 when i = jand 0 otherwise. Note that the binary variable D1, for the first group is arbitrarily omitted. Y = Bo + B,X + Y2 D2; + Y3 D3, +.. + YnDn, + ut Use the regression in the equation above and the tool palette to the right to answer the following questions. What is the slope and intercept for entity 3 in time period 1? The slope of entity 3 in time period 1 is B, . The intercept of entity 3 in time period 1 is Po +Y3 · (Properly format your expressions using the tools in the palette. Hover over tools to see keyboard shortcuts. E.g., a subscript can be created with the character.) What is the slope and intercept for entity 2 in time period 2? The slope of entity 2 in time period 2 is The intercept of entity 2 in time period 2 is

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What is the slope and intercept for entity 2 and time period 2?

Consider the following binary variable version of the fixed effects model. Each regressor \( D_j \) is a binary variable that equals 1 when \( i = j \) and 0 otherwise. Note that the binary variable \( D_1 \) for the first group is arbitrarily omitted.

\[ Y_{it} = \beta_0 + \beta_1 X_{it} + \gamma_2 D_{2i} + \gamma_3 D_{3i} + \ldots + \gamma_n D_{ni} + u_{it} \]

Use the regression in the equation above and the tool palette to the right to answer the following questions.

What is the slope and intercept for entity 3 in time period 1?

- The slope of entity 3 in time period 1 is \( \beta_1 \).
- The intercept of entity 3 in time period 1 is \( \beta_0 + \gamma_3 \).

*(Properly format your expressions using the tools in the palette. Hover over tools to see keyboard shortcuts. E.g., a subscript can be created with the _ character.)*

What is the slope and intercept for entity 2 in time period 2?

- The slope of entity 2 in time period 2 is \([ \text{Blank for input} ]\).
- The intercept of entity 2 in time period 2 is \([ \text{Blank for input} ]\).
Transcribed Image Text:Consider the following binary variable version of the fixed effects model. Each regressor \( D_j \) is a binary variable that equals 1 when \( i = j \) and 0 otherwise. Note that the binary variable \( D_1 \) for the first group is arbitrarily omitted. \[ Y_{it} = \beta_0 + \beta_1 X_{it} + \gamma_2 D_{2i} + \gamma_3 D_{3i} + \ldots + \gamma_n D_{ni} + u_{it} \] Use the regression in the equation above and the tool palette to the right to answer the following questions. What is the slope and intercept for entity 3 in time period 1? - The slope of entity 3 in time period 1 is \( \beta_1 \). - The intercept of entity 3 in time period 1 is \( \beta_0 + \gamma_3 \). *(Properly format your expressions using the tools in the palette. Hover over tools to see keyboard shortcuts. E.g., a subscript can be created with the _ character.)* What is the slope and intercept for entity 2 in time period 2? - The slope of entity 2 in time period 2 is \([ \text{Blank for input} ]\). - The intercept of entity 2 in time period 2 is \([ \text{Blank for input} ]\).
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