1,720,984 research outputs found
State Economic and Government Finance Data
No full textState economic and state government finance data, including data on the professionalization of state legislatures. This is an update to Klarner, Carl, 2013, "State Economic Data", http://hdl.handle.net/1902.1/20404, Harvard Dataverse, V1, published February 25, 2013, which contained the file State_Econ_Quarterly2012_09_06.xlsx. The title of this edition has been altered to better reflect the contents of the dataset. State economic variables include 1) personal income (annual 1929-2014, quarterly; 1948q1-2015q1), 2) disposable income (annual 1948-2014), 3) gross state product (annual 1963-2014), 4) unemployment (annual 1960-2014, quarterly 1975q1-2015q3). Quarterly data for all the above variables was also imputed from annual data when not available. State government finance variables include total revenue, total revenue minus federal intergovernmental transfers, general revenue, multiple tax categories, total expenditure, general expenditure, budget surplus / deficit, debt at end of fiscal year, and spending on the state legislature. The following calculations were made for state government finance data: 1) deflated by consumer price index (both national and regional), and computed as per capita, 2) deflated by state income, 3) deflated by gross state product, 4) differenced from last fiscal year, and 5) computed as percent changes from last fiscal year
State Economic and Government Finance Data
No full textState economic and state government finance data, including data on the professionalization of state legislatures. This is an update to Klarner, Carl, 2013, "State Economic Data", http://hdl.handle.net/1902.1/20404, Harvard Dataverse, V1, published February 25, 2013, which contained the file State_Econ_Quarterly2012_09_06.xlsx. The title of this edition has been altered to better reflect the contents of the dataset. State economic variables include 1) personal income (annual 1929-2014, quarterly; 1948q1-2015q1), 2) disposable income (annual 1948-2014), 3) gross state product (annual 1963-2014), 4) unemployment (annual 1960-2014, quarterly 1975q1-2015q3). Quarterly data for all the above variables was also imputed from annual data when not available. State government finance variables include total revenue, total revenue minus federal intergovernmental transfers, general revenue, multiple tax categories, total expenditure, general expenditure, budget surplus / deficit, debt at end of fiscal year, and spending on the state legislature. The following calculations were made for state government finance data: 1) deflated by consumer price index (both national and regional), and computed as per capita, 2) deflated by state income, 3) deflated by gross state product, 4) differenced from last fiscal year, and 5) computed as percent changes from last fiscal year
Replication Data for "Revisiting Majority-Minority Districts and Black Representation"
No full textReplication dataset for "Revisiting Majority-Minority Districts and Black Representation" by William D. Hicks, Carl E. Klarner, Seth C. McKee, and Daniel A. Smith. 2018.
Political Research Quarterly. 71(June):408-423
State Legislative Election Returns, 1967-2016
No full textDataset contains state legislative general election returns from 1967 through 2016 for all 50 states. There are 378,345 observations, each of which represents an individual candidate. The years 1967 to 2010 contained in the last edition of the dataset have been extensively cleaned, and 2011 to 2016 has been added.
If you identify errors, please alert Carl Klarner ([email protected])
State Legislative Election Returns, 1967-2016: Restructured For Use
No full textRestructures the State Legislative Election Returns (1967-2016) dataset so that the contest is the unit of analysis. The code that restructures the dataset is provided and a one hour video giving an overview of what the code does can be found at klarnerpolitics.org
Replication Data for "Revisiting Majority-Minority Districts and Black Representation"
No full textReplication dataset for "Revisiting Majority-Minority Districts and Black Representation" by William D. Hicks, Carl E. Klarner, Seth C. McKee, and Daniel A. Smith. 2018.
Political Research Quarterly. 71(June):408-423
Replication Data for October 30, 2018 State Legislative Election Forecasts
No full textReplications files for the state legislative election forecasts made on October 30, 2018.
The do file 101code20181030 has almost all the code that restructures SLERs, merges in other variables, runs the missing data imputation, runs the model that makes the point predictions, and does the simulations. The files with prefixes 122 and 127 also have some code. Every other file with a prefix larger than 101 is created by the code from the files with prefixes of 012 or lower.
To run the code here, you have to get the September 8, 2018 version of SLERs posted on Dataverse with the title "State Legislative Election Returns, 1967-2016", and add the prefix "001_" to the file name when you put it into the folder where you run the code. I left that file out of this post to save storage space. I also left out the drop-1 analysis files to save storage space. The code in 101 creates those files anyway
County FIPS Matching Tool
No full textThis tool--a simple csv or Stata file for merging--gives you a fast way to assign Census county FIPS codes to variously presented county names. This is useful for dealing with county names collected from official sources, such as election returns, which inconsistently present county names and often have misspellings. It will likely take less than ten minutes the first time, and about one minute thereafter--assuming all versions of your county names are in this file. There are about 3,142 counties in the U.S., and there are 77,613 different permutations of county names in this file (ave=25 per county, max=382). Counties with more likely permutations have more versions. Misspellings were added as I came across them over time. I DON'T expect people to cite the use of this tool. DO feel free to suggest the addition of other county name permutations
Chamber Level State Legislator Race: 1971-2021
No full textCovers almost all 99 legislative chambers from 1971 to 2021. Tracks the proportion of legislators who are 1) african-american, 2) Cuban, 3) East Asian, 4) Non-Cuban Latino, 5) MENA, 6) Native American, 7) Pacific Islander (includes Native Hawaiian), 8) South Asian and 9) non-Latino white. Also reports the average chamber and legislative tenure of each group in each chamber-session year. This dataset was computed from individual level legislator data from Carl Klarner’s State Legislator Race dataset
Title: Replication Data for Overcoming Fiscal Gridlock: Institutions and Budget Bargaining
No full textThe files "all_fed_data_11_9_11," "filtered_6_8_11_updated," and "replication_latebudgets" contain the files necessary to replicate the analyses in the article "Overcoming Fiscal Gridlock: Institutions and Budget Bargaining." The file "State_Budget_Info1960to2010_2011_07_27_For_Others" is related data which isn't necessary for replication. The article analyzed data that stopped at 2006, while this file contains data on late state budgets through 2010. Much of the other data in this file has been updated since its creation, but I want to post this now as I'm not sure when I'll have time to get the more recent files ready for posting
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