Fireplace The summary statistics for the studies included in the fireplace meta regression are given in Table 8a. Thirty-five studies are included and the average coefficient for fireplace is 0.0893 with an average t statistic of 8.01. These studies measure fireplace as a binary variable with a value of one if the house has a fireplace(s). About 17 percent of the studies use data from the West with one-third of the studies coming from the Midwest. Twenty-six percent use data from the Southeast with 11 percent from the Southwest and 11 percent from the Northeast. The median household income is $28,885. Sixty-three percent of the studies use MLS data while 34 percent and three percent use Assessor and AHS data, respectively. Seventy-eight percent of the studies control for square footage. The average hedonic model contains 28 variables. Table 8b shows the results for the fireplace meta regression. The fireplace coefficient is not sensitive to geographic location, time, or income. Using Assessor data does produce significantly higher fireplace coefficients. This could be a function of errors in fireplace data measurement. Controlling for square footage and model size does not affect the fireplace coefficient. 23 Overall results: the fireplace coefficient in hedonic pricing models is not affected by geographical location, time, or income but is affected by the type of data used in the hedonic model.
我喜欢fire place，装修地下室的时候又装了个烧propane gas，具体价钱不是太清楚，估计$5000？
你要装要看装那种了
那天花板得有多高…我都没见过壁炉上面还能放大电视的，我家75寸的就放壁炉前面
璧炉上面要多丑，才需要一个电视去cover？好看壁炉，是烧火地方的上面也好看，怎么可能cover了。
电视不可以放在壁炉上的。高度不对，
不用太高，标准10尺即可。电视要向下 tilt.
壁炉不能老式，要现代狭长，设计时要在图纸画好壁炉和电视以确定比例。75”毫无压力。
在NJ南部呢 华人数量还可以的学区
壁炉上放大电视简直是匪夷所思
华人大多不用，不封起来就不错了
不清楚哎，我们北加真的不需要，纯装饰
浴缸还是件档次的吧，可以泡澡，我好想有一个
这...我家壁炉上专门有放电视的一个凹槽。
8.93%.
Fireplace The summary statistics for the studies included in the fireplace meta regression are given in Table 8a. Thirty-five studies are included and the average coefficient for fireplace is 0.0893 with an average t statistic of 8.01. These studies measure fireplace as a binary variable with a value of one if the house has a fireplace(s). About 17 percent of the studies use data from the West with one-third of the studies coming from the Midwest. Twenty-six percent use data from the Southeast with 11 percent from the Southwest and 11 percent from the Northeast. The median household income is $28,885. Sixty-three percent of the studies use MLS data while 34 percent and three percent use Assessor and AHS data, respectively. Seventy-eight percent of the studies control for square footage. The average hedonic model contains 28 variables. Table 8b shows the results for the fireplace meta regression. The fireplace coefficient is not sensitive to geographic location, time, or income. Using Assessor data does produce significantly higher fireplace coefficients. This could be a function of errors in fireplace data measurement. Controlling for square footage and model size does not affect the fireplace coefficient. 23 Overall results: the fireplace coefficient in hedonic pricing models is not affected by geographical location, time, or income but is affected by the type of data used in the hedonic model.
我们喜欢，主要是壁炉一般在厅里最显著的位置，电视放其他位置不好看。