the apartment rental data

1. Refer to the apartment rental data.  The data reports the monthly rent for a unit, the number of bedrooms in the unit, whether the apartment complex has security features (fenced and gated), and where the neighborhood in which the apartment is located (one of three neighborhoods indicated by 1, 2 or 3). The year variable is a code for the time period: 1 indicates data for 2015, 2 indicates data for 2018 and 3 indicates data for 2020. To receive credit for you answers to parts (b) and (d) you must report the following regression results in well-organized tables in 12 point type: identify the dependent variable, report the adjusted R2 and coefficient and standard error estimates clearly labeled with appropriate variable names. a.Report the data actually used in your regression analysis in (b) and (d) below in a table with all variables clearly labeled.
b.Use the hedonic regression method to estimate the HPI type index for apartment rents in 2015, 2018, and 2020. Show your calculations. Interpret the HPI results. c.Calculate the annualized rate of change in apartment rents for each year over the 2015-2020 period. d.Use the hedonic regression method to find the location rent indices LRI for this market and interpret the results.
2. Choose one MSA, Grand Rapids MI, to answer this question. a. Present the data you use to answer these questions in a well-organized table. The tables must be in 10 point or greater type in order to be easily read. Spreadsheet screenshots are not acceptable. b. Perform shift-share analysis for 2001-2005 and interpret the results. You must explain how you deal with undisclosed industries and show calculations to receive credit.
3. Answer any two of the following three questions. a. Almost every parent advises their young adult children that owning a house is a good hedge against inflation. While a widely held view in the general public, is it true in light of the experience of the last two decades? b.Celebration, Florida, located next to Walt Disney World near the southwestern edge of the Orlando area, is a planned community that has experienced mixed success. Single family detached residential housing neighborhoods have done well but the high-density housing (condominiums and apartments) and the downtown Celebration commercial area have been failures. Baldwin Park is a planned community developed on a decommissioned military base that lies just east of Winter Park in the Orlando area. In contrast with Celebration, both single family detached housing and high density residential neighborhoods have done well. But much like Celebration’s experience, the commercial center envisioned as the heart of Baldwin Park has struggled. Use the concepts and analytical tools from this course to explain the mixed success of these developments for the different types of housing and commercial development. Be specific about why the different types of real estate experienced different outcomes in these two developments. c.Nonfarm employment in the Orlando MSA reached a peak in 2007 and did not fully recover to that level until 2013 according to employment data reported by the Bureau of Economic Analysis. Housing prices in the Orlando-Kissimmee-Sanford MSA also reached a peak in 2007 but did not fully recover to that level until 2019 according to the FHFA purchase only HPI. The employment data indicate that the b.Use the hedonic regression method to estimate the HPI type index for apartment rents in 2015, 2018, and 2020. Show your calculations. Interpret the HPI results. c.Calculate the annualized rate of change in apartment rents for each year over the 2015-2020 period. d.Use the hedonic regression method to find the location rent indices LRI for this market and interpret the results. 2.[20 points] Choose one MSA from the three you have been assigned to answer this question. a.Present the data you use to answer these questions in a well-organized table. The tables must be in 10 point or greater type in order to be easily read. Spreadsheet screenshots are not acceptable. b.Perform shift-share analysis for 2001-2005 and interpret the results. You must explain how you deal with undisclosed industries and show calculations to receive credit. 3. Answer any two the following three questions. a. Almost every parent advises their young adult children that owning a house is a good hedge against inflation. While a widely held view in the general public, is it true in light of the experience of the last two decades? b. Celebration, Florida, located next to Walt Disney World near the southwestern edge of the Orlando area, is a planned community that has experienced mixed success. Single family detached residential housing neighborhoods have done well but the high-density housing (condominiums and apartments) and the downtown Celebration commercial area have been failures. Baldwin Park is a planned community developed on a decommissioned military base that lies just east of Winter Park in the Orlando area. In contrast with Celebration, both single family detached housing and high density residential neighborhoods have done well. But much like Celebration’s experience, the commercial center envisioned as the heart of Baldwin Park has struggled. Use the concepts and analytical tools from this course to explain the mixed success of these developments for the different types of housing and commercial development. Be specific about why the different types of real estate experienced different outcomes in these two developments. c. Nonfarm employment in the Orlando MSA reached a peak in 2007 and did not fully recover to that level until 2013 according to employment data reported by the Bureau of Economic Analysis. Housing prices in the Orlando-Kissimmee-Sanford MSA also reached a peak in 2007 but did not fully recover to that level until 2019 according to the FHFA purchase only HPI. The employment data indicate that the
demand for housing (i.e., Du in the housing market) in the MSA had recovered to the 2007 level by 2013, yet the HPI shows that prices in 2013 remained well below their 2007 level. Use the appropriate concepts and analytical tools from this course to explain why housing prices had not recovered to their previous peak when employment had in 2013.

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