Author:
Publisher:
ISBN:
Category : Farm produce
Languages : en
Pages : 44
Book Description
1,000 Places To See Before You Die 2019 Calendar
Author: Patricia Schultz
Publisher:
ISBN: 9781523503520
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781523503520
Category :
Languages : en
Pages :
Book Description
United States Foreign Trade in Agricultural Products, Value by Countries, Calendar Year
U.S. foreign agricultural trade by countries, calendar year
Author:
Publisher: Food & Agriculture Org.
ISBN: 9251391912
Category :
Languages : en
Pages : 46
Book Description
Publisher: Food & Agriculture Org.
ISBN: 9251391912
Category :
Languages : en
Pages : 46
Book Description
U.S. Foreign Agricultural Trade Statistical Report, Calendar Year
U.S. Foreign Agricultural Trade
Double-booked: Effects of overlap between school and farming calendars on education and child labor
Author: Allen IV, James
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 76
Book Description
Across sub-Saharan Africa, countries with a greater percentage of overlapping days in their school and farming calendars also have lower primary school survival rates. In theory, greater overlap between the school and farming calendars should indeed reduce schooling investments, and farm-based child labor too, as it constrains the time allocation opportunity set for both productive activities. I causally identify such effects by leveraging a four-month shift to the school calendar in Malawi that exogenously changed the number of days that the school calendar overlapped with specific crop calendars, which differentially affected communities based on their pre-policy crop allotments. Using panel data for school-aged children, I find that a 10-day increase in school calendar overlap during peak farming periods significantly decreases school advancement by 0.34 grades (one lost grade for every three children) and the share of children engaged in peak-period household farming by 11 percentage points after four years. Secondary analyses reveal stronger negative schooling impacts for girls and poorer households driven by overlap with the labor-intensive planting period. A policy simulation illustrates that adapting the school calendar to minimize overlap with peak farming periods is a highly cost-effective educational intervention to increase school participation by better accommodating farm labor demand.
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 76
Book Description
Across sub-Saharan Africa, countries with a greater percentage of overlapping days in their school and farming calendars also have lower primary school survival rates. In theory, greater overlap between the school and farming calendars should indeed reduce schooling investments, and farm-based child labor too, as it constrains the time allocation opportunity set for both productive activities. I causally identify such effects by leveraging a four-month shift to the school calendar in Malawi that exogenously changed the number of days that the school calendar overlapped with specific crop calendars, which differentially affected communities based on their pre-policy crop allotments. Using panel data for school-aged children, I find that a 10-day increase in school calendar overlap during peak farming periods significantly decreases school advancement by 0.34 grades (one lost grade for every three children) and the share of children engaged in peak-period household farming by 11 percentage points after four years. Secondary analyses reveal stronger negative schooling impacts for girls and poorer households driven by overlap with the labor-intensive planting period. A policy simulation illustrates that adapting the school calendar to minimize overlap with peak farming periods is a highly cost-effective educational intervention to increase school participation by better accommodating farm labor demand.
Foreign Agricultural Trade
Supercharge Power BI
Author: MrExcel's Holy Macro! Books
Publisher: Packt Publishing Ltd
ISBN: 1836643020
Category : Computers
Languages : en
Pages : 292
Book Description
Master the power of DAX and data modeling in Power BI to elevate your data analysis skills. This comprehensive guide covers essential functions, advanced techniques, and practical examples for mastering business analytics. Key Features Comprehensive coverage of DAX functions Step-by-step progression from basics to advanced topics Practical examples to reinforce learning Book DescriptionThis guide is designed to empower Power BI users with advanced skills in data modeling and DAX. It begins with an introduction to the foundational concepts of data modeling, where you'll learn how to structure your data for optimal performance and analysis. You’ll then progress to mastering essential DAX functions, including iterators, filters, and time intelligence. These chapters will help you create sophisticated calculations that bring your data to life. As you advance, the guide delves into more complex topics like evaluation context, context transition, and disconnected tables. These concepts are crucial for understanding how DAX formulas interact with your data, enabling you to build more accurate and insightful reports. The guide also covers practical applications, such as transferring DAX skills to Excel and using advanced Power BI features like Analyze in Excel and Cube Formulas. By the end of this book, you'll have a deep understanding of both data modeling and DAX, equipping you with the knowledge to tackle complex data challenges. Whether you’re working on business intelligence projects or enhancing your data analysis capabilities, this guide will give you the tools to excel in Power BI.What you will learn Create and load data models Master DAX functions Utilize filter propagation Implement time intelligence Transition context efficiently Transfer DAX skills to Excel Who this book is for This book is ideal for data analysts, business intelligence professionals, and Power BI users looking to deepen their understanding of DAX and data modeling. A basic understanding of Power BI and familiarity with data analysis concepts are recommended.
Publisher: Packt Publishing Ltd
ISBN: 1836643020
Category : Computers
Languages : en
Pages : 292
Book Description
Master the power of DAX and data modeling in Power BI to elevate your data analysis skills. This comprehensive guide covers essential functions, advanced techniques, and practical examples for mastering business analytics. Key Features Comprehensive coverage of DAX functions Step-by-step progression from basics to advanced topics Practical examples to reinforce learning Book DescriptionThis guide is designed to empower Power BI users with advanced skills in data modeling and DAX. It begins with an introduction to the foundational concepts of data modeling, where you'll learn how to structure your data for optimal performance and analysis. You’ll then progress to mastering essential DAX functions, including iterators, filters, and time intelligence. These chapters will help you create sophisticated calculations that bring your data to life. As you advance, the guide delves into more complex topics like evaluation context, context transition, and disconnected tables. These concepts are crucial for understanding how DAX formulas interact with your data, enabling you to build more accurate and insightful reports. The guide also covers practical applications, such as transferring DAX skills to Excel and using advanced Power BI features like Analyze in Excel and Cube Formulas. By the end of this book, you'll have a deep understanding of both data modeling and DAX, equipping you with the knowledge to tackle complex data challenges. Whether you’re working on business intelligence projects or enhancing your data analysis capabilities, this guide will give you the tools to excel in Power BI.What you will learn Create and load data models Master DAX functions Utilize filter propagation Implement time intelligence Transition context efficiently Transfer DAX skills to Excel Who this book is for This book is ideal for data analysts, business intelligence professionals, and Power BI users looking to deepen their understanding of DAX and data modeling. A basic understanding of Power BI and familiarity with data analysis concepts are recommended.