Using a transaction cost framework, we analyze the costs of activities that comprise floodplain buyouts. Federal data do not distinguish transaction costs, but they do suggest that the cost of purchasing properties often accounts for 80% or less of total project costs. Through a systematic review (n = 1103 publications) and an analysis of government budgets (across n = 859 jurisdiction-years), we find limited sources with relevant cost information, none of which reports transaction costs.

Replication materials for "Government-Party Evaluations and The Cost of Governing for Far-Right Parties."

This dataset contains the costs of direct & ancillary services (outputs) for TB, as estimated in the Value TB project. Data was collected in 78 health facilities across five countries (including Kenya, Ethiopia, India, Philippines, and Georgia). Data contains the total cost incurred at the facility level, the total quantity of outputs delivered at each facility during the costing period, and the unit cost of delivering one output. Total and unit costs are detailed by input (including staff time, building space, capital, equipment, supplies, etc).

Replication data for Paloma and Associates Open Access Cost Transparency Project Replication Data

Data used in "Guest Post — Transparency: What Can One Learn from a Trove of Invoices?"

Replication datasets and code. Visit https://dataone.org/datasets/sha256%3A7207123a6c40852ac30542a096087ce160a919b55e2fda56c2214593297c59ec for complete metadata about this dataset.

How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.

The data replicate tables and figures from "Distributional National Accounts: Methods and Estimates for the United States", by Piketty, Saez, and Zucman.

Dataset description: This dataset contains the information needed to replicate the results presented in the article “Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?”. The data were collected as part of a study investigating recruitment strategies for a large-scale online public participation GIS (PPGIS) platform in coastal areas of northern Norway. To investigate different recruitment strategies, we reviewed previous environmental PPGIS studies using random sampling and methods to increase response rates. We compared the attained results with our large-scale PPGIS in northern Norway, where we used both random and volunteer (traditional and social media) sampling. The dataset includes response rates for the 5% of the population (13 regions in northern Norway) recruited by mail to participate in an online PPGIS survey, response rates from volunteers recruited through traditional and social media, synthetic demographic data, and the code necessary for processing demographic data to obtain the results presented in the article. Original demographic data is not shared due to privacy legislation. We furthermore calculated time spent and costs used for recruiting both randomly sampled persons and volunteers. Article abstract: Public participation GIS surveys use both random and volunteer sampling to recruit people to participate in a self-administered mapping exercise online. In random sampling designs, the participation rate is known to be relatively low and biased to specific segments (e.g., middle-aged, educated men). Volunteer sampling provides the opportunity to reach a large crowd at reasonable costs but generally suffers from unknown sampling biases and lower data quality. The low participation rates and the quality of mapping question the validity and generalizability of the results, limiting their use as a democratic tool for enhancing participation in spatial planning. We therefore asked: How can we increase participation in online environmental PPGIS surveys? Is it worth the time and costs? We reviewed environmentally related online PPGIS surveys (n=26) and analyzed the sampling biases and recruitment strategies utilized in a large-scale online PPGIS platform in coastal areas of northern Norway via both random (16978 invited participants) and volunteer sampling. We found that the time, effort, and costs required to increase participation rates yielded meager results. We discuss the time and cost efficiency of different recruitment methods and the implications of participation levels despite the recruitment methods used.

211 estimates of the social cost of carbon are included in a meta-analysis. The results confirm that a lower discount rate implies a higher estimate; and that higher estimates are found in the gray literature. It is also found that there is a downward trend in the economic impact estimates of the climate; that the Stern Review’s estimates of the social cost of carbon is an outlier; and that the right tail of the distribution is fat. There is a fair chance that the annual climate liability exceeds the annual income of many people.

The programs replicate tables and figures from "Wages and the Value of Nonemployment", by Jaeger, Schoefer, Young, and Zweimueller. Please see the Instructions and Documentation file for additional details.

This dataset contains collections of key parameters in the Nordic power market outlooks from 43 scenarios in 15 reports published between 2016 and 2019. The key parameters include fuel prices, carbon prices, electricity consumption, installed capacities, wind generation, and power price. All data are extracted directly from the material and converted to the same unit when necessary.

180 instances with service cost (Cjτ), defining service cost as total cost (operation and maintenance costs) of maintaining machine j that has not been maintained in τ periods. Each file contains a matrix of the service costs Cjt where the rows represent the machines (j) and the columns the number of periods since the last revision (τ) Service cost is composed by linear operating cost (aj· τ) and step function maintenance cost (cfjτ) both depending on the number of periods (τ) since last maintenance of machine j was executed

This file contains the replication data for the paper "The Economics of Lost Knowledge: Modeling the Knowledge Cost Due to Non-FAIR Data Practices." It includes the two networks used in the paper, arXiv and OpenAlex, a SQLite database to check whether a link is available on the internet, and the raw network as extracted from arXiv. Aquest fitxer conté les dades de replicació de l’article "L’economia del coneixement perdut: modelant el cost del coneixement degut a pràctiques de dades no FAIR." Inclou les dues xarxes utilitzades a l’article, arXiv i OpenAlex, una base de dades SQLite per comprovar si un enllaç està disponible a internet, i la xarxa en brut tal com va ser extreta d’arXiv. Este archivo contiene los datos de replicación del artículo "La economía del conocimiento perdido: modelando el coste del conocimiento debido a prácticas de datos no FAIR." Incluye las dos redes utilizadas en el artículo, arXiv y OpenAlex, una base de datos SQLite para comprobar si un enlace está disponible en internet, y la red en bruto tal como fue extraída de arXiv.

This file contains the Stata codes for the replication study, “Risk Sharing and Transaction Costs: A Replication Study of Evidence from Kenya's Mobile Money Revolution .” These Stata codes were used to produce tables and figures included in the replication paper. The paper was funded by 3ie’s Replication Window, supported by the Bill and Melinda Gates Foundation. Go to http://dx.doi.org/10.1257/aer.104.1.183 to visit the original article’s page for additional materials and author disclosure statement(s). To access to the four rounds of survey data conducted by Professors Tavneet Suri and William Jack go to https://dataverse.harvard.edu/dataverse/mobilemoney. Please direct any comments or queries to the corresponding author, Nazila Alinaghi at nazila.alinaghi@vuw.ac.nz .

According to a growing tradition in International Relations, one way governments can credibly signal their intentions in foreign policy crises is by creating domestic audience costs: leaders can tie their hands by publicly threatening to use force, since domestic publics punish leaders who say one thing and do another. We argue here that there are actually two logics of audience costs: audiences can punish leaders both for being inconsistent (the traditional audience cost), and for threatening to use force in the first place (a belligerence cost). We employ an experiment that disentangles these two rationales, and turn to a series of dispositional characteristics from political psychology to bring the audience back into audience cost theory. Our results suggest that traditional audience cost experiments may overestimate how much people care about inconsistency, and that the logic of audience costs (and the implications for crisis bargaining) varies considerably with the leader's constituency.

The programs replicate tables and figures from "Labor in the Boardroom", by Jaeger, Schoefer and Heining. Please see the replication documentation file for additional details.

Analysis of ‘Harvard Tuition’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/harvard-university/harvard-tuition on 14 February 2022.

--- Dataset description provided by original source is as follows ---

Harvard tuition data since 1985, for both the undergraduate College and the graduate and professional schools.

The Data

This dataset consists of two files: tuition_graduate.csv and undergraduate_package.csv, which contain the tuition and fees data for the graduate schools and undergraduate College, respectively.

tuition_graduate.csv contains the following fields:

• academic.year: the academic year, between 1985 and 2017
• school: the name of the graduate or professional school; one of GSAS, Business (MBA), Design, Divinity, Education, Government, Law, Medical/Dental, Public Health (1-Year MPH)
• cost: the cost of tuition at a given school in a given year

undergraduate_package.csv contains the following fields:

• academic.year: the academic year, between 1985 and 2017
• component: the component of undergraduate fees; one of Tuition,*Health Services Fee*,*Student Services Fee*,*Room*,*Board*,*Total*
• cost: the cost of the component; or, if the component is Total, the sum of the costs of the other components in that year

Acknowledgements

All of the data in this dataset comes from The Harvard Open Data Dataverse. Specific citations are as follows:

for the graduate tuition data:
Harvard Financial Aid Office, 2015, "Harvard graduate school tuition", doi:10.7910/DVN/LV0YSQ, Harvard Dataverse, V1

for the undergraduate tuition and fees data:
Harvard Financial Aid, 2015, "Harvard College Tuition", doi:10.7910/DVN/MSS2BE, Harvard Dataverse, V1 [UNF:6:FyXNny+KBTgLX+DzewzEfg==]

--- Original source retains full ownership of the source dataset ---

Utilization of low-cost sensors have widely used in various application and environment. One of important thing is validation of measurement data. Here we have been doing short experience to handle this situation.

The programs replicate tables and figures from "Reallocation Effects of the Minimum Wage", by Dustmann, Lindner, Schoenberg, Umkehrer, and vom Berge. Please see the readme_data file for additional details.