1,721,794 research outputs found
Replication data for: "Small Firm Death in Developing Countries"
No full textMcKenzie, David, and Paffhausen, Anna Luisa, (2019) "Small Firm Death in Developing Countries." Review of Economics and Statistics 101:4, 645-65
Replication data for: "Small Firm Death in Developing Countries"
No full textMcKenzie, David, and Paffhausen, Anna Luisa, (2019) "Small Firm Death in Developing Countries." Review of Economics and Statistics 101:4, 645-65
Replication Data for: "Can Government intervention make firms more investment-ready? A randomized experiment in the Western Balkans"
No full textCusolito, Ana Paula, Dautovic, Ernest, and McKenzie, David, (2021) “Can Government Intervention Make Firms More Investment Ready? A Randomized Experiment in the Western Balkans.” Review of Economics and Statistics 103:3, 428–442
Replication Data for: "Can Government intervention make firms more investment-ready? A randomized experiment in the Western Balkans"
No full textCusolito, Ana Paula, Dautovic, Ernest, and McKenzie, David, (2021) “Can Government Intervention Make Firms More Investment Ready? A Randomized Experiment in the Western Balkans.” Review of Economics and Statistics 103:3, 428–442
Replication Data for: Do Wage Subsidies Provide a Stepping Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan
No full textGroh, Matthew, Krishnan, Nandini, McKenzie, David, and Vishwanath, Tara, (2016) "Do Wage Subsidies Provide a Stepping Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan." Review of Economics and Statistics 98:3, 488-502
Replication Data for: Do Wage Subsidies Provide a Stepping Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan
No full textGroh, Matthew, Krishnan, Nandini, McKenzie, David, and Vishwanath, Tara, (2016) "Do Wage Subsidies Provide a Stepping Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan." Review of Economics and Statistics 98:3, 488-502
How can we learn whether firm policies are working in africa ? challenges (and solutions?) for experiments and structural models
Get PDFFirm productivity is low in African countries, prompting governments to try a number of active policies to improve it. Yet despite the millions of dollars spent on these policies, we are far from a situation where we know whether many of them are yielding the desired payoffs. This paper establishes some basic facts about the number and heterogeneity of firms in different sub-Saharan African countries and discusses their implications for experimental and structural approaches towards trying to estimate firm policy impacts. It shows that the typical firm program such as a matching grant scheme or business training program involves only 100 to 300 firms, which are often very heterogeneous in terms of employment and sales levels. As a result, standard experimental designs will lack any power to detect reasonable sized treatment impacts, while structural models which assume common production technologies and few missing markets will be ill-suited to capture the key constraints firms face. Nevertheless, the author suggests a way forward which involves focusing on a more homogeneous sub-sample of firms and collecting a lot more data on them than is typically collected.Microfinance,Small Scale Enterprise,E-Business,ICT Policy and Strategies,Banks&Banking Reform
0120_02_20
No full textFebruary 12, 1874 - Salt Lake City, Utah Territory; McKenzie, David, to President Brigham Young. Letter informs Young on the state of the Sarah Cook case. Other lawyers imply Young\u27s attorneys by negligence had crucified you in the case by not getting it before the Supreme Court of the Territory. Suit had been entered to recover past rent amounting to $2,890.75, etc. A detailed account of the circumstances follow
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
