(1) . | (2) . | (3) . | (4) . | (5) . | (6) . | (7) . | (8) . | |
---|---|---|---|---|---|---|---|---|
. | . | |||||||
Price of individual product (log) . | Product not available (dummy) . | |||||||
Ln Remoteness | 0.119 | 0.112 | 0.122 | 0.105 | 0.100 | 0.116 | ||
(0.032) | (0.036) | (0.034) | (0.061) | (0.065) | (0.061) | |||
Ln Population | 0.040 | 0.044 | 0.039 | 0.038 | −0.072 | −0.068 | −0.072 | −0.075 |
(0.004) | (0.005) | (0.004) | (0.005) | (0.007) | (0.009) | (0.007) | (0.008) | |
Ln per cap. inc. | −0.025 | −0.022 | ||||||
(0.022) | (0.032) | |||||||
Ln pop-weighted | 0.041 | 0.058 | ||||||
remoteness | (0.026) | (0.044) | ||||||
Addis | Yes | Yes | No | Yes | Yes | Yes | Yes | No |
Observations | 28,183 | 28,183 | 28,183 | 27,810 | 42,506 | 42,506 | 42,506 | 42,105 |
R-squared | 0.03 | 0.03 | 0.02 | 0.03 | 0.06 | 0.06 | 0.06 | 0.06 |
(1) . | (2) . | (3) . | (4) . | (5) . | (6) . | (7) . | (8) . | |
---|---|---|---|---|---|---|---|---|
. | . | |||||||
Price of individual product (log) . | Product not available (dummy) . | |||||||
Ln Remoteness | 0.119 | 0.112 | 0.122 | 0.105 | 0.100 | 0.116 | ||
(0.032) | (0.036) | (0.034) | (0.061) | (0.065) | (0.061) | |||
Ln Population | 0.040 | 0.044 | 0.039 | 0.038 | −0.072 | −0.068 | −0.072 | −0.075 |
(0.004) | (0.005) | (0.004) | (0.005) | (0.007) | (0.009) | (0.007) | (0.008) | |
Ln per cap. inc. | −0.025 | −0.022 | ||||||
(0.022) | (0.032) | |||||||
Ln pop-weighted | 0.041 | 0.058 | ||||||
remoteness | (0.026) | (0.044) | ||||||
Addis | Yes | Yes | No | Yes | Yes | Yes | Yes | No |
Observations | 28,183 | 28,183 | 28,183 | 27,810 | 42,506 | 42,506 | 42,506 | 42,105 |
R-squared | 0.03 | 0.03 | 0.02 | 0.03 | 0.06 | 0.06 | 0.06 | 0.06 |
Notes: The dependent variables are the log price (columns (1)–(5)) and a dummy equal to 1 if the product is unavailable (columns (6)–(10)). These dependent variables are defined in the dimension. Standard errors account for spatial autocorrelation within a 50 km radius around cities using the spatial HAC procedure. , , and , respectively, denote significance at the 1 per cent, 5 per cent, and 10 per cent levels.
(1) . | (2) . | (3) . | (4) . | (5) . | (6) . | (7) . | (8) . | |
---|---|---|---|---|---|---|---|---|
. | . | |||||||
Price of individual product (log) . | Product not available (dummy) . | |||||||
Ln Remoteness | 0.119 | 0.112 | 0.122 | 0.105 | 0.100 | 0.116 | ||
(0.032) | (0.036) | (0.034) | (0.061) | (0.065) | (0.061) | |||
Ln Population | 0.040 | 0.044 | 0.039 | 0.038 | −0.072 | −0.068 | −0.072 | −0.075 |
(0.004) | (0.005) | (0.004) | (0.005) | (0.007) | (0.009) | (0.007) | (0.008) | |
Ln per cap. inc. | −0.025 | −0.022 | ||||||
(0.022) | (0.032) | |||||||
Ln pop-weighted | 0.041 | 0.058 | ||||||
remoteness | (0.026) | (0.044) | ||||||
Addis | Yes | Yes | No | Yes | Yes | Yes | Yes | No |
Observations | 28,183 | 28,183 | 28,183 | 27,810 | 42,506 | 42,506 | 42,506 | 42,105 |
R-squared | 0.03 | 0.03 | 0.02 | 0.03 | 0.06 | 0.06 | 0.06 | 0.06 |
(1) . | (2) . | (3) . | (4) . | (5) . | (6) . | (7) . | (8) . | |
---|---|---|---|---|---|---|---|---|
. | . | |||||||
Price of individual product (log) . | Product not available (dummy) . | |||||||
Ln Remoteness | 0.119 | 0.112 | 0.122 | 0.105 | 0.100 | 0.116 | ||
(0.032) | (0.036) | (0.034) | (0.061) | (0.065) | (0.061) | |||
Ln Population | 0.040 | 0.044 | 0.039 | 0.038 | −0.072 | −0.068 | −0.072 | −0.075 |
(0.004) | (0.005) | (0.004) | (0.005) | (0.007) | (0.009) | (0.007) | (0.008) | |
Ln per cap. inc. | −0.025 | −0.022 | ||||||
(0.022) | (0.032) | |||||||
Ln pop-weighted | 0.041 | 0.058 | ||||||
remoteness | (0.026) | (0.044) | ||||||
Addis | Yes | Yes | No | Yes | Yes | Yes | Yes | No |
Observations | 28,183 | 28,183 | 28,183 | 27,810 | 42,506 | 42,506 | 42,506 | 42,105 |
R-squared | 0.03 | 0.03 | 0.02 | 0.03 | 0.06 | 0.06 | 0.06 | 0.06 |
Notes: The dependent variables are the log price (columns (1)–(5)) and a dummy equal to 1 if the product is unavailable (columns (6)–(10)). These dependent variables are defined in the dimension. Standard errors account for spatial autocorrelation within a 50 km radius around cities using the spatial HAC procedure. , , and , respectively, denote significance at the 1 per cent, 5 per cent, and 10 per cent levels.
This PDF is available to Subscribers Only
View Article Abstract & Purchase OptionsFor full access to this pdf, sign in to an existing account, or purchase an annual subscription.