These replication files use data from the Survey of Consumer Finances to compute household-level exposures to changes in monetary policy. The replication file also estimates the causal effect of monetary policy on a list of macroeconomic variables.

This package contains replication data and code for "With or without him? Experimental evidence on cash grants and gender-sensitive trainings in Tunisia" by Jules Gazeaud, Nausheen Khan, Eric Mvukiyehe, and Olivier Sterck. An earlier version of this package for the related Working Paper was published on the World Bank Reproducible Research Repository under the doi: https://doi.org/10.60572/cgwr-5f85. The package contains 2 datasets with data collected from a baseline survey and an endline survey for a Randomized Controlled Trial which took place in Jendouba, Tunisia between 2016 and 2021. This folder contains all the data and code necessary for replicating the tables and figure in the paper and online appendix. The data files are in Stata (.dta) format, and the replication code was written in Stata and requires Python to run. For more information on the data or code, please see the readme.

I examine replications of empirical papers in development economics published in the top-5 and next-5 general interest journals between the years 2000 through 2015. Of the 1,138 empirical papers, 71 papers (6.2 percent) were replicated in another published paper or working paper. The majority (77.5 percent) of replications involved reanalysis of the data using different econometric specifications to assess robustness. The strongest predictor of whether a paper is replicated or not is the paper's Google Scholar citation count, followed by year of publication. Papers based on randomized control trials (RCTs) appear to be replicated at a higher rate (12.5 percent).

The data and programs replicate tables and figures from "The Rate of Return on Everything, 1870-2015", by Jorda, Knoll, Kuvshinov, Schularick, and Taylor. Please see the replication_help_file for additional details.

This Replication Package contains all data and do files to replicate the tables and graphs in the paper "Reversal of Economic Integration: Evidence from EU Enlargement" by Hinnerk Gnutzmann, Arevik Gnutzmann-Mkrtchyan, and Tobias Korn, published in the Scandinavian Journal of Economics 2025.

Documentation file for do-files and datasets corresponding to paper titled: “Public Health Policy at Scale: Impact of a Government-sponsored Information Campaign on Infant Mortality in Denmark” Onur Altindag, Jane Greve, and Erdal Tekin This document describes the datasets, STATA and R programs that replicate the results for the paper “Public Health Policy at Scale: Impact of Government-sponsored Information Campaign on Infant Mortality in Denmark” by Onur Altindag, Jane Greve, and Erdal Tekin, Review of Economics and Statistics, the version that is accepted on February 2021.

Abstract

We revisited Indian weaving firms nine years after a randomized experiment that changed their management practices. While about half of the practices adopted in the original experimental plants had been dropped, there was still a large and significant gap in practices between the treatment and control plants, suggesting lasting impacts of effective management interventions. Few practices had spread across the firms in the study, but many had spread within firms. Managerial turnover and the lack of director time were two of the most cited reasons for the drop in management practices, highlighting the importance of key employees.

Analysis unit

Firm

Kind of data

Sample survey data [ssd]

Sampling procedure

The study is based on a sample of textile plants in India. For a full description of the sampling methodology, please refer to the research paper: Do Management Interventions Last? Evidence from India", American Economic Journal.

Mode of data collection

Computer Assisted Personal Interview [capi]

Probably because of their interpretability and transparent nature, synthetic controls have become widely applied in empirical research in economics and the social sciences. This article aims to provide practical guidance to researchers employing synthetic control methods. The article starts with an overview and an introduction to synthetic control estimation. The main sections discuss the advantages of the synthetic control framework as a research design, and describe the settings where synthetic controls provide reliable estimates and those where they may fail. The article closes with a discussion of recent extensions, related methods, and avenues for future research.

The files described below replicate the results of "Big G". They are divided into three parts, which can be found in three different sub-folders: (1) FiveFacts, (2) ModelSimulation, and (3) VAR. ************************************************************************************* ******************* PART 1: Five Facts on Government spending *********************** ************************************************************************************* Folder: FiveFacts This folder contains code to replicate Figures 1-4 and Tables 1-4 in Section 3 of the paper. _ Data Set-Up _ In order to run the included script files, the main dataset needs to be assembled. The data on federal procurement contracts used in this paper is all publicly available from USASpending.gov. The base dataset used for all of the empirical results in this paper consists of the universe of procurement contract transactions from 2001-2019---around 30 GB of data. Due to its size, the data requires a substantial amount of computing power to work with. Our approach was to load the data into a SQL database on a server, following the instructions provided by USASpending.gov, which can be found here: https://files.usaspending.gov/database_download/usaspending-db-setup.pdf. As a result, the replication code cannot feasibly start with the raw dataset, though we have provided the raw files at an annual basis at [INSERT URL FOR SITE HERE]. The files "setup_data_1.R", "setup_data_2.R", "setup_data_3.R", and "setup_data_4.R" pull from the SQL database and create intermediate files that are provided with this replication package. You will NOT be able to run the "set_up" files without setting up your own SQL database, but you CAN run the Figure and Table replication code (described below) using the intermediate files created in the setup files. _ Figures _ Figure 1 + Step 1: Run 'create_contract_proxy.R,' which creates a dataset called 'contracts_for_ramey_merge.dta' + Step 2: Run ramey_zubairy_replication.do, which is a file TAKEN DIRECTLY FROM THE REPLICATION PACKAGE for Ramey & Zubairy (JPE, 2018), found at the link below. We merge our dataset into theirs, and re-run their regressions on our data. Ramey & Zubairy (2018) replication: https://econweb.ucsd.edu/~vramey/research/Ramey_Zubairy_replication_codes.zip. Figure 2 + 'Figure_2a.R' produces Figure 2a using 'intermediate_file_1.RData' + 'Figure_2b.R' produces Figure 2b using 'intermediate_file_2.RData' Figure 3 + 'Figure_3a.R' produces Figure 3a using 'intermediate_file_3.RData' + 'Figure_3b.R' produces Figure 3b using 'intermediate_file_2.RData' Figure 4 + 'Figure_4.R' produces Figures 4a and 4b using 'intermediate_file_3.RData' _ Tables _ Table 1 + 'Table_1.do' produces Table 1 using 'contracts_for_ramey_merge.dta' Table 2 + 'Table_2_upper' produces the top portion of Table 2 using the 'sectors_unbalanced.dta' file created in 'setup_data_4.R' + 'Table_2_lower' produces the lower portion of Table 2 using the 'firms_unbalanced.dta' file created in 'setup_data_4.R' Table 3 + 'Table_3.R' produces Table 3 using 'intermediate_file_1.RData'. Table 4 + Components for Table 4 can be found in 'Figure_3a.R' and 'Figure_3b.R' (noted in those files). ************************************************************************************* ************************** PART 2: Model Simulation ********************************* ************************************************************************************* Folder: "ModelSimulation" + Matlab file MAIN_generateIRFs.m generates Figures 5 and 6 in the paper. It calls the mod file modelG.mod + Matlab file MAIN_generateIRFs_htm.m generates Figure A.21 in the Appendix. It calls the mod file modelG_htm.mod + Both files run on Dynare 5.4. ************************************************************************************* ******************************** PART 3: VAR **************************************** ************************************************************************************* Folder: "VAR" (see README in VAR folder for more detail). Data Setup: "setup_var_data.R," like the files in the FiveFacts folder, will not run. They create a dataset of contracts by month and naics2 sector from the SQL database. + 'VAR.do' runs the VAR that produces Figure 7.

The data and programs replicate tables and figures from "Pre-Trends and Trade Effects of Temporary Trade Barriers", by Khederlarian and Steinbach. Please see the ReadMe file for additional details.

The files that are necessary to replicate all the Figures and Tables in the paper.

This dataset contains data from a survey of university students in Berlin. The survey was conducted to collect data for a study that analyzes the cultural dimension of the globalization divide. In this study, the survey respondents are used as a proxy population for cosmopolitans. The central part of the survey is a conjoint experiment, in which respondents evaluate profiles that are described by lifestyle characteristics, some of which form a cosmopolitan lifestyle. In turn, the respondents’ evaluations tell us whether cosmopolitans prefer others with cosmopolitan lifestyle characteristics. This research question relates to current scientific debates about a new cleavage between cosmopolitan and communitarians, or, respectively, between winners and losers of globalization. The study contributes to an ongoing shift in research from the structural and political divisions between the cleavage groups towards analyzing how the groups are divided in socio-cultural aspects, while specifically focusing on the cosmopolitans’ mode of judging others based on their lifestyle characteristics.

Data and Replication Files for Daylight Saving Time and Standardized Test Performance

Replication data for the paper The Gold Pool (1961–1968) and the Fall of the Bretton Woods System: Lessons for Central Bank Cooperation.Includes Eviews replication programme files and data files providing new exclusive data. If anything is unclear or if you want to replicate the regressions, feel free to contact the authors who will be happy to help and welcome replication efforts! Data that are unique and might interest other researchers include:Daily gold price from 1961 to 1968 (this is published here for the first time and is unavailable in other sources to the best of our knowledge)Daily intervention data by European central banks within the Gold Pool (read more about it in the paper)Quarterly data on withdrawal at the US gold window. This data has not yet been released by the New York Fed and is unique. It is central to better understandMore replication data which should suffice to re-run all the regression in the paper and recreate all the chartsThe source of the data is explained in the excel sheet and the paper provides additional information.

Replication file for "Home Currency Issuance in International Bond Markets" by Hale, Jones, Spiegel. The data are mostly proprietary, but we share all the codes and the description of how the data inputs need to be formatted.

Data and scripts used to produce all tables and figures in "Conditional Cash Transfers and Women’s Reproductive Choices".

This is the supporting data for the manuscript: Ego-relevance in Team Production. It includes: - Code and data to reproduce regression analysis (in Stata). - Code and data to reproduce figures (in R).

This replication package refers to a paper entitled 'Who should pay for higher education?' which has not yet been published. The reference will be added as soon as the paper is published. The debate over free versus tuition-based higher education centers on their significant social, economic, and political consequences, particularly regarding social mobility and economic inequality. However little is known about public preferences for higher education finance, especially when the potential choice set of policy options is broadened and when equity considerations become more salient. We conduct a survey experiment on a representative sample of the German population (N=6208) to study this. We find that making respondents aware of the inequalities of the free system, makes respondents more supportive of all tuition fee systems. Regardless of experimental variation, respondents are more supportive of alternative tuition fee policies that depend on the students' downstream income, or on their parental income. This support increases with the experimental information treatments. The published Stata syntax file (do-file) and the dataset (a partial version of the 2020 Inequality barometer published under https://doi.org/10.7802/2740) can be used to replicate the results in the article.

This dataset contains MATLAB .m files for replication of images and visualization of data. See READ ME file. For image processing techniques used on the raw video data from the experiments, see https://github.com/ArcGriffin/Video-Data-Processing-CASPER-/tree/main.

The published Stata syntax files (do-files) and data can be used to replicate the results reported in the cited article. Abstract of the journal article: In 25 years, research on reputation-based online markets has produced robust evidence on the existence of the so-called reputation effect, i.e. the positive relation between online traders’ reputations and these traders’ market success in terms of sales and prices. However, there is an ongoing debate on what the size of the reputation effect means. We argue that the rate of truthful feedback that traders leave after completed transactions is negatively related to the size of the reputation effect. The higher the rate of truthful feedback, the quicker will untrustworthy traders be screened and disincentivized to enter the market. With mostly trustworthy traders entering the market, buyers will demand smaller price discounts from market entrants without a good reputation. We test this mechanism empirically in two laboratory experiments. In both experiments, we systematically vary the probability with which information about sellers’ behavior in an economic trust game is recorded and shown to future interaction partners of these sellers. In the second experiment, we introduce competition among sellers by allowing buyers to choose one of two sellers in each interaction. We find that sellers give discounts to buyers to build or repair their reputation and that sellers who give discounts or have a good reputation are trusted more. However, we do not find support for our hypothesis that a higher feedback rate significantly decreases sellers’ propensity to give discounts. We argue and show in exploratory analyses that this is likely due to the high level of unconditional trust buyers exhibit towards sellers without a reputation. Yet, seller competition increases the propensity to offer discounts among sellers without a reputation the most. Non-probability Sample - Availability Sample Laboratory experimentExperiment.Laboratory LaborexperimentExperiment.Laboratory